Skip to main

Global Change Master Directory (GCMD)

Choisissez le vocabulaire dans lequel chercher

Langue des données

Concept information

Science Keywords > EARTH SCIENCE SERVICES > MODELS > SPECIES DISTRIBUTION MODELS

TERME PRÉFÉRENTIEL

SPECIES DISTRIBUTION MODELS  

DÉFINITION

  • Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time. SDMs are now widely used across terrestrial, freshwater, and marine realms. Differences in methods between disciplines reflect both differences in species mobility and in “established use.” Model realism and robustness is influenced by selection of relevant predictors and modeling method, consideration of scale, how the interplay between environmental and geographic factors is handled, and the extent of extrapolation. Current linkages between SDM practice and ecological theory are often weak, hindering progress. Remaining challenges include: improvement of methods for modeling presence-only data and for model selection and evaluation; accounting for biotic interactions; and assessing model uncertainty.

CONCEPT GÉNÉRIQUE

NOTE DE CHANGEMENT

  • 2020-05-07 12:03:59.0 [tstevens] Insert Concept add broader relation (SPECIES DISTRIBUTION MODELS [79841056-b651-439c-b638-439e94731d31,560011] - MODELS [e1f20631-b5b9-438c-b5c2-b1fa0fce100a,552661]);
  • 2020-05-07 12:05:08.0 [tstevens] insert Definition (id: null text: Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time. SDMs are now widely used across terrestrial, freshwater, and marine realms. Differences in methods between disciplines reflect both differences in species mobility and in “established use.” Model realism and robustness is influenced by selection of relevant predictors and modeling method, consideration of scale, how the interplay between environmental and geographic factors is handled, and the extent of extrapolation. Current linkages between SDM practice and ecological theory are often weak, hindering progress. Remaining challenges include: improvement of methods for modeling presence-only data and for model selection and evaluation; accounting for biotic interactions; and assessing model uncertainty. language code: en);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/79841056-b651-439c-b638-439e94731d31

Télécharger ce concept :

RDF/XML TURTLE JSON-LD