Connecting dynamic vegetation models to data - an inverse perspective

Dynamic vegetation models provide process-based explanations of the dynamics and the distribution of plant ecosystems. They offer significant advantages over static, correlative modelling approaches, particularly for ecosystems that are outside their equilibrium due to global change or climate chang...

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Veröffentlicht in:	Journal of biogeography 2012-12, Vol.39 (12), p.2240-2252
Hauptverfasser:	Hartig, Florian, Dyke, James, Hickler, Thomas, Higgins, Steven I., O'Hara, Robert B., Scheiter, Simon, Huth, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian statistics Biogeography calibration Climate models data assimilation Dynamic modeling Ecological modeling Ecosystem models Forest ecology forest models inverse modelling model selection Modeling parameterization Parametric models plant functional types Plants predictive uncertainty process-based models Remote sensing Studies Vegetation
Online-Zugang:	Volltext
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