Quantitative Conservation Biology: Theory And Practice Of Population Viability Analysis Download Free (EPUB, PDF)
Conservation biology relies not only on the general concepts, but on the specific methods, of population ecology to both understand and predict the viability of rare and endangered species and to determine how best to manage these populations. The need to conduct quantitative analyses of viability and management has spawned the field of "population viability analysis," or PVA, which, in turn, has driven much of the recent development of useful and realistic population analysis and modeling in ecology in general. However, despite calls for the increased use of PVA in real-world settings?developing recovery plans for endangered species, for example?a misperception remains among field-oriented conservation biologists that PVA models can only be constructed and understood by a select group of mathematical population ecologists. Part of the reason for the ongoing gap between conservation practitioners and population modelers has been the lack of an easy-to-understand introduction to PVA for conservation biologists with little prior exposure to mathematical modeling as well as in-depth coverage of the underlying theory and its applications. Quantitative Conservation Biology fills this void through a unified presentation of the three major areas of PVA: count-based, demographic, and multi-site, or metapopulation, models. The authors first present general concepts and approaches to viability assessment. Then, in sections addressing each of the three fields of PVA, they guide the reader from considerations for collection and analysis of data to model construction, analysis, and interpretation, progressing from simple to complex approaches to answering PVA questions. Detailed case studies use data from real endangered species, and computer programs to perform all described analyses accompany the text. The goal of this book is to provide practical, intelligible, and intuitive explanations of population modeling to empirical ecologists and conservation biologists. Modeling methods that do not require large amounts of data (typically unavailable for endangered species) are emphasized. As such, the book is appropriate for undergraduate and graduate students interested in quantitative conservation biology, managers charged with preserving endangered species, and, in short, for any conservation biologist or ecologist
Paperback: 480 pages
Publisher: Sinauer Associates; 1 edition (June 22, 2002)
Language: English
ISBN-10: 0878935460
ISBN-13: 978-0878935468
Product Dimensions: 0.8 x 7 x 8.8 inches
Shipping Weight: 1.7 pounds (View shipping rates and policies)
Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
Best Sellers Rank: #428,441 in Books (See Top 100 in Books) #132 in Books > Science & Math > Physics > System Theory #298 in Books > Textbooks > Science & Mathematics > Biology & Life Sciences > Ecology #540 in Books > Textbooks > Science & Mathematics > Environmental Studies
SO GREAT BOOK
Quantitative Conservation Biology: Theory and Practice of Population Viability Analysis Coral Reef Conservation (Conservation Biology) The Theory of Ecological Communities (MPB-57) (Monographs in Population Biology) Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health) Ecology of Shallow Lakes (Population and Community Biology Series) Sea Turtles: A Complete Guide to Their Biology, Behavior, and Conservation Biology and Conservation of Ridley Sea Turtles The Florida Manatee: Biology and Conservation The Endangered Species Act: : History, Conservation, Biology, and Public Policy Tropical Conservation Biology Sterling SAT Biology E/M Practice Questions: High Yield SAT Biology E/M Questions Sterling AP Biology Practice Questions: High Yield AP Biology Questions Sterling DAT Biology Practice Questions: High Yield DAT Biology Questions Sterling CLEP Biology Practice Questions: High Yield CLEP Biology Questions Population-Based Nursing, Second Edition: Concepts and Competencies for Advanced Practice Real Options Analysis (Third Edition): Tools and Techniques for Valuing Strategic Investments and Decisions with Integrated Risk Management and Advanced Quantitative Decision Analytics Genetics and Analysis of Quantitative Traits Quantitative Analysis for Management (12th Edition) Quantitative Analysis for Management (10th Edition) Analytics: Data Science, Data Analysis and Predictive Analytics for Business (Algorithms, Business Intelligence, Statistical Analysis, Decision Analysis, Business Analytics, Data Mining, Big Data)
