dc.contributor.author | Evans, MR | |
dc.contributor.author | Bithell, M | |
dc.contributor.author | Cornell, SJ | |
dc.contributor.author | Dall, SR | |
dc.contributor.author | Díaz, S | |
dc.contributor.author | Emmott, S | |
dc.contributor.author | Ernande, B | |
dc.contributor.author | Grimm, V | |
dc.contributor.author | Hodgson, DJ | |
dc.contributor.author | Lewis, SL | |
dc.contributor.author | Mace, GM | |
dc.contributor.author | Morecroft, M | |
dc.contributor.author | Moustakas, A | |
dc.contributor.author | Murphy, E | |
dc.contributor.author | Newbold, T | |
dc.contributor.author | Norris, KJ | |
dc.contributor.author | Petchey, O | |
dc.contributor.author | Smith, M | |
dc.contributor.author | Travis, JM | |
dc.contributor.author | Benton, TG | |
dc.date.accessioned | 2016-05-27T10:51:40Z | |
dc.date.issued | 2013-11-22 | |
dc.description.abstract | Human 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.citation | Vol. 280: 20131452 | en_GB |
dc.identifier.doi | 10.1098/rspb.2013.1452 | |
dc.identifier.other | rspb.2013.1452 | |
dc.identifier.uri | http://hdl.handle.net/10871/21720 | |
dc.language.iso | en | en_GB |
dc.publisher | Royal Society | en_GB |
dc.relation.url | http://www.ncbi.nlm.nih.gov/pubmed/24089332 | en_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.subject | climate change | en_GB |
dc.subject | ecosystem assessment | en_GB |
dc.subject | modelling | en_GB |
dc.subject | systems ecology | en_GB |
dc.subject | Biological Evolution | en_GB |
dc.subject | Climate Change | en_GB |
dc.subject | Ecology | en_GB |
dc.subject | Ecosystem | en_GB |
dc.subject | Forecasting | en_GB |
dc.subject | Humans | en_GB |
dc.subject | Models, Biological | en_GB |
dc.subject | Systems Biology | en_GB |
dc.subject | Uncertainty | en_GB |
dc.title | Predictive systems ecology | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2016-05-27T10:51:40Z | |
dc.identifier.issn | 0962-8452 | |
exeter.place-of-publication | England | |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Proceedings of the Royal Society B: Biological Sciences | en_GB |
dc.identifier.pmcid | PMC3790477 | |
dc.identifier.pmid | 24089332 | |