Equilibrium Theory of Island Biogeography: a Review
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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. -
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). -
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. -
Range and Variation in Landscape Patch Dynamics: Implications for Ecosystem Management
Range and Variation in Landscape Patch Dynamics: Implications for Ecosystem Management Robert E. Keane Janice L. Garner Casey Teske Cathy Stewart Paul Hessburg Abstract—Northern Rocky Mountain landscape patterns are shaped example, the range of patch sizes on a landscape over time primarily by fire and succession, and conversely, these vegetation could be used to design the size of a prescribed fire so that it patterns influence burning patterns and plant colonization pro- is not bigger, or smaller, than what would have occurred cesses. Historical range and variability (HRV) of landscape pattern historically (Cissel and others 1999; Swetnam and others can be quantified from three sources: (1) historical chronosequences, 1999; Mladenoff and others 1993). Current landscape condi- (2) spatial series, and (3) simulated chronosequences. The last two tions could also be compared with summarized historical sources were used to compute HRV for this study. Spatial series landscape conditions to detect ecologically significant change, were characterized from aerial photographs of 10 similar land- such as that brought on by fire exclusion and timber harvest- scapes on the Bitterroot National Forest, Montana. The LANDSUM ing (Baker 1992, 1995; Cissel and others 1999; Hessburg and model was used to simulate landscape patterns for three landscapes others 1999b; Landres and others 1999). on the Flathead National Forest. Landscape metrics were computed Landscape structure and composition are usually charac- using FRAGSTATS. Results can be used (1) to describe landscape terized from the spatial distribution of patches—a term characteristics, (2) to develop baseline threshold values, and (3) to synonymous with stands or polygons. Many types of spatial design treatment guidelines for ecosystem management. -
Inbreeding Effects in Wild Populations
230 Review TRENDS in Ecology & Evolution Vol.17 No.5 May 2002 43 Putz, F.E. (1984) How trees avoid and shed lianas. estimate of total aboveground biomass for an neotropical forest of French Guiana: spatial and Biotropica 16, 19–23 eastern Amazonian forest. J. Trop. Ecol. temporal variability. J. Trop. Ecol. 17, 79–96 44 Appanah, S. and Putz, F.E. (1984) Climber 16, 327–335 52 Pinard, M.A. and Putz, F.E. (1996) Retaining abundance in virgin dipterocarp forest and the 48 Fichtner, K. and Schulze, E.D. (1990) Xylem water forest biomass by reducing logging damage. effect of pre-felling climber cutting on logging flow in tropical vines as measured by a steady Biotropica 28, 278–295 damage. Malay. For. 47, 335–342 state heating method. Oecologia 82, 350–361 53 Chai, F.Y.C. (1997) Above-ground biomass 45 Laurance, W.F. et al. (1997) Biomass collapse in 49 Restom, T.G. and Nepstad, D.C. (2001) estimation of a secondary forest in Sarawak. Amazonian forest fragments. Science Contribution of vines to the evapotranspiration of J. Trop. For. Sci. 9, 359–368 278, 1117–1118 a secondary forest in eastern Amazonia. Plant 54 Putz, F.E. (1983) Liana biomass and leaf area of a 46 Meinzer, F.C. et al. (1999) Partitioning of soil Soil 236, 155–163 ‘terra firme’ forest in the Rio Negro basin, water among canopy trees in a seasonally dry 50 Putz, F.E. and Windsor, D.M. (1987) Liana Venezuela. Biotropica 15, 185–189 tropical forest. Oecologia 121, 293–301 phenology on Barro Colorado Island, Panama. -
Protected Areas Programme PARKS Vol 9 No 1 • February 1999 Reserve Design and Selection Protected Areas Programme
Protected Areas Programme PARKS Vol 9 No 1 • February 1999 Reserve Design and Selection Protected Areas Programme PARKSThe international journal for protected area managers Vol 9 No 1 • February 1999 ISSN: 0960-233X Published three times a year by the World Commission on Protected Areas (WCPA) of IUCN – The World Conservation Union. Editor: Paul Goriup PARKS, 36 Kingfisher Court, Hambridge Assistant Editor: Becky Miles Road, Newbury, RG14 5SJ, UK Translations: Belen Blanco (Spanish), Fax: [+ 44] (0)1635 550230 Balfour Business Communications Ltd Email: [email protected] (French) PARKS Advisory Board Subscription rates and advertisements David Sheppard Chairman Please see inside back cover for details of subscription (Head, IUCN Protected Areas Programme) and advertising rates. If you require any further Paul Goriup information, please contact the editorial office at the (Managing Director, Nature Conservation Bureau Ltd) address above. Jeremy Harrison (WCMC) Lota Melamari Contributing to PARKS (Director General, Tanzania National Parks) PARKS welcomes contributions for future issues. Gustavo Suárez de Freitas Potential authors should contact PARKS at the (Executive Director, ProNaturaleza, Peru) address above for details regarding manuscript Adrian Phillips (Chair, WCPA) preparation and deadlines before submitting material. PARKS is published to strengthen international collaboration among protected area professionals and to enhance their role, status and activities by: ❚ maintaining and improving an effective network of protected area managers throughout the world, building on the established network of WCPA ❚ serving as a leading global forum for the exchange of information on issues relating to protected area establishment and management ❚ ensuring that protected areas are placed at the forefront of contemporary environmental issues such as biodiversity conservation and ecologically sustainable development. -
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. -
Natural Disturbance and Stand Development Principles for Ecological Forestry
United States Department of Agriculture Natural Disturbance and Forest Service Stand Development Principles Northern Research Station for Ecological Forestry General Technical Report NRS-19 Jerry F. Franklin Robert J. Mitchell Brian J. Palik Abstract Foresters use natural disturbances and stand development processes as models for silvicultural practices in broad conceptual ways. Incorporating an understanding of natural disturbance and stand development processes more fully into silvicultural practice is the basis for an ecological forestry approach. Such an approach must include 1) understanding the importance of biological legacies created by a tree regenerating disturbance and incorporating legacy management into harvesting prescriptions; 2) recognizing the role of stand development processes, particularly individual tree mortality, in generating structural and compositional heterogeneity in stands and implementing thinning prescriptions that enhance this heterogeneity; and 3) appreciating the role of recovery periods between disturbance events in the development of stand complexity. We label these concepts, when incorporated into a comprehensive silvicultural approach, the “three-legged stool” of ecological forestry. Our goal in this report is to review the scientific basis for the three-legged stool of ecological forestry to provide a conceptual foundation for its wide implementation. Manuscript received for publication 1 May 2007 Published by: For additional copies: USDA FOREST SERVICE USDA Forest Service 11 CAMPUS BLVD SUITE 200 Publications Distribution NEWTOWN SQUARE PA 19073-3294 359 Main Road Delaware, OH 43015-8640 November 2007 Fax: (740)368-0152 Visit our homepage at: http://www.nrs.fs.fed.us/ INTRODUCTION Foresters use natural disturbances and stand development processes as models for silvicultural practices in broad conceptual ways. -
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.