Simulating social-ecological systems : the Island Digital Ecosystem Avatars (IDEA) consortium

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Date
2016-03-17
Authors
Davies, Neil
Field, Dawn
Gavaghan, David
Holbrook, Sally J.
Planes, Serge
Troyer, Matthias
Bonsall, Michael
Claudet, Joachim
Roderick, George
Schmitt, Russell J.
Amaral-Zettler, Linda A.
Berteaux, Veronique
Bossin, Hervé C.
Cabasse, Charlotte
Collin, Antoine
Deck, John
Dell, Tony
Dunne, Jennifer A.
Gates, Ruth D.
Harfoot, Mike
Hench, James L.
Hopuare, Marania
Kirch, Patrick
Kotoulas, Georgios
Kosenkov, Alex
Kusenko, Alex
Leichter, James J.
Lenihan, Hunter
Magoulas, Antonios
Martinez, Neo
Meyer, Chris
Stoll, Benoit
Swalla, Billie
Tartakovsky, Daniel M.
Teavai Murphy, Hinano
Turyshev, Slava
Valdvinos, Fernanda
Williams, Rich
Wood, Spencer
IDEA Consortium
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DOI
10.1186/s13742-016-0118-5
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Keywords
Computational ecology
Biodiversity
Genomics
Biocode
Earth observations
Social-ecological system
Ecosystem dynamics
Climate change scenarios
Predictive modeling
Abstract
Systems biology promises to revolutionize medicine, yet human wellbeing is also inherently linked to healthy societies and environments (sustainability). The IDEA Consortium is a systems ecology open science initiative to conduct the basic scientific research needed to build use-oriented simulations (avatars) of entire social-ecological systems. Islands are the most scientifically tractable places for these studies and we begin with one of the best known: Moorea, French Polynesia. The Moorea IDEA will be a sustainability simulator modeling links and feedbacks between climate, environment, biodiversity, and human activities across a coupled marine–terrestrial landscape. As a model system, the resulting knowledge and tools will improve our ability to predict human and natural change on Moorea and elsewhere at scales relevant to management/conservation actions.
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© The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in GigaScience 5 (2016): 14, doi:10.1186/s13742-016-0118-5.
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GigaScience 5 (2016): 14
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Except where otherwise noted, this item's license is described as Attribution 4.0 International