Innovative method for biodiversity mechanistic models
Mechanistic community models emerged as a response to the restrictions of biodiversity modelling methods. While several options potentially act as bases for these mechanistic models, they often have limited use in advanced biodiversity modelling projects. The EU-funded CLIMB project proposes an innovative statistical method that answers pressing fundamental questions of ecology and biodiversity modelling and delivers pioneering perspectives to meet crucial environmental challenges. The project will test ample transfer functions allowing rapid measurement of mechanistic models with available quality data, making these models suitable for reliable biodiversity forecasting. CLIMB will develop apposite mechanistic community models, collect useful data for local grassland plant species and analyse empirical data.
Funding SchemeMSCA-IF-GF - Global Fellowships
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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