Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks.

Martinez, Neo D., Tonin, Perrine, Bauer, Barbara, Rael, Rosalyn C., Singh, Rahul, Yoon, Sangyuk, Yoon, Ilmi and Dunne, Jennifer A. (2012) Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks. In: Proceedings of The Association for the Advancement of Artificial Intelligence. . AAAI Press, Palo Alto, Calif., USA, pp. 326-334.

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Abstract

Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of computational analyses of complex ecological networks where the nonlinear dynamics of many interacting species can be more realistically mod-eled and understood. Here, we describe the first extension of this field to include coupled human-natural systems. This extension elucidates new strategies for sustaining extraction of biomass (e.g., fish, forests, fiber) from ecosystems that account for ecological complexity and can pursue multiple goals such as maximizing economic profit, employment and carbon sequestration by ecosystems. Our more realistic modeling of ecosystems helps explain why simpler "maxi-mum sustainable yield" bioeconomic models underpinning much natural resource extraction policy leads to less profit, biomass, and biodiversity than predicted by those simple models. Current research directions of this integrated natu-ral and social science include applying artificial intelligence, cloud computing, and multiplayer online games.

Document Type: Book chapter
Keywords: Food Webs
Research affiliation: OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EOE-N Experimental Ecology - Food Webs
Refereed: Yes
Open Access Journal?: No
Date Deposited: 08 May 2012 10:42
Last Modified: 29 Nov 2012 11:55
URI: http://oceanrep.geomar.de/id/eprint/14251

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