Trade-Off Between R-Selection and K-Selection in Drosophila Populations (Population Dynamics/Density-Dependent Selection/Evolution/Drosophila Melanogaster) LAURENCE D
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Biogeography, Community Structure and Biological Habitat Types of Subtidal Reefs on the South Island West Coast, New Zealand
Biogeography, community structure and biological habitat types of subtidal reefs on the South Island West Coast, New Zealand SCIENCE FOR CONSERVATION 281 Biogeography, community structure and biological habitat types of subtidal reefs on the South Island West Coast, New Zealand Nick T. Shears SCIENCE FOR CONSERVATION 281 Published by Science & Technical Publishing Department of Conservation PO Box 10420, The Terrace Wellington 6143, New Zealand Cover: Shallow mixed turfing algal assemblage near Moeraki River, South Westland (2 m depth). Dominant species include Plocamium spp. (yellow-red), Echinothamnium sp. (dark brown), Lophurella hookeriana (green), and Glossophora kunthii (top right). Photo: N.T. Shears Science for Conservation is a scientific monograph series presenting research funded by New Zealand Department of Conservation (DOC). Manuscripts are internally and externally peer-reviewed; resulting publications are considered part of the formal international scientific literature. Individual copies are printed, and are also available from the departmental website in pdf form. Titles are listed in our catalogue on the website, refer www.doc.govt.nz under Publications, then Science & technical. © Copyright December 2007, New Zealand Department of Conservation ISSN 1173–2946 (hardcopy) ISSN 1177–9241 (web PDF) ISBN 978–0–478–14354–6 (hardcopy) ISBN 978–0–478–14355–3 (web PDF) This report was prepared for publication by Science & Technical Publishing; editing and layout by Lynette Clelland. Publication was approved by the Chief Scientist (Research, Development & Improvement Division), Department of Conservation, Wellington, New Zealand. In the interest of forest conservation, we support paperless electronic publishing. When printing, recycled paper is used wherever possible. CONTENTS Abstract 5 1. Introduction 6 2. -
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. -
Routledge Handbook of Ecological and Environmental Restoration the Principles of Restoration Ecology at Population Scales
This article was downloaded by: 10.3.98.104 On: 26 Sep 2021 Access details: subscription number Publisher: Routledge Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: 5 Howick Place, London SW1P 1WG, UK Routledge Handbook of Ecological and Environmental Restoration Stuart K. Allison, Stephen D. Murphy The Principles of Restoration Ecology at Population Scales Publication details https://www.routledgehandbooks.com/doi/10.4324/9781315685977.ch3 Stephen D. Murphy, Michael J. McTavish, Heather A. Cray Published online on: 23 May 2017 How to cite :- Stephen D. Murphy, Michael J. McTavish, Heather A. Cray. 23 May 2017, The Principles of Restoration Ecology at Population Scales from: Routledge Handbook of Ecological and Environmental Restoration Routledge Accessed on: 26 Sep 2021 https://www.routledgehandbooks.com/doi/10.4324/9781315685977.ch3 PLEASE SCROLL DOWN FOR DOCUMENT Full terms and conditions of use: https://www.routledgehandbooks.com/legal-notices/terms This Document PDF may be used for research, teaching and private study purposes. Any substantial or systematic reproductions, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The publisher shall not be liable for an loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. 3 THE PRINCIPLES OF RESTORATION ECOLOGY AT POPULATION SCALES Stephen D. -
Predators As Agents of Selection and Diversification
diversity Review Predators as Agents of Selection and Diversification Jerald B. Johnson * and Mark C. Belk Evolutionary Ecology Laboratories, Department of Biology, Brigham Young University, Provo, UT 84602, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-801-422-4502 Received: 6 October 2020; Accepted: 29 October 2020; Published: 31 October 2020 Abstract: Predation is ubiquitous in nature and can be an important component of both ecological and evolutionary interactions. One of the most striking features of predators is how often they cause evolutionary diversification in natural systems. Here, we review several ways that this can occur, exploring empirical evidence and suggesting promising areas for future work. We also introduce several papers recently accepted in Diversity that demonstrate just how important and varied predation can be as an agent of natural selection. We conclude that there is still much to be done in this field, especially in areas where multiple predator species prey upon common prey, in certain taxonomic groups where we still know very little, and in an overall effort to actually quantify mortality rates and the strength of natural selection in the wild. Keywords: adaptation; mortality rates; natural selection; predation; prey 1. Introduction In the history of life, a key evolutionary innovation was the ability of some organisms to acquire energy and nutrients by killing and consuming other organisms [1–3]. This phenomenon of predation has evolved independently, multiple times across all known major lineages of life, both extinct and extant [1,2,4]. Quite simply, predators are ubiquitous agents of natural selection. Not surprisingly, prey species have evolved a variety of traits to avoid predation, including traits to avoid detection [4–6], to escape from predators [4,7], to withstand harm from attack [4], to deter predators [4,8], and to confuse or deceive predators [4,8]. -
Read Evolutionary Ecology
Evolutionary Ecology Eric R. Pianka For this generation who must confront the shortsightness of their ancestors Citation Classic, Book Review Sixth Edition out of print but available used Seventh Edition - eBook available from Google Read On Line Here (use Safari --(other browsers may not work): Chapter 1 - Background Definitions and Groundwork, anthropocentrism, the importance of wild organisms in pristine natural environments, scaling and the hierarchical structure of biology, levels of approach in biology, domain of ecology, the scientific method, models, simple versus multiple causality, environment, limiting factors, tolerance limits, the principle of allocation, natural selection, self-replicating molecular assemblages, levels of selection, the urgency of basic ecological research Chapter 2 - Classical Biogeography Self-replicating molecular assemblages, geological past, classical biogeography, plate tectonics and continental drift Chapter 3 - Meteorology Major determinants of climate, local perturbations, variations in time and space, global weather modification Chapter 4 - Climate and Vegetation Plant life forms and biomes, microclimate, primary production and evapotranspiration, soil formation and primary succession, ecotones, classification of natural communities, interface between climate and vegetation, aquatic systems Chapter 5 - Resource Acquisition and Allocation Limiting factors, physiological optima and tolerance curves, energetics of metabolism and movement, resource and energy budgets, the principle of allocation, leaf -
Evolutionary Restoration Ecology
ch06 2/9/06 12:45 PM Page 113 189686 / Island Press / Falk Chapter 6 Evolutionary Restoration Ecology Craig A. Stockwell, Michael T. Kinnison, and Andrew P. Hendry Restoration Ecology and Evolutionary Process Restoration activities have increased dramatically in recent years, creating evolutionary chal- lenges and opportunities. Though restoration has favored a strong focus on the role of habi- tat, concerns surrounding the evolutionary ecology of populations are increasing. In this con- text, previous researchers have considered the importance of preserving extant diversity and maintaining future evolutionary potential (Montalvo et al. 1997; Lesica and Allendorf 1999), but they have usually ignored the prospect of ongoing evolution in real time. However, such contemporary evolution (changes occurring over one to a few hundred generations) appears to be relatively common in nature (Stockwell and Weeks 1999; Bone and Farres 2001; Kin- nison and Hendry 2001; Reznick and Ghalambor 2001; Ashley et al. 2003; Stockwell et al. 2003). Moreover, it is often associated with situations that may prevail in restoration projects, namely the presence of introduced populations and other anthropogenic disturbances (Stockwell and Weeks 1999; Bone and Farres 2001; Reznick and Ghalambor 2001) (Table 6.1). Any restoration program may thus entail consideration of evolution in the past, present, and future. Restoration efforts often involve dramatic and rapid shifts in habitat that may even lead to different ecological states (such as altered fire regimes) (Suding et al. 2003). Genetic variants that evolved within historically different evolutionary contexts (the past) may thus be pitted against novel and mismatched current conditions (the present). The degree of this mismatch should then determine the pattern and strength of selection acting on trait variation in such populations (Box 6.1; Figure 6.1). -
Niche Evolution Evolutionary Biology Oxford Bibliographies
8/23/2016 Niche Evolution Evolutionary Biology Oxford Bibliographies Niche Evolution Alex Pyron LAST MODIFIED: 26 MAY 2016 DOI: 10.1093/OBO/97801999417280075 Introduction The evolution of species’ niches is a process that is fundamental to investigations in numerous fields of biology, including speciation, community assembly, and longterm regional and global diversification processes. It forms the nexus between ecological and evolutionary questions. Topics as diverse as ecological speciation, niche conservatism, species coexistence, and historical biogeography all rely on interpreting patterns and drivers of species’ niches through time and across landscapes. Despite this importance, a distinct research agenda concerning niche evolution as a discrete topic of inquiry has yet to emerge. Niche evolution is often considered as a sidebar or of secondary importance when addressing questions such as “how did two species diverge?” Basic questions such as “what is a niche,” “what is the biological basis of niche evolution,” “at what scale should we evaluate niche evolution,” and “how can we observe niche evolution at different timescales” have rarely been addressed directly, or not at all in some systems. However, various intellectual threads connecting these ideas are evident in a number of recent and historical publications, giving some semblance of form to a framework for interpreting and evaluating niche evolution, and outlining major areas for future research from an evolutionary perspective. There is a reverse perspective from the macroecological scale as well, with questions involving coexistence, distributions and ranges, food webs, and other organismal attributes. General Overview Niche evolution has rarely, if ever, been addressed in depth as a standalone topic. -
The Political Biogeography of Migratory Marine Predators
1 The political biogeography of migratory marine predators 2 Authors: Autumn-Lynn Harrison1, 2*, Daniel P. Costa1, Arliss J. Winship3,4, Scott R. Benson5,6, 3 Steven J. Bograd7, Michelle Antolos1, Aaron B. Carlisle8,9, Heidi Dewar10, Peter H. Dutton11, Sal 4 J. Jorgensen12, Suzanne Kohin10, Bruce R. Mate13, Patrick W. Robinson1, Kurt M. Schaefer14, 5 Scott A. Shaffer15, George L. Shillinger16,17,8, Samantha E. Simmons18, Kevin C. Weng19, 6 Kristina M. Gjerde20, Barbara A. Block8 7 1University of California, Santa Cruz, Department of Ecology & Evolutionary Biology, Long 8 Marine Laboratory, Santa Cruz, California 95060, USA. 9 2 Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, 10 Washington, D.C. 20008, USA. 11 3NOAA/NOS/NCCOS/Marine Spatial Ecology Division/Biogeography Branch, 1305 East 12 West Highway, Silver Spring, Maryland, 20910, USA. 13 4CSS Inc., 10301 Democracy Lane, Suite 300, Fairfax, VA 22030, USA. 14 5Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine 15 Fisheries Service, National Oceanic and Atmospheric Administration, Moss Landing, 16 California 95039, USA. 17 6Moss Landing Marine Laboratories, Moss Landing, CA 95039 USA 18 7Environmental Research Division, Southwest Fisheries Science Center, National Marine 19 Fisheries Service, National Oceanic and Atmospheric Administration, 99 Pacific Street, 20 Monterey, California 93940, USA. 21 8Hopkins Marine Station, Department of Biology, Stanford University, 120 Oceanview 22 Boulevard, Pacific Grove, California 93950 USA. 23 9University of Delaware, School of Marine Science and Policy, 700 Pilottown Rd, Lewes, 24 Delaware, 19958 USA. 25 10Fisheries Resources Division, Southwest Fisheries Science Center, National Marine 26 Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, CA 92037, 27 USA. -
Genetic Diversity, Population Structure, and Effective Population Size in Two Yellow Bat Species in South Texas
Genetic diversity, population structure, and effective population size in two yellow bat species in south Texas Austin S. Chipps1, Amanda M. Hale1, Sara P. Weaver2,3 and Dean A. Williams1 1 Department of Biology, Texas Christian University, Fort Worth, TX, United States of America 2 Biology Department, Texas State University, San Marcos, TX, United States of America 3 Bowman Consulting Group, San Marcos, TX, United States of America ABSTRACT There are increasing concerns regarding bat mortality at wind energy facilities, especially as installed capacity continues to grow. In North America, wind energy development has recently expanded into the Lower Rio Grande Valley in south Texas where bat species had not previously been exposed to wind turbines. Our study sought to characterize genetic diversity, population structure, and effective population size in Dasypterus ega and D. intermedius, two tree-roosting yellow bats native to this region and for which little is known about their population biology and seasonal movements. There was no evidence of population substructure in either species. Genetic diversity at mitochondrial and microsatellite loci was lower in these yellow bat taxa than in previously studied migratory tree bat species in North America, which may be due to the non-migratory nature of these species at our study site, the fact that our study site is located at a geographic range end for both taxa, and possibly weak ascertainment bias at microsatellite loci. Historical effective population size (NEF) was large for both species, while current estimates of Ne had upper 95% confidence limits that encompassed infinity. We found evidence of strong mitochondrial differentiation between the two putative subspecies of D. -
Multilocus Estimation of Divergence Times and Ancestral Effective Population Sizes of Oryza Species and Implications for the Rapid Diversification of the Genus
Research Multilocus estimation of divergence times and ancestral effective population sizes of Oryza species and implications for the rapid diversification of the genus Xin-Hui Zou1, Ziheng Yang2,3, Jeff J. Doyle4 and Song Ge1 1State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; 2Center for Computational and Evolutionary Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China; 3Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK; 4Department of Plant Biology, Cornell University, 412 Mann Library Building, Ithaca, NY 14853, USA Summary Author for correspondence: Despite substantial investigations into Oryza phylogeny and evolution, reliable estimates of Song Ge the divergence times and ancestral effective population sizes of major lineages in Oryza are Tel: +86 10 62836097 challenging. Email: [email protected] We sampled sequences of 106 single-copy nuclear genes from all six diploid genomes of Received: 2 January 2013 Oryza to investigate the divergence times through extensive relaxed molecular clock analyses Accepted: 8 February 2013 and estimated the ancestral effective population sizes using maximum likelihood and Bayesian methods. New Phytologist (2013) 198: 1155–1164 We estimated that Oryza originated in the middle Miocene (c.13–15 million years ago; doi: 10.1111/nph.12230 Ma) and obtained an explicit time frame for two rapid diversifications in this genus. The first diversification involving the extant F-/G-genomes and possibly the extinct H-/J-/K-genomes Key words: divergence time, Oryza, popula- occurred in the middle Miocene immediately after (within < 1 Myr) the origin of Oryza. -
Population Biology & Life Tables
EXERCISE 3 Population Biology: Life Tables & Theoretical Populations The purpose of this lab is to introduce the basic principles of population biology and to allow you to manipulate and explore a few of the most common equations using some simple Mathcad© wooksheets. A good introduction of this subject can be found in a general biology text book such as Campbell (1996), while a more complete discussion of pop- ulation biology can be found in an ecology text (e.g., Begon et al. 1990) or in one of the references listed at the end of this exercise. Exercise Objectives: After you have completed this lab, you should be able to: 1. Give deÞnitions of the terms in bold type. 2. Estimate population size from capture-recapture data. 3. Compare the following sets of terms: semelparous vs. iteroparous life cycles, cohort vs. static life tables, Type I vs. II vs. III survivorship curves, density dependent vs. density independent population growth, discrete vs. continuous breeding seasons, divergent vs. dampening oscillation cycles, and time lag vs. generation time in population models. 4. Calculate lx, dx, qx, R0, Tc, and ex; and estimate r from life table data. 5. Choose the appropriate theoretical model for predicting growth of a given population. 6. Calculate population size at a particular time (Nt+1) when given its size one time unit previous (Nt) and the corre- sponding variables (e.g., r, K, T, and/or L) of the appropriate model. 7. Understand how r, K, T, and L affect population growth. Population Size A population is a localized group of individuals of the same species. -
Dr. Michael L. Rosenzweig the Man the Scientist the Legend
BIOL 7083 Community Ecologist Presentation Dr. Michael L. Rosenzweig The Man The Scientist The Legend Michael Rosenzweigs Biographical Information Born in 1941 Jewish Parents wanted him to be a physician Ph.D. University of Pennsylvania, 1966 Advisor: Robert H. MacArthur, Ph.D. Married for over 40 years to Carole Ruth Citron Together they have three children, and several grandchildren Biographical Information Known to be an innovator Founded the Department of Ecology & Evolutionary Biology at the University of Arizona in 1975, and was its first head In 1987 he founded the scientific journal Evolutionary Ecology In 1998, when prices for journals began to rise, he founded a competitor, Evolutionary Ecology Research Honor and Awards Ecological Society of America Eminent Ecologist Award for 2008 Faculty of Sci, Univ Arizona, Career Teaching Award, 2001 Ninth Lukacs Symp: Twentieth Century Distinguished Service Award, 1999 International Ecological Soc: Distinguished Statistical Ecologist, 1998 Udall Center for Studies in Public Policy, Univ Arizona: Fellow, 1997±8 Mountain Research Center, Montana State Univ: Distinguished Lecturer, 1997 Univ Umeå, Sweden: Distinguished Visiting Scholar, 1997 Univ Miami: Distinguished Visiting Professor, 1996±7 Univ British Columbia: Dennis Chitty Lecturer, 1995±6 Iowa State Univ: 30th Paul L. Errington Memorial Lecturer, 1994 Michigan State Univ, Kellogg Biological Station: Eminent Ecologist, 1992 Honor and Awards Ben-Gurion Univ of the Negev, Israel: Jacob Blaustein Scholar, 1992