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Article: Predictive systems ecology

TitlePredictive systems ecology
Authors
KeywordsEcosystem assessment
Climate change
Systems ecology
Modelling
Issue Date2013
Citation
Proceedings of the Royal Society B: Biological Sciences, 2013, v. 280, n. 1771 How to Cite?
AbstractHuman societies, and their well-being, depend to a significant extent on the state of the ecosystems that surround them. These ecosystems are changing rapidly usually in response to anthropogenic changes in the environment. To determine the likely impact of environmental change on ecosystems and the best ways to manage them, it would be desirable to be able to predict their future states. We present a proposal to develop the paradigm of predictive systems ecology, explicitly to understand and predict the properties and behaviour of ecological systems. We discuss the necessary and desirable features of predictive systems ecology models. There are places where predictive systems ecology is already being practised and we summarize a range of terrestrial and marine examples. Significant challenges remain but we suggest that ecology would benefit both as a scientific discipline and increase its impact in society if it were to embrace the need to become more predictive. © 2013 The Author(s) Published by the Royal Society.
Persistent Identifierhttp://hdl.handle.net/10722/230958
ISSN
2015 Impact Factor: 4.823
2015 SCImago Journal Rankings: 2.375

 

DC FieldValueLanguage
dc.contributor.authorEvans, Matthew R.-
dc.contributor.authorBithell, Mike-
dc.contributor.authorCornell, Stephen J.-
dc.contributor.authorDall, Sasha R X-
dc.contributor.authorDíaz, Sandrá-
dc.contributor.authorEmmott, Stephen-
dc.contributor.authorErnande, Bruno-
dc.contributor.authorGrimm, Volker-
dc.contributor.authorHodgson, David J.-
dc.contributor.authorLewis, Simon L.-
dc.contributor.authorMace, Georgina M.-
dc.contributor.authorMorecroft, Michael-
dc.contributor.authorMoustakas, Aristides-
dc.contributor.authorMurphy, Eugene-
dc.contributor.authorNewbold, Tim-
dc.contributor.authorNorris, K. J.-
dc.contributor.authorPetchey, Owen-
dc.contributor.authorSmith, Matthew-
dc.contributor.authorTravis, Justin M J-
dc.contributor.authorBenton, Tim G.-
dc.date.accessioned2016-09-01T06:07:15Z-
dc.date.available2016-09-01T06:07:15Z-
dc.date.issued2013-
dc.identifier.citationProceedings of the Royal Society B: Biological Sciences, 2013, v. 280, n. 1771-
dc.identifier.issn0962-8452-
dc.identifier.urihttp://hdl.handle.net/10722/230958-
dc.description.abstractHuman societies, and their well-being, depend to a significant extent on the state of the ecosystems that surround them. These ecosystems are changing rapidly usually in response to anthropogenic changes in the environment. To determine the likely impact of environmental change on ecosystems and the best ways to manage them, it would be desirable to be able to predict their future states. We present a proposal to develop the paradigm of predictive systems ecology, explicitly to understand and predict the properties and behaviour of ecological systems. We discuss the necessary and desirable features of predictive systems ecology models. There are places where predictive systems ecology is already being practised and we summarize a range of terrestrial and marine examples. Significant challenges remain but we suggest that ecology would benefit both as a scientific discipline and increase its impact in society if it were to embrace the need to become more predictive. © 2013 The Author(s) Published by the Royal Society.-
dc.languageeng-
dc.relation.ispartofProceedings of the Royal Society B: Biological Sciences-
dc.subjectEcosystem assessment-
dc.subjectClimate change-
dc.subjectSystems ecology-
dc.subjectModelling-
dc.titlePredictive systems ecology-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1098/rspb.2013.1452-
dc.identifier.scopuseid_2-s2.0-84900538227-
dc.identifier.volume280-
dc.identifier.issue1771-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.eissn1471-2954-

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