Skip navigation
Skip navigation

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.


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
Source: Geoscientific Model Development
DOI: 10.5194/gmd-8-1097-2015


File Description SizeFormat Image
Rowland et al Modelling Climate Change Responses 2015.pdf1.62 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator