All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Ecology  Ecological Theory & Practice

Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations, Metapopulations and Communities

By: J Andrew Royle and Robert M Dorazio
444 pages, Figs, tabs
Publisher: Academic Press
Hierarchical Modeling and Inference in Ecology
Click to have a closer look
Select version
  • Hierarchical Modeling and Inference in Ecology ISBN: 9780123740977 Hardback Oct 2008 In stock
    £61.99
    #175011
Selected version: £61.99
About this book Customer reviews Related titles

About this book

The hierarchical modelling framework represents a powerful and flexible framework for modelling and inference about ecological processes. It admits an explicit and formal representation of the data model into constituent components for observations and ecological process.

The model for the ecological process of interest (the 'process model'), describes variation (spatial, temporal, etc.) in the ecological process that is the object of inference. This process is manifest in some (typically unobservable, or only partially so) state variable, say z(i,t), e.g., abundance or occurrence at some point in space (i) and time (t). Whereas the model for the observations conditional on the ecological process (the 'observation model'), describes the probabilistic mechanisms by which the data are obtained. Whereas almost all classical methods focus exclusively on models that describe the sampling process, through the closely related probability distribution [data parameters], the incorporation of these two component models into a single unified model (referred to as a hierarchical or state-space model) results in a generic and flexible strategy for conducting inference about population and community structure from biological sampling data. In particular, while the [data, process, parameters] model may be very complex, the two component sub-models are typically very simple, even for some very complex data structures. This yields surprisingly simple solutions to some very complex problems.

Examples include: hierarchical models of simple counts; modelling individual heterogeneity in capture-recapture models; estimating community structure by modelling occurrence of species; wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants); and detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS. Computing support is provided as technical appendices in an online companion site.

Customer Reviews

By: J Andrew Royle and Robert M Dorazio
444 pages, Figs, tabs
Publisher: Academic Press
Current promotions
Handbook of the mammals of the world batsPenguin Random House South AfricaBritish WildlifeNest Box Price List 2019