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AEDT: A new concept for ecological dynamics in the ever-changing world

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  • Peter Chesson

Abstract

The important concept of equilibrium has always been controversial in ecology, but a new, more general concept, an asymptotic environmentally determined trajectory (AEDT), overcomes many concerns with equilibrium by realistically incorporating long-term climate change while retaining much of the predictive power of a stable equilibrium. A population or ecological community is predicted to approach its AEDT, which is a function of time reflecting environmental history and biology. The AEDT invokes familiar questions and predictions but in a more realistic context in which consideration of past environments and a future changing profoundly due to human influence becomes possible. Strong applications are also predicted in population genetics, evolution, earth sciences, and economics.

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  • Peter Chesson, 2017. "AEDT: A new concept for ecological dynamics in the ever-changing world," PLOS Biology, Public Library of Science, vol. 15(5), pages 1-13, May.
    • Handle: RePEc:plo:pbio00:2002634
    DOI: 10.1371/journal.pbio.2002634
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    References listed on IDEAS

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    1. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    2. Svardal, Hannes & Rueffler, Claus & Hermisson, Joachim, 2015. "A general condition for adaptive genetic polymorphism in temporally and spatially heterogeneous environments," Theoretical Population Biology, Elsevier, vol. 99(C), pages 76-97.
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    1. Elena Bisinicu & Valeria Abaza & Laura Boicenco & Filimon Adrian & George-Emanuel Harcota & Oana Marin & Andra Oros & Elena Pantea & Alina Spinu & Florin Timofte & George Tiganov & Oana Vlas & Luminit, 2024. "Spatial Cumulative Assessment of Impact Risk-Implementing Ecosystem-Based Management for Enhanced Sustainability and Biodiversity in the Black Sea," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    2. Ponciano, José M. & Taper, Mark L. & Dennis, Brian, 2018. "Ecological change points: The strength of density dependence and the loss of history," Theoretical Population Biology, Elsevier, vol. 121(C), pages 45-59.

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