Spatial patterns in ecological systems: from microbial colonies to landscapes

Author:

Martinez-Garcia Ricardo1ORCID,Tarnita Corina E.2,Bonachela Juan A.3

Affiliation:

1. 1ICTP-South American Institute for Fundamental Research, Instituto de Física Teórica UNESP, São Paulo SP, Brazil

2. 2Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, U.S.A.

3. 3Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, U.S.A.

Abstract

Self-organized spatial patterns are ubiquitous in ecological systems and allow populations to adopt non-trivial spatial distributions starting from disordered configurations. These patterns form due to diverse nonlinear interactions among organisms and between organisms and their environment, and lead to the emergence of new (eco)system-level properties unique to self-organized systems. Such pattern consequences include higher resilience and resistance to environmental changes, abrupt ecosystem collapse, hysteresis loops, and reversal of competitive exclusion. Here, we review ecological systems exhibiting self-organized patterns. We establish two broad pattern categories depending on whether the self-organizing process is primarily driven by nonlinear density-dependent demographic rates or by nonlinear density-dependent movement. Using this organization, we examine a wide range of observational scales, from microbial colonies to whole ecosystems, and discuss the mechanisms hypothesized to underlie observed patterns and their system-level consequences. For each example, we review both the empirical evidence and the existing theoretical frameworks developed to identify the causes and consequences of patterning. Finally, we trace qualitative similarities across systems and propose possible ways of developing a more quantitative understanding of how self-organization operates across systems and observational scales in ecology.

Publisher

Portland Press Ltd.

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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