Overview
- Brings together the latest and best work in this rapidly developing field
- Provides a cohesive overview of current best-practice and provides stimulus and impetus to the development of the field over the coming years
- Principal software developments of the last three years are presented
Part of the book series: Environmental and Ecological Statistics (ENES, volume 3)
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Table of contents (55 chapters)
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Population Dynamics – Growth, Density-Dependence and Decomposing λ
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Evolutionary Ecology
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Abundance Estimation – Direct Methods, Proxies, Occupancy Models and Point Count Data
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Dispersal, Movement and Migration – Methods and Multi-State Models
Keywords
About this book
Much of biology can be understood in terms of demography. It is the demographic processes of birth and death which govern rates of population growth and the rates at which gene frequencies change. The analysis of demographic processes in free-living organisms is, however, far from simple. Scientists from diverse fields in biology and statistics have united to address the challenges by developing mark-recapture methods and other approaches. Progress has been rapid, and this volume represents a snapshot of the emerging field. It has eleven sections in total, covering the most important biological and statistical frontiers, new software developments, and an open forum. It covers the latest approaches in modeling population dynamics, evolutionary ecology and wildlife biology. It addresses issues in the estimation of abundance and movement, and it covers new statistical approaches in the combination of information, Bayesian statistics, Robust Designs and the modeling of state-uncertainty.
Editors and Affiliations
Bibliographic Information
Book Title: Modeling Demographic Processes in Marked Populations
Editors: David L Thomson, Evan G. Cooch, Michael J. Conroy
Series Title: Environmental and Ecological Statistics
DOI: https://doi.org/10.1007/978-0-387-78151-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-78150-1Published: 02 December 2008
Softcover ISBN: 978-1-4899-7910-0Published: 23 August 2016
eBook ISBN: 978-0-387-78151-8Published: 11 December 2008
Series ISSN: 2363-9660
Series E-ISSN: 2363-9679
Edition Number: 1
Number of Pages: XXIV, 1132
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Math. Appl. in Environmental Science, Nature Conservation