Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks

Neo D Martinez, Perrine Tonin, Barbara Bauer, Rosalyn C. Rael, Rahul Singh, Sangyuk Yoon, Ilmi Yoon, Jennifer A. Dunne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 modeled 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 "maximum 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 natural and social science include applying artificial intelligence, cloud computing, and multiplayer online games.

Original languageEnglish (US)
Title of host publicationProceedings of the National Conference on Artificial Intelligence
Pages326-334
Number of pages9
Volume1
StatePublished - 2012
Externally publishedYes
Event26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 - Toronto, ON, Canada
Duration: Jul 22 2012Jul 26 2012

Other

Other26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12
CountryCanada
CityToronto, ON
Period7/22/127/26/12

Fingerprint

Ecosystems
Economics
Profitability
Biomass
Natural sciences
Social sciences
Biodiversity
Natural resources
Cloud computing
Fish
Artificial intelligence
Carbon
Fibers

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Martinez, N. D., Tonin, P., Bauer, B., Rael, R. C., Singh, R., Yoon, S., ... Dunne, J. A. (2012). Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks. In Proceedings of the National Conference on Artificial Intelligence (Vol. 1, pp. 326-334)

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; Dunne, Jennifer A.

Proceedings of the National Conference on Artificial Intelligence. Vol. 1 2012. p. 326-334.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Martinez, ND, Tonin, P, Bauer, B, Rael, RC, Singh, R, Yoon, S, Yoon, I & Dunne, JA 2012, Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks. in Proceedings of the National Conference on Artificial Intelligence. vol. 1, pp. 326-334, 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12, Toronto, ON, Canada, 7/22/12.
Martinez ND, Tonin P, Bauer B, Rael RC, Singh R, Yoon S et al. Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks. In Proceedings of the National Conference on Artificial Intelligence. Vol. 1. 2012. p. 326-334
Martinez, Neo D ; Tonin, Perrine ; Bauer, Barbara ; Rael, Rosalyn C. ; Singh, Rahul ; Yoon, Sangyuk ; Yoon, Ilmi ; Dunne, Jennifer A. / Sustaining economic exploitation of complex ecosystems in computational models of coupled human-natural networks. Proceedings of the National Conference on Artificial Intelligence. Vol. 1 2012. pp. 326-334
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