Integrating the underlying structure of stochasticity into community ecology. Issue 2 (26th December 2019)

• Record Type: Journal Article
• Authors: Shoemaker, Lauren G.; Sullivan, Lauren L.; Donohue, Ian; Cabral, Juliano S.; Williams, Ryan J.; Mayfield, Margaret M.; Chase, Jonathan M.; Chu, Chengjin; Harpole, W. Stanley; Huth, Andreas; HilleRisLambers, Janneke; James, Aubrie R. M.; Kraft, Nathan J. B.; May, Felix; Muthukrishnan, Ranjan; Satterlee, Sean; Taubert, Franziska; Wang, Xugao; Wiegand, Thorsten; Yang, Qiang; Abbott, Karen C.
• Is Part Of: Ecology. Volume 101:Issue 2(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-26
• Subjects: autocorrelation -- demographic stochasticity -- distribution -- diversity -- environmental stochasticity -- population dynamics -- scale -- uncertainty; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.2922
• Languages: English
• ISSNs: 0012-9658

Abstract

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.