Correlation and process in species distribution models: bridging a dichotomy

Correlation and process in species distribution models: bridging a dichotomy

Source :

• Journal of Biogeography [ 0305-0270 ] ; 2012-12.

Descripteurs français

• Pascal (Inist)
  • Aire de distribution, Biogéographie, Dichotomie, Modèle, Paramétrisation, Répartition spatiale.
• Wicri :
  • topic : Biodiversité, étude de cas, Changement climatique, écologie, écosystème, Recherche sur l'environnement.

English descriptors

• KwdEn :
  • Alternative choices, American naturalist, Araujo, Bayesian, Bayesian calibration, Biodiversity, Biogeography, Biology letters, Blackwell publishing, Botanist effect, Bugmann, Case study, Chuine, Chuine beaubien, Climate change, Climatic, Common errors, Conservation biology, Correlative, Correlative approach, Correlative approaches, Correlative model, Correlative models, Critical issues, Data assimilation, Data sets, Development core team, Dichotomy, Distribution data, Distribution models, Distribution range, Dormann, Ecological, Ecological applications, Ecological knowledge, Ecological modelling, Ecological models, Ecological monographs, Ecological niche, Ecological niches, Ecological theory, Ecology, Ecology letters, Ecosystem, Elith, Environmental, Environmental conditions, Environmental data, Environmental factors, Environmental modelling, Environmental research, Environmental sciences, Environmental system analysis, Environmental variables, Equilibrium assumption, Experimental evidence, Explanatory variables, External validation, Extreme case, Functional forms, Functional relationships, Future development, General theory, Global, Global change biology, Global ecology, Grimm railsback, Habitat models, Helmholtz centre, Hybrid, Hybrid models, Hypothesis testing, Incorrect results, Independent data, Independent parameter estimates, Input data, Inverse modelling, Kearney, Kleidon mooney, Landscape ecology, Large number, Mechanistic, Mechanistic models, Model, Model building, Model complexity, Model inversion, Model output, Model parameters, Model predictions, Model selection, Model structure, Modelling, Modelling approaches, Modelling species distributions, Modelling study, Models, Mokany ferrier, Multimodel inference, National academy, Next section, Niche, Occurrence data, Other hand, Other species, Parameter, Parameterization, Plant species, Prediction uncertainty, Process formulations, Process model, Processbased models, Regression dilution, Relevant processes, Right reasons, Right results, Same data, Sampling effort, Schroder, Schroder richter, Schurr, Solar radiation, Spatial autocorrelation, Spatial distribution, Species distribution, Species distribution data, Species distribution modelling, Species distribution modelling approaches, Species distribution models, Species distributions, Species occurrence, Statistical modelling, Such data, Theoretical biology, Thuiller, Tted, Tted models, Tting, Unknown parameters, Validation, Vegetation model, Virtual ecologist approach, Wrong reasons.
• Teeft :
  • Alternative choices, American naturalist, Araujo, Bayesian, Bayesian calibration, Biodiversity, Biogeography, Biology letters, Blackwell publishing, Botanist effect, Bugmann, Case study, Chuine, Chuine beaubien, Climate change, Climatic, Common errors, Conservation biology, Correlative, Correlative approach, Correlative approaches, Correlative model, Correlative models, Critical issues, Data assimilation, Data sets, Development core team, Dichotomy, Distribution data, Distribution models, Dormann, Ecological, Ecological applications, Ecological knowledge, Ecological modelling, Ecological models, Ecological monographs, Ecological niche, Ecological niches, Ecological theory, Ecology, Ecology letters, Ecosystem, Elith, Environmental, Environmental conditions, Environmental data, Environmental factors, Environmental modelling, Environmental research, Environmental sciences, Environmental system analysis, Environmental variables, Equilibrium assumption, Experimental evidence, Explanatory variables, External validation, Extreme case, Functional forms, Functional relationships, Future development, General theory, Global, Global change biology, Global ecology, Grimm railsback, Habitat models, Helmholtz centre, Hybrid, Hybrid models, Hypothesis testing, Incorrect results, Independent data, Independent parameter estimates, Input data, Inverse modelling, Kearney, Kleidon mooney, Landscape ecology, Large number, Mechanistic, Mechanistic models, Model, Model building, Model complexity, Model inversion, Model output, Model parameters, Model predictions, Model selection, Model structure, Modelling, Modelling approaches, Modelling species distributions, Modelling study, Mokany ferrier, Multimodel inference, National academy, Next section, Niche, Occurrence data, Other hand, Other species, Parameter, Plant species, Prediction uncertainty, Process formulations, Process model, Processbased models, Regression dilution, Relevant processes, Right reasons, Right results, Same data, Sampling effort, Schroder, Schroder richter, Schurr, Solar radiation, Spatial autocorrelation, Species distribution, Species distribution data, Species distribution modelling, Species distribution modelling approaches, Species distribution models, Species distributions, Species occurrence, Statistical modelling, Such data, Theoretical biology, Thuiller, Tted, Tted models, Tting, Unknown parameters, Validation, Vegetation model, Virtual ecologist approach, Wrong reasons.

Abstract

• https://api.istex.fr/document/71231B07F1584005DA5D3C5DCA9EFD1C62F5869B/fulltext/pdf

Affiliations:

• Allemagne, Australie, France, Suisse, États-Unis
• Bade-Wurtemberg, Basse-Saxe, Brandebourg, Canton de Zurich, District de Darmstadt, District de Fribourg-en-Brisgau, District de Leipzig, Hesse (Land), Saxe (Land), Victoria (État), État de New York
• Francfort-sur-le-Main, Fribourg-en-Brisgau, Göttingen, Leipzig, Melbourne, Potsdam, Zurich
• Université de Melbourne

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