Network modelling is strictly required for predicting climate change impacts on biodiversity

Publication Type  Journal Article
Year of Publication  2013
Authors  Alessandro Ferrarini
Journal Title  Network Biology
Volume  3
Issue  2
Pages  67-73
Journal Date  06/2013
Short Title  Network modelling is strictly required for predicting climate change impacts on biodiversity
Publisher  International Academy of Ecology and Environmental Sciences
ISSN Number  2220-8879
Key Words  biotic interactions; climate impact models; ecological communities; indirect effects; scenarios simulations
Abstract  

Robust models are pivotal to the prediction of future climate change impacts on biodiversity. A move must be made away from individualistic models of single species toward the implication of synergistically interacting species. The focus should be on the indirect effects due to biotic interactions. Thanks to these kinds of models, counterintuitive results for species could be achieved, emerging from complex biotic feedbacks involving that species-specific expectations are not of necessity consistent with those of their community. In this paper, the proposed approaches can tackle some important limitations of commonly-used individualistic models, as they can: a) deal with an optionally large number of species, b) take into account biotic interactions, c) forecast
indirect effects caused by climate change.

URL  http://www.iaees.org/publications/journals/nb/articles/2013-3(2)/network-modelling-for-predicting-climate-change-and-biodiversity.pdf
DOI  DOI 10.0000/issn-2220-8879-networkbiology-2013-v3-0006
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