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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, A.; Christoffersen, B. O.; Galbraith, D. R.; Imbuzeiro, H. M. A.; Powell, T. L.; Doughty, C.; Levine, N. M.; Malhi, Y.; Saleska, S. R.; Moorcroft, P. R.; Meir, P.; Williams, M.

Description

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: 2015-04-21
Type: Journal article
URI: http://hdl.handle.net/1885/15335
Source: Geoscientific Model Development
DOI: 10.5194/gmd-8-1097-2015

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