The realization of conservation goals requires strategies for managing whole landscapes
including areas allocated to both production and protection. Reserves alone are not …

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 …

Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …

Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …

With the rise of new powerful statistical techniques and GIS tools, the development of
predictive habitat distribution models has rapidly increased in ecology. Such models are …

Summary 1 Models for predicting the distribution of organisms from environmental data are
widespread in ecology and conservation biology. Their performance is invariably evaluated …

The Genetic Algorithm for Rule-Set Prediction (GARP) is one of several current approaches
to modeling species' distributions using occurrence records and environmental data …

Given increasing access to large amounts of biodiversity information, a powerful capability is
that of modeling ecological niches and predicting geographic distributions. Because …

Species distribution models (SDM) are commonly used to obtain hypotheses on either the
realized or the potential distribution of species. The reliability and meaning of these …

A new computation framework (BIOMOD: BIOdiversity MODelling) is presented, which aims
to maximize the predictive accuracy of current species distributions and the reliability of …