4.8 Article

Multitrait successional forest dynamics enable diverse competitive coexistence

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1610206114

关键词

niche; coexistence; trait; plant; adaptive dynamics

资金

  1. Australian Research Council (ARC) [DP110102086, DP0877064]
  2. Swedish Research Council Formas
  3. ARC
  4. European Commission
  5. European Science Foundation
  6. Austrian Science Fund
  7. Austrian Ministry of Science and Research
  8. Vienna Science and Technology Fund
  9. Australian Research Council [DP0877064] Funding Source: Australian Research Council

向作者/读者索取更多资源

To explain diversity in forests, niche theory must show how multiple plant species coexist while competing for the same resources. Although successional processes are widespread in forests, theoretical work has suggested that differentiation in successional strategy allows only a few species stably to coexist, including only a single shade tolerant. However, this conclusion is based on current niche models, which encode a very simplified view of plant communities, suggesting that the potential for niche differentiation has remained unexplored. Here, we show how extending successional niche models to include features common to all vegetation-height-structured competition for light under a prevailing disturbance regime and two trait-mediated tradeoffs in plant function-enhances the diversity of species that can be maintained, including a diversity of shade tolerants. We identify two distinct axes of potential niche differentiation, corresponding to the traits leaf mass per unit leaf area and height at maturation. The first axis allows for coexistence of different shade tolerances and the second axis for coexistence among species with the same shade tolerance. Addition of this second axis leads to communities with a high diversity of shade tolerants. Niche differentiation along the second axis also generates regions of trait space wherein fitness is almost equalized, an outcome we term evolutionarily emergent near-neutrality. For different environmental conditions, our model predicts diverse vegetation types and trait mixtures, akin to observations. These results indicate that the outcomes of successional niche differentiation are richer than previously thought and potentially account for mixtures of traits and species observed in forests worldwide.

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