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Hierarchical Modeling and Inference in Ecology - The Analysis of Data from Populations, Metapopulations and Communities (Hardcover)
Loot Price: R1,656
Discovery Miles 16 560
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Hierarchical Modeling and Inference in Ecology - The Analysis of Data from Populations, Metapopulations and Communities (Hardcover)
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Total price: R1,666
Discovery Miles: 16 660
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A guide to data collection, modeling and inference strategies for
biological survey data using Bayesian and classical statistical
methods.
This book describes a general and flexible framework for modeling
and inference in ecological systems based on hierarchical models,
with a strict focus on the use of probability models and parametric
inference. Hierarchical models represent a paradigm shift in the
application of statistics to ecological inference problems because
they combine explicit models of ecological system structure or
dynamics with models of how ecological systems are observed. The
principles of hierarchical modeling are developed and applied to
problems in population, metapopulation, community, and
metacommunity systems.
The book provides the first synthetic treatment of many recent
methodological advances in ecological modeling and unifies
disparate methods and procedures.
The authors apply principles of hierarchical modeling to ecological
problems, including
* occurrence or occupancy models for estimating species
distribution
* abundance models based on many sampling protocols, including
distance sampling
* capture-recapture models with individual effects
* spatial capture-recapture models based on camera trapping and
related methods
* population and metapopulation dynamic models
* models of biodiversity, community structure and dynamics
* Wide variety of examples involving many taxa (birds, amphibians,
mammals, insects, plants)
* Development of classical, likelihood-based procedures for
inference, as well as
Bayesian methods of analysis
* Detailed explanations describing the implementation of
hierarchical models using freely available software such as R and
WinBUGS
* Computing support in technical appendices in an online companion
web site
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