Fields that employ artificial neural networks (ANNs) have developed and expanded
continuously in recent years with the ongoing development of computer technology and …

AR4 Climate Change 2007: Impacts, Adaptation, and Vulnerability — IPCC Menu About Data
Documentation Focal Points Portal Bureau Portal Library Links Help Languages عربي 简体中文 …

Aim To demonstrate that multi‐modelling methods have effectively been used to combine
static species distribution models (SDM), predicting the geographical pattern of suitable …

Climate change presents unprecedented challenges for biological conservation. Agencies
are increasingly looking to modeled projections of species' distributions under future …

Aim Many studies have forecasted the possible impact of climate change on plant
distributions using models based on ecological niche theory, but most of them have ignored …

Fragmented tropical forest landscapes preserve much of the remaining biodiversity and
carbon stocks. Climate change is expected to intensify droughts and increase fire hazard …

Competition is a key process in plant populations and communities. We thus need, if we are
to predict the responses of ecological systems to environmental change, a comprehensive …

An analysis using an artificial neural network model suggests that the tropical forests of north
Queensland are highly sensitive to climate change within the range that is likely to occur in …

A feedforward artificial neural network, coupled with a regional GIS (geographic information
system), is described that is being used to assess the potential impacts of climate change on …

The purpose of this report is to compile and summarise the present knowledge on impacts of
climate change as a basis for a consideration of what may constitute dangerous …