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dc.contributor.authorEvans, MR
dc.contributor.authorBithell, M
dc.contributor.authorCornell, SJ
dc.contributor.authorDall, SR
dc.contributor.authorDíaz, S
dc.contributor.authorEmmott, S
dc.contributor.authorErnande, B
dc.contributor.authorGrimm, V
dc.contributor.authorHodgson, DJ
dc.contributor.authorLewis, SL
dc.contributor.authorMace, GM
dc.contributor.authorMorecroft, M
dc.contributor.authorMoustakas, A
dc.contributor.authorMurphy, E
dc.contributor.authorNewbold, T
dc.contributor.authorNorris, KJ
dc.contributor.authorPetchey, O
dc.contributor.authorSmith, M
dc.contributor.authorTravis, JM
dc.contributor.authorBenton, TG
dc.date.accessioned2016-05-27T10:51:40Z
dc.date.issued2013-11-22
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.en_GB
dc.identifier.citationVol. 280: 20131452en_GB
dc.identifier.doi10.1098/rspb.2013.1452
dc.identifier.otherrspb.2013.1452
dc.identifier.urihttp://hdl.handle.net/10871/21720
dc.language.isoenen_GB
dc.publisherRoyal Societyen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/24089332en_GB
dc.rights& 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.en_GB
dc.subjectclimate changeen_GB
dc.subjectecosystem assessmenten_GB
dc.subjectmodellingen_GB
dc.subjectsystems ecologyen_GB
dc.subjectBiological Evolutionen_GB
dc.subjectClimate Changeen_GB
dc.subjectEcologyen_GB
dc.subjectEcosystemen_GB
dc.subjectForecastingen_GB
dc.subjectHumansen_GB
dc.subjectModels, Biologicalen_GB
dc.subjectSystems Biologyen_GB
dc.subjectUncertaintyen_GB
dc.titlePredictive systems ecologyen_GB
dc.typeArticleen_GB
dc.date.available2016-05-27T10:51:40Z
dc.identifier.issn0962-8452
exeter.place-of-publicationEngland
dc.descriptionThis is the final version of the article. Available from the publisher via the DOI in this record.en_GB
dc.identifier.journalProceedings of the Royal Society B: Biological Sciencesen_GB
dc.identifier.pmcidPMC3790477
dc.identifier.pmid24089332


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