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Ecological Niches and Geographic Distributions
This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns.
Validation of species-climate impact models under climate change
Increasing concern over the implications of climate change for biodiversity has led to the use of species–climate envelope models to project species extinction risk under climatechange scenarios.
BIOMOD – a platform for ensemble forecasting of species distributions
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment
Ensemble forecasting of species distributions.
It is argued that, although improved accuracy can be delivered through the traditional tasks of trying to build better models with improved data, more robust forecasts can also be achieved if ensemble forecasts are produced and analysed appropriately.
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
Species distributional or trait data based on range map (extent-of-occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar
Climate change threats to plant diversity in Europe.
Risks of extinction for European plants may be large, even in moderate scenarios of climate change and despite inter-model variability, according to application of International Union for Conservation of Nature and Natural Resources Red List criteria.
Five (or so) challenges for species distribution modelling
Five areas of enquiry are identified and discussed that are of high importance for species distribution modelling: clarification of the niche concept; improved designs for sampling data for building models; improved parameterization; improved model selection and predictor contribution; and improved model evaluation.
Methods and uncertainties in bioclimatic envelope modelling under climate change
Potential impacts of projected climate change on biodiversity are often assessed using single-species bioclimatic ‘envelope’models. Such models are a special case of species distribution models in
Presence-absence versus presence-only modelling methods for predicting bird habitat suitability
It is concluded that modellers should consider that species ecological characteristics are critical in determining the accuracy of models and that it is difficult to predict generalist species distributions accurately and this is independent of the method used.
Model‐based uncertainty in species range prediction
Aim: Many attempts to predict the potential range of species rely on environmental niche (or 'bioclimate envelope') modelling, yet the effects of using different niche-based methodologies require