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Modeling Demographic Processes In Marked Populations

Modeling Demographic Processes In Marked Populations
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Field name Details
Dewey Class 519.5
Title Modeling Demographic Processes In Marked Populations ([Ebook]) / edited by David L Thomson, Evan G. Cooch, Michael J. Conroy.
Author Thomson, David L.
Added Personal Name Cooch, Evan G.
Conroy, Michael J.
Other name(s) SpringerLink (Online service)
Publication Boston, MA : Springer US
, 2009.
Physical Details : online resource.
Series Environmental and Ecological Statistics ; 3
ISBN 9780387781518
Summary Note 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.:
Contents note Abundance Estimation: Direct, Proxies and Point Counts -- Population Dynamics -- Combining Sources of Information -- Dispersal, Movement and Migration -- State Uncertainty: Assignment Error and Unobservable States -- Bayesian Applications: Advances, Random Effects and Hierarchical Models -- Evolutionary Ecology -- Wildlife and Conservation Management -- New Software Developments for Modeling Demographic Processes -- Open Forum.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-0-387-78151-8
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