Species distribution models (SDMs) are numerical tools that combine observations of
species occurrence or abundance with environmental estimates. They are used to gain …

Vegetation Description and Data Analysis: A PracticalApproach, Second Edition is a fully
revised and up-datededition of this key text. The book takes account of recent advancesin …

Species distribution models (SDMs) are increasingly being used to address a diverse range
of applied and theoretical questions (Guisan and Thuiller 2005, Jeschke and Strayer 2008) …

Although patterns of tree species distributions along environmental gradients have been
amply documented in tropical forests,,,,,,, mechanisms causing these patterns are seldom …

In the context of ongoing climatic warming, certain landscapes could be near a tip** point
where relatively small changes to their fire regimes or their postfire forest recovery dynamics …

A global survey of 179 restoration practitioners spanning 65 countries identified the extent of
stakeholder engagement as a key factor determining the success or failure of restoration …

Short-term prediction is one of the essential elements of intelligent transportation systems
(ITS). Although fine prediction methodologies have been reported, most prediction methods …

Stream processing is a novel distributed computing paradigm that supports the gathering,
processing, and analysis of high-volume, heterogeneous, continuous data streams, to …

Critical evaluation of the adequacy of ecological models is urgently needed to enhance their
utility in develo** theory and enabling environmental managers and policymakers to …

Understanding and predicting the distribution of organisms in heterogeneous environments
lies at the heart of ecology. The spatial distribution of fish populations observed in the wild …