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Quantitative Methods for Conservation Biology

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Release : 2002-06-13
Genre : Nature
Kind : eBook
Book Rating : 864/5 ( reviews)

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Book Synopsis Quantitative Methods for Conservation Biology by : Scott Ferson

Download or read book Quantitative Methods for Conservation Biology written by Scott Ferson. This book was released on 2002-06-13. Available in PDF, EPUB and Kindle. Book excerpt: Reviews the quantitative tools used in the study of subjects such as biodiversity, resource management and endangered species preservation. Topics covered include population viability analysis, population dynamics, metapopulation models, estimating timing of extinctions, quasi-extinction and more.

Quantitative Methods for Conservation Biology

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Release : 1998
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Quantitative Methods for Conservation Biology by : S. Ferson

Download or read book Quantitative Methods for Conservation Biology written by S. Ferson. This book was released on 1998. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Methods for Conservation Biology

Download Quantitative Methods for Conservation Biology PDF Online Free

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Release : 2006-05-09
Genre : Science
Kind : eBook
Book Rating : 486/5 ( reviews)

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Book Synopsis Quantitative Methods for Conservation Biology by : Scott Ferson

Download or read book Quantitative Methods for Conservation Biology written by Scott Ferson. This book was released on 2006-05-09. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods are needed in conservation biology more than ever as an increasing number of threatened species find their way onto international and national “red lists. ” Objective evaluation of population decline and extinction probability are required for sound decision making. Yet, as our colleague Selina Heppell points out, population viability analysis and other forms of formal risk assessment are underused in policy formation because of data uncertainty and a lack of standardized methodologies and unambiguous criteria (i. e. , “rules of thumb”). Models used in conservation biology range from those that are purely heuristic to some that are highly predictive. Model selection should be dependent on the questions being asked and the data that are available. We need to develop a toolbox of quantitative methods that can help scientists and managers with a wide range of systems and that are subject to varying levels of data uncertainty and environmental variability. The methods outlined in the following chapters represent many of the tools needed to fill that toolbox. When used in conjunction with adaptive management, they should provide information for improved monitoring, risk assessment, and evaluation of management alternatives. The first two chapters describe the application of methods for detecting trends and extinctions from sighting data. Presence/absence data are used in general linear and additive models in Chapters 3 and 4 to predict the extinction proneness of birds and to build habitat models for plants.

Quantitative Analyses in Wildlife Science

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Release : 2019-09-10
Genre : Science
Kind : eBook
Book Rating : 084/5 ( reviews)

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Book Synopsis Quantitative Analyses in Wildlife Science by : Leonard A. Brennan

Download or read book Quantitative Analyses in Wildlife Science written by Leonard A. Brennan. This book was released on 2019-09-10. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to quantitative methods that will help wildlife scientists improve analysis and decision-making. Over the past fifty years, wildlife science has become increasingly quantitative. But to wildlife scientists, many of whom have not been formally trained as biometricians, computer modelers, or mathematicians, the wide array of available techniques for analyzing wildlife populations and habitats can be overwhelming. This practical book aims to help students and professionals alike understand how to use quantitative methods to inform their work in the field. Covering the most widely used contemporary approaches to the analysis of wildlife populations and habitats, Quantitative Analyses in Wildlife Science is divided into five broad areas: • general statistical methods • demographic estimation • dynamic process modeling • analysis of spatially based data on animals and resources • numerical methods Addressing a variety of topics, from population estimation and growth trend predictions to the study of migration patterns, this book presents fresh data on such pressing issues as sustainable take, control of invasives, and species reintroduction. Authored by leading researchers in wildlife science, each chapter considers the structure of data in relation to a particular analytical technique, as well as the structure of variation in those data. Providing conceptual and quantitative overviews of modern analytical methods, the techniques covered in this book also apply to conservation research and wildlife policy. Whether a quick refresher or a comprehensive introduction is called for, Quantitative Analyses in Wildlife Science is an indispensable addition to every wildlife professional's bookshelf. Contributors: William M. Block, Leonard A. Brennan, Stephen T. Buckland, Christopher C. Chizinski, Evan C. Cooch, Raymond J. Davis, Stephen J. DeMaso, Randy W. DeYoung, Jane Elith, Joseph J. Fontane, Julie A. Heinrichs, Mevin B. Hooten, Julianna M. A. Jenkins, Zachary S. Laden, Damon B. Lesmeister, Daniel Linden, Jeffrey J. Lusk, Bruce G. Marcot, David L. Miller, Michael L. Morrison, Eric Rexstad, Jamie S. Sanderlin, Joseph P. Sands, Erica F. Stuber, Chris Sutherland, Andrew N. Tri, David B. Wester, Gary C. White, Christopher K. Williams, Damon L. Williford

Quantitative Conservation Biology

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Release : 2002-01-01
Genre : Science
Kind : eBook
Book Rating : 468/5 ( reviews)

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Book Synopsis Quantitative Conservation Biology by : William F. Morris

Download or read book Quantitative Conservation Biology written by William F. Morris. This book was released on 2002-01-01. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to provide practical, intelligible, and intuitive explanations of population modelling to empirical ecologists and conservation biologists. Modelling methods that do not require large amounts of data (typically unavailable for endangered species) are emphasised. 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 seeking to better understand the analysis and modelling of population data.

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