Bull Trout Recovery Planning: a Review of the Science Associated with Population Structure and Size
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A Metapopulation Model with Discrete Size Structure
A METAPOPULATION MODEL WITH DISCRETE SIZE STRUCTURE MAIA MARTCHEVA¤ AND HORST R. THIEME¦ Abstract. We consider a discrete size-structured metapopulation mo- del with the proportions of patches occupied by n individuals as de- pendent variables. Adults are territorial and stay on a certain patch. The juveniles may emigrate to enter a dispersers' pool from which they can settle on another patch and become adults. Absence of coloniza- tion and absence of emigration lead to extinction of the metapopulation. We de¯ne the basic reproduction number R0 of the metapopulation as a measure for its strength of persistence. The metapopulation is uniformly weakly persistent if R0 > 1. We identify subcritical bifurcation of per- sistence equilibria from the extinction equilibrium as a source of multiple persistence equilibria: it occurs, e.g., when the immigration rate (into occupied pathes) exceeds the colonization rate (of empty patches). We determine that the persistence-optimal dispersal strategy which maxi- mizes the basic reproduction number is of bang-bang type: If the number of adults on a patch is below carrying capacity all the juveniles should stay, if it is above the carrying capacity all the juveniles should leave. 1. Introduction A metapopulation is a group of populations of the same species which occupy separate areas (patches) and are connected by dispersal. Each sep- arate population in the metapopulation is referred to as a local population. Metapopulations occur naturally or by human activity as a result of habitat loss and fragmentation. An overview of the empirical evidence for the exis- tence of metapopulation dynamics can be found in [31]. -
Effective Population Size and Genetic Conservation Criteria for Bull Trout
North American Journal of Fisheries Management 21:756±764, 2001 q Copyright by the American Fisheries Society 2001 Effective Population Size and Genetic Conservation Criteria for Bull Trout B. E. RIEMAN* U.S. Department of Agriculture Forest Service, Rocky Mountain Research Station, 316 East Myrtle, Boise, Idaho 83702, USA F. W. A LLENDORF Division of Biological Sciences, University of Montana, Missoula, Montana 59812, USA Abstract.ÐEffective population size (Ne) is an important concept in the management of threatened species like bull trout Salvelinus con¯uentus. General guidelines suggest that effective population sizes of 50 or 500 are essential to minimize inbreeding effects or maintain adaptive genetic variation, respectively. Although Ne strongly depends on census population size, it also depends on demographic and life history characteristics that complicate any estimates. This is an especially dif®cult problem for species like bull trout, which have overlapping generations; biologists may monitor annual population number but lack more detailed information on demographic population structure or life history. We used a generalized, age-structured simulation model to relate Ne to adult numbers under a range of life histories and other conditions characteristic of bull trout populations. Effective population size varied strongly with the effects of the demographic and environmental variation included in our simulations. Our most realistic estimates of Ne were between about 0.5 and 1.0 times the mean number of adults spawning annually. We conclude that cautious long-term management goals for bull trout populations should include an average of at least 1,000 adults spawning each year. Where local populations are too small, managers should seek to conserve a collection of interconnected populations that is at least large enough in total to meet this minimum. -
Pliocene Origin, Ice Ages and Postglacial Population Expansion Have Influenced a Panmictic Phylogeography of the European Bee-Eater Merops Apiaster
diversity Article Pliocene Origin, Ice Ages and Postglacial Population Expansion Have Influenced a Panmictic Phylogeography of the European Bee-Eater Merops apiaster Carina Carneiro de Melo Moura 1,*, Hans-Valentin Bastian 2 , Anita Bastian 2, Erjia Wang 1, Xiaojuan Wang 1 and Michael Wink 1,* 1 Department of Biology, Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, 69120 Heidelberg, Germany; [email protected] (E.W.); [email protected] (X.W.) 2 Bee-Eater Study Group of the DO-G, Geschwister-Scholl-Str. 15, 67304 Kerzenheim, Germany; [email protected] (H.V.B.); [email protected] (A.B.) * Correspondence: [email protected] (C.C.d.M.M.); [email protected] (M.W.) Received: 20 August 2018; Accepted: 26 December 2018; Published: 15 January 2019 Abstract: Oscillations of periods with low and high temperatures during the Quaternary in the northern hemisphere have influenced the genetic composition of birds of the Palearctic. During the last glaciation, ending about 12,000 years ago, a wide area of the northern Palearctic was under lasting ice and, consequently, breeding sites for most bird species were not available. At the same time, a high diversity of habitats was accessible in the subtropical and tropical zones providing breeding grounds and refugia for birds. As a result of long-term climatic oscillations, the migration systems of birds developed. When populations of birds concentrated in refugia during ice ages, genetic differentiation and gene flow between populations from distinct areas was favored. In the present study, we explored the current genetic status of populations of the migratory European bee-eater. -
Life History Evolution in Response to Changes in Metapopulation
bioRxiv preprint doi: https://doi.org/10.1101/021683; this version posted October 9, 2015. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Life history evolution in response to changes in metapopulation 2 structure in an arthropod herbivore 3 4 Authors: De Roissart A1, Wybouw N2,3, Renault D 4, Van Leeuwen T2, 3 & Bonte D1,* 5 6 Affiliations: 7 1 Ghent University, Dep. Biology, Terrestrial Ecology Unit, K.L. Ledeganckstraat 35, B-9000 8 Ghent, Belgium 9 2 Ghent University, Dep. Crop Protection, Laboratory of Agrozoology, Coupure Links 653, B- 10 9000 Ghent, Belgium 11 3 University of Amsterdam, Institute for Biodiversity and Ecosystem Dynamics, Science Park 12 904, 1098 XH Amsterdam, the Netherlands 13 4 Université de Rennes 1, UMR 6553 ECOBIO CNRS, Avenue du Gal Leclerc 263, CS 74205, 14 35042 Rennes Cedex, France 15 16 17 *Corresponding author: Dries Bonte, Ghent University, Dep. Biology, Terrestrial Ecology 18 Unit, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium. Email: [email protected]; tel: 19 0032 9 264 52 13; fax: 0032 9 264 87 94 20 21 E-mail address of the co-authors:[email protected]; [email protected]; 22 [email protected]; [email protected]; [email protected] 23 24 Manuscript type: Standard paper 25 26 Running title: Metapopulation structure and life history evolution 27 28 Key-words: metapopulation-level selection, stochasticity, Tetranychus urticae 29 30 1 bioRxiv preprint doi: https://doi.org/10.1101/021683; this version posted October 9, 2015. -
6 Metapopulations of Butterflies
Case Studies in Ecology and Evolution DRAFT 6 Metapopulations of Butterflies Butterflies inhabit an unpredictable world. Consider the checkerspot butterfly, Melitaea cinxia, also known as the Glanville Fritillary. They depend on specific host plants for larval development. The population size is buffeted by the vagaries of weather, availability of suitable host plants, and random demographic stochasticity in the small patches. The result is that local populations often go extinct when the host plants fail, or when larvae are unable to complete development before the winter. But butterflies also have wings. Even though the checkerspots are not particularly strong flyers (they move a maximum of a couple of kilometers and most individuals remain in their natal patch), butterflies occasionally move from one patch to another. Empty patches are eventually recolonized. So, over a regional scale the total number of butterflies remains nearly constant, despite the constant turnover of local populations. Professor Ilkka Hanski and his students in Finland have been studying the patterns of extinction and recolonization of habitat patches by the checkerspot butterflies for two decades on the small island of Åland in southwestern Finland. The butterflies on Åland can be described as a “metapopulation”, or “population of populations”, connected by migration. In the original formulation by Richard Levins, he imagined a case where each population was short-lived, and the persistence of the system depended on the re-colonization of empty patches by immigrants from other nearby source populations. Thus colonizations and extinctions operate in a dynamic balance that can maintain a species in the landscape of interconnected patches indefinitely. -
Panmixia of European Eel in the Sargasso Sea
Molecular Ecology (2011) doi: 10.1111/j.1365-294X.2011.05011.x FROM THE COVER All roads lead to home: panmixia of European eel in the Sargasso Sea THOMAS D. ALS,*1 MICHAEL M. HANSEN,‡1 GREGORY E. MAES,§ MARTIN CASTONGUAY,– LASSE RIEMANN,**2 KIM AARESTRUP,* PETER MUNK,†† HENRIK SPARHOLT,§§ REINHOLD HANEL–– and LOUIS BERNATCHEZ*** *National Institute of Aquatic Resources, Technical University of Denmark, Vejlsøvej 39, DK-8600 Silkeborg, Denmark, ‡Department of Biological Sciences, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark, §Laboratory of Animal Diversity and Systematics, Katholieke Universiteit Leuven, B-3000, Leuven, Belgium, –Institut Maurice-Lamontagne, Fisheries and Oceans Canada, PO Box 1000 Mont-Joli, QC G5H 3Z4, Canada, **Department of Natural Sciences, Linnaeus University, SE-39182 Kalmar, Sweden, ††National Institute of Aquatic Resources, Technical University of Denmark, DK-2920 Charlottenlund, Denmark, §§International Council for Exploration of the Sea, DK-1553 Copenhagen, Denmark, ––Institute of Fisheries Ecology, Johann Heinrich von Thu¨nen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries, Palmaille 9, 22767 Hamburg, Germany, ***De´partement de Biologie, Institut de Biologie Inte´grative et des Syste`mes (IBIS), Pavillon Charles-Euge`ne-Marchand, 1030, Avenue de la Me´decine, Universite´ Laval, QC G1V 0A6, Canada Abstract European eels (Anguilla anguilla) spawn in the remote Sargasso Sea in partial sympatry with American eels (Anguilla rostrata), and juveniles are transported more than 5000 km back to the European and North African coasts. The two species have been regarded as classic textbook examples of panmixia, each comprising a single, randomly mating population. However, several recent studies based on continental samples have found subtle, but significant, genetic differentiation, interpreted as geographical or temporal heterogeneity between samples. -
Metapopulations and Metacommunities: Combining Spatial and Temporal Perspectives in Plant Ecology
Journal of Ecology 2012, 100, 88–103 doi: 10.1111/j.1365-2745.2011.01917.x CENTENARY SYMPOSIUM SPECIAL FEATURE Metapopulations and metacommunities: combining spatial and temporal perspectives in plant ecology Helen M. Alexander1*, Bryan L. Foster1, Ford Ballantyne IV2, Cathy D. Collins3, Janis Antonovics4 and Robert D. Holt5 1Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045-7534, USA; 2Department of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Lawrence, KS 66045-7534, USA; 3Department of Biology, Colby College, Waterville, ME 04901-8840, USA; 4Department of Biology, University of Virginia, Charlottesville, VA 22904, USA; and 5Department of Biology, University of Florida, 223 Bartram Hall, P.O. Box 118525, Gainesville, FL 32611-8525, USA Summary 1. Metapopulation and metacommunity theories occupy a central role in ecology, but can be diffi- cult to apply to plants. Challenges include whether seed dispersal is sufficient for population connec- tivity, the role of seed banks and problems with studying colonization and extinction in long-lived and clonal plants. Further, populations often do not occupy discrete habitat patches. Despite these difficulties, we present case studies to illustrate explicit integration of spatial and temporal data in plant ecology. 2. First, on the population level, we focused on two early successional species that lack discrete hab- itat patches. Multi-year data sets taken with a grid approach and simple models permit the analysis of landscape dynamics that reflect regional as well as local processes. Using Silene latifolia,we examined colonization. We found evidence for seed dispersal and connectivity among populations across a large landscape. -
Patch Dynamics and Metapopulation Theory: the Case of Successional Species
Journal of Theoretical Biology (2001) 209 (3): 333-344. http://dx.doi.org/10.1006/jtbi.2001.2269 Patch Dynamics and Metapopulation Theory: The Case of Successional Species a a,b Priyanga Amarasekare and Hugh Possingham a National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, 735 State Street, Suite 300, Santa Barbara, CA, 93101-5504, U.S.A. b Departments of Zoology and Mathematics, The University of Queensland, St Lucia, QLD 4072, Australia Abstract We present a mathematical framework that combines extinction–colonization dynamics with the dynamics of patch succession. We draw an analogy between the epidemiological categorization of individuals (infected, susceptible, latent and resistant) and the patch structure of a spatially heterogeneous landscape (occupied–suitable, empty–suitable, occupied–unsuitable and empty– unsuitable). This approach allows one to consider life-history attributes that influence persistence in patchy environments (e.g., longevity, colonization ability) in concert with extrinsic processes (e.g., disturbances, succession) that lead to spatial heterogeneity in patch suitability. It also allows the incorporation of seed banks and other dormant life forms, thus broadening patch occupancy dynamics to include sink habitats. We use the model to investigate how equilibrium patch occupancy is influenced by four critical parameters: colonization rate, extinction rate, disturbance frequency and the rate of habitat succession. This analysis leads to general predictions about how the temporal scaling of patch succession and extinction–colonization dynamics influences long- term persistence. We apply the model to herbaceous, early-successional species that inhabit open patches created by periodic disturbances. We predict the minimum disturbance frequency required for viable management of such species in the Florida scrub ecosystem. -
Testing Local-Scale Panmixia Provides Insights Into the Cryptic Ecology, Evolution, and Epidemiology of Metazoan Animal Parasites
981 REVIEW ARTICLE Testing local-scale panmixia provides insights into the cryptic ecology, evolution, and epidemiology of metazoan animal parasites MARY J. GORTON†,EMILYL.KASL†, JILLIAN T. DETWILER† and CHARLES D. CRISCIONE* Department of Biology, Texas A&M University, 3258 TAMU, College Station, TX 77843, USA (Received 14 December 2011; revised 15 February 2012; accepted 16 February 2012; first published online 4 April 2012) SUMMARY When every individual has an equal chance of mating with other individuals, the population is classified as panmictic. Amongst metazoan parasites of animals, local-scale panmixia can be disrupted due to not only non-random mating, but also non-random transmission among individual hosts of a single host population or non-random transmission among sympatric host species. Population genetics theory and analyses can be used to test the null hypothesis of panmixia and thus, allow one to draw inferences about parasite population dynamics that are difficult to observe directly. We provide an outline that addresses 3 tiered questions when testing parasite panmixia on local scales: is there greater than 1 parasite population/ species, is there genetic subdivision amongst infrapopulations within a host population, and is there asexual reproduction or a non-random mating system? In this review, we highlight the evolutionary significance of non-panmixia on local scales and the genetic patterns that have been used to identify the different factors that may cause or explain deviations from panmixia on a local scale. We also discuss how tests of local-scale panmixia can provide a means to infer parasite population dynamics and epidemiology of medically relevant parasites. -
On the Principle of Competitive Exclusion in Metapopulation Models
Appl. Math. Inf. Sci. 9, No. 4, 1739-1752 (2015) 1739 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/090411 On the Principle of Competitive Exclusion in Metapopulation Models Davide Belocchio, Roberto Cavoretto, Giacomo Gimmelli, Alessandro Marchino and Ezio Venturino∗ Dipartimento di Matematica “Giuseppe Peano”, Universita di Torino, via Carlo Alberto 10, 10123 Torino, Italy Received: 12 Oct. 2014, Revised: 12 Jan. 2015, Accepted: 13 Jan. 2015 Published online: 1 Jul. 2015 Abstract: In this paper we present and analyse a simple two populations model with migrations among two different environments. The populations interact by competing for resources. Equilibria are investigated. A proof for the boundedness of the populations is provided. A kind of competitive exclusion principle for metapopulation systems is obtained. At the same time we show that the competitive exclusion principle at the local patch level may be prevented to hold by the migration phenomenon, i.e. two competing populations may coexist, provided that only one of them is allowed to freely move or that migrations for both occur just in one direction. Keywords: populations, competition, migrations, patches, competitive exclusion 1 Introduction metapopulation concept becomes essential to describe the natural interactions. This paper attempts the development In this paper we consider a minimal metapopulation of such an issue in this framework. Note that another model with two competing populations. It consists of two recent contribution in the context of patchy environments different environments among which migrations are considers also a transmissible disease affecting the allowed. populations, thereby introducing the concept of As migrations do occur indeed in nature, [6], the metaecoepidemic models, [30]. -
Environmental Correlates of Genetic Variation in the Invasive and Largely Panmictic
bioRxiv preprint doi: https://doi.org/10.1101/643858; this version posted August 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Hofmeister 1 1 Environmental correlates of genetic variation in the invasive and largely panmictic 2 European starling in North America 3 4 Running title: Starling genotype-environment associations 5 6 Natalie R. Hofmeister1,2*, Scott J. Werner3, and Irby J. Lovette1,2 7 8 1 Department of Ecology and Evolutionary Biology, Cornell University, 215 Tower Road, 9 Ithaca, NY 14853 10 2 Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Cornell University, 159 11 Sapsucker Woods Road, Ithaca, NY 14850 12 3 United States Department of Agriculture, Animal and Plant Health Inspection Service, 13 Wildlife Services, National Wildlife Research Center, 4101 LaPorte Avenue, Fort Collins, CO 14 80521 15 *corresponding author: [email protected] 16 17 ABSTRACT 18 Populations of invasive species that colonize and spread in novel environments may 19 differentiate both through demographic processes and local selection. European starlings 20 (Sturnus vulgaris) were introduced to New York in 1890 and subsequently spread 21 throughout North America, becoming one of the most widespread and numerous bird 22 species on the continent. Genome-wide comparisons across starling individuals and 23 populations can identify demographic and/or selective factors that facilitated this rapid bioRxiv preprint doi: https://doi.org/10.1101/643858; this version posted August 13, 2020. -
Nf(N) , Lecture 8. Spatially-Structured Populations. Reading: Go
FW662 Lecture 8 – Spatially-structured populations 1 Lecture 8. Spatially-structured populations. Reading: Gotelli, 2001, A Primer of Ecology, Chapter 4, pages 81-97. Hanski, I. 1996. Metapopulation ecology. Pages 13-43 in Rhodes, O. E., Jr., R. K. Chesser, and M. H. Smith (eds.). Population dynamics in ecological space and time. University Chicago Press, Chicago, Illinois, USA. Pulliam, H. R. 1996. Sources and sinks: empirical evidence and population consequences. Pages 45-69 in Rhodes, O. E., Jr., R. K. Chesser, and M. H. Smith (eds.). Population dynamics in ecological space and time. University Chicago Press, Chicago, Illinois, USA. Optional: Gilpin, M. E. 1987. Spatial structure and population vulnerability. Pages 125-139 in M. E. Soulé, ed. Viable Populations for Conservation. Cambridge University Press, New York, New York, USA. 189 pp. Kareiva, P. 1990. Population dynamics in spatially complex environments: theory and data. Pages 53-68 in Population Regulation and Dynamics, M. P. Hassell and R. M. May, eds. The Royal Society, London, United Kingdom. Traditional View of Populations Panmictic -- no selective mating. Frequency of genes in the population follows Hardy- Weinberg equilibrium. Equilibrium -- population reaches a carrying capacity. Extinction dependent on N. Homogeneous environment/habitat -- no spatial heterogeneity. Individuals equal (no heterogeneity of individuals). We have relaxed some of these assumptions in previous models: stochastic models, age- structured models. However, basically, previous models have been "traditional". Difficulty of incorporating spatial extension into population models Difficult to keep track of locations of organisms in field studies Computational problems of dealing with space in a theoretical manner are formidable, requiring computer models Spatial patterns in populations Traditional approach is a diffusion equation.