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Modelling climate change responses in tropical forests: Similar productivity estimates across five models, but different mechanisms and responses

Rowland, L; Harper, Anna; Christoffersen, Bradley O; Galbraith, David R; Imbuzeiro, Hewlley M.A; Powell, Thomas; Doughty, C. E; Levine, N. M.; Malhi, Yadvinder; Saleska, S.R; Moorcroft, Paul; Meir, Patrick


Accurately predicting the response of Amazonia to climate change is important for predicting climate change across the globe. Changes in multiple climatic factors simultaneously result in complex non-linear ecosystem responses, which are difficult to predict using vegetation models. Using leaf- and canopy-scale observations, this study evaluated the capability of five vegetation models (Community Land Model version 3.5 coupled to the Dynamic Global Vegetation model - CLM3.5-DGVM; Ecosystem...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Journal article
Source: Geoscientific Model Development
DOI: 10.5194/gmd-8-1097-2015


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