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Predictive systems ecology
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790477/ https://www.ncbi.nlm.nih.gov/pubmed/24089332 http://dx.doi.org/10.1098/rspb.2013.1452 |
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author | Evans, Matthew R. Bithell, Mike Cornell, Stephen J. Dall, Sasha R. X. Díaz, Sandra Emmott, Stephen Ernande, Bruno Grimm, Volker Hodgson, David J. Lewis, Simon L. Mace, Georgina M. Morecroft, Michael Moustakas, Aristides Murphy, Eugene Newbold, Tim Norris, K. J. Petchey, Owen Smith, Matthew Travis, Justin M. J. Benton, Tim G. |
author_facet | Evans, Matthew R. Bithell, Mike Cornell, Stephen J. Dall, Sasha R. X. Díaz, Sandra Emmott, Stephen Ernande, Bruno Grimm, Volker Hodgson, David J. Lewis, Simon L. Mace, Georgina M. Morecroft, Michael Moustakas, Aristides Murphy, Eugene Newbold, Tim Norris, K. J. Petchey, Owen Smith, Matthew Travis, Justin M. J. Benton, Tim G. |
author_sort | Evans, Matthew R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3790477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-37904772013-11-22 Predictive systems ecology Evans, Matthew R. Bithell, Mike Cornell, Stephen J. Dall, Sasha R. X. Díaz, Sandra Emmott, Stephen Ernande, Bruno Grimm, Volker Hodgson, David J. Lewis, Simon L. Mace, Georgina M. Morecroft, Michael Moustakas, Aristides Murphy, Eugene Newbold, Tim Norris, K. J. Petchey, Owen Smith, Matthew Travis, Justin M. J. Benton, Tim G. Proc Biol Sci Review Articles 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. The Royal Society 2013-11-22 /pmc/articles/PMC3790477/ /pubmed/24089332 http://dx.doi.org/10.1098/rspb.2013.1452 Text en http://creativecommons.org/licenses/by/3.0/ © 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. |
spellingShingle | Review Articles Evans, Matthew R. Bithell, Mike Cornell, Stephen J. Dall, Sasha R. X. Díaz, Sandra Emmott, Stephen Ernande, Bruno Grimm, Volker Hodgson, David J. Lewis, Simon L. Mace, Georgina M. Morecroft, Michael Moustakas, Aristides Murphy, Eugene Newbold, Tim Norris, K. J. Petchey, Owen Smith, Matthew Travis, Justin M. J. Benton, Tim G. Predictive systems ecology |
title | Predictive systems ecology |
title_full | Predictive systems ecology |
title_fullStr | Predictive systems ecology |
title_full_unstemmed | Predictive systems ecology |
title_short | Predictive systems ecology |
title_sort | predictive systems ecology |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790477/ https://www.ncbi.nlm.nih.gov/pubmed/24089332 http://dx.doi.org/10.1098/rspb.2013.1452 |
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