
Quantitative Methods for Conservation Biology
Springer (Publisher)
Published on 25. May 2000
Book
Hardback
333 pages
978-0-387-94322-0 (ISBN)
Description
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.
More details
Language
English
Place of publication
New York, NY
United States
Target group
College/higher education
Professional and scholarly
Illustrations
100 figures
Dimensions
Height: 235 mm
Width: 159 mm
Thickness: 25 mm
Weight
612 gr
ISBN-13
978-0-387-94322-0 (9780387943220)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Scott Ferson | Mark Burgman
Quantitative Methods for Conservation Biology
E-Book
05/2006
Springer
€96.29
Available for download

Scott Ferson | Mark Burgman
Quantitative Methods for Conservation Biology
Book
06/2002
Springer
€106.99
Shipment within 5-7 days
Persons
Content
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)