Predictive systems ecology
; Emmott, Stephen ; Ernande, Bruno ; Grimm, Volker ; Hodgson, David J. ; Lewis, Simon L. ; Mace, Georgina M. ; Morecroft, Micheal ; Moustakas, Aristides ; Murphy, Eugene ; Newbold, Tim ; Norris, K. J ; Petchey, Owen ; Smith, Matthew ; Travis, Justin ; Benton, Tim Otros responsables
Fecha
10/2013
Editorial
The Royal Society
Revista
Proceedings Of The Royal Society Of London Series A-mathematical Physical And Engineering Sciences
Título del libro
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Fecha del evento
Institución organizadora
ISSN
1364-5021
eISSN
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
Resumen
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.
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