Connecting dynamic vegetation models to data - an inverse perspective

Journal of Biogeography

Volumn 39, Issue 12, 2012, Pages 2240-2252

  Hartig, Florian ^a   Dyke, James ^b   Hickler, Thomas ^c   Higgins, Steven I ^d   O'Hara, Robert B ^c   Scheiter, Simon ^c   Huth, Andreas ^a  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c BIODIVERSITY AND CLIMATE RESEARCH CENTRE BIK F   (Germany)

^d GOETHE UNIVERSITY   (Germany)

Author keywords

Bayesian statistics; Calibration; Data assimilation; Forest models; Inverse modelling; Model selection; Parameterization; Plant functional types; Predictive uncertainty; Process based models

Indexed keywords

BAYESIAN ANALYSIS; BIOTIC FACTOR; CALIBRATION; CLIMATE CHANGE; DATA ASSIMILATION; DISPERSAL; ECOLOGICAL MODELING; ECOSYSTEM DYNAMICS; FUNCTIONAL GROUP; INVENTORY; INVERSE ANALYSIS; PARAMETERIZATION; PHENOTYPIC PLASTICITY; PLANT COMMUNITY; POLICY MAKING; REMOTE SENSING; UNCERTAINTY ANALYSIS; VEGETATION DYNAMICS;

EID: 84869871691     PISSN: 03050270     EISSN: 13652699     Source Type: Journal    
DOI: 10.1111/j.1365-2699.2012.02745.x     Document Type: Article

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