Ecology Letters · 2003 · 852 citations · 157 references
Species CoexistenceRange ShiftBiodiversitySpecie InteractionEvolutionary BiologyTemporal EcologyCommunity EcologyEcological NetworkSocial SciencesMacroecologySupportive Empirical EvidenceSpatial EcologySpecies Diversity
Trade‑offs in species performance are a common explanation for coexistence, yet most studies focus on a single spatial scale despite growing evidence that local and regional processes jointly shape community structure. This review synthesizes theoretical predictions of trait‑trade‑off relationships across different conditions and spatial scales. The authors present a spatial framework that links observed diversity patterns to the trade‑offs that promote coexistence at multiple scales. Recent laboratory microcosm experiments and phylogenetic analyses demonstrate that trade‑offs evolve under varying conditions, and applying the spatial framework clarifies how these trade‑offs drive community structure and species diversity.
Abstract Trade‐offs in species performances of different ecological functions is one of the most common explanations for coexistence in communities. Despite the potential for species coexistence occurring at local or regional spatial scales, trade‐offs are typically approached at a single scale. In recent years, ecologists have increasingly provided evidence for the importance of community processes at both local and regional spatial scales. This review summarizes the theoretical predictions for the traits associated with trade‐offs under different conditions and at different spatial scales. We provide a spatial framework for understanding trade‐offs, coexistence and the supportive empirical evidence. Predictions are presented that link the patterns of diversity observed to the patterns of trade‐offs that lead to coexistence at different spatial scales. Recent evidence for the evolution of trade‐offs under different conditions is provided which explores both laboratory microcosm studies and phylogenetic tests. Examining trade‐offs within a spatial framework can provide a strong approach to understanding community structure and dynamics, while explaining patterns of species diversity.
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