Integrating modelling of biodiversity composition and ecosystem function

Mokany, Karel, Ferrier, Simon, Connolly, Sean R., Dunstan, Piers K., Fulton, Elizabeth A., Harfoot, Michael B., Harwood, Thomas D., Richardson, Anthony J., Roxburgh, Stephen H., Scharlemann, Jorn P.W., Tittensor, Derek P., Westcott, David A. and Wintle, Brendan A. (2016) Integrating modelling of biodiversity composition and ecosystem function. Oikos, 125 1: 10-19. doi:10.1111/oik.02792


Author Mokany, Karel
Ferrier, Simon
Connolly, Sean R.
Dunstan, Piers K.
Fulton, Elizabeth A.
Harfoot, Michael B.
Harwood, Thomas D.
Richardson, Anthony J.
Roxburgh, Stephen H.
Scharlemann, Jorn P.W.
Tittensor, Derek P.
Westcott, David A.
Wintle, Brendan A.
Title Integrating modelling of biodiversity composition and ecosystem function
Journal name Oikos   Check publisher's open access policy
ISSN 1600-0706
0030-1299
Publication date 2016-01-01
Year available 2015
Sub-type Article (original research)
DOI 10.1111/oik.02792
Open Access Status Not yet assessed
Volume 125
Issue 1
Start page 10
End page 19
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Subject 1105 Ecology, Evolution, Behavior and Systematics
Abstract There is increasing reliance on ecological models to improve our understanding of how ecological systems work, to project likely outcomes under alternative global change scenarios and to help develop robust management strategies. Two common types of spatiotemporally explicit ecological models are those focussed on biodiversity composition and those focussed on ecosystem function. These modelling disciplines are largely practiced separately, with separate literature, despite growing evidence that natural systems are shaped by the interaction of composition and function. Here we call for the development of new modelling approaches that integrate composition and function, accounting for the important interactions between these two dimensions, particularly under rapid global change. We examine existing modelling approaches that have begun to combine elements of composition and function, identifying their potential contribution to fully integrated modelling approaches. The development and application of integrated models of composition and function face a number of important challenges, including biological data limitations, system knowledge and computational constraints. We suggest a range of promising avenues that could help researchers overcome these challenges, including the use of virtual species, macroecological relationships and hybrid correlative-mechanistic modelling. Explicitly accounting for the interactions between composition and function within integrated modelling approaches has the potential to improve our understanding of ecological systems, provide more accurate predictions of their future states and transform their management.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2016 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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