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Method Factsheet - Species Distribution Models

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Requirements:

  • Appropriate species and contextual (or proxy) datasets for the case study area.
  • In general, SDMs require expertise from the ecology/biodiversity field, but input from non-academic stakeholders can be useful to validate the results
  • Availability of software depends on the species distribution model in question. Some software is freely available for download, others are embedded in particular institutions. BIOMOD is implemented in R statistical coding landuage and is a freeware, open

Advantages:

  • Can identify areas where climate and/or habitat is appropriate for a given species
  • Can be used to explore multiple future scenarios
  • Spatial outputs produced with accompanying goodness-of-fit statistics.

Constraints:

  • Some species are very hard to model as the factors driving their present-day distributions are unclear. The projections generally reflect the climate, environmental characterisitics and/or habitat niche that a species could potentially use - they do not
  • As with any modelling, some species fit better with the driving variables and produce projections that are more statistically significant than others
  • Relatively advanced statistical process underly the models

Licence:

  • Free, no licence

Development stage:

  • Full, working product
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