The distribution and role of functional abundance in cross-scale resilience

Sundstrom, Shana M.; Angeler, David G.; Barichievy, Chris; Eason, Tarsha; Garmestani, Ahjond; Gunderson, Lance; Knutson, Melinda; Nash, Kirsty L.; Spanbauer, Trisha; Stow, Craig; Allen, Craig R.

doi:10.1002/ecy.2508

The distribution and role of functional abundance in cross-scale resilience

2018
By Sundstrom, Shana M. ; Angeler, David G. ; Barichievy, Chris ; ...

Public Access Version Available on: January 01, 2030, 12:00 AM

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Journal Title:

Ecology
Personal Author:

Sundstrom, Shana M. ; Angeler, David G. ; Barichievy, Chris ; Eason, Tarsha ; Garmestani, Ahjond ; Gunderson, Lance ; Knutson, Melinda ; Nash, Kirsty L. ; Spanbauer, Trisha ; Stow, Craig ; Allen, Craig R.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory)
Description:

The cross-scale resilience model suggests that system-level ecological resilience emerges from the distribution of species' functions within and across the spatial and temporal scales of a system. It has provided a quantitative method for calculating the resilience of a given system and so has been a valuable contribution to a largely qualitative field. As it is currently laid out, the model accounts for the spatial and temporal scales at which environmental resources and species are present and the functional roles species play but does not inform us about how much resource is present or how much function is provided. In short, it does not account for abundance in the distribution of species and their functional roles within and across the scales of a system. We detail the ways in which we would expect species' abundance to be relevant to the cross-scale resilience model based on the extensive abundance literature in ecology. We also put forward a series of testable hypotheses that would improve our ability to anticipate and quantify how resilience is generated, and how ecosystems will (or will not) buffer recent rapid global changes. This stream of research may provide an improved foundation for the quantitative evaluation of ecological resilience.
Source:

Ecology, 99(11), 2421-2432.
DOI:

https://doi.org/10.1002/ecy.2508
Document Type:

Journal Article
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Submitted
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urn:sha-512:040cf4711f6ceccab87744a277e35df10cfeb3d674186575460f96015211d9d486452a548ce8bcd8dd97a5844230af830c8688ab949adfe27b529bb896d10283
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