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Predicting species distribution: offering more than simple habitat models.
An overview of recent advances in species distribution models, and new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales are suggested.
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
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 climate‐change scenarios.
Measuring ecological niche overlap from occurrence and spatial environmental data
A statistical framework to describe and compare environmental niches from occurrence and spatial environmental data and shows that niche overlap can be accurately detected with the framework when variables driving the distributions are known.
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.
Impacts of climate change on the future of biodiversity.
Overall, this review shows that current estimates of future biodiversity are very variable, depending on the method, taxonomic group, biodiversity loss metrics, spatial scales and time periods considered.
BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
It is concluded that rather than using a single modelling technique to predict the distribution of several species, it would be more reliable to use a framework assessing different models for each species and selecting the most accurate one using both evaluation methods and expert knowledge.
Evaluation of consensus methods in predictive species distribution modelling
Aim  Spatial modelling techniques are increasingly used in species distribution modelling. However, the implemented techniques differ in their modelling performance, and some consensus methods are
Selecting pseudo‐absences for species distribution models: how, where and how many?
The most effective species distribution models require data on both species presence and the available environmental conditions, and there is still no consensus on how and where to sample these pseudo‐absences and how many.
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