Expert knowledge is used widely in the science and practice of conservation because of the
complexity of problems, relative lack of data, and the imminent nature of many conservation …

This paper evaluates the processes and mechanisms available for integrating different types
of knowledge for environmental management. Following a review of the challenges …

Large numbers of migratory bats are killed every year at wind energy facilities. However,
population-level impacts are unknown as we lack basic demographic information about …

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists
using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical …

The inevitable though frequently informal use of expert opinion in modelling, the increasing
number of models that incorporate formally expert opinion from a diverse range of …

Habitat loss and degradation that comes as a result of human activity is the single biggest
threat to biodiversity in the world today. Habitat Fragmentation and Landscape Change is a …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

A common feature of ecological data sets is their tendency to contain many zero values.
Statistical inference based on such data are likely to be inefficient or wrong unless careful …

Ecology Letters (2010) 13: 900–914 Abstract Expert knowledge in ecology is gaining
momentum as a tool for conservation decision‐making where data are lacking. Yet, little …

The interest in using Bayesian methods in ecology is increasing, however many ecologists
have difficulty with conducting the required analyses. McCarthy bridges that gap, using a …