Quantitative methods for conservation biology

著者

書誌事項

Quantitative methods for conservation biology

edited by Scott Ferson, Mark Burgman

Springer, c2000

  • hbk
  • pbk

大学図書館所蔵 件 / 全13件

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注記

Includes bibliographical references and index

Softcover printing, 2002.

内容説明・目次

巻冊次

hbk ISBN 9780387943220

内容説明

This title presents the quantitative tools important to the study of conservation subjects, such as biodiversity, natural resource management, and endangered species preservation. Topics covered include population dynamics and metapopulation models, land-use, population genetics, quasi-extinction, recovery dynamics, genetics of bottleneck populations as well as estimating risks and timing of extinction.

目次

  • Detecting extinctions in sighting data
  • extinctions in sighting data: power and an application to Western Australian Acacia species
  • identifying the ecological correlates of extinction - prone species using maximum likelihood regression: a case study of New Zealand birds
  • quantitative methods for modelling species habitat - comparative performance and an application to Australian plants
  • risk assessment of a proposed introduction of Pacific salmon in the Delaware River Basin
  • likelihood of introducing non-indigenous organisms with agricultural commodities - probabilistic estimation
  • best abundance estimates and best management - why they are not the same
  • whaling models for Cetacean conservation
  • Bayesian belief networks - assessing land use impacts on bull trout. (Part contents)
巻冊次

pbk ISBN 9780387954868

内容説明

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.

目次

Detecting extinctions in sighting data * Extinctions in sighting data: power and an application to Western Australian Acacia species * Identifying the ecological correlates of extinction prone species using maximum likelihood regression: a case study of New Zealand birds * Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants * Risk assessment of a proposed introduction of Pacific salmon in the Delaware River Basin * Likelihood of introducing nonindigenous organisms with agricultural commodities: probabilistic estimation * Best abundance estimates and best management: why they are not the same * Whaling models for cetacean conservation * Bayesian belief networks: assessing land use impacts on bull trout * Using matrix models to focus research and management efforts in conservation * Variability and measurement error in extinction risk analysis: the northern spotted owl on the Olympic Peninsula * Can individual-based models yield a better assessment of population viability? * The potential of branching processes as a modelling tool for conservation biology * The role of genetics in conservation biology * Modelling problems in conservation genetics using laboratory animals * Theoretical properties of extinction by inbreeding depression under stochastic environments * Mathematical methods for identifying representative reserve networks

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