Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1002/ecy.2922
Lizenz creative commons licence
Titel (primär) Integrating the underlying structure of stochasticity into community ecology
Autor Shoemaker, L.G.; Sullivan, L.L.; Donohue, I.; Cabral, J.S.; Williams, R.J.; Mayfield, M.M.; Chase, J.M.; Chu, C.; Harpole, W.S. ORCID logo ; Huth, A.; HilleRisLambers, J.; James, A.R.M.; Kraft, N.J.B.; May, F.; Muthukrishnan, R.; Satterlee, S.; Taubert, F.; Wang, X.; Wiegand, T.; Yang, Q.; Abbott, K.C.
Quelle Ecology
Erscheinungsjahr 2020
Department OESA; iDiv; PHYDIV
Band/Volume 101
Heft 2
Seite von e02922
Sprache englisch
Keywords autocorrelation; demographic stochasticity; distribution; diversity; environmental stochasticity; population dynamics; scale; uncertainty
Abstract Stochasticity is a core component of ecology, as it underlies key processes that structure and create variability in nature. Despite its fundamental importance in ecological systems, the concept is often treated as synonymous with unpredictability in community ecology, and studies tend to focus on single forms of stochasticity rather than taking a more holistic view. This has led to multiple narratives for how stochasticity mediates community dynamics. Here, we present a framework that describes how different forms of stochasticity (notably demographic and environmental stochasticity) combine to provide underlying and predictable structure in diverse communities. This framework builds on the deep ecological understanding of stochastic processes acting at individual and population levels and in modules of a few interacting species. We support our framework with a mathematical model that we use to synthesize key literature demonstrating that stochasticity is more than simple uncertainty. Rather, stochasticity has profound and predictable effects on community dynamics that are critical for understanding how diversity is maintained. We propose next steps that ecologists might use to explore the role of stochasticity for structuring communities in theoretical and empirical systems, and thereby enhance our understanding of community dynamics.
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Shoemaker, L.G., Sullivan, L.L., Donohue, I., Cabral, J.S., Williams, R.J., Mayfield, M.M., Chase, J.M., Chu, C., Harpole, W.S., Huth, A., HilleRisLambers, J., James, A.R.M., Kraft, N.J.B., May, F., Muthukrishnan, R., Satterlee, S., Taubert, F., Wang, X., Wiegand, T., Yang, Q., Abbott, K.C. (2020):
Integrating the underlying structure of stochasticity into community ecology
Ecology 101 (2), e02922 10.1002/ecy.2922