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Calibrating and Improving Mechanistic models of Biodiversity

Project description

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.

Call for proposal

H2020-MSCA-IF-2018
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Coordinator

UNIVERSITAET REGENSBURG
Address
Universitatsstrasse 31
93053 Regensburg
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 247 020,48

Partners (1)

UNIVERSITY OF CANTERBURY
New Zealand
Address
Private Bag 4800
8140 Christchurch
Activity type
Higher or Secondary Education Establishments