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Predictive systems ecology

  • Matthew R. Evans
  • , Mike Bithell
  • , Stephen J. Cornell
  • , Sasha R.X. Dall
  • , Sandrá Díaz
  • , Stephen Emmott
  • , Bruno Ernande
  • , Volker Grimm
  • , David J. Hodgson
  • , Simon L. Lewis
  • , Georgina M. Mace
  • , Michael Morecroft
  • , Aristides Moustakas
  • , Eugene Murphy
  • , Tim Newbold
  • , K. J. Norris
  • , Owen Petchey
  • , Matthew Smith
  • , Justin M.J. Travis
  • , Tim G. Benton

Research output: Contribution to journalReview articlepeer-review

135 Scopus citations

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.

Original languageEnglish
Article number20131452
JournalProceedings of the Royal Society B: Biological Sciences
Volume280
Issue number1771
DOIs
StatePublished - 2 Oct 2013
Externally publishedYes

Keywords

  • Climate change
  • Ecosystem assessment
  • Modelling
  • Systems ecology

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