Connecting local and regional scales with stochastic metacommunity models: Competition, ecological drift, and dispersal

Author:

Lerch Brian A.1ORCID,Rudrapatna Akshata2,Rabi Nasser345,Wickman Jonas34,Koffel Thomas34ORCID,Klausmeier Christopher A.34567ORCID

Affiliation:

1. Department of Biology University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

2. College of Medicine, University of Cincinnati Cincinnati Ohio USA

3. W. K. Kellogg Biological Station, Michigan State University Hickory Corners Michigan USA

4. Program in Ecology and Evolutionary Biology Michigan State University East Lansing Michigan USA

5. Department of Integrative Biology Michigan State University East Lansing Michigan USA

6. Department of Plant Biology Michigan State University East Lansing Michigan USA

7. Department of Global Ecology Carnegie Institution for Science Stanford California USA

Abstract

AbstractDespite the well known scale‐dependency of ecological interactions, relatively little attention has been paid to understanding the dynamic interplay between various spatial scales. This is especially notable in metacommunity theory, where births and deaths dominate dynamics within patches (the local scale), and dispersal and environmental stochasticity dominate dynamics between patches (the regional scale). By considering the interplay of local and regional scales in metacommunities, the fundamental processes of community ecology—selection, drift, and dispersal—can be unified into a single theoretical framework. Here, we analyze three related spatial models that build on the classic two‐species Lotka–Volterra competition model. Two open‐system models focus on a single patch coupled to a larger fixed landscape by dispersal. The first is deterministic, while the second adds demographic stochasticity to allow ecological drift. Finally, the third model is a true metacommunity model with dispersal between a large number of local patches, which allows feedback between local and regional scales and captures the well studied metacommunity paradigms as special cases. Unlike previous simulation models, our metacommunity model allows the numerical calculation of equilibria and invasion criteria to precisely determine the outcome of competition at the regional scale. We show that both dispersal and stochasticity can lead to regional outcomes that are different than predicted by the classic Lotka–Volterra competition model. Regional exclusion can occur when the nonspatial model predicts coexistence or founder control, due to ecological drift or asymmetric stochastic switching between basins of attraction, respectively. Regional coexistence can result from local coexistence mechanisms or through competition‐colonization or successional‐niche trade‐offs. Larger dispersal rates are typically competitively advantageous, except in the case of local founder control, which can favor intermediate dispersal rates. Broadly, our models demonstrate the importance of feedback between local and regional scales in competitive metacommunities and provide a unifying framework for understanding how selection, drift, and dispersal jointly shape ecological communities.

Funder

Gordon and Betty Moore Foundation

National Science Foundation

Simons Foundation

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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