IMBIV   05474
INSTITUTO MULTIDISCIPLINARIO DE BIOLOGIA VEGETAL
Unidad Ejecutora - UE
artículos
Título:
Predictive systems ecology
Autor/es:
EVANS,MR; BITHELL, M; CORNELL, S.J; DALL, SRX; DÍAZ, S; ET AL.
Revista:
PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Editorial:
ROYAL SOC
Referencias:
Lugar: Londres; Año: 2013 vol. 280 p. 1 - 10
ISSN:
1364-5021
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.