THE ECOLOGY OF DEVELOPMENTAL TIMING IN A NEOTROPICAL TURTLE,
KINOSTERNON LEUCOSTOMUM
A dissertation presented to
the faculty of
the College of Arts and Sciences of Ohio University
In partial fulfillment
of the requirements for the degree
Doctor of Philosophy
Brian D. Horne
August 2007
© 2007
Brian D. Horne
All Rights Reserved
This dissertation titled
THE ECOLOGY OF DEVELOPMENTAL TIMING IN A NEOTROPICAL TURTLE,
KINOSTERNON LEUCOSTOMUM
by
BRIAN D. HORNE
has been approved for
the Department of Biological Sciences
and the College of Arts and Sciences by
Willem M. Roosenburg
Associate Professor of Biological Sciences
Benjamin M. Ogles
Dean, College of Arts and Sciences
Abstract
HORNE, BRIAN D., Ph.D., August 2007, Biological Sciences
THE ECOLOGY OF DEVELOPMENTAL TIMING IN A NEOTROPICAL TURTLE,
KINOSTERNON LEUCOSTOMUM (136 pp.)
Director of Dissertation: Willem M. Roosenburg
I studied how the expression, timing, and duration of embryonic diapause (ED),
morphogenesis, and embryonic aestivation (EA) relate to variation in environmental
conditions experienced by turtle embryos. ED and EA are putative mechanisms that
increase embryonic survivorship. ED arrests development before main morphogenesis
and is induced before the onset of adverse environmental conditions. EA prolongs
incubation by depressing the metabolism of the embryo after completion of
morphogenesis. I tested two hypotheses with regard to the environmental conditions that
stimulate ED and EA based on climatic patterns. My first hypothesis suggested a single suitable developmental period (SDT; periods when soil moisture and temperature of
nesting substrate are within the physiological tolerances of developing embryos) during
the dry seasons, and my second hypothesis predicted two SDTs at the transition from the
rainy and dry seasons. Incubation experiments using white-lipped mud turtle,
Kinosternon leucostomum, embryos confirmed that temperature is an important factor in
determining the duration of both ED and morphogenesis, and that morphogenesis occurs
during the dry season SDT.
Female size generally correlates positively with egg and offspring size. However,
when embryos experience prolonged incubation periods, females may alter their
reproductive investment strategies to offset potential additional embryonic energy
expenditures. When accounting for female size, larger clutches had eggs with greater mass than smaller clutches; and egg size increased with female size. Thus in K. leucostomum the typical relationship between egg size and clutch size as it pertains to division of maternal resources per propagule is weakened by the embryo’s ability to arrest development during extended incubation periods.
Nearly 50% of all turtle taxa are undocumented as to the expression of ED. I used categorical data modeling to create probabilities for predicting ED expression. Results indicate that greater than one-half of the undocumented species have a high probability of expressing ED. Conservation projects that alter incubation conditions of eggs may alter life history patterns and create unforeseen implications for population viability. Thus, it is critical for biologists performing ex-situ chelonian conservation projects with species which posses prolonged incubation periods to understand the role of ED and EA has in chelonian developmental ecology.
Approved:
Willem M. Roosenburg
Associate Professor, Biological Sciences
Dedication
For my parents,
Dick and Rama, who gave me my first pet snake when I was four,
and my siblings,
Mike and Jen, who have always been my best friends.
Acknowledgments
I have a great many people to thank for their assistance in completing my
dissertation, without their help, I would not been able to accomplish this project. Willem
Roosenburg, my dissertation advisor was gracious in his willingness to indorse my endeavors and he did not shy away from supporting my decisions to conduct fieldwork in
Mexico. I am thankful for his insights into chelonian reproductive ecology, but more
importantly, I am thankful that he believed in my abilities as a scientist when others
doubted. My departmental committee members Geoff Buckley, Kelly Johnson, Don
Miles, and Matt White provided guidance during the early phases of designing my
dissertation proposal and willingly gave of their time during the both my proposal
defense and comprehensive exams. Steve Reilly was also instrumental in helping
formulate the model of facultative developmental timing. The Department of Biological
Sciences provided funding for me to attend national and international meetings, as well as
to participate in an Organization of Tropical Studies graduate course.
The late Mike Ewert guided me throughout the design of this project. I truly wish
he could have seen the results; I know he would have enjoyed them. My great friend, the
late Abigail Sorenson, shared my enthusiasm for tropical turtles and assisted in the field;
I wish she too could have seen the results of this project.
Special thanks must be given to my collaborators in Mexico: Ottho Aquino,
Gustavo Aguirre León, Erasmo Cazares Hernández, Miguel de la Torre Loranca,
Veronica Espejel González, Nora Lopez, Marco Antonio Lopez Luna, Basillio Sanchez,
and Eladio Velasco; without their assistance I would never have been able to make the
cultural conversion necessary to accomplish my field research. Rosamond Coates,
Gonzalo Perez, and Martin Ricker, were instrumental in providing a base for my field research. I am indebted to Dick Vogt for his invitation to work at his previous field sites and his assistance in getting me started in Mexico. His extensive knowledge of the region’s turtles laid the groundwork for my research. Peter Pritchard and Tim Walsh of the Chelonian Institute and Jamie Pena of the Glady’s Porter Zoo are owed a debt of gratitude for facilitating the importation of my samples from Mexico. Additionally, John
Iverson shared unpublished reproductive data on Geoemydids.
My fellow graduate students both current and past provided immeasurable assistance throughout my time at OU; I will remember them fondly. My lab mates: Phil
Allman, Dawn Ford, Tomek Radizo, and Laura Stadler were truly great sounding boards during the development of this project and with its analysis. I thank them for being some of my toughest critics. I must thank Noah Anderson and Tom Lorenz for their numerous discussions on turtle nesting ecology; and many thanks are due to Jonathan Willis for endearing me to the nuisances of survivorship analyses. My oldest friend, Bob Stone, encouraged my appreciation of life beyond academia.
My brother, Mike, and my sister, Jen, have always been ready to lend an ear, offer a hand, or give word of encouragement; for this, I am humbly grateful. My parents Dick and Rama not only encouraged me to chase my dreams but also generously provided the extra financial resources that made this project a possible. Words cannot express my true gratitude towards my family; they have and always will be the principal factor of my success. No one could ask for greater family support.
9
Table of Contents
Page
Abstract ……………………………………………………………………………….4
Acknowledgements …………………………………………………………….……..7
List of Tables …………………………………………………………………………10
List of Figures ………………………………………………………………………...11
Chapter 1: An Evolutionary Context for Embryonic Diapause …………...……...…13
Chapter 2: Embryonic Diapause in Turtles: Its Geographic Distribution Defined…..18
Chapter 3: Strategies for Seasonal Synchronization of Morphogenesis and Increasing Embryonic Survivorship: Modeling Developmental Timing in a Neotropical Turtle………………………………………………………………………………….33
Chapter 4: The Effect of Female Size on Egg/Clutch Size and Hatching Success in a Turtle (Kinosternon leucostomum) with Embryonic Diapause ………………………62
Literature Cited ………………………………………………………………………76
Appendix A. ED Categorical Modeling Database…………………..………………..100
Appendix B. Calculated Probabilities of Expressing ED …………………………….110
Appendix C. Calculated Probabilities of Not Expressing ED ………………………..112
Appendix D. Tables…………………………………………………………………...113
Appendix E. Figures…………………….………………………………………….….118
10
List of Tables
Table Page
3.1: Summary of Constant Temperature Equivalents (CTE) based on timing of oviposition and timing of developmental event. ……………………..……………113
3.2: Percent mortality by stage per month ………………………………………….114
4.1: Gravid female body size, clutch size and hatchlings per clutch………...... 115
4.2: Morphological differences (averaged by clutch) between population egg parameters and eggs that produce hatchlings………………………………………...116
4.3: Relationship between hatching success and egg parameters……………………117
11
List of Figures
Figure Page
2.1: Geographic distribution of the ED trait…………………………………………..118
2.2. Phylogenetic tree of extant turtle families with incidences of embryonic diapause evolution rooted with the extinct turtle Proganochelys; modified from Schafer et al., 1997……………………………………………………………………………………119
2.3: Frequency of ED expression of turtles within the two broad geographic bands…120
2.4: Frequency of ED expression amongst turtles whose distribution is outside the two broad geographic bands………………………………………………………………..121
2.5: Kinosternon phylogeny modified from Iverson, 1991…………………………….122
3.1: Latitudinal changes in seasonal precipitation duration and timing, modified from
Savage, 2004…………………………………………………………………………...123
3.2: Ontogenetic model for facultative developmental timing…………………………124
3.3: Soil temperature profile from the semi-natural incubation experiment……………126
3.4: Relationships between soil moisture, soil temperature, and seasonal changes in duration of ED and morphogenesis…………………………………………………….127
3.5: Seasonal Trends in Length of Developmental Stage……………………………....128
3.6: Survivorship trends based on timing of oviposition………………………..……..129
3.7: Embryonic diapause (ED) and morphogenesis (MORPH) survivorship analysis
………………………………………………………………………………………..…130
3.8: Embryonic diapause (ED) and morphogenesis (MORPH) hazard function analysis
……………………………………………………………………………………..…...131
3.9: Relationship of rainfall with hatchling events ………………………………..…...132
3.10: Modified ontogeny model……………………………………………..…………133
12
4.1: Relationship amongst female size, clutch size, and number of hatchlings per clutch…………………………………………………………………………………..134
4.2: Relationship of female carapace length to egg parameters……………….……...135
4.3: Relationship of clutch size to mean per clutch egg wet mass (g)………….…….136
13
Chapter 1
An Evolutionary Context for Embryonic Diapause
The regulation and manifestation of developmental process have long been
integral areas of research in the study of phenotypic development (e.g., phenotypic
plasticity (Sultan, 1987; Harvell, 1990; Freeman and Heron, 1998; Kingsolver and Huey,
1998; Seigel and Ford, 2001)). However, only recently has the link between
development and ecology been used to identify selection on these traits. Beginning in
1990’s with the rise of neo-embryological studies, the new field of developmental
biology emerged (Andrews and Donoghue, 2004), synthesizing the previous more
descriptive embryological studies (e.g., the works of Agassiz, Haeckel, Kowalevsky, and
von Baer) with modern molecular techniques (Gilbert, 1998). New directions within this
discipline include investigations into how developmental processes, particularly the role
of regulatory genes, play an important role in evolutionary processes creating the
research area referred to as “evo-devo” (Gilbert, 2001). Expounding upon the
evolutionary importance of developmental biology, Gilbert et al. (1996) created this
analogy “To go from functional biology to evolutionary biology without development is
like going from displacement to acceleration without dealing with velocity”.
Van Valen (1976) succinctly stated, “evolution is the control of development by
ecology” yet, the ecology of development has received the least attention in the field of
developmental biology. Investigating environmentally induced variation in evolutionary
biology is not novel, yet ecological developmental biology focuses on this variation
14
unfolding during embryogenesis and early ontogeny (Sultan, 2003). Much as how the
field of ecology was a relatively new field in the 1950-60’s, today ecological
developmental biology is in its infancy. This transition within developmental biology
parallels early ecological questions that were modeled and tested in the lab (e.g., Lotka,
1925; Volterra, 1926; Gause, 1932; and Huffaker, 1958), which then transitioned into
field research (e.g., MacArthur, 1958; Lack, 1966; Pianka, 1969; and Tinkle, 1967).
My studies link development and ecology with specific ontogenies in turtles; and
centered on the variable expression of two traits, embryonic diapause (ED) and
embryonic aestivation (EA). My work expands upon earlier laboratory studies of ED
expression in turtles by Ewert, 1985; 1991; and, Ewert and Wilson, 1996 by investigating
the adaptive significance of how ED and EA influence the facultative developmental
timing in the white-lipped mud turtle, Kinosternon leucostomum. The first objective of
the study was to determine how these two traits synchronize the timing of development
with suitable environmental conditions thereby improving embryonic survivorship. The
second objective was to determine how energetic efficiency by the embryo has impacts
beyond the egg stage (e.g., hatchling size). Integrating the results of the first two
objectives the third objective was to third determine how these traits influence parental
fitness with respect to reproductive potential and propagule size (i.e., is the trade-off
between number of eggs and egg size altered by in a species that express ED and EA).
I begin in chapter 2 by summarizing the current knowledge of the geographic
distribution of turtles expressing ED and elaborate on possible undocumented species
capable of expressing ED. Species that express ED are capable of reproducing over a
15
greater part of the year than species that do not. Yet, these species appear to be limited in
distribution to areas that subsurface nest temperatures remain above freezing throughout
the year. Although not the prevalent mode of development within turtles, the expression
of ED has been derived independently a minimum of four times within turtles. ED is
found in six of the ten families of freshwater turtles and tortoises with an increased
prevalence of the trait’s expression in two broad geographical bands with distinct
seasonal rainfall cycle, approximately 15-37 degrees north and south latitude.
Using categorical data modeling, I was able to create probabilities for predicting
the expression of ED based on eggshell type, distribution, and presence of ED in sister
taxa. Sixty-one species have a 70% probability of ED expression, and an additional 14
species have a 66% probability of expressing ED. Greater than one-half of the species
undocumented for the expression of ED have a high probability of expressing the trait,
whereas only 15.3% (21 species) have greater than a 96% probability of not expressing
the ED trait.
There is limited knowledge on the life history evolution of ED expressing turtles.
The preponderance of all turtle developmental studies has been on North American pond
turtles (Emydidae) during summer months, a time and region, where ED is unlikely to be
advantageous (e.g., freezing nest temperatures during the coldest months of the year).
Thus, it is perhaps inappropriate to infer evolutionary patterns from these studies to all
turtle species in general. The possibility that nearly a half of all turtle species have a
different developmental biology than the well-studied species encourages a plethora of
future comparisons.
16
In Chapter 3, I present a model that illustrates potential developmental trajectories
that incorporate ED and EA in K. leucostomum and how these two traits synchronize the
timing of development with suitable environmental conditions. The model makes
predictions based on variation in ontogeny and on the biophysical parameters
experienced in the nesting environment. My first hypothesis suggests a single suitable
developmental period (SDT; a period when soil moisture and temperature in the nesting
substrate is within the physiological tolerances of developing embryos) during the dry
seasons. My second hypothesis predicted two SDTs at the transition from the rainy and
dry seasons. Central to this chapter is the paradigm of nesting ecology; that variation in
environmental parameters relates via a “black-box” of physiology, (i.e., un-described
physiological mechanism) to variation in nesting ecology (timing of nesting and nest site
choice). Results from a semi-natural incubation experiment modify the model and
support the hypothesis that there is a single SDT restricting morphogenesis to the dry
season. Field and laboratory incubation experiments demonstrate that cool temperatures
influence the onset and duration of ED. The laboratory experiment confirmed that ED is
facultative and that temperature is an important regulatory factor in determining the
duration of both ED and morphogenesis. Thus, ED synchronizes morphogenesis to
conditions better suited for development and EA allows neonates to remain in the egg
until environmental conditions are suitable for post-emergence survival. Thus, the
combination of ED and EA may increase embryo survivorship when there are multiple
non-suitable periods for embryogenesis during ontogeny. In addition, these traits are
good examples of physiological mechanisms for germ banking, a more accurate term
17
than the commonly misused term bet hedging.
In chapter 4, I studied the relationship of female size to egg parameters,
egg/female size to clutch size, and egg/female size to hatching success in K. leucostomum
to determine if females alter their reproductive investment strategies to offset the
potential additional embryonic energy expenditures during prolonged incubation. Egg
length, width, volume, and wet mass increased with female carapace length with egg
mass increasing the most. Female K. leucostomum are not altering their reproductive
investment strategies, as there are minimal costs to prolonging incubation via ED. When
accounting for female size, larger clutches had eggs with greater mass than smaller
clutches. This positive relationship of egg mass and clutch size is atypical of the more
commonly observed trade-off between clutch and egg size (Nager et al 2000). Thus in K.
leucostomum the typical relationship between egg size and clutch size as it pertains to
division of maternal resources per propagule is weakened by the embryos ability to arrest
development during extended incubation periods by expressing ED.
The study of ED and EA in turtles is a complimentary approach to studying the
physiological and morphological aspects of turtle development. Studies on temperature
dependent sex determination in reptiles have focused on specific events (i.e., the
documentation of the critical period in development when sex is differentiated (Ewert,
1985; Ewert and Nelson, 1991)) during development but have not linked entire
ontogenies to environmental parameters. By providing a plausible evolutionary context
for the adaptive significance of ED, I have laid the groundwork for future ecological
studies in over half of all turtles species, which coincidentally are the least studied.
18
Chapter 2
Embryonic Diapause in Turtles: Its Geographic Distribution Defined
Abstract Currently 33 species of turtles are known to prolong incubation by embryonic
diapause (ED). These turtles that express ED commonly lay brittle shelled eggs in
vegetated habitats with loamy soils during periods of both decreasing and increasing day
length (e.g. fall and spring nesters in temperate regions). Additionally, 32 of the 33
species known to express ED are found in two distinct latitudinal bands between 15o-37o
north and south latitude. I used these correlated traits to categorize all turtle species as to
the expression of ED. Three species were categorized as very likely to express ED
(matching all four criteria but lacking detailed embryological studies). Additionally, 63
species were identified as probable expressers of ED (matching one or more of the
criteria for ED expression while matching none of the criteria for non-expression (i.e.,
turtles distributed outside the latitudinal bands that lay pliable shelled eggs in open sandy
habitats during temperate spring and summer)). Seventy-one species, more than a quarter
of all turtle species, were data deficient (i.e., lacking basic life history data for one or
more of the categories). I used categorical data modeling to create probabilities for
predicting the expression of ED based on eggshell type, distribution, and presence of the
trait in sister taxa. I found that 61 turtle species have a 70% probability of ED
expression, and an additional 14 species to have a 66% probability of expressing ED.
Greater than one-half of the species undocumented for the expression of ED have a high
probability of expressing the trait, whereas only 15.3% (21 species) have greater than a
19
96% probability of not expressing ED. Of the top 25 most endangered freshwater turtles
and tortoises one species expresses ED and 10 species have > 66% probability of ED
expression. Integrating species-specific information and developmental studies with
conservation information will be a critical component of any future comprehensive
management plan of endangered and threatened turtles.
Introduction Diapause is a broadly used term for down-regulation of metabolism at various life
stages due to adverse environmental conditions, whereas embryonic diapause (ED) is
specific to arresting development during environmental conditions when embryogenesis
would otherwise normally proceed. ED arrests development before main morphogenesis
(e.g. somite formation) and is induced well before the onset of adverse environmental
conditions. Resumption of active morphogenesis occurs after prolonged exposure to an
eco-physiological stimuli (e.g., cool temperatures, Tauber et al., 1986; and low humidity,
Seymour and Jones, 2000). ED differs from quiescence; an immediate depression of
metabolism brought on by conditions that directly alter the physiological state of the
organism, such as anoxia, desiccation, or extreme hot or cold temperatures (Hand and
Pobrasky, 2000). Quiescence ends when favorable environmental conditions resume.
The preponderance of all turtle developmental studies has been on North
American pond turtles (Emydidae) during summer months, a time and region, where ED
is unlikely to be advantageous (e.g., freezing nest temperatures during the coldest months
of the year). The prevailing data suggest that the mean incubation period for Emydids is
50 - 75 days. Consequently, there has emerged the assumption that incubation periods in
20
turtles that extend beyond two and half months are exceptional. Yet, reported incubation
periods (defined here as the time between oviposition and hatching) range widely. The
Chinese softshell, Pelodiscus sinensis, has the shortest recorded incubation period of 23
days (Kuchling, 1999); while the longest recorded incubation period, of the common
Australian sideneck, Chelodina longicollis is 2.5 years (Cann, 1998).
All but one species of turtle that express ED occur within two broad geographical
bands between 15o-37o north and south latitude (Figure 2.1, Appendix A). In general,
these habitats are seasonally variable and have distinct wet-dry periods where eggs below
the nesting substrate do not freeze. The high latitude limit is probably determined by
what I herein define as the “line of lethality”, often associated with an average annual
minimum surface soil temperature between -9.5 and -12.2 ◦C (Cathey, 1990). When
minimum nest temperatures (i.e., subsurface soil temperatures) surpass the freezing point,
over-wintering survivorship may be greater for fully formed embryos that remain viable
even after ice crystals form in their bodies (Packard and Packard, 2004) rather than as
early staged embryos with a high water content inside the egg that lack super-cooling
abilities. Turtle species known to express ED at the upper latitudinal limits include the
chicken turtle, Deirochelys reticularia in South Carolina (Gibbons and Nelson, 1978;
Ewert, 1991), Kinosternon sonoriense in Arizona (Ewert, 1991; Cameron, 2004),
Acanthochelys pallidipectoris in the Gran Chaco of Northern Argentina (Horne,
unpublished data), and Chelodina expansa in New South Wales, Australia (Booth, 2000;
2002). Year-round conditions suitable for embryonic development characterize the lower
latitude limit of ED expression (see chapter 3). Although there is seasonality near the
21
equator, environmental extremes may not exceed the physiological limits of
embryogenesis. Thus, for species near the equator that nest year round it may not be
necessary to arrest development at any stage. Rhinoclemmys pulcherrima (Horne,
personal observation), Kinosternon scorpioides (Ewert, 1985) in Costa Rica, and
Kinosternon angustipons (Legler, 1966) in western Panama appear to define the lowest
latitudinal limits of ED.
Additionally, most species that have ED have brittle shelled eggs (thicker
eggshells provide greater resistance to desiccation than thinly shelled eggs (see chapter
3), nest in vegetated (e.g., woodland) habitats with loamy soils and nest during periods of
both decreasing and increasing day length (e.g. fall and spring nesters in temperate
regions). Many of these reproductive characteristics are associated with prolonged
incubation periods. On the other hand, species that lack ED proceed through
embryogenesis relatively quickly. They typically have flexible-shelled eggs, nest in open
sandy areas adjacent to water bodies, and nest during periods of increasing day length
(e.g., temperate spring) and the beginning of temperate summer when day length starts to
decrease.
The goal of this study was to identify those species that potentially have ED. I
generated a predictive model to identify species for which ED is likely based on duration
of incubation, species distribution, nesting habitat, the presence ED in sister taxa, and
eggshell type. Understanding ED has important management implications for threatened
and endangered turtles, especially when captive rearing is a conservation strategy and
where correct incubation methodology is vital to hatching success.
22
Methods
I used two methods to summarize the occurrence of ED in turtles. First, I used the
correlated geographic range, eggshell type, nesting habitat and incubation duration
(obtained from published species accounts) with ED expression. Due to the paucity of
reported nesting times for tropical species; this criterion was excluded from the analysis.
My first criterion identified whether part or all of the species geographic range
overlapped the range where ED occurs (15o-37o north and south latitude). Species for
which ED is not known are considered highly probable of expressing ED when they
matched all the characteristic of species known to express ED (geographic overlap, brittle
shelled eggs, long incubation, and nesting in loamy soils in close proximity to their
aquatic habitats when applicable). Possible ED expressers were species that matched one
or more of the criteria while other criteria remained unevaluated. Species labeled as
unlikely to have ED matched one or more of the criteria for not expressing ED. Data
deficient species lacked published accounts of one or more criteria.
The second method I used to categorize ED expression was to generate predicted
probabilities for the occurrence of ED based on the reproductive traits and turtle
phylogeny. All species were categorized three ways: (1) within or outside of the
geographical boundaries for expression of ED (see above), (2) the presence or absence of
brittle-shelled egg, and (3) the occurrence of ED in sister taxa, see Appendix A. I used
the Mesquite© (Version 1.12) to map the number of times ED has evolved within turtles
using maximum likelihood algorithms to determine the minimum number of times ED
evolved within turtles. I determined the occurrence of ED in sister taxa using the
23
hypothesized phylogeny presented by Shaffer et al. (1997) and species level phylogenetic
information from Iverson (1992) and Le (2006). When a species was within a polytomy
(i.e., more than two immediate descendants), the sister group to the polytomy was used to
score for the presence or absence of ED. Although this method is problematic because of
the resolution of the hypothesis, I suggest that it does contribute to information about
phylogenetic distribution of ED. I used categorical modeling (CATMOD; SAS, 1996)
based on an analysis of the weighted least square estimates to create statistical
probabilities on the expression of the ED trait based on the species that either express ED
or not (n = 127). Categorical predictions were compared to each other based on the Chi-
square distribution, and were reported + one standard error. Alpha levels were set at
0.05. I used the results of this analysis to classify species with undetermined ontogenies
with regard to the likelihood of ED expression.
Results
Because there is not a consensus of the species numbers within Geoemydidae
(Van Dijk et al., 2000; Stuart and Parham, 2006), the genus Geochelone (Ernst et al.,
1997), and the genus Trachemys (Ernst and Barbour, 1989; Legler, 1990) I
conservatively estimated that there are 273 historically well-recognized species of turtles.
Of these 273 species, only 33 species are confirmed as ED expressers and 96 species are
definitively known not to express ED, Appendix A. One hundred forty species (>51%)
remain untested, Appendix A.
24
Six of the 12 families of turtles express ED. Among the genera of turtles for
which there is a phylogenetic hypothesis (all 12 families represented), ED has been
derived a minimum of four times (Figure 2.2). However, 71 genera (currently there are
approximately 95 genera of turtles) are missing from this hypothesis. ED has evolved at
least once within the sub-order Pleurodira, with multiple species within the family
Chelidae expressing ED (e.g., Acanthochelys pallidipectoris and Phrynops hilarii).
However, the presence of ED within the only other Pleurodiran family, Pelomedusidae,
remains undetermined. In the Cryptodira, the super-family Trionychoidea, ED occurs in
the families Kinosternidae (Claudius, Kinosternon, Staurotypus, and Sternotherus),
Dermatemydidae, and Trionychidae (Lissemys and Aspideretes). Additionally, ED has
likely evolved multiple times within the family Emydidae (subfamily Emydinae, genus
Deirochelys; subfamily Geoemydinae, genera Cuora, Hardella, Melanochelys,
Pangshura, and Rhinoclemmys). Lastly, within the family Testudinidae ED occurs in
Geochelone and Malacocherus. ED does not occur in the sea turtles (Cheloniidae and
Dermochelyidae), the monotypic pignose softshell turtle (Carettochelydidae), and the
snapping turtles (Chelydridae, genera Chelydra and Macrochelys). ED remains
undetermined in the family Platysternidae (1 species, 5 subspecies).
The geographic distribution of 201 species occurs between 15o-37o north and
south latitude, the two broad geographic bands where the majority of known ED
expressers occur. Of these species, 65 (32%) are known not to express ED. Seven (3%)
probably do not express ED because their incubation periods are less than 90 days; 32
species (16%) express ED, and 1 (0.05%) has a high probability of expressing ED
25
(matching all criteria for expression of ED but no detailed embryological studies have
been conducted). Fifty (25%) are possible expressers of ED (based on matching at least
one of the four criteria for ED expression and not matching any criteria for non-ED
expression, yet there exists no published reports on ED expression for these species), and
42 (21%) cannot be categorized because of insufficient data (Figure 2.3). For the 74
species that did not overlap with the latitudinal bands where ED occurs, 32 species (43%)
are known not to express ED, 7 species (9%) had a high probability of not expressing ED,
and 1 species expresses ED. Two additional species have a high probability of
expressing ED, thirteen species (17%) are possible expressers of ED, and nineteen
species (25%) cannot be evaluated concerning the expression of ED, Figure 2.4.
The categorical modeling determined that the best predictive variables for ED
were, in descending order: 1) having a sister group express ED (χ2 = 67.51, P < 0.0001),
2) having brittle shelled eggs (χ2 = 6.53, P = 0.01), and 3) having some part of the species
distribution between 15o - 37o north and south latitude (χ2 = 0.99, P = 0.32). Somewhat
surprisingly, the geographic distribution of the turtles was not a significant predictor.
This probably relates to the high number of species that do not have ED whose range is
both within as well as beyond the two latitudinal bands. Using the categories, I was able
to determine that sixty-one turtle species have a 70% probability of ED expression, and
an additional 14 species have a 66% probability of expressing ED, Appendix A. Thus,
more than half of the untested species have a high probability of expressing ED, whereas
15.3% (21 species) have a 96% probability of not expressing ED, Appendix B. Of the 25
most endangered freshwater turtles and tortoises (Turtle Conservation Fund, 2003) only
26
Dermatemys mawii (Polisar, 1996) expresses ED and eight species do not express ED.
Of the remaining 16 species, 7 species have a 70% probability and 3 species have a 66%
probability of expressing ED. Yet, only six species have >83% probability of not
expressing ED, Appendix C. Thus, 44% (11 out of 25 species) of the world’s most
endangered turtles have ED or have a high probability of expressing ED, which is
surprisingly similar to the percentage of all freshwater turtles and tortoises that express or
may express ED (43.5 %, 119 out of 273 species).
Discussion
Delayed development remains poorly understood in reptiles, particularly turtles.
Greater than one half of all turtle genera have species that are undocumented for
expression of ED. Thirty genera contain species identified in this study as possibly
expressing ED, whereas the data deficient species are from an additional 26 genera.
Expression of ED varies widely taxonomically, yet when present it is generally expressed
multiple times amongst closely related species. An exception is within the Cryptodiran
subfamily Emydidae, one of the most species rich clades of turtles, where the single
species the chicken turtle, Deirochelys reticularia, expresses ED. In contrast, its sister
subfamily Geoemydidae, ED occurs in at least five genera. Similarly within the sub-
order Pleurodira (the sideneck turtles), the family Chelidae has six species that express
ED, whereas none of the species within the family Pelomedusidae expresses ED. Why
ED occurs in the Chelidae and not in the Pelomedusidae is unclear and the limited life
history studies of sidenecks make comparisons difficult. Both families originated during
27
the Cretaceous, when Gondwanaland was a super-continent (De La Fuente, 2003).
Chelids however are currently restricted to South America and Australia, whereas
Pelomedusids are found in both South America and Africa, but not Australia (Ernst et al,
1994). Chelids are an average sized turtle, whereas some Pelomedusids species are some
of the largest river turtles (e.g., adult female Podocnemis expansa, range 70 to 80 cm in
carapace length and 23 to 26kg; Ernst et al, 1997). It is perhaps this divergence in size
and the associated habitats and reproductive strategies, which underlie the evolutionary
pattern with Pleurodirans.
Even with in Kinosternidae, one of the most well resolved turtle clades, where ED
has been documented, the patterns of ED expression remain unclear, see Figure 2.5.
Cameron (2004) using phylogenetic comparative methods examined the variation of ED
expression within Kinosternidae and found no clear patterns due to “scarcity of
information regarding diapause and other over wintering strategies”. Currently no family
with high species diversity (i.e., greater then ten species) besides the Kinosternidae is
known to express ED as the predominant mode of development, see Figure 2.1.
Furthermore, within North American Kinosternons, a potentially undocumented case of
ED expression exists. Anderson and Horne (2007) documented nesting of the common
mud turtle, Kinosternon subrubrum, in southern Louisiana in February, a region and
period where ED expression may be advantageous because continuous temperatures
suitable for incubation probably do not occur until April. The widespread lack of
information across turtle taxa indicates the need for additional ED studies. Further
identification of species expressing ED and an accurate interpretation of seasonal
28
variation in ED expression and duration, along with phylogenetic analyses will better
elucidate evolutionary patterns of ED within turtles.
The current distribution of species with ED demonstrates that there are certain
geographies that promote ED expression, however distribution alone is not a good
predictor of ED expression. Turtle species distributed between 15o - 37o north and south
latitude are more likely to have ED than species outside the geographic bands. The bands
are not exclusively tropical nor do they cover all of the tropics (the area between 23.5°
N&S where there is less seasonal variation in solar expression as the sun is generally high
above the horizon year round). There is a known (Malacocherus tornieri) and two highly
probable ED expressers (Chelodina parkeria and Orlitia borneensis) that do not occur
between the two bands (15o - 37o north and south latitude). The pancake tortoise, M.
tornieri has ED and is an equatorial species found in the highly seasonal grasslands in
central Kenya and southern Tanzania (Iverson, 1992). This area is conducive to ED
expression, an annual climate cycle with distinct periods for embryogenesis and
subsurface nest temperatures that have no prolonged periods of freezing temperatures;
see Chapter 3). There is a possibility that ED expression by M. tornieri is an ancestral
trait and that its expression is an artifact of an earlier evolution of the trait with the clade,
however this species has one of the most derived morphology of any tortoise (Ireland and
Gans, 1972).
The distribution of two Asian turtles Chelodina parkeri (a newly described
species from southern Papua New Guinea) and Orlitia borneensis (a large Malaysian
river turtle) lay outside the southern 15o - 37o band. Results from artificial incubation at
29
constant temperatures suggest ED occurs in C. parkeri (personal communication, Paul
Van der Schouw). Orlitia borneensis nests in piles of plant debris and has extended
incubation periods (Ernst and Barbour, 1989; Moll and Moll, 2004) but no other detailed
reproductive data is currently available. Both are highly probable of ED expression but
lack published accounts on the incubation duration and/or expression of ED.
It is interesting to note that species distributed near the upper latitudes
(approximately 37°) required longer and cooler temperatures to stimulate halting of ED
expression (Ewert and Wilson, 1996). For example, Buhlmann, (1998) recorded
minimum nest temperatures of 4 ◦C for populations of Deirochelys reticularia, in South
Carolina, USA near the theoretical “line of lethality”. Deirochelys reticularia oviposits
in the fall and express ED through the temperate winter, starting morphogenesis in the
spring (Gibbons and Nelson, 1978; Congdon et al., 1983a, Buhlmann, 1998). Another
example that differs from the tropical pattern is the Sonoran mud turtle, Kinosternon
sonoriense, of southern Arizona, US, which oviposits in the fall and hatchlings emerge in
the rainy season the following year, an incubation period up to nine months (Ernst et al.,
1994). Numerous species known to express ED occur at greater latitudes than the Tropic
of Cancer and Capricorn, thus it is incorrect to generalize ED as a trait specific to the
tropics. Additionally, the longest ED expression occurs at latitudes greater than the
tropics and as species distribution approaches 15°, ED expression becomes shorter or
only occurs seasonally.
30
The Importance of ED in ex-situ Chelonian Conservation Projects
Due to the rapid declines of turtle populations worldwide, particularly in Asia,
there is an increasing need for ex-situ breeding projects (Ades et al., 2000) and many of
the targeted species possibly express ED. For the rare species that express ED, there is
limited knowledge available on how best to incubate the few eggs so that ED is
successfully halted (active resumption of embryogenesis). Failure to provide the correct
environmental stimuli (changes in temperature and substrate moisture) during artificial
incubation may greatly reduce hatching success as embryos may perish after extended
periods in ED (see chapter 3). I have provided a list of the species that have ED
(Appendix A) and those for which the trait is likely to occur, thereby facilitating the basis
for future research that integrates developmental biology with conservation programs of
endangered and threatened turtles.
Identifying the life history traits that are most commonly associated with ED
(brittle shelled eggs, nesting in vegetated habitats with loamy soils during periods of both
decreasing and increasing day length (e.g. fall and spring nesters in temperate regions),
and a 15-37° latitudinal distribution) is an important first step in understanding the
developmental biology of the species in question. Yet determining the presence of the
traits often correlated to ED is not enough to understand the nuances of the
developmental timing nor is it sufficient to determine the expression of ED. Under
laboratory conditions, embryonic aestivation can prolong hatching of the mud turtle,
Kinosternon arizonense (previously the subspecies Kinosternon sonoriense arizonense)
for greater than 230 days (Ewert, 1991). Additionally, Castano-Mora, 1986 reported
31
prolonged incubation periods (e.g. greater than 100 days) in Podocnemis lewyana.
However, P. lewyana extends its incubation by embryonic aestivation. Thus, it is
important to follow the incubation procedures for ED determination as outlined by Ewert
and Wilson (1996), where embryos are challenged to begin morphogenesis during
varying incubation conditions.
To artificially incubate eggs properly once ED expression has been confirmed
investigators need to replicate field nest temperatures and moisture levels during artificial
incubation to the best of their ability. Preferably temperatures and moisture levels can be
recorded via miniature data loggers (e.g. Onset Corporation’s HOBO® Weather Station
S-SMC Soil Moisture Smart Sensor and 12-bit Temperature Smart Sensor), but in their
absence microclimate data recorded close to the species origin such as mean monthly
temperatures and rainfall can be substituted. Fluctuating incubation conditions should
include monthly, weekly, as well as daily variation. Such variation can be accomplished
relatively economically by the use of commercial wine coolers (a thermoelectric cooling
unit), which can maintain temperatures in the low to mid 20’s °C with an additional thermostat
and heating element (e.g., ceramic terrarium heater) to raise temperatures into the 30’s °C. Such
incubators should then be maintained inside an air-conditioned room as the solid state electronics
of the cooler can only lower the temperature inside the device approximately ten degrees below
ambient air temperature.
Within the twenty-five most endangered freshwater turtles and tortoises (Turtle
Conservation Fund, 2003) sixteen species have no detailed developmental studies, ten are
predicted to express ED, and six species are predicted not to express ED. With captive
breeding being a tool to assure the survival of these critically endangered species that
32
have prolonged incubation, it would aid biologists to better understand the role of ED in
the developmental biology of such species. It is crucial to integrate this knowledge into
comprehensive management plans with the goals of increasing hatching success and
reducing any long-term effects of these manipulations. Seigel and Dodd (2000) draw
attention to conservation projects that alter incubation conditions of eggs due to
unforeseen population viability implications these manipulations may have on unknown
life history features. Previous conservation projects that did not account for the
developmental biology of turtles may not have accomplished their goal, for example the
sea turtle hatcheries that incubated eggs at constant cool temperatures producing all male
hatchlings (Frazer, 1992) because temperature-dependent sex determination was
unknown (Mrosovsky and Yntema, 1980; Mrosovsky, 1982). We do not have the luxury
of time and must avoid replicating these same mistakes. It is preferable to semi-naturally
incubate eggs (e.g., maintaining eggs at the nest site with anti-predator protection) of
endangered species within their natural range with minimal manipulations, but when
conservation methods must rely on ex-situ breeding and/or incubation all efforts should
be put forth to replicate the natural daily and seasonal cycles of nest conditions.
33
Chapter 3
Strategies for Seasonal Synchronization of Morphogenesis and Increasing Embryonic
Survivorship: Modeling Developmental Timing in a Neotropical Turtle
Abstract
Embryonic diapause (ED) and embryonic aestivation (EA) are putative
mechanisms to increase survivorship during prolonged development. Both synchronize
morphogenesis and hatchling emergence with appropriate yet unpredictable
environmental conditions. I tested two hypotheses and their predictions with regard to
the environmental conditions that stimulate ED and EA based on an annual climatic
pattern characteristic of a tropical biome at 18° north that has distinct warm dry seasons
and cool rainy seasons. My first hypothesis has a single suitable developmental period
(SDT; periods when soil moisture and temperature in the nesting substrate are within the
physiological tolerances of developing embryos) during the dry seasons whereas; my
second hypothesis predicted two SDTs at the transition from the rainy and dry seasons.
Field and laboratory incubation experiments tested the model using embryos of the white-
lipped mud turtle, Kinosternon leucostomum. Field incubation times varied from 99 to
209 days, depending primarily on the time embryos diapaused. Evidence suggested that
cool temperatures influence the onset and duration of ED. The laboratory experiment
confirmed that ED is facultative and that temperature is an important regulatory factor in
determining the duration of both ED and morphogenesis in K. leucostomum. Of the three
developmental events (ED, morphogenesis, and EA), mortality was greatest during ED. I
34
supported the hypothesis that there is a single SDT restricting morphogenesis to the dry
season. Embryonic diapause is a mechanism by which female can increase the length of
the reproductive season and thus their reproductive output because the embryos remain
dormant until environmental conditions suitable to morphogenesis occur.
Introduction
Organisms inhabiting unpredictable, seasonally variable habitats encounter the
challenge of synchronizing reproduction with suitable environmental conditions (Baker,
1938; Stearns, 1992). Many organisms require precipitation as a proximate ecological
factor in order to reproduce. However, the unpredictability of the timing and amount of
precipitation means conditions favoring growth may come early, late, intermittently, or
not at all within the year (Davidowitz, 2002). Stearns (1976) introduced “bet-hedging”
reproductive strategies as mechanisms to increase lifetime reproductive success despite
low offspring survival probability after each reproductive episode (Menu et al., 2000).
One strategy is to lengthen the adult life span thereby compensating for unpredictable
environmental variation by spreading reproduction over numerous events (Stearns and
Crandall, 1981). Another strategy is to delay the start of life (i.e., a reframe from
propagules hatching, a form of “germ-banking” (Evans and Dennehy, 2005)) until
environmental conditions are favorable (Stearns, 1992). The latter strategies most often
are associated with plants where seeds remain dormant until suitable environmental
conditions occur, e.g., desert annuals. However, the energy limitations of many animals
cannot maintain viable embryos through several seasonal cycles that are common to
35
plants; therefore, animal development should occur during annual favorable
environmental conditions.
Diapause occurs across a wide range of animal taxa and is a physiological
mechanism to minimize energetic costs during challenging environmental conditions.
Insects reduce metabolism during harsh environmental conditions by diapausing in the
egg, larvae, or adult stages (Tauber et al, 1986; Denlinger 1985, 1998). Embryonic
diapause in annual killifish ensures population survival in ephemeral aquatic habitats
(Hand and Pobrasky, 2000). Other examples of species with early developmental
diapause include brine shrimp (Hand, 2000), copepods (Hairston and Munns, 1984),
freshwater snails (Elmslie, 2001), silk moths (Fuduka, 1952; Hasegawa, 1952), field
crickets (Menu et al, 2000), killifish (Wourms, 1972), marsupials (Delaney, 1997), turtles
(Ewert, 1985), chameleons (Blanc, 1974; Ewert, 1991), and possibly one species of snake
(Nadzhafou and Iskenderov, 1994).
A key characteristic of embryonic diapause (ED) in oviparous organisms is that
embryos survive periods when reproduction is separated from the emergence of the next
life cycle stage by sub-optimal or lethal environmental conditions (Wourms, 1972). ED
and embryonic aestivation (EA) are mechanisms by which animal embryos can survive
environmental conditions that are unsuitable for development. ED halts development
before somitogenesis and resumes morphogenesis after prolonged exposure to an
environmental cue (e.g., cool temperatures, Tauber et al., 1986). ED is not a form of
quiescence; rather, it maintains developmental arrest during environmental conditions
when embryogenesis normally could proceed (Ewert, 1991; Andrews and Donoghue,
36
2004). Quiescence is an immediate physiological response initiated by conditions that
alter metabolic states such as anoxia, desiccation, or extreme temperature changes (Hand
and Pobrasky, 2000) and that ends when favorable environmental conditions resume.
Embryonic aestivation prolongs incubation by depressing the metabolism of the embryo
after completion of morphogenesis (Ewert, 1991), and is a form of quiescence.
Turtles are the only amniote with a cleidoic egg (i.e., enclosed in a calcareous
shell that limits embryonic interaction with the environment) that express ED. Their
embryos are fully provisioned at oviposition with generally no post-ovipositional parental
care. Most temperate turtles initiate morphogenesis 24 to 48 hours after oviposition, yet
many sub-tropical and tropical species can arrest development for up to ten months in
laboratory-controlled incubation environments (Ewert, 1985). Environmental conditions
that initiate and break diapause and aestivation and their effects on embryo fitness are not
well understood in turtles. Furthermore, there are no field studies of EA and the single
field study of ED in turtles tested only for the presence or absence of the trait (Ewert and
Wilson, 1996). Even within a clutch, ED can range from zero to over 300 days (Ewert,
1991). Herein, I present two graphical hypotheses that identify developmental
trajectories and the environmental correlates along with lab and field based experiments
to understand ecological significance of ED and EA in the white-lipped mud turtle,
Kinosternon leucostomum.
37
The Hypotheses
Some tropical turtles live in environments that allow extended reproductive cycles
in which oviposition could occur during any month of the year. Although some nesting
seasonality is evident, some species can oviposit up to 10 months of the year, spanning a
wide range of environmental conditions that may differ substantially with regard to their
suitability for embryonic development. Due to the wide range of environmental
conditions encountered by embryos, different developmental strategies incorporating ED
and EA may increase embryonic survivorship. For example, many species of tropical
turtles that oviposit during the rainy season arrest development until the dry season with
hatchlings emerging at the end of the dry season or at the onset of the following rainy
season (Moll and Moll, 2004). During the rainy season, cool temperatures and saturated
soils are likely to promote ED because of restricted gas exchange and reduced
development rate. However, in some tropical regions the peak of the dry season may
become unsuitable for development because temperatures are too hot or water becomes a
limiting resource. Additionally, during the dry season, ephemeral wetlands dry out and
emerging hatchlings risk desiccation and low resource abundance. I present two
hypotheses that identify how neotropical turtles use embryonic diapause and aestivation
to avoid developing during environmental conditions that may adversely affect neonate
survivorship or energetics. The models are based on the assumption that precipitation
increases soil water content, decreases soil and atmospheric temperature, and solar
radiation correlate positively to soil temperature and negatively to soil moisture.
38
My first hypothesis, based on the observation by Moll and Legler (1971),
suggested that conditions suitable for morphogenesis occur during the dry season and
results in three developmental trajectories. First, eggs deposited during the rainy season
diapause until the dry season and then commence morphogenesis. After the completion
of morphogenesis, neonates can either emerge, or aestivate until suitable conditions for
emergence arrive. Second, eggs laid during the dry season directly enter morphogenesis
and emerge upon its completion or delay emergence via aestivation. Finally, eggs laid
during the transition from rainy to dry season facultatively enter diapause depending on
the environmental conditions at the time of oviposition. Those embryos entering
diapause at this time would diapause for shorter periods than eggs laid during the rainy
season.
My second hypothesis is based on the seasonal variation in the timing and
duration of the rainy season(s) in the tropics as outlined by Savage (2002; Figure 3.1).
Interpreting these weather patterns I predicted two times of the year when changing soil
moisture and temperature create biophysical conditions that may be suitable for
development; during the transition from the rainy to dry season and vice versa (Figure
3.2). This pattern of seasonal wet-dry cycles (e.g., warm dry season and cool, wet rainy
season) is characteristic of a tropical biome at 18° north latitude (Figure 3.1). I assumed
that suitable conditions must persist for 75 days, the approximate time required by an
embryo to complete morphogenesis. Based on the criteria of a minimum 75-day
developmental period (Horne, personal observation), two suitable development times
(SDT) are separated by two periods, one too cold and wet for development and the other
39
too hot and dry for development (Figure 3.1 and 3.2). Furthermore, hatching and
emergence should coincide with environmental cues that reflect the availability of aquatic
habitats and high resource abundance but that also may occur at the conclusion of
morphogenesis. Based on the time of oviposition and the biophysical constraints (e.g.,
soil temperature and moisture) that affect development, I hypothesized six different
developmental trajectories that predict the timing of ED, morphogenesis, EA, and
emergence (see Figure 3.2).
In both hypotheses, flexibility is provided after morphogenesis by aestivation,
which would allow the synchronization of emergence when resources are abundant.
Embryos that aestivate through the dry season and emerge at the beginning of the rainy
season when ephemeral aquatic habitats refill should encounter increased food
availability (e.g., aquatic insects and amphibian larvae). However, embryos that delay
emergence until the onset of the rainy season likely incur a greater energetic cost relative
to individuals that emerge at the conclusion morphogenesis. Hatchlings emerging at the
conclusion of morphogenesis must survive until the rainy season when resources become
abundant. These hatchlings may use their energy reserves to initiate growth that results
in larger body size relative to individuals that aestivate. Other factors that potentially
influence when emergence occurs includes water balance and predation risk.
Methods I investigated the facultative developmental timing in the white-lipped mud turtle
(Kinosternon leucostomum) an inhabitant of permanent and ephemeral aquatic habitats
(Berry and Iverson, 2001). Kinosternon leucostomum has facultative ED (Ewert, 1991)
40
and facultative EA with incubation periods from 75 to over 300 days (this study and R. C.
Vogt, personal communication). In addition, K. leucostomum lays multiple small
clutches (1 - 6 eggs; Moll and Legler, 1971; Berry and Iverson, 2001; this study) during a
ten month nesting season (Vogt, 1990) from late August (early rainy season) to late May
(dry season).
Field research was conducted at multiple sites within the Los Tuxtlas region of
southern Veracruz, Mexico. The primary study site was Laguna Zacatal, an ephemeral
crater lake on the property of the United Autonomous University of Mexico field station,
Estación de Biología Los Tuxtlas [see Morales-Verdeja and Vogt (1997) for further
details]. Additional field sites included the wetlands in the Rio Papaloapan drainage near
the town of Lerdo de Tejada, and wetlands adjacent to the town of La Margarita on the
northern shore of Laguna Catemaco. Gravid female K. leucostomum were captured using
fyke-nets and baited funnel traps. All gravid females were processed at field camps,
where I injected oxytocin into the inguinal region (0.3cc per kilo) to induce oviposition
(Ewert and Legler, 1978). Eggs were collected for two experiments, one in 2001, and
another in 2003.
Environmental Parameters
Several data sources were used to evaluate how the environmental conditions in
the Los Tuxtlas region matched the two hypotheses. First, the 25-year average daily
temperature and rainfall data collected at the Estación de Biología Los Tuxtlas were used
to identify the beginning and end of the rainy season as well as potential SDTs. Second,
41
from December 2000 to November 2001, five temperature loggers (Onset Tidbits®) were
placed in the substrate in a known nesting area to record soil temperatures (subsurface
(2.0 cm) soil temperatures recorded every 15 minutes). Average soil temperature was
converted at one-week intervals into consecutive 75-day periods, then into constant
temperature equivalents (Georges et al., 1994, Georges et al., 2005) to identify suitable
development times. During 2003, soil moisture probes were placed at the same nesting
area. Unfortunately, the probes were stolen before the data was recovered. Therefore,
the data obtained in Experiment 2 (see below) was used to evaluate seasonal variation in
soil moisture.
Experiment 1
In 2001, a laboratory experiment was conducted to evaluate the relationship
between incubation temperatures, ED, and morphogenesis. One hundred ninety one eggs
were collected from 13 October through 12 December 2001. Eggs were assigned
randomly to treatments; however, because of the small clutch size of K. leucostomum,
clutch was not replicated within treatment. The eggs were incubated in vermiculite in
groups of ten (five per container) at 17°C, 21°C, 25°C, and 29°C. Furthermore, each
temperature treatment had four hydric conditions of approximately 0.0 mPa, -0.15 mPa,
-0.40 mPa, and -0.75 mPa manipulated by water to vermiculite mass ratio (see Filoramo
and Janzen (2002) for details on the ratio of vermiculite and water and to the
corresponding soil water potential). Experimental conditions “challenged” embryos to
develop (Ewert and Wilson, 1996). On 1 December 2001, challenged embryos were
42
“switched” to a standardized hydric environment of -0.15 mPa and randomly split
between two incubation temperatures 27°C and 31°C. Two control “unchallenged”
groups of 30 eggs each were maintained at -0.150 mPa and incubated at either 27°C or
31°C during their entire development. Because eggs could not be gathered over a short
time period, exposures to challenge conditions were 30 and 60 days; eggs collected early
in the nesting season had longer exposure to challenge conditions than those collected
later in the season. Eggs were monitored bi-weekly to check soil moisture,
developmental progress, and survival. During evaluation, eggs were candled with a
fiber-optic light and developmental stage was recorded using digital photography.
Hatchling survival, time in ED, morphogenesis, and EA as well as total developmental
time were recorded.
Experiment 2
During 2003, I performed a field experiment to evaluate the developmental
trajectories used by K. leucostomum. To control for microhabitat variation, a raised
wooden box (2m X 0.8m X 0.3m) was constructed and filled with a soil profile
resembling natural nesting habitat, a thin (5 - 10 cm) organic layer atop sandy soil
comprised of loose volcanic material. Drain holes in the bottom of the box prevented
pooling of excess rainwater. Elevating the box and placing its legs in plastic buckets
partially filled with mineral oil provided protection from ants and vertebrates. In
addition, a securely fastened screen lid prevented both predation from vertebrates and
escape of hatchlings. The box was placed in a fenced area near the Estación de Biología
43
Los Tuxtlas to accurately mimic natural fluctuations in temperature and soil moisture
caused by local macroclimates.
Environmental data from the experimental setup was collected to test the general
fit of the model to the soil moisture and temperature regimes of the region from 12
December 2002 to 23 November 2003. Six ECH2O dielectric aquameter probes
(Decagon Devices, Inc.) and six thermistor probes attached to two Em5 datalogger
(Decagon Devices, Inc.), recorded soil moisture and temperature every fifteen minutes.
Moisture probes were paired with thermistor probes and placed equidistant from other
pairs within the nest box. Depth of sensors resembled the depth of natural nests (1.0 -
2.0cm below the surface; Horne, personal observation). Data collected by the moisture
probes were converted from millivolts to mPa by using the soil moisture release curve (y
= (0.0011*(percentage soil moisture)) -4.6821; Campbell, 1985), which previously had been
created on a dew point meter (Decagon Devices, Inc.). Field data were compared to
temperature data collected in experiment 2 to verify that the experimental setup did not
alter natural variation in temperature profiles.
From 12 December to 24 April 2003, 143 K. leucostomum eggs were collected.
All eggs were placed within the box less than 12 hours after oviposition. To aid in
accurate determination of hatching and emergence times, eggs were placed in individual
plastic screen cylinders (10 cm in diameter by 30 cm long). Each cylinder contained 25
cm of soil (previously collected from a known nesting site). Furthermore, eggs were
buried to 2/3 of their shell height, leaving 1/3 exposed, resembling natural nests (Horne,
personal observation). In order to simulate light and humidity levels in closed canopy
44
rainforest, I placed woven plastic sheeting loosely but directly over the cylinders and
suspended by a heavy shade cloth over the nest box; both allowed rainwater to reach the
soil substrate. Daily I visually monitored eggs for mortality, hatching, and emergence.
As in experiment 1, I candled embryos with a fiber-optic light biweekly and the
developmental stage was recorded using digital photography. Hatching time was defined
as the date when a neonate was entirely out of the eggshell because tropical
Kinosternidae can spend extended periods within the eggshell after pipping (Vogt,
personal communication). A neonate leaving the nest defined the date of emergence.
Data Processing and Statistical Analysis
The duration of developmental events was reported in days, mean values per
group were reported ± one SE. Individual averages within clutch minimized clutch
effects. F-tests detected differences in hatching success among groups based on the
timing of oviposition (16 Dec, 19 Jan, 29 Jan, 5 Feb, 13 Mar, 16 Mar, and 24 Apr 2003).
Linear regression analyses tested for seasonal changes in the timing and duration of
developmental events; and, a Kruskal-Wallace one-sample test using a Chi-square
distribution tested the relationship between rainfall events and hatching. A general linear
model MANOVA analyzed for differences in seasonal expression of developmental
traits. Survivorship between stages and the control groups in experiment 1 were tested
using Yates corrected Chi-square analysis. To assure data analysis accuracy, all
statistical tests (excluding the survivorship analyses) were completed using both SAS
(1996) and SYSTAT (Version 10) with identical results. PROC PHREG in SAS was
45
used to calculate both survivorship curves and the hazard functions for ED and
morphogenesis. Constant temperature equivalent calculations (CTE, sensu Georges et al.
1994; 2005) were estimated using a program written in C+. I log10 transformed data to
meet the assumptions of parametric statistical tests; an α level of >0.05 was set for
significance.
Results
The environmental data and findings of the two experiments suggest that the
morphogenesis phase of development in K. leucostomum occurs during the dry season
consistent with the first hypothesis, see Figure 3.4. Although, I observed some of the
developmental trajectories predicted in both hypotheses, the environmental data clearly
illustrate that temperatures are too cold during the rainy season for development to
proceed and the primary factor contributing to active development are the increasing nest
temperatures at the start of the dry season, see Figure 3.4.
Experiment 1
Embryos from eggs collected in October were physiologically capable of
beginning development immediately after oviposition. After incubating 59 days, 17.5%
of embryos (n = 7; 1 at 21ºC, 2 at 25ºC, and 4 at 29ºC) oviposited on 13 Oct 2001 were in
morphogenesis. The remaining embryos (82.5%, n = 33) were in ED. All embryos (n =
56) oviposited on 8 Nov 2001 were still in ED after 34 days of incubation. Furthermore,
46
all embryos at 17°C arrested development until released from their challenge condition,
indicating that the minimal developmental temperature for K. leucostomum is >17°C.
For challenged embryos, temperature was a more important determinant of the
length of the incubation period than soil moisture. Exposure to cooler temperatures
before morphogenesis decreased developmental time (ANOVA, F3, 26 = 5.47, P = 0.01;
data among hydric treatments and exposure times to challenge conditions were pooled
within temperature treatment): 17°C ( x = 91.6, ± 2.8, n = 13), 21°C ( x = 113.2, ± 5.4 n =
10), 25°C ( x = 122, ± 65, n = 2), and 29°C ( x = 132.8, ± 18.3, n = 4). Incubation time
was not affected by soil moisture level (0.00 mPa ( x = 91.1± 6.9, n = 9), -0.150 mPa
( x = 113.5 ± 11.4, n = 8), -0.40 mPa ( x = 108 ± 7.6, n = 8), and -0.750 mPa ( x = 100 ±
5.8, n = 13); (ANOVA, F3,37 = 1.44, P = 0.24 data among temperatures and exposure time
to challenge conditions were pooled within hydric treatment)). The control groups had
similar incubation periods: 27°C ( x = 112.6, ± 12.6, n = 13) and 31°C ( x = 111.0 ± 27, n
= 4); Mann Whitney U-test, U = 0.51, df = 1, P = 0.61. Additionally, pooled control and
individual experimental groups did not differ (ANOVA, F4, 42 = 1.24, P = 0.31).
Overall, survivorship of experimentally challenged hatchlings was low 27.6%
(39/141). Prior to the switch, survivorship of challenged embryos was high 82.2 %
(116/141), but survivorship decreased after the switch 33.6 % (39/116) resulting a in a
difference between pre- and post-switch survival; χ2 = 60.91, df = 1, P < 0.0001). There
was no difference in hatching success between the two post-switch temperatures (χ2 =
0.62, df = 1, P = 0.43). At 31°C post-switch, 17/58 (29.3%) embryos hatched, and 22/58
(37.9 %) hatched at the 27°C. In both temperature treatments, one third of post-switch
47
embryos died during morphogenesis and an additional third died at six months during
EA. The late-term mortality suggested that an environmental stimulus for
hatching/emerging was absent in this laboratory experiment. Control embryos (n = 60)
had an overall hatching success rate of 21.6% (13/60). Similar to the control embryos,
the post-switch hatching success of challenged embryos did not differ between
temperature treatments, five (16.6%) hatched at 31◦C and eight (29.6%) hatched at 27◦C
(χ2 = 0.35, df = 1, P = 0.56). Additionally, hatching success did not differ between the
pooled control group and the pooled challenged embryos (χ2 = 2.17, df = 1, P = 0.14).
Experiment 2
Ambient air temperatures, 25-year annual rainfall data and the soil temperatures
collected in the field experiment matched the environmental conditions predicted in the
first hypothesis. Soil temperatures were lower than expected during the time predicted to
be the suitable developmental periods by the second hypothesis and thus morphogenesis
appears constrained to the dry season when warmer temperatures occur. As a result, only
a single SDT occurred from early March to late August corresponding to the dry season.
Mean daily soil temperatures ranged from a low of 16.2°C on 20 January 2003 to a high
of 26.1°C on 31 August 2003 with a mean of 22.5°C and a mean daily variance of 0.18ºC
Figure 3.3. Soil moisture decreased on 8 to 11 February 2003 (maximum of -20.6 – mPa
on 10 Feb) when a southerly weather system brought high dry winds marking the end of
the raining season. From 2 March to 5 April 2003, soil moisture decreased again and
reached its lowest level (maximum -32.6 mPa on the 26 March, Figure 3.4). By 9 March
48
2003, 95% of embryos (40 out of 42, oviposited from 16 December 2002 to 5 February
2003) synchronously initiated morphogenesis when soil temperatures increased to
20.5°C. Two remaining embryos extended diapause and initiated morphogenesis in late
May/June. Embryos oviposited from 3 Mar to 16 Mar 2003 (after the start of the dry
season) diapaused facultatively and broke ED asynchronously, ranging from 4 Mar to 29
Apr 2003. In addition, 17 individuals entered into EA and only nine aestivated for more
than 15 days.
Total incubation period (oviposition to emergence, x = 135.5 + 25.7 days)
2 decreased seasonally (r = 0.54, F1,76 = 87.77, P < 0.001), with incubation periods ranging
from 209 days (oviposited in Dec) to 99 days (oviposited in April). The mean number of
days spent in ED among all groups was 37.7 + 21.5 days (ranging from 2 – 120 days).
2 Length of ED was negatively related to date of oviposition (r = 0.44, F1,76 = 57.92, P <
0.001), ranging from a mean of 97.6 + 19.6 days in Dec to 11.0 + 0.0 in April. However,
there was no relationship between number of days in morphogenesis and date of
2 oviposition (r = 0.04, F1,76 = 3.38, P = 0.17). The mean number of days spent in
morphogenesis was 94.2 + 13.1 (ranging from 57 to 139 days; Figure 3.5). There was no
relationship between timing of oviposition and length of time spent aestivating (r2 = 0.01,
F1,17 = 0.21, P = 0.65). The mean number of days spent aestivating was 16.5 + 11.5
(ranging from 2 to 36 days). No embryos that proceeded directly into morphogenesis
after ovipositing aestivated. In addition, embryos that aestivated (n = 17) did not differ
from non-aestivating embryos with respect to time spent in morphogenesis (ANOVA,
F1,76 = 1.75, P = 0.19). Time spent in ED had no effect on time spent in aestivation,
49
greater than 15 days, (ANOVA, F9,62 = 0.50, P = 0.13; 8 cases were excluded due to EA
periods less than 15 days).
Constant Temperature Equivalents
I created seven classes based on the time of year when I collected eggs. Constant
temperature equivalents (CTE) were calculated for the mean duration that embryos spent
in both ED and morphogenesis (Table 3.1). Over the duration of incubation experiment,
CTE values increased by 2.2°C degrees (range 20.5°C during the 16 December 2002 - 24
March 2003 period to 22.7°C during the 24 April – 5 May 2003 period; Table 3.1). CTE
2 values for time spent in ED increased seasonally (r = 0.95, F1,5 = 93.26, P < 0.001). CTE
2 for time spent in morphogenesis did not change (r = 0.55, F1,5 = 6.209, P = 0.06) but
ranged from 23.0°C during 9 March – 9 June to 24.3°C during 5 May – 2 August 2003.
The mean CTE for ED was 21.3 + 0.7°C and the mean CTE for morphogenesis was 23.5
+ 0.4°C.
Survivorship
Overall, hatching success was low, 77/143 (53.8%) embryos hatched, but higher
than experiment 1. Survivorship differed among developmental events (ED,
morphogenesis, or EA) and throughout the year (Figure 3.6). Survivorship was higher
during morphogenesis (77/88, 88%) than ED (88/143, 62%; χ2 = 30.61, df = 1, P <
0.0001). However, embryos in ED survived the coldest periods during the study.
Mortality of diapausing embryos was highest during peak periods of low soil moisture.
50
Embryos oviposited on 29 January and 5 February 2003 had the highest survivorship to
hatching (86% (12/14) and 90% (9/10) accordingly). Embryos that died during
morphogenesis spent longer time in ED than those that survived morphogenesis
(ANOVA, F1,97 = 0.52, P < 0.05). Only 18 of the 77 (23.3%) embryos that survived
morphogenesis entered into EA. All aestivating individuals survived.
Diapausing embryos died in all months except December and January (Table 3.2)
2 and mortality rates during ED increased as the season progressed (r = 0.76, F1,5 = 19.17,
P = 0.005). Peaks occurred in April (43.5%), June (62.5%), and July (100%) suggesting
that the cue to break ED was missed and therefore morphogenesis never commenced.
Deaths during morphogenesis occurred from April through August were never greater
than 5%.
In several cases, there were environmental conditions at oviposition that
corresponded with peaks in mortality. Embryos oviposited on the 16 March (N = 35) had
the highest post ED mortality rate (57%) were laid during 48hr period with the lowest
mean soil water potential (-15.8 mPa, range -4.3 to -24.5 mPa; Figure 3.4). Mortality
rates of embryos oviposited before or during the lowest observed temperatures (16.2°C
for 2.0 hrs during 19 January, Figure 3.3) were moderate, 50% for the 16 December
group (N = 6) and 37% (N = 27) for the 19 January group. Embryos from 29 January, 5
February, and 3 March 2003 had the highest ED survivorship (86%, 90%, and 76%
respectively). Embryos from these groups were exposed to low temperatures (17°C) for
only 2.25 hours. These findings suggest that embryos are sensitive to environmental
fluctuations shortly after oviposition.
51
If an embryo survived ED, it had a greater than 80% chance of hatching within
150 days of beginning morphogenesis (Figure 3.7, x = 110 days in morphogenesis).
However, survivorship to hatching decreased to 50% if an embryo spent more than 180
days in morphogenesis. Furthermore, ED had a higher hazard function (or force of
mortality, which is the likelihood that an individual will die during the defined period)
occurring near 40 days of incubation followed by morphogenesis (χ2 = 71.26, df = 1, P <
0.001; Figure 3.8). Whereas the highest hazard function of morphogenesis was at
approximately 110 days, slightly longer than the experimental mean for time spent in
morphogenesis.
Timing of Hatching and Emergence
Hatchlings emerged and were active between 30 May and 5 Sept 2003 after the
onset of the rainy season. The first eight hatchlings were found at the onset of the rainy
season (27 May 2003) when soil water potential increased from -0.30 mPa to -0.18 mPa.
The remaining 69 hatchlings emerged in the first 43 days of the rainy season from 6 June
and 19 July 2003 (Figure 3.9) when soil water potential > -0.18 mPa and before the
heaviest rainfall in early October (>275 mm of daily rainfall). Most embryos hatched
within 48 hours of rainfall ( x = 38.7 hrs + 6.6, range 0 - 144 hrs; χ2 = 16.83, df = 1, p <
0.001, N = 77; Figure 3.9). Fifty embryos hatched within 24 hrs of rainfall. Beyond the
24 hr period, hatching occurred at a mean of 104.7 + 6 hrs (ranging 25 – 144 hrs).
Turtles that aestivated hatched during the beginning of the rainy season over a 23-day
period from 13 June- 6 July 2003, 65 days before the last non-aestivating turtle hatched.
52
There was no differentiation between time of hatching and time of emergence in this
study. Embryos that aestivated did not differ in hatching and emergence behavior than
those that did not aestivate. An embryo in EA is distinguished during candling by small
pad of shrunken chorioallantois adjacent to the embryo (Ewert, 1985).
Discussion
The biophysical field data and the experimental results indicate that K.
leucostomum is a turtle with facultative development with morphogenesis occurring
during the dry season and emergence corresponding to the onset of the rainy season,
Figure 3.10. This conclusion supports our first hypothesis suggested by Moll and Moll
(2004) that morphogenesis is restricted to the dry season. We have illustrated that our
second hypothesis does not hold for K. leucostomum for the Los Tuxtlas region of
Mexico. However, the second hypothesis may apply to tropical and subtropical regions
where there are two distinct wet and dry seasons (Figure 3.1). Based on the findings of
my study, application of the second hypothesis to regions with semiannual wet and dry
seasons would require that morphogenesis occur during the dry season instead of the
transition for wet to dry season as suggested originally. An example is the African
leopard tortoise, Geochelone paradalis (Cairncross and Greig, 1977), an inhabitant of
highly seasonal grasslands. The reproductive strategy of G. paradalis includes prolonged
incubation periods and asynchronous hatching events (Boycott and Bourquin, 2000), in
an area of highly unpredictable seasonal rainfall. However, neither hypothesis can
53
explain why some species of turtles incubate for more than a year (e.g., Chelodina
expansa, > 600 days (Cann, 1998)).
All eggs included in both experiments were viable at the beginning of the
experiment as documented by the presence of the white patch on the eggshell surface
(Thompson, 1985). Thus, mortality, particularly during ED, was not related to egg
fertility or embryonic death before oviposition. Yet, overall hatching success in both
experiments was low (53.8%) compared to direct developing species (e.g., 80% for
Graptemys flavimaculata (Horne et al., 2003), 95.2% for Emydoidea blandingii (Gutzke
et al., 1987), and 89-92% Malaclemys terrapin (Burger, 1977)). Embryonic survivorship
during EA in experiment 2 was 100%. This was much higher than experiment 1 (65%
survivorship during EA, N = 47), where soil moisture remained constant at -0.15 mPa
and soil temperature was constant at either 27°C or 31◦C. Experiment 1 lacked the
environmental conditions that simulate the beginning of the rainy season thus possibly
the cue to end EA. Doody et al. (2001) reported that the aestivating pignosed softshell
(Carretochelys insculpta) embryos hatch shortly after the first rains of the wet season;
and embryos of the chicken turtle (Deirochelys reticularia) may die from dehydration
awaiting a precipitation cue to indicate the end of the dry season (Gibbons and Nelson,
1978).
Interestingly, reptile embryos that do not arrest development have longer
incubation times when incubated at lower temperatures (Deeming and Ferguson, 1991).
Cooler challenge temperatures during ED reduced the overall incubation period in K.
leucostomum. Perhaps this increases survival of embryos oviposited before or during the
54
coldest parts of the year by providing longer neonate foraging time between emergence
and their first post-embryonic quiescent period (i.e., induced reduction in metabolism due
to ambient temperature below the minimal temperatures required for activity).
My study also suggests that diapause and the initiation of morphogenesis are
initiated by environmental factors encountered by the egg after oviposition. Cool
temperatures seem to initiate and maintain diapause and increasing temperature combined
with drying break diapause and initiate morphogenesis. Most embryos in our study broke
diapause when soil temperatures rose above 20◦C in March. Additionally, both hatching
and emergence correspond with rainfall at the termination of the dry season.
The variation in embryonic response to environmental cues for breaking
developmental arrest appears seasonal. Embryos oviposited in December spend on
average 98 days at a CTE of 20.5°C compared to only an average of 12 days at a CTE of
22.7°C for embryos oviposited in April: a difference of 86 days and 2.3 CTE degrees.
Ewert and Wilson (1996) suggested that a chilling period of 25 days at 22.5°C degrees is
necessary to break ED in the Giant Mexican mud turtle, Staurotypus salvinii, during
artificial incubation. This species is sympatric with K. leucostomum in Chiapas, Mexico
but not in the Los Tuxtlas region. The shorter minimal time of 12 CTE days to break ED
perhaps is related to the fluctuating temperatures the embryos experienced in this
experiment. Embryonic metabolic rates are different between fluctuating temperatures
and constant temperatures (Birchard, 2004). Many of the embryos used in Ewert (1985
and 1991) and Ewert and Wilson (1996; excluding embryos from Kinosternon baurii)
came from captive females generally maintained under a constant temperature regime
55
and a 12-hour light cycle. Furthermore, the seasonal differences in average time spent in
ED observed could be related to hormonal differences between clutches that could be
induced by changing light cycles experienced by the female prior to oviposition.
The SDT of 150 days ranging from late February to late June, exceeds the mean
observed time for morphogenesis by 58 days, yet spans variability from the beginning to
completion of morphogenesis (i.e., 57 to 139 days). The SDT included periods with very
low soil moisture, yet embryos survived these conditions. This perhaps is due to the
brittle shelled eggs of K. leucostomum (Morales-Verdeja and Vogt, 1997) being
desiccation-resistant (reviewed in Packard, 1999). However, in experiment 2 embryos
oviposited in March had the highest monthly mortality rate when the surface soil water
potential was below the permanent wilting point (-150 mPa) for most herbaceous plants
(Braudeau et al, 2005). This suggests that there may be a period of increased
vulnerability to desiccation immediately after oviposition and that the formation of
membranes during early development contribute to water movement and desiccation
resistance. The ability of an embryo to resist desiccation is a function of water reserves
within the albumen (reviewed in Packard 1991 and 1999; Packard et al., 1981), the
surface-to-volume ratio of the egg (Iverson and Ewert, 1991), and the rate of diffusion
across the eggshell (Ewert, 1979, 1985, 1991; Ackerman, 1991). Packard et al. (1982),
Thompson (1987), Packard and Packard (1988), Packard (1991; 1999), and Booth (2002)
have reported on the desiccation resistance of brittle shelled eggs (see Gutzke et al, 1987
for an example of how hydric conditions affect pliable eggs) but they did not expose
56
embryos to the low soil moisture potentials observed in this study. The levels observed
in this study were 44 times greater than the upper limits in Booth’s (2002) experiments.
Prolonged incubation increases the likelihood of eggs desiccating in dry
substrates. Pliable shelled eggs can uptake additional water during the course of
incubation but the trade-off is that they more readily lose water, whereas brittle shelled
eggs must rely on maternally provided water during incubation. The slider turtle,
Trachemys scripta, also inhabits the Los Tuxtlas region and lays pliable eggs during a
three-month period (June - August) (Vogt, 1990). This species lacks ED and EA,
possibly constraining the turtle to a shorter nesting period due to the desiccation
susceptibility of its eggs. Ackerman et al. (1985) reported that pliable shelled eggs
desiccated under conditions of -0.30 mPa, where as Einem (1956) reported the eggs of
brittle shelled eggs of Kinosternon subrubrum are resistant to desiccation and that eggs
left completely dry will have normal embryonic development. In the laboratory and
without any surrounding incubating substrate, K. leucostomum eggs lose on average
◦ 0.0003 + 0.00001g H20 per min at 27.2 C and 29.3% relative humidity (egg volume, x =
6.0 + 0.1 mm3, N = 4; Horne, personal observation). In comparison the smaller pliable
eggs of the painted turtle, Chrysemys picta, loses 0.001 + 0.0002g H20 per min (egg
volume, x = 3.7 + 0.2 mm3, N = 5), whereas the larger pliable eggs of the slider turtle,
Trachemys scripta, loses 0.0007 + 0.0004g H20 per min (egg volume, x = 10.7 + 0.4
mm3, N = 3; Horne unpublished data). The small C. picta eggs not surprisingly had the
greater evaporative water loss rate. Interestingly, the smaller brittle shelled eggs of K.
leucostomum lost water at a rate of 0.0004 grams per min less than the larger pliable T.
57
scripta eggs, which are on average 3.7 mm3 larger. The smaller K. leucostomum eggs are
more desiccant resistant.
Variation in the embryonic sensitivity to environmental conditions may be an
adaptive response that reflects characteristics of natural nests (Flatt et al., 2001). Species
differences in the nest depth may indicate their sensitivity to changes in environmental
conditions. Species that dig deep nests may have eggs that are more sensitive to water
loss than shallow nesting species (Flatt et al, 2001). Morales-Verdeja and Vogt (1997)
described K. leucostomum as a surface/subsurface nester (defined as the lack of a well-
defined nest chamber, usually just a slight scraping in the soil with eggs sometimes
covered with leaf litter), similar to two other tropical surface/subsurface nesters, Claudius
angustatus ((Flores-Villela and Zug, 1995) and Rhinoclemmys funerea (Moll and Moll,
1990). Thus, it is likely that the embryos of K. leucostomum are less sensitive to
variation in dry soil conditions, and their nesting behavior and desiccation resistance may
explain why few embryos were found in EA, a physiological response perhaps induced
by low levels of metabolically available water. It also is possible that the embryos of K.
leucostomum are sensitive to the high moisture content of the incubating substrate and
that their nesting behavior reflects this physiological constraint. Brittle shelled eggs may
be more rigid and lack the flexibility to expand preventing additional water uptake.
The hatching events observed in experiment 2 occurred before seasonal wetlands
filled with rainwater. Morales and Vogt (1997) found 20 K. leucostomum nests within 0 -
5 m of the shoreline and the remaining four nests within 5 - 10 meters of the shoreline of
an ephemeral lake in Los Tuxtlas. Perhaps hatching in June and July before the heaviest
58
rains (see Figure 3.9) is related to the time necessary for hatchlings to transverse the
distance between nesting sites and the lake. A likely scenario is that hatchlings arriving
at the lake before its filling would then reside under the leaf litter and dense herbaceous
plant layer until the wetland filled (the lake generally fills in mid-to-late August). The
lake does not fill until the surrounding soil is saturated and there is surface water runoff.
Previous studies on temperate turtles indicate that turtle embryos develop longer
in wetter substrates (Morris et al., 1983; Packard and Packard, 1986; Packard 1991). The
role of soil moisture as a cue for emergence is of considerable interest in the development
of K. leucostomum. Embryos may need additional metabolic water reserves to activate
metabolism after long periods of metabolic depression due to dehydration during
morphogenesis or aestivation. It also is possible that a saturated substrate is necessary for
the eggshell to become structurally weakened thus facilitating hatching, as evident by
cracks or slits in tropical Kinosternon eggs months before hatching (R.C. Vogt, personal
communication). Thus, dehydration could be a cue for inducing EA (Ewert, 1985;
Kennett et al., 1993; Booth, 1999) and rehydration caused by rainfall and increases
relative humidity a cue for emergence (Long, 1986; Kuchling, 1999). Our findings
suggest a strong association between increased moisture and emergence similar
Kinosternon subrubrum (Burke et al., 1994) and Carretochelys insculpta (Doody et al.,
2001) In experiment 1, the lack of stimulus (e.g., increased hydric conditions) to induce
emergence when embryos were in EA may have resulted in lower hatching success. This
may be due to embryos perishing from dehydration awaiting an increase in moisture as a
cue to indicate the end of the dry season (Gibbons and Nelson, 1978). In our study,
59
candling also may have stimulated hatching; four embryos in EA hatched within three
days of candling. Minor handling of the eggs of the pig-nosed softshell, C. insculpta will
cause them to hatch (Sean Doody, personal communication).
Although the current study presents evidence for the timing of embryogenesis
being environmental influenced, it is important to account for maternal and genetic
influences. Denlinger (1985; 1998) demonstrated the maternal influences in the diapause
of the larval stage of the flesh fly, Sarcophaga bullata and suggested that the interaction
between environmental and maternal influences may be crucial to understanding
facultative developmental timing in this study system. Similarly, multiple-paternity may
explain phenotypic variation of developmental timing within clutches (Valenzuela, 2000;
Pearse and Avise, 2001; Pearse et al., 2002). Finally, crossbreeding experiments between
two subspecies of Indian black pond turtles (Melanochelys trijuga trijuga and M. trijuga
thermalis) demonstrated a strong genetic component to ED. M. trijuga trijuga normally
expressed ED whereas the more equatorially distributed M. trijuga thermalis did not;
hybrids expressed ED that was approximately half the duration of M. trijuga trijuga in
constant temperature laboratory incubation (Steve Freedberg, personal communication;
Mike Ewert, unpublished data).
The facultative capability to initiate morphogenesis is a mechanism to increase
the potential reproductive season of turtles. Because of the facultative capability, K.
leucostomum can be reproductive during the rainy season when embryos diapause and
continue to reproduce into the dry season. Females can oviposit well into the dry season
when a higher proportion of embryos initiate morphogenesis immediately. Using the
60
facultative development capability increases the number of clutches that an individual
female can produce during the year. Throughout the rainy season and into the dry season
K. leucostomum are reported to produce between four and five clutches per year (Vogt,
1990). In a sense, turtles that express ED and EA are manipulating the timing of
hatching/emergence in a similar manner to many plants that create seed banks in order to
delay germination (Grime, 1977, 1979). These traits are good examples of physiological
mechanisms for germ banking, a more accurate term than the commonly misused term
bet hedging, reviewed in Evans and Dennehy (2005). Additional multi-year life history
studies on individuals with known ontogenies will better elucidate the cost benefit
relationship for ED expression.
Diapause in insects is highly variable (Denlinger, 1985) and its expression can be
modified according to changes in latitude (Masaki, 2002). This cline of ED expression is
associated with a gradient of selection processes that result from latitudinal variation in
environmental conditions (Masaki, 2002). Although in this study there were no tests for
either stabilizing or directional selection on the ED trait, it probably is weak and highly
variable among populations due to a broad suitable range for trait expression (Ewert and
Wilson, 1996). This variation is perhaps why there has been confusion over which
species express ED. For example, there were conflicting reports on whether chicken
turtles (Deirochelys reticularia) from the southern US express ED. Jackson (1988)
reported embryos proceeded directly into morphogenesis. However, Ewert (1985)
reported that these embryos express ED. It was not until Ewert and Wilson (1996)
confirmed that the embryos in Ewert’s 1985 study were from the fall and the embryos
61
from Jackson’s 1988 study were from the spring that the issue was clarified. It is now
understood that D. reticularia embryos oviposited in the fall enter ED to over-winter,
with main morphogenesis starting in the spring and those oviposited in the spring
generally proceed directly into morphogenesis (Gibbons and Nelson, 1978; Congdon et
al., 1983a, Buhlmann, 1998).
Why both ED and EA occur in turtles and how environmental conditions
experienced by the embryo affect fitness is beginning to be understood. During the
coolest parts of the year, temperatures may drop below the thermal minimum for
development, resulting in morphological abnormalities (e.g., scute abnormalities; Ewert,
1985), reduced fitness, or death of actively developing embryos. ED can synchronize
morphogenesis to conditions better suited for development and EA allows neonates to
remain in the egg until environmental conditions are suitable for post-emergence survival
(e.g., ephemeral habitats containing water). Thus, the combination of ED and EA may
increase embryo survivorship when there are multiple non-suitable periods for
embryogenesis during ontogeny.
62
Chapter 4
The Effect of Female Size on Egg/Clutch Size and Hatching Success in a Turtle
(Kinosternon leucostomum) with Embryonic Diapause
Abstract
In oviparous organisms, female size generally correlates positively with egg and
offspring size. However, when developmental arrest of embryos results in prolonged
incubation periods, females may alter their reproductive investment strategies to offset
potential additional embryonic energy expenditures. I studied the relationship between
female size, egg size, clutch size, and hatching success in the white-lipped mud turtle
(Kinosternon leucostomum), a species with embryonic diapause (ED) that can extend
incubation up to ten months. Hatching success was low (51%) and was not affected by
egg or clutch size. Clutch size, egg length, width, volume, and wet mass increased with
female carapace length with egg mass increasing the most. Thus, K. leucostomum is
unusual in that the traditional inverse relationship between clutch size and egg size is not
upheld even when the effects of female body size are removed. I evaluate how this
reproductive strategy may be advantageous for species that can use ED to extend the
length of the nesting season thereby increasing their annual reproductive output.
63
Introduction
Females with a limited amount of energy available for reproduction (i.e., parental
investment) (Trivers, 1972; 1974; 1985; Godfray and Parker, 1991) should differentiate
between the amount of energy allocated to individual offspring and the number of
offspring (Howe, 1978; Congdon and Gibbons, 1990). As consequence of this parent-
offspring conflict (Parker and Mock, 1987; Godfray and Parker, 1991), there is an
optimal egg size (i.e., the size of egg that maximizes offspring survival and female
reproductive potential (Smith and Fretwell, 1974; Parker and Begon, 1986; Stearns,
1992)). Falconer (1965) documented the first maternal influences on offspring phenotype
leading to additional discoveries across a wide range of taxa.
The effect of maternal condition and environment variation during development
contributes to offspring phenotype (Rhen and Lang, 1995) and has become an active area
of research (reviewed in Lacey, 1998). In many reptiles, particularly turtles, variation in
nest temperature influences hatchling sex (Pieau, 1974; Bull and Vogt, 1979; Ewert and
Nelson, 1991; Janzen and Paukstis, 1991; Valenzuela and Lance, 2004) and size (Doody,
1999; Booth 2000). In general, warm temperatures produce larger female turtles and cool
temperatures produce smaller males (Packard, 1991). Gutzke et al. (1987) and Packard
and Packard (1988) have shown that temperature in combination with hydric conditions
significantly affect hatchling body size. Consequently, a central paradigm of nesting
ecology is that environmental variation among nests can result from variation in maternal
nest site choice (Overall, 1994; Resetarits, 1996; Roosenburg, 1996; Warner and
Andrews, 2002). Thus, variation in offspring phenotype is influenced by more than the
64
combination of maternal genetic material and maternal resources allocated to each
offspring (Wade, 1998).
In reptiles, egg/clutch size generally correlates positively with female size
(Carpenter, 1960; Dunham and Miles, 1985; Wilbur and Morin, 1988; Gibbons and
Greene, 1990). Therefore, variable maternal effects such as egg size (Elgar and Heaphy,
1989; Roosenburg and Niewiarowski, 1998) must be removed when evaluating the
influence of environmental variation on offspring phenotype. For example, when
investigating seasonal changes in egg size, it is necessary to control for variation in
female size as larger females may nest at different times of the nesting season. Larger
females also tend to nest at a greater frequency than smaller females, thus they have a
greater capacity to produce multiple offspring/clutches per year (Horne et al., 2004).
Additionally, larger females may have longer reproductive periods per season as they
have greater potential to store and obtain obligatory reproductive resources (Kuchling,
1999; Doody et al., 2003; Moll and Moll, 2004).
Although maternal influences are well described in temperate oviparous
organisms that have restricted start time and duration of development (Kempthorne,
1969; Wright, 1969; Falconer, 1989; reviewed in Wade, 1998), there is little knowledge
of how species with facultative developmental timing are impacted by maternal
influences. Mechanisms for dissociating development from oviposition include cold
torpor (e.g., synchronization of hatching in bird siblings (Ewert, 1985)) and numerous
forms of early developmental diapause in fish (Murphy and Collier, 1997), mammals,
(Yamaguchi et al., 2006) and turtles (Booth, 2002). These mechanisms enable
65
developing embryos to conserve parental investment in care (PIC) (Congdon, 1989;
Congdon and Gibbons, 1990). Previous studies of chelonian species exhibiting
prolonged incubation periods have involved hatchling over-wintering (Congdon and
Gibbons, 1990). Species that can arrest metabolism early in development rather than
later should be able to conserve PIC, suggesting a weaker association between female
size and egg size, because less energy is needed during these prolonged developmental
periods. However, there is an additional constraint. There should be a tighter
relationship between female size and egg size when the hatchlings emerge into a
resource-poor environment (Nagle et al, 2003). Nagle et al. (2003) demonstrated that the
smooth softshell turtle (Apalone mutica) required greater amounts of PIC due to its lotic
post-hatching environment that was poor in nutrient resources. Females may provision
eggs with varying amounts of yolk (i.e., energy) to meet different post-hatching situations
(Congdon and Gibbons, 1985).
In turtles, embryonic diapause (ED) is a physiological mechanism that arrests
embryogenesis in the late gastrula stage. The induction of this arrest occurs well before
conditions adverse to embryogenesis arise, and active development begins after a
prolonged exposure to an environmental cue (e.g., cool temperatures). ED expression
can last for many months, thereby enabling oviposition well before environmental
conditions suitable for embryogenesis begin. ED arrests metabolism and reduces cellular
maintenance costs (i.e., catabolism of yolk; Ewert 1985) thereby reducing energy
expenditures (i.e., propagule size) when prolonged incubation is essential to offspring
survival. If there is an increase in energy expenditures due to postponed morphogenesis
66
then females should increase the energy allocation per egg at the cost of additional egg
production (Shine, 1980; Lloyd, 1988). It is assumed that increased energy allocation
will be represented by increases in egg size. However, during ED very little energy is
used to prolong incubation so additional resources are potentially available to post-
paritive lecithotrophy. Hatchlings can more quickly reach a positive energy balance due
to these energy reserves so they can grow more rapidly as young juveniles. Thus, the
advantages of larger egg size may be more related to post-emergence survival and
growth.
I studied the relationship between female size, offspring phenotype, and hatching
success in the white-lipped mud turtle (Kinosternon leucostomum), a turtle that
facultatively express ED (Ewert, 1991). Ranging from southern Mexico to western
Ecuador (Iverson, 1992) K. leucostomum utilizes a wide range of habitats, from large
permanent lakes and rivers to small ephemeral ponds (Berry and Iverson, 2001), and lays
multiple small clutches (1-6 eggs; Moll and Legler, 1971; Berry and Iverson, 2001; see
below) during an extended nesting season (Vogt, 1997).
Methods
I collected 143 eggs from 64 K. leucostomum females between October 12, 2002
and April 24, 2003 within the Los Tuxtlas region of southern Veracruz, Mexico. Females
were trapped using fyke-nets and funnel traps baited with canned tuna and maximum
straight-line carapace length and width were measured with digital calipers (Mitutoyo,
model: CD-12” CP) to the nearest 0.01 mm. I injected oxytocin, a hormone that triggers
67
smooth muscle contractions in the oviducts, into the inguinal region of gravid females to
induce oviposition (Ewert and Legler, 1978). Because oxytocin injection can fail to
induce complete clutch oviposition (Ewert and Legler, 1978), I used female carapace
length in analyzing maternal effects instead of female post-parturition wet mass. All
females were palpated before and after oviposition, females retaining eggs were noted
and excluded from clutch size analysis. Due to the small size of the females, I could
detect any remaining eggs. Immediately after oviposition, maximum egg length, and
maximum egg width were measured to the nearest 0.01 mm using digital calipers, and
egg wet mass was recorded on an electronic balance (Denver Instrument, XP-3000) to the
nearest 0.1 of a gram. All eggs were blotted dry with a paper towel before recording
mass. The formula V = (∏ /6000) * L* W2) calculated elliptical egg volume (Iverson
and Ewert 1991). I incubated eggs as described in chapter 3.
All statistical tests were performed on SAS (2001) and SYSTAT (Version 10)
software. When testing for relationships between female size and egg size, I used
multiple regressions with egg size parameters as the response variables and multiple t-
tests for determining significance of individual variables. To investigate female size and
hatching success, a multiple logistic regression with a one-way model was used to test for
differences in egg size parameters. Simple linear regression tested for seasonal effects on
egg mass and female size. I analyzed the relationships between female size and egg size,
and female size and clutch size using multiple regressions with maximum R-squared
improvements, simple correlations, and t-tests with Bonferroni adjusted probabilities.
Because female mass may include additional developing follicles and corpora lutea, I
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used female maximum straight-line carapace length as a covariate to test for seasonal
differences in egg size. Non-transformed data was used to create the best-fit linear
regression lines; otherwise, data was log10 transformed. Square-root conversion
normalized clutch size data and hatching success (number of hatchlings per female). To
avoid clutch effects, I averaged sibling parameters when multiple individuals originated
from the same clutch. P-values were set at 0.05, and means were expressed + the
standard error (SE).
Results
Hatching success rate was 51.0%; 19 clutches failed, and 45 clutches produced 73
hatchlings. Female size, egg size, clutch size, hatchlings per clutch, and the size of
successful females are reported in Table 4.1. Larger females were not more successful in
2 producing hatchlings (r = 0.06, F1,41 = 2.57, P = 0.12; Figure 4.1). Egg size parameters
of embryos that successfully hatched (N = 73) are reported in Table 4.2. There were no
multivariate relationships between mean egg parameters and hatching success (Table
4.3). When the difference between egg length and hatching success was re-tested
independently, there was still no relationship (χ2 = 1.34, P = 0.25). The addition of
sibling relationships into the full model, more accurately predicted (r2 = 0.59, df = 68) the
relationship between egg sizes and hatching success; however, this result was invalidated
due to low sample size.
There was no seasonal effect on egg mass when the residuals of clutch size and
2 mean clutch egg mass were regressed against date of oviposition (r = 0.01, F1,63 = 0.19,
69
P = 0.67). Additionally, there were no seasonal changes in the size of gravid females (r2
< 0.001, F1,63 = 0.04, P = 0.84).
Egg size differed among clutches for all four metrics: egg wet mass (F61,71 = 3.13,
P < 0.001), egg volume (F61,71 = 3.37, P < 0.001), egg width (F61,71 = 2.97, P < 0.001),
and egg length (F61,71 = 3.36, P < 0.001). Egg length, width, volume, and mass increased
with female size (N = 46; F = 4,41 = 3.76, P < 0.001; Figure 4.2). However, egg mass was
the only significant variable in the model (t = 3.76, P < 0.001). Egg size parameters are
summarized in Table 4.2. Interestingly, clutch size also increased with female carapace
2 length (r = 0.17, F1,41 = 12.72, P < 0.001; Figure 4.1). Since egg mass explained the
most egg-size variation in relation to female size, it was used to investigate the effects of
female size and clutch size.
Linear regression of the residuals of mean egg mass and clutch size with female
2 carapace length was positive (r = 0.31, F1,63 = 27.94, P < 0.001) indicating that larger
females are still making larger eggs and clutches when corrected for the positive effect of
clutch size on egg size. This result is contrary to the typical trade off between egg size
and clutch size. Mean egg mass increased with each additional egg per clutch (r2 = 0.09,
F1,63 = 6.41, P = 0.01; Figure 4.3). Furthermore, an average increase of 8.5 mm in female
carapace length resulted in an additional egg per clutch, and increased individual egg
mass relates to only 4.04 % of the total increase in clutch mass.
70
Discussion
A positive correlation between egg size and clutch size was found in contrast to
the more typical negative relationship observed in most turtles. Thus, K. leucostomum
shows no evidence of a reproductive trade-off between egg and clutch size. A similar
positive relationship between egg size and female size occurs when egg size is limited by
the females pelvic opening, for example in the painted turtle, Chrysemys picta (Congdon
and Tinkle, 1982), and the slider turtle, Trachemys scripta (Congdon and Gibbons, 1983).
Yet, it is still regarded as an unusual reproductive pattern (reviewed in Congdon and
Gibbons, 1990), because there a negative correlation is more common (Congdon and
Gibbons, 1985). The small clutch size (1 - 5 eggs) in K. leucostomum suggests that there
may be two constraints affecting egg size and number, the pelvic aperture affecting egg
size and volumetric constraint due to the inflexibility of the carapace and plastron. No
small females were found with large clutches (3+ eggs). When controlling for body size,
larger females still produced more eggs.
Larger turtles in this study all had signs of advanced age, including heavily
melanistic shells and external soft tissues (Lovich et al., 1990), worn growth annuli or
excessive accumulation of growth annuli at the scute seems of the plastron (Moll and
Legler, 1971), and outward “bowing” of costal bones (Peter Pritchard, personal
communication). Although there was a wide range of female size, these observations
suggest that some of the largest turtles may be some of the oldest. It is not always true
that the largest females in the population are necessarily the oldest (Frazer et al. 1990).
71
Increased growth rates at an early age can overshadow the more gradual growth after
sexual maturity (Dunham and Gibbons, 1990; Congdon et al., 2003).
The positive correlation between egg size and female size was expected and not
surprisingly, egg length changed more rapidly than egg width. In addition, egg mass
increased at a greater rate with length rather than width suggesting female size constrains
egg width. The pelvic opening influences egg width, more readily than egg length and
can be a morphological constraint (Congdon and Gibbons, 1987). Egg length can be
variable due to yearly fluctuations in energy reserves devoted to reproduction (Congdon
and Gibbons, 1990); egg width should increase incrementally as female body size
increases (Congdon and Gibbons, 1987).
Excluding depredation and death due to increased energetic utilization during
prolonged development, death in otherwise healthy embryos is presumably related to
lethal mutations during embryogenesis and/or environmentally induced hardships. Turtle
embryos are susceptible to desiccation and excessive water uptake (Packard and Packard,
1988; Ackerman and Lott, 2004), but Kinosternid turtles have desiccation-resistant eggs
(Packard et al., 1984) due to thicker shells. Because of the thicker eggshell, they are less
able to absorb water after oviposition (Packard et al., 1982) and are thus highly dependent
on the initial egg water content. Larger eggs, with their corresponding higher water
content, and lower surface area to volume ratio (Packard, 1991), may have a selective
advantage during prolonged incubations if physiologically available water becomes a
limiting factor in development. Yet, no difference in survivorship among egg sizes was
observed, suggesting that the cause of embryonic death in this study was independent of
72
egg size – possibly cellular mutation or bacterial/fungal infections. Therefore, the
advantages of larger egg size may have a greater impact on post-emergence survival and
growth.
The clade Kinosternidae is comprised of approximately 22 species (Bonin et al.,
2006); all with very similar adult morphology, clutch size to female size relationships,
and egg size to female size relationships. Iverson and Ewert (1991) reported the egg
volume for K. leucostomum of unknown northern Central American origin (Mike Ewert,
personal communication) as 7.59 cm3 (N = 7), which falls midway in the range of the egg
volume found in this study. In addition, their reported mean egg length (37.17 mm) and
mean egg width (19.03 mm) were also within the range of egg sizes found in this study.
Similarly, clutch size reported here is not different from what Morales-Verdeja and Vogt
(1997) documented, nor did it vary greatly from the smaller non-ED expresser
Kinosternon subrubrum of the eastern deciduous US (mean clutch size = 3.0, range 1-5;
Gibbons et al., 1982). However, the clutch size of Kinosternon leucostomum found in
this study was less than the similarly sized Kinosternon sonoriense of the deserts of
southwestern United States and northwestern mainland Mexico (range 1-11; Ernst et al.,
1994). This species is also a known expresser of ED, with incubation periods of almost a
full year (Ewert, 1991). Hulse (1982) reports a positive correlation with female size and
egg size for K. sonoriense, however Gibbons et al. (1982) was not able to describe a
pattern between female size and clutch size in K. subrubrum. Thus, K. leucostomum is
more similar to K. sonoriense in regards to developmental timing and the relationship of
female size to egg size but more similar to K. subrubrum in clutch size.
73
Reproductive patterns of turtles fit into two broad types: those with few large
clutches of relatively small eggs, which are laid during a distinct nesting season (Type I)
and those with several small clutches of relatively large eggs, which are laid more or less
continuously (Type II; Moll, 1979; Moll and Moll, 2004). Type II reproduction is
predominantly observed in tropical turtles (Moll, 1979) while Type I nesters are
distributed globally. Tropical turtles (e.g., certain species of genera Acanthochelys,
Kinosternon, Phrynops, and Rhinoclemmys) known to be long-term historical residents
have derived a Type II reproductive strategy of “small clutches of large, brittle-shelled
eggs with long incubation periods” (Moll and Moll, 2004). Whereas recent radiation of
Trachemys into Meso-America from its temperate origins retain the Type II reproductive
characteristics; reviewed in Legler, 1990; see also Vogt, 1990. Trachemys scripta
venusta (Type I) is a medium-sized turtle (30 cm mean female carapace length; Moll and
Legler, 1971), which is sympatric with the much smaller K. leucostomum (Table 4.1;
Type II) in southern Mexico. Trachemys s. venusta nests within a two-month period
(clutch sizes ranging 5 – 22 eggs; ratio of egg length to female carapace length is 0.16
(3.81 cm/23.6 cm; Vogt, 1990)). In addition, T. s. venusta has the typical negative
correlation between egg size and female size (Moll and Legler, 1971) unlike the K.
leucostomum in this study. My results suggest that K. leucostomum has a Type II
reproductive strategy producing small clutches ranging 1 – 5 eggs with large eggs (mean
egg length 3.41 cm) relative to female size (mean female carapace 14.0 cm) and they
have a protracted 10 month nesting season (Morales-Verdeja and Vogt 1997).
74
Until now, no physiological mechanism has been proposed for the prolonged nesting
periods in Type II species. However, a compromise between the energetic needs of the
embryo and the hatchling may provide some insight. Egg yolk is composed of high-
energy lipids that are converted into new tissues throughout embryogenesis (Ewert, 1979;
Congdon et al., 1983b). Eggs must contain enough yolk for both development and
maintenance of all embryonic tissues (Ar et al., 2004). Although, turtles generally do not
exhibit parental care beyond nest construction, females allocate more yolk per egg than
necessary for embryonic development (Nagle et al., 1998). Yolk not used before
hatching is retained within the hatchling as residual energy reserves and can be used for
post-paritive lecithotrophy. Thus, increases in egg size and the subsequent increases in
PIC are not similar to what Nagle et al. (2003) documented in Apalone mutica, which
emerge into a nutrient-poor system. Furthermore, Nagle et al. (1998) reported that
hatchling emergence strategies in addition to developmental factors (e.g., temperature,
date of oviposition, and metabolic rates) affect Kinosternid parental investment. The
relationship between egg size and clutch size in K. leucostomum is weakened by the
embryos ability to arrest development during extended incubation periods by expressing
ED, thereby conserving PIC. I suggest that ED is an energy conservation mechanism in
Type II turtles that reduces energy expenditure for development (Congdon, 1989;
Congdon and Gibbons, 1990), resulting in more energy for PIC. The extended nesting
season facilitated by ED allows for more reproductive bouts compared to Type I
congeners perhaps resulting in similar annual reproductive output between the strategies.
Future research should exam female age, clutch frequency, and annual individual
75
variation in egg/clutch size amongst reproductive events to understand the advantages of
reproducing at smaller body sizes relative to delaying maturity to reach a larger female
body size (Gibbons et al., 1982; Congdon and Gibbons, 1990). Conceivably the
reproductive biology of K. leucostomum will be considered typical when we develop a
greater understanding of the life histories of turtles with Type II reproductive strategies.
76
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Appendix A. ED categorical modeling database. Species list with range (within geographic bans, Y = Yes and N = No), egg type (B = Brittle and P = Pliable), phylogeny (close phylogenetic relationship to a species possessing ED, Y = Yes and N = No), and ED expression (documentation of the traits expression, Y = Yes, N = No, UK = Unknown, P = Probable ED expression, NP = No Probable ED expression, and HP = Highly probable ED expression).
In Range* Egg Type Phylogeny** ED Expression Acanthochelys macrocephala Y B 1 Y UK Acanthochelys pallidipectoris Y B 2 Y Y 2 Acanthochelys radiolata Y B 3 Y UK Acanthochelys spixii Y B 4 Y UK Actinemys marmorata Y B 5 N N 6 Amyda cartilaginea N B 7 N P Apalone ferox Y B 8 N N 8 Apalone mutica Y B 5 N N 3 Apalone spinifera Y B 3 N N 3 Aspideretes gangeticus Y B 9 Y Y 9 Aspideretes hurum Y B 10 Y P Aspideretes leithii Y B 10 Y P Aspideretes nigricans Y B 11 Y P Batagur baska Y P 12 N N 12 Callagur borneensis N P 12 N N 12 Caretta caretta Y P 13 N N 13 Carretochelys insculpta N B 14 N N 14 Chelodina cannii Y B 15 Y Y 15 Chelodina expansa Y B 15 Y Y 15 Chelodina longicollis Y B 15 Y P Chelodina mccordi Y B 15 Y P Chelodina novaequinae N B 15 Y N 15 Chelodina oblonga Y B 15 Y P Chelodina parkeri N B 15 Y HP Chelodina pritchardi Y B 15 Y P Chelodina reimanni N B 15 Y N 15 Chelodina rugosa Y B 16 Y Y †, 16
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Appendix A continued. ED categorical modeling database
Chelodina siebenrocki N B 15 Y N 15 Chelodina steindacheri Y B 15 Y P Chelonia mydas Y P 5 N N 5 Chelus fimbriata N B 17 Y P Chelydra acutirostris Y B 17 N N 17 Chelydra rossignonii Y B 17 N N 17 Chelydra serpentina Y B 5 N N 18 Chersina angulata Y B 17 Y P Chinemys nigricans Y P 3 N UK Chinemys reevesii Y P 19 N P Chitra chitra Y B 20 N P Chitra indica Y B 10 N P Chrysemys picta Y P 5 N N 5 Cladius angustatus Y B 21 Y Y 21 Clemmys guttata Y P 22 N N 5 Cuora amboinensis Y B 17 N Y 1 Cuora aurocapitata Y P 23 N UK Cuora flavomarginata Y B 24 N N 24 Cuora galbinifrons Y P 25 N UK Cuora pani Y B 23 N UK Cuora trifasciata Y B 26 N N 27 Cuora zhoui Y P 28‡ N UK Cyclanorbis elegans N B 29 N UK Cyclanorbis senegalensis N B 29 N PN Cyclemys dentata Y P 3 N PN Cyclemys tcheponensis Y P 30 N UK Cycloderma aubryi Y B 31 N UK Cycloderma frenatum Y B 17 N P Deirochelys reticularia Y P 32 N Y 32 Dermatemys mawii Y B 21 N Y 21 Dermochelys coriacea Y P 5 N N 33
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Appendix A continued. ED categorical modeling database
Diposochelys dussumieri Y B 17 Y P Dogania subplana N B 10 N UK Elseya belli N B 15 N N 15 Elseya dentata Y B 15 Y P Elseya georgesi N B 15 N N 15 Elseya irwini Y B 15 Y P Elseya latisternum Y B 15 Y PN Elseya novaquinae N B 15 N N 15 Elseya purvisi N B 15 N N 15 Elusor macrurus Y B 15 Y PN Emydoidea blandingii N P 5 N N 3 Emydura australis Y B 15 Y UK Emydura krefftii Y B 15 Y N 15 Emydura macquarii Y B 15 Y N 15 Emydura signata Y B 15 Y UK Emydura subglobosa N B 15 Y N 15 Emydura tanybaraga Y B 15 Y UK Emydura victoriae Y B 15 Y UK Emydura worrelli Y B 15 Y UK Emys orbicularis N P 34 N N 34 Ertmochelys imbricata Y P 5 N N 5 Eymnochelys madagascariensis Y P 35 N N 35 Geochelone carbonaria Y B 17 Y P Geochelone chilensis Y B 17 Y P Geochelone denticulata N B 17 Y P Geochelone elegans Y B 17 Y P Geochelone nigra N B 17 Y P Geochelone paradalis Y B 17 Y Y 36 Geochelone platynota Y B 17 Y P Geochelone radiata Y B 17 Y P Geochelone sulcata N B 17 Y N 17
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Appendix A continued. ED categorical modeling database
Geochelone yniphora Y B 17 Y P Geoclemys hamiltoni Y B 10 Y N 10 Geoemyda spengleri Y P 3 N UK Glyptemys insculpta N P 5 N N 5 Glyptemys mulhenbergii N P 37 N N 38 Gopherus agassizii Y B 5 N N 5 Gopherus berlandieri Y B 5 N N 39 Gopherus flavomarginatus Y B 5 N N 40 Gopherus polyphemus Y B 17 N N 41 Graptemys barbouri Y P 42 N N 43 Graptemys caglei Y P 44 N N 45 Graptemys ernsti Y P 17 N N 46 Graptemys flavimaculata Y P 47 N N 47 Graptemys geographica N P 17 N N 48 Graptemys gibbonsi Y P 17 N N 53 Graptemys nigrinoda Y P 49 N N 49 Graptemys oculifera Y P 50 N N 50 Graptemys ouachitensis Y P 51 N N 51 Graptemys pseudogeographica Y P 51 N N 51 Graptemys pulchra Y P 17 N N 17 Hardella thurjii Y B 52 N Y 52 Heosemys depressa Y P 53 N UK Heosemys grandis N B 53 N N 53 Siebenrockiella (Heosemys) leytensis N B 54 N UK Heosemys spinosa N B 3 N UK Hieremys annadalii Y B 17 N P Homopus areolatus Y B 55 N P Homopus bergeri Y B 55 Y UK Homopus boulengeri Y B 56 Y UK Homopus femoralis Y B 57 Y UK Homopus signatus Y B 58 Y UK
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Appendix A continued. ED categorical modeling database
Hydromedusa maximiliani Y B 59 Y P Hydromedusa tectifera Y B 60 Y P Indotestudo elongata Y B 10 N P 61 Indotestudo forsteni N B 10 N N 10 Indotestudo travanacorica Y B 10 N P Kachuga dhongoka Y P 10 N N 10 Kachuga kachuga Y P 10 N N 10 Kachuga trivittata Y P 62 N N 62 Kinixys belliana Y B 17 Y P Kinixys erosa N B 17 Y UK Kinixys homeana N B 17 Y P Kinixys lobatsiana Y B 63 Y P Kinixys natalensis Y B 64 Y P Kinixys spekii Y B 65 Y P Kinosternon acutum Y B 53 Y Y 53 Kinosternon alamosae Y B 66 Y UK Kinosternon angustipons Y B 67 Y Y 68 Kinosternon arizonense Y B 3 Y N 3 Kinosternon baurii Y B 69 Y Y 69 Kinosternon chimalhuaca Y B 70 Y Y 53 Kinosternon creaseri Y B 71 Y UK Kinosternon dunni N B 72 Y UK Kinosternon flavescens Y B 73 Y N 17 Kinosternon herrerai Y B 74 Y Y 74 Kinosternon hirtipes Y B 75 Y Y 53 Kinosternon integrum Y B 17 Y Y 53 Kinosternon leucostomum Y B 53 Y Y 53 Kinosternon oaxacae Y B 53 Y UK Kinosternon scorpioides Y B 17 Y Y 76 Kinosternon sonoriense Y B 5 Y Y 77 Kinosternon subrubrum Y B 79 Y P
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Appendix A continued. ED categorical modeling database
Lepidochelys kempi Y P 80 N N 80 Lepidochelys olivacea Y P 17 N N 53 Lissemys punctata Y B 17 Y Y 81 Lissemys scutata Y B 53 Y Y 53 Macrochelys temminckii Y B 82 N N 82 Malaclemys terrapin Y P 83 N N 83 Malacocherus tornieri N B 17 N Y 69 Malayemys subtrijuga Y B 84 N P Manouria emys Y B 17 N P Manouria impressa Y B 29 N PN Annamemys (Mauremys) annamensis Y P 85 N P Mauremys caspica N P 17 N N Mauremys iversoni Y P 86 N UK Mauremys japonica N P 87 N N 88 Mauremys leprosa N P 87 N N 87 Mauremys mutica Y P 3 N UK Melanochelys tricarinata Y P 53 Y UK Melanochelys trijuga Y B 17 Y Y 69 Morenia ocellata Y B 3 Y P Morenia petersi Y B 10 Y P Natator depressus N P 5 N N 5 Nilsonia formosa Y B 53 N UK Notochelys platynota N P 53 Y UK Ocadia sinesis Y B 89 N UK Orilitia borneensis N B 17 N HP Palea steindachneri Y B 17 N N 90 Pangshura smithii Y B 10 Y HP Pangshura sylhetensis Y B 10 Y UK Pangshura tecta Y B 10 Y P Pangshura tentoria Y B 10 Y Y 53 Pelochelys bibroni Y B 10 N N 10
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Appendix A continued. ED categorical modeling database
Pelochelys cantori Y B 10 N UK Pelodiscus sinensis Y B 5 N N 5 Pelomedusa subrufa Y B 17 Y P Peltocephalus dumerilianus N P 91 N P Pelusios adansonii N B 3 N PN Pelusios bechuanicus Y B 92 N PN Pelusios broadleyi N B 93 N UK Pelusios carinatus N B 94 N UK Pelusios castaneus N B 17 N UK Pelusios castanoides Y B 17 N PN Pelusios chapini N B 97 N UK Pelusios gabonensis N B 93 N PN Pelusios nanus Y B 98 N UK Pelusios niger N P 17 N PN Pelusios rhodesianus Y B 93 N PN Pelusios sinuatus Y B 3 N P Pelusios subniger Y P 93 N N 17 Pelusios upembae N B 97 N UK Pelusios wiliamsi N B 93 N P Phrynops dalhi N B 99 Y UK Phrynops gibbus N B 80 Y P Phrynops hilarii Y B 53 Y Y 53 Phrynops hogeii Y B 91 Y UK Phrynops tuberculatus Y B 100 Y UK Phrynops williamsi Y B 17 Y P Phrynops geoffroanus Y B 91 N N Phrynops nasutus N B 101 Y UK Phrynops raniceps N B 102 Y UK Phrynops rufipes N B 17 Y UK Phrynops zuliae Y B 91 Y UK Platemys platecephala Y B 103 Y Y 53
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Appendix A continued. ED categorical modeling database
Platysternon megacephalum Y B 53 N UK Podocnemis erythrocephala N P 17 N N 104 Podocnemis expansa N P 17 N N 17 Podocnemis lewyana N P 105 N UK Podocnemis sextuberculata N P 105 N N 105 Podocnemis unifilis N P 105 N N 105 Podocnemis vogeli N B 105 N P Psammobates geometricus Y B 17 Y P Psammobates oculiferus Y B 17 Y P Psammobates tentorius Y B 17 Y P Pseudemydura umbrina N B 35 Y N 35 Pseudemys alabamensis Y P 5 N N 106 Pseudemys concinna Y P 5 N N 107 Pseudemys floridana Y P 5 N N 108 Pseudemys nelsoni Y P 5 N N 108 Pseudemys rubiventris N P 5 N N 5 Pseudemys texana Y P 109 N N 5 Pyxidea mouhotii Y B 10 Y UK Pyxis arachnoides Y B 110 Y UK Pyxis planicauda Y B 80 Y UK Rafetus euphracticus Y B 111 N PN Rafetus swinhoei Y B 112 N UK Rheodytes leukops Y B 18 Y N 15 Rhinoclemmys annulata Y B 17 Y P Rhinoclemmys areolata Y B 17 Y P Rhinoclemmys funerea Y B 17 Y Y 53 Rhinoclemmys melanosterna N B 17 Y P Rhinoclemmys nasuta N B 113 Y P Rhinoclemmys pulcherrima Y B 53 Y Y 53 Rhinoclemmys punctularia N B 17 Y P Rhinoclemmys rubida Y B 53 Y P
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Appendix A continued. ED categorical modeling database
Scalia bealei Y P 17 N P Scalia quadriocellata Y P 17 N P Siebenrockiella crassicollis N P 3 Y N 113 Staurotypus salvinii Y B 114 Y Y 53 Staurotypus triporcatus Y B 26 Y Y 53 Sternotherus carinatus Y B 17 Y N 17 Sternotherus depressus N B 115 Y N 115 Sternotherus minor Y B 17 Y N 17 Sternotherus odoratus Y B 5 N N 5 Terrapene carolina Y P 5 N N 5 Terrapene coahuila Y P 116 N N 17 Terrapene neslsoni Y P 117 N N 17 Terrapene ornata Y P 5 N N 5 Testudo graeca N B 17 N N 17 Testudo hermanni N B 17 N N 17 Testudo horsfieldii Y B 17 N N 17 Testudo kleimanni Y B 17 Y P Testudo marginata N B 17 N N 17 Trachemys adiutrix N P N PN Trachemys decorata Y P 17 N N 17 Trachemys decussata Y P 118 N N 118 Trachemys dorbigni Y P 119 N N 119 Trachemys gaigeae Y P 120 N N 121 Trachemys scripta Y P 5 N N 5 Trachemys stejnegeri Y P 17 N N 122 Trachemys terrapen Y P 17 N N 17 Trachemys venusta Y P 123 N N 123 Trionyx triunguis N B 124 N PN Vijayachelys silvatica Y P 125 N UK
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* Iverson, 1992 ** Iverson, 1992; Shaffer et al., 1997; and Le, 2006 † Extension of pre-ovipositional developmental arrest ‡ Cited incorrectly as Wirot, N. 1979. The Turtles of Thailand. Siamfarm Zool. Gard. 222 pp. in Ernst and Barbour, 1989 when it should be Nupthand, W. 1979 The Turtles of Thailand. Siamfarm Zool. Gard. 222 pp.
1Cintra and Yamashita, 1989; 2Horne, 1993; 3Ewert, 1979; 4Cabrera, 1998; 5Ernst et al., 1994; 6Feldman, 1982; 7Bourret, 1941; 8Goff and Goff, 1935; 9Whitaker, 2000; 10Das, 1995; 11Ahsam and Saeed, 1992; 12Moll and Moll, 2004; 13Dodd, 1988; 14Doody et al, 2003; 15Cann, 1998; 16Kennett et al, 1993; 17Ernst and Barbour, 1989; 18Congdon et al., 1987; 19Fukada, 1965; 20Kitimasak et al, 2003; 21Vogt and Flores Villela, 1992; 22Farrell and Graham, 1991; 23Artner, 2006a; 24Klerks, 2006; 25de Bruin, 2006; 26Nupthand, 1979; 27Mike Ewert, pers. comm..; 28Wirot, 1979; 29Loveridge and Williams, 1957; 30Schilde and Lehr, 2002; 31Maran, 2006; 32Bulhmann, 1998; 33Marquez, 1990; 34Pieau, 1971; 35Kuchling, 1999; 36Cairncross and Greig, 1977; 37Sachsse, 1974; 38Zappalorti, 1976; 39Judd and McQueen, 1980; 40Legler and Webb, 1961; 41Iverson, 1980; 42Cagle, 1952; 43Ewert and Nelson, 1991; 44Vermersch, 1992; 45Wibbels, et al., 1991; 46Shealy, 1976; 47Horne et al., 2003; 48Gibbons and Nelson, 1978; 49Lahanas, 1982; 50Jones et al., 1991; 51Vogt, 1980; 52Dhruvajyoti, 1998; 53Horne, personal observation; 54Pierre Fidenci, personal communication; 55 Baard, 1994; 56Eglis, 1962; 57Branch, 1989; 58Boycott, R. C. 1989; 59Yamashita, C. 1990; 60Friedberg, 1981; 61Senneke, 2006; 62Win Ko Ko et al, 2006; 63Broadley, D. G. 1993; 64Broadley, 1989; 65Nolan, 2006; 66Iverson, 1989; 67Legler, 1966; 68John Legler, personal communication; 69Ewert and Wilson, 1996; 70Berry, et al. 1997; 71Iverson, J. B. 1988; 72Medem, 1961; 73Christiansen and Dunham, 1972; 74Carr and Mast, 1988; 75Iverson, et al., 1991; 76Alvarez del Toro, 1960; 77Ewert, 1991; 78Cameron, 2004; 79Anderson and Horne, in press; 80Pritchard, 1979; 81Vyas, 1996; 82Dobie, 1971; 83Roosenburg and Dunham, 1997; 84Smith, 1931; 85Hofstra, 1995; 86Artner, 1995; 87Vincent, 2005; 88Yasukawa et al., in press; 89Smith, 1923; 90McKeown and Webb, 1982; 91Pritchard and Trebbau, 1984; 92Branch, 1988; 93Spawls et al., 2002; 94Broadley, 1981; 95Cansdale, 1955; 96Mitchell, in Broadley, 1981; 97Bour, 1983; 98Haagner, 1994; 99Medem, 1966; 100Grossmann and Reimann, 1991; 101Medem, 1960; 102Giovanni, 2005; 103Medem, 1983; 104Mittermier and Wilson, 1974; 105Vanzolini, 1977; 106Nelson, 1997; 107Caldwell and Collins, 1981; 108Jackson, 1988; 109Vermersch, 1992; 110Stein, 2006; 111Taskavak and Atatur, 1998; 112Niekisch, et al., 1997; 113Medem, 1962; 113Honegger, 1986; 114Sachsse and Schimdt, 1976; 115Mount, 1975; 116Brown, 1974; 117Milstead and Tinkle, 1967; 118Artner, 2006b; 119Freiberg, 1967; 120Stuart and Painter, 1997; 121Ernst, 1992; 122Inchsustegui, 1973; 123Vogt, 1990; 124 Gidis and Kaska, 2004; 125Vijaya, 1982.
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Appendix B. Calculated probabilities of expressing ED. Probabilities are based on species range, eggshell type, and relatedness to a known ED expresser. The method section in chapter 2 details how species with unknown ED expression were categorized as either highly probable, probable, data deficient, or not probable for ED expression.
66.3% Probability of Expressing ED 69.5% Probability of Expressing ED
Originally highly probable Originally listed as probable ED expressers ED expressers Chelodina parkeri Pangshura smithii Aspideretes hurum Originally listed as probable Aspideretes leithii ED expressers Aspideretes nigricans Chelus fimbriata Chelodina longicollis Geochelone denticulata Chelodina oblonga Geochelone nigra Chelodina steindacheri Kinixys homeana Chersina angulata Phrynops gibbus Diposochelys dussumieri Rhinoclemmys melanosterna Elseya dentata Rhinoclemmys nasuta Elseya irwini Geochelone carbonaria Geochelone chilensis Originally listed as data Geochelone elegans deficient Geochelone platynota Kinixys erosa Geochelone radiata Kinosternon dunni Geochelone yniphora Phrynops dalhi Hydromedusa maximiliani Phrynops nasutus Hydromedusa tectifera Phrynops raniceps Kinixys belliana Phrynops rufipes Kinixys lobatsiana Kinixys natalensis Kinixys spekii Kinosternon subrubrum Morenia ocellata Morenia petersi Pangshura tecta Pelomedusa subrufa Phrynops williamsi Psammobates geometricus Psammobates oculiferus Psammobates tentorius
111
Appendix B Continued. Calculated probabilities of expressing ED. 69.5% Probability of Expressing ED
Originally listed as probable ED expressers Rhinoclemmys areolata Rhinoclemmys rubida Testudo kleimanni
Originally listed as probably not expressing ED Elseya latisternum Elusor macrurus
Originally listed as data deficient Acanthochelys macrocephala Acanthochelys radiolata Acanthochelys spixii Emydura australis Emydura signata Emydura tanybaraga Emydura victoriae Emydura worrelli Homopus bergeri Homopus boulengeri Homopus femoralis Homopus signatus Kinosternon alamosae Kinosternon creaseri Kinosternon oaxacae Pangshura sylhetensis Phrynops hogeii Phrynops tuberculatus Phrynops zuliae Pyxidea mouhotii Pyxis arachnoides
112
Appendix C. Calculated Probabilities of not expressing ED. The method section in chapter 2 details how species with unknown ED expression were categorized as either highly probable, probable, data deficient, or not probable for ED expression. >96% probability of not expressing ED*
Originally probable ED expression Annamemys (Mauremys) annamensis Chinemys reevesii Scalia bealei Scalia quadriocellata
Originally probably no ED expression Cyclemys dentata
Originally data deficient Chinemys nigricans Cuora aurocapitata Cuora galbinifrons Cuora pani Cuora zhoui Cyclemys tcheponensis Geoemyda silvatica Geoemyda spengleri Heosemys depressa Heosemys (Siebenrockiella) leytensis Heosemys spinosa Mauremys iversoni Mauremys mutica Ocadia sinesis
> 99% Probability of not expressing ED
Originally data deficient Podocnemis lewyana Trachemys adiutrix
* However, Deirochelys reticularia is also in this category, a known ED expresser
113
Appendix D. Tables.
Table 3.1. Summary of Constant Temperature Equivalents (CTE) based on timing of oviposition and timing of developmental event. The mean CTE for ED was significantly different from the mean CTE for morphogenesis (t = -6.68, df = 9, P < 0.001, with CTE MORPH* having higher temperatures.
Part 1. Oviposition Date Period # Days CTE ED 12/16 12/16-3/24 98 20.45 1/19 1/19-3/14 55 20.73 1/29 1/29-3/19 49 21.11 2/5 2/5-3/9 32 20.89 3/3 3/3-4/4 32 21.50 3/16 3/16-4/9 19 21.82 4/24 4/24-5/5 12 22.74
Part 2. Oviposition Date Period # Days CTE MORPH* 12/16 3/24-6/29 97 23.53 1/19 3/14-6/19 98 23.31 1/29 3/19-6/12 86 23.23 2/5 3/9-6/9 82 23.03 3/3 4/7-7/9 93 23.77 3/16 4/9-7/10 92 23.80 4/24 5/5-8/2 89 24.31
* MORPH = morphogenesis
114
Appendix D: continued.
Table 3.2. Percent mortality by stage per month. Sample size changes per month due to deaths and addition of new eggs into the experiment.
Factor Dec Jan Feb Mar Apr May Jun Jul Aug
Total # Eggs 6 46 53 81 110 94 89 77 56
# Deaths During ED/ # in 0/6 0/46 7/53 4/46 17/39 2/11 5/8 3/3 0/0 Stage 0 0 13.2 8.6 43.5 18.1 62.5 100 0 (Mortality %)
# Deaths During MORPH*/ # in 0/0 0/0 0/0 0/35 2/71 1/8 4/81 2/77 0/56 Stage 0 0 0 0 2.8 1.2 4.9 4.9 0.0 (Mortality %)
# Hatch 0 0 0 0 0 0 4 17 56
*MORPH = morphogenesis
115
Appendix D: continued.
Table 4.1. Gravid female body size, clutch size, and hatchlings per clutch.
Female Carapace* Clutch Size* Hatchlings Size of Length (mm) per Clutch** Successful Females (mm)**
Mean 140.7 + 16.1 2.1 + 1.1 1.5 + 0.8 144.9 + 16.9 Range 118.7 - 181.8 1 - 5 1 - 4*** 119.8 - 181.8 Sample Size 64 64 45 45
* Population sample ** Based on production of at least one hatchling *** 21 clutches failed to produce a hatchling
116
Appendix D: continued.
Table 4.2. Morphological associations between egg parameters and hatching success.
Population Egg Parameters* (N = 64)
Length Width Mass Volume Mean 34.1 + 2.1 19.3 + 1.0 8.1 + 1.3 6.7 + 0.5 Range 29.7 - 38.7 17.5 - 21.9 5.9 - 11.6 5.0 - 9.5
Egg Parameters from Eggs that Successfully Hatched* (N = 45)
Length Width Mass Volume Mean 36.8 + 2.1 19.4 + 1.1 8.3 + 1.4 6.9 + 1.0 Range 34.4 - 38.7 17.5 - 21.9 6.1 - 11.6 5.0 - 9.5
Egg length and width reported in (mm), egg wet mass reported in (g), and egg volume reported in (cm3)
* Averaged per clutch
117
Appendix D: continued.
Table 4.3. Relationship between hatching success and egg parameters
Variable DF Deviance Chi-Square P-value All 4 182.72 5.93 0.20 Length 1 180.90 4.12 0.04 Mass 1 177.08 0.29 0.59 Volume 1 179.51 2.72 0.10 Width 1 179.50 2.71 0.10 Model 4 176.79
Model r2 = 0.03, df =5; Actual versus predicted r2 = 0.04; one case deleted due to missing variable
118
Appendix E. Figures
Figure 2.1. Geographic distribution of the ED trait. Geographical bands indicated in yellow are where ED is predominately expressed. The star in Kenya represents the center of the geographic range for the pancake tortoise, Malacocherus tornieri, a known expresser of ED outside the two bands; however, the seasonality of rainfall in east equatorial Africa is conducive to the expression of ED.
119
Appendix E: continued.
Figure 2.2. Phylogenetic tree of extant turtle families with incidences of embryonic diapause rooted with the extinct turtle Proganochelys; modified from Schafer et al., 1997. I used maximum likelihood and the stored MK1 model in Mesquite© (version 1.12) to reconstruct the ancestral state for ED expression. The pie charts represent areas of relative support for the ancestral state, with ED expression in black and lack of expression in white. Asterisks mark nodes with significant support.
120
Appendix E: continued.
Within Range Species N = 201 Species
42, 21%
65, 33% No ED Probably No ED ED Expressed High Probability of ED Possible ED Expression Unknown
50, 25% 7, 4%
1, 1% 32, 16%
Figure 2.3. Frequency of ED expression of turtles within the two broad geographic bands. Within the geographical bands number of turtles that do not express ED can range from 31% - 84%, where as the number of turtles that do express ED can range from 16% - 69%. Currently 53% of turtles within the bands are un-confirmed as either ED expresser of non-ED expressers.
121
Appendix E: continued.
Species Outside of Range N = 74 species
19, 26%
No ED Probably No ED 32, 43% ED Expressed High Probability of ED Possible ED Expression Unknown
13, 18%
2, 3% 7, 9% 1, 1%
Figure 2.4. Frequency of ED expression amongst turtles whose distribution is outside the two broad geographic bands. The number of turtles that do not express ED can range from 44% - 92%, where as the number of turtles that do express ED can range from 8% - 56%. Currently 52% of all turtles outside the geographical bands are un-confirmed with respect to ED expression.
122
Appendix E: continued.
Figure 2.5. Kinosternon phylogeny modified from Iverson, 1991. The ancestral states for ED expression were constructed using maximum likelihood and the stored MK1 model in Mesquite© (version 1.12). Pie charts represent areas of relative support for the ancestral state, with ED expression in black and lack of expression in white. Asterisks mark nodes with significant support. The question mark denotes a node that has insufficient data for analysis. TRI, Staurotypus triporcatus; SAL, Staurotypus salvinii; ANG, Claudius angustatus; CAR, Kinosternon carinatum; DEP, Kinosternon depressum; MIN, Kinosternon minor; ODO, Kinosternon odoratum; AL2, Kinosternon alamosae (population 2, see Iverson, 1991 for more information); ALA, Kinosternon alamosae; HIR, Kinosternon hirtipes; SON, Kinosternon sonoriense; HER, Kinosternon herrerai; INT, Kinosternon integrum; ACU, Kinosternon acutum; SCO, Kinosternon scorpioides; LEU, Kinosternon leucostomum; DUN, Kinosternon dunni; BAU, Kinosternon baurii; SUB, Kinosternon subrubrum; HIP, Kinosternon subrubrum hippocrepis; STE, Kinosternon steindacheri; FLA, Kinosternon flavescens.
123
Appendix E: continued.
Figure 3.1. Latitudinal changes in seasonal precipitation duration and timing, modified from Savage, 2002. Note that Los Tuxtlas, Veracruz, Mexico has a single dry season and a single rainy season that is conducive to the expression of ED. In contrast, Barro Colorado Island (BCI) in the canal zone of central Panama has two dry seasons and two wet seasons per year, which is not conducive to the expression of ED.
124
Appendix E: continued.
Figure 3.2. Ontogenetic model for facultative developmental timing. Six predicted ontogenies for prolonged incubation periods with developmental scenarios based on suitable development times (SDT), embryonic diapause (ED), morphogenesis (M), embryonic aestivation (EA), and hatching and emergence at time 1 (HE1) and time 2 (HE2). Open circles on trajectories represent oviposition and closed circles represent exclusion. In ontogeny 1, oviposition occurs at the onset of the 1° SDT and embryos
125
Appendix E - Figure 3.2: continued
directly enter morphogenesis (Figure 3.1). Embryos hatch and emerge immediately after morphogenesis (hatchling emergence; HE1) or aestivate and emerge in the rainy season (HE2). In ontogeny 2, oviposition during the 1° SDT causes embryos to enter ED because the time remaining in the 1° SDT does not allow sufficient time to complete morphogenesis. Morphogenesis re-starts (reviewed in Booth, 2002) during the 2° SDT and hatchlings emerge at the peak of the dry season (HE1) when wetlands likely are dry or hatching is postponed by aestivation until the onset of the rainy season when wetlands are inundated (HE2). In ontogeny 3, oviposition occurs during the rainy season between the 1° and 2° SDT. Embryos enter a short period of ED and morphogenesis resumes during the 2° SDT. Emergence may occur during the dry season (HE1), or embryos may aestivate and emerge at the beginning of the rainy season (HE2). In ontogeny 4, oviposition occurs between the 1° and 2° SDT, and embryos enter an extended ED (up to ten months) and resume morphogenesis during the 1° SDT. Hatchings emerge after the completion of morphogenesis. In ontogeny 5, oviposition occurs early in the 2° SDT and embryos enter morphogenesis with hatchling emergence at HE1 during the dry season or embryos aestivate until the rainy season (HE2). In ontogeny 6, oviposition during the 2° SDT results in ED expression until the next 1° SDT. Hatchings emerge shortly after morphogenesis. Although ontogeny 6 is the final ontogeny in the model, the nesting season may extend beyond February and into May. However, this does not warrant the creation of a new hypothesized ontogeny, merely a modification of the latter with only a shorter period of ED.
126
Appendix E: continued.
Soil Temperature (ºC) Soil Temperature
Dec Jan Feb Mar Apr May Jun Jul Aug Oct Nov
Figure 3.3. Soil temperature profile from the field experiment. Diamonds represent the constant temperature equivalent for a 90-day incubation period.
127
Appendix E: continued.
35 30
30 Soil Mois ture Soil Temperature 24 Apr
) 25 16 Mar 25 -mPa (
20 13 Mar ) ºC ( 5 Feb 15
29 Jan Soil Temperature(?C) Soil Water Potential (-mPa) Potential Water Soil 20 erature
10 p 19 Jan Soil Water Potential Potential Soil Water 5 16 Dec Soil Tem
0 15 15- 29- 12 2 9-F 23-Feb 8- 2 5-A 19-Apr 3-May 1 31- 14 28 1 26- 9-Aug 23 6- M 2-M 7- 2-J D D -Jan Jan e p M M -Jun -Jun J -Aug b ar a r ul ul Decec ec Jan Feb Mar r Apr Mayay ay Jun Jul Aug
Figure 3.4. Relationships between soil moisture, soil temperature, and seasonal changes in both duration and expression of ED and morphogenesis. Both soil temperature and moisture (represented by the solid and bulleted line) were affected by atmospheric conditions, particularly by rainfall events. However, soil moisture increased prior to the first rainfall events of the rainy season, perhaps due to seasonal increases in relative humidity and due point. Horizontal bars (independent of both y-axes) represent mean time of developmental stage. The stippled bars demark time in ED, the sold light gray bars denote time in morphogenesis, and the dark gray bars represent average time spent in EA. The duration of embryonic diapause decreased seasonally whereas the length of morphogenesis was relatively constant. Dates within the light gray bars indicate the timing of oviposition.
128
Appendix E: continued.
115
y = -0.0659x + 95.799 95
75
Morph Diapause 55 Aestivation
35 Number of Days Spent in Stage of Days Number y = -0.5336x + 64.391 R2 = 0.8107
Number of Days Spent in Stage
15
y = -0.0137x + 1.6256
-5 -2015 Dec 01 Jan 20 20 Jan 9 40 Feb 1 60 Mar 21 80 Mar 10 100 Apr 30 120 Apr Julian Date 0f Oviposition
Figure 3.5. Seasonal trends in length of developmental stage. The number of days, according to season, spent in ED declined rapidly compared to days in morphogenesis (MORPH) and days in AE.
Appendix E: continued. 129
40
Start 35 ED MORPH 30
25
20 Number Number
15
10
5
0 5 Dec 19 Jan 29 Jan 5 Feb 3 Mar 16 Mar 24 Apr
5 Dec 19Jan 29 Jan 5 Feb 3 Mar 16 Mar 24 Apr
Figure 3.6. Survivorship trends based on timing of oviposition. Solid gray columns represent the number of viable embryos in the beginning of each period (Start), diagonally striped columns represent the number of embryos that survived embryonic diapause (ED), and the stippled columns represent the number of embryos that survived morphogenesis (MORPH) and hatched successfully.
130
Appendix E: continued.
1.2
1
0.8
0.6 Survivorship Fraction 0.4 ED MORPH Survivorship Fraction
0.2
0 0 50 100 150 200 50 Days 100 DaysDuration (Days) 150 Days 200 Days
Figure 3.7. Embryonic diapause (ED) and morphogenesis (MORPH) survivorship analysis. Both polynomial trend lines explained a high proportion of the variability in the survivorship fractions. The increased standard error in the later MORPH data points probably is related to small sample size. The equation for the ED survivorship function is y = (-2E-07x3) + (5E-05x2) – (0.0044x) + 1, whereas the equation for the MORPH survivorship function is y = (-2E-07x3) + (4E-05x2) – (0.0023x) + 1.0122.
131
Appendix E: continued.
0.09
0.07
ED MORPH
0.05
0.03 Hazard Function Hazard Fraction Hazard Fraction 0.01
-0.01
-0.03 -5 15 15 35 35 55 55 75 75 95 95 115 115 135 135 155 Duration (days) Duration (days)
Figure 3.8. Embryonic diapause (ED, black diamond) and morphogenesis (MORPH, white box) hazard function analysis. The curvilinear equation (dashed line) for the ED hazard function is y = (5E - 11x5) – (2E-08x4) + (2E-06x3) – (0.0001x2) + (0.0022x) + (0.0064), with r2 = 0.59, whereas the curvilinear equation (solid line) for the MORPH hazard function is y = (9E-11x5) – (3E-08x4) + (4E-06x3) – (0.0002x2) + (0.0023x - 0.0007), with r2 = 0.97.
132
Appendix E: continued.
8 300
7 250
6 Number of Hatchlings Rainfall 200 5
4 150 Rainfall (mm) Rainfall 3
Number of Hatchlings 100
2
50 ) 1 mm (
0 0 12 27 12-May 27-May 1 2 1 2 9 24 9 1-Jun 6-Jun 11 26-Jul 0-A 5-A - - - - - S - O Apr Apr Ju ep Sep ct l u u
g g Rainfall Number of Hatchlings Number of Hatchlings
27-Apr 12- Apr 27- May 11- Jun 26- Jun 11-Jul 26- Jul 10-Aug 25 –Aug 9- Sept 24- Sept 9-Oct
Figure 3.9. Relationship of rainfall with hatchling events. Hatching occurred on average 38.7 + 6 hrs (range 0 - 144 hrs) after a rainfall event. There was a significant relationship between rainfall and hatching (χ2 = 16.83, df = 1, p < 0.001 N = 77). The distribution of hatching events was non-normal, with majority of hatching event occurring early in the rainy season (69 out of 77 (89%) hatched between June 6 and July 19 (46 days)).
133
Appendix E: continued.
Figure 3.10. Modified ontogeny model. The vertical gray bar represents the optimal developmental time. Although untested, the first two ontogenies in Aug and Sept (1 and 2) are included. Twenty-year daily mean air temperature and rainfall data were used as surrogates for soil temperature and moisture content (Estación de Biología Los Tuxtlas, unpublished data, curiosity of Rosamond Coates).
134
Appendix E: continued.
6 5
5 4
4 s Per Clutch
3 g
Clutch Size 3 Hatchlin
Clutch Size 2 2 Hatchlings Per Clutch
1 1
0 Female Carapace Length (mm) 0 125 135 145 155 165 175 Female Carapace Length (mm)
Figure 4.1. Relationship between female size, clutch size, and number of hatchlings per clutch. The open circle represents clutch size, while the closed box denotes hatchlings per female. The dashed line is the trend line for clutch size, while the solid line shows the hatchlings per female regression. Females that laid 1-3 eggs per clutch were significantly smaller than females that laid 4-5 eggs per clutch (t = -4.26, df = 62, Bonferroni adjusted P < 0.001). In addition, there was a significant difference in size between females that hatched only 1-2 individuals per clutch versus females that had 3-4 hatchlings (t = -2.24, df = 41, Bonferroni adjusted P = 0.03; clutch size: y = 0.03x – 1.86, 2 2 r = 0.17, F1,62 = 12.72, P < 0.001; hatchlings per female: y = 0.01x -0.18, r = 0.06, F1,41 = 2.57, P = 0.12).
135
Appendix E: continued.
42 12
11 37 10
32 9
8 27
Egg Mass (grams) Egg Mass (grams) 7 Egg Mass (grams) Mass Egg 22 6 Egg Length and Width (mm) and Width Length Egg
5 17 4 egglng eggwd eggmass
12 3 110 120 130 140 150 160 170 180 190 Female Carapace Length (mm)
Figure 4.2. Relationship of female carapace length to egg parameters. Egg length increased more rapidly than egg width as female carapace length increased. However, egg wet mass was the most responsive to changes in female carapace length. The solid line is the relationship egg length, the dash-dot-dot line is the relationship for egg mass, and the dash-dash line is the relationship for egg width (Egg length: y = 0.05x + 27.12, r2 = 0.15; Egg Width: y = 0.03x + 15.69, r2 = 0.12; Egg Mass: y = 0.04x + 1.89, r2 = 0.27).
136
Appendix E: continued.
12
11
10
9
8
7 Mean Per Clutch Egg Wet Mass Grams Mass Wet Egg Clutch Per Mean
6
5
Mean Per Clutch Egg Wet Mass (grams) Mass (grams) Mean Per Clutch Egg Wet 0123456 Clutch Size Clutch Size
Figure 4.3. Relationship of clutch size to mean per clutch egg wet mass (grams). Mean egg wet mass increased as additional eggs were added to the clutch size for clutches ranging from 1 to 4 eggs (y = 0.36x + 7.30, r2 = 0.09).