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Scale-dependence of resource-biodiversity relationships
Joshua S Weitz1, Daniel H Rothman
1Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. jsweitz@segovia.mit.edu
Journal of Theoretical Biology
|October 25, 2003
Summary
Resource availability and species richness show a unimodal relationship at small scales due to resource patch tradeoffs. This shifts to a monotonically increasing relationship at larger scales, depending on the species pool.
Area of Science:
- Ecology
- Spatial Ecology
- Theoretical Ecology
Background:
- The relationship between resource availability and species richness is a fundamental ecological question.
- Understanding how this relationship varies across different spatial scales is crucial for ecological theory and conservation.
Purpose of the Study:
- To investigate the functional relationship between resource availability and species richness at both community (small) and regional (large) spatial scales.
- To elucidate the theoretical underpinnings of scale-dependent species-richness patterns.
- To explore the role of resource patch dynamics and species pool characteristics.
Main Methods:
- Utilized a multi-species contact process on a heterogeneous landscape, a stochastic spatial model.
- Applied percolation theory and the theory of competitive exclusion processes.
- Conducted Monte Carlo simulations at both small and regional scales.
Main Results:
- Demonstrated that a unimodal resource-species relationship at small scales arises from a tradeoff between resource patch availability and connectivity.
- Showed that regional-scale relationships transition to a monotonically increasing pattern.
- Identified the presence of a resource-dependent species pool as critical for this scale transition.
Conclusions:
- The observed scale-dependent patterns in species richness are explained by the interplay of local resource dynamics and regional species pool structure.
- Theoretical predictions of the scale transition were confirmed through simulations.
- Spatial correlations in resource and species distribution may influence these patterns.