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Linking intraspecific trait variability and spatial patterns of subtropical trees.

En-Rong Yan1,2,3, Liu-Li Zhou4,5,6, Han Y H Chen7

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Intraspecific trait variability (ITV) significantly influences how species distribute in forests. Aggregated species show stronger trait dispersions, indicating niche processes shape their spatial patterns.

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Area of Science:

  • Ecology
  • Forest Ecology
  • Trait-based Ecology

Background:

  • Intraspecific trait variability (ITV) is crucial for understanding species' ecological roles and distributions.
  • The relationship between ITV and spatial distribution patterns (e.g., random vs. aggregated) remains poorly understood.

Purpose of the Study:

  • To investigate how intraspecific trait dispersions differ between species with aggregated and random spatial distributions.
  • To determine if niche or stochastic processes are the primary drivers of spatial structure based on trait variability.

Main Methods:

  • Utilized an individual tree-based dataset from a subtropical forest plot in China (4.84 ha).
  • Measured key traits: specific leaf area, mean leaf area, leaf dry matter content, and diameter at breast height for 18,773 stems across 45 species.
  • Applied nearest-neighbor distance analysis to assess spatial distribution patterns (random, aggregated, uniform).

Main Results:

  • 31 out of 45 species exhibited aggregated distributions, while 14 showed random distributions; no uniform distributions were observed.
  • Species with aggregated distributions displayed trait dispersions that deviated more strongly from null model expectations compared to randomly distributed species.
  • The degree of deviation in trait dispersion was negatively correlated with the degree of spatial randomness.

Conclusions:

  • Niche processes are the main drivers of spatial structure in aggregated species.
  • Stochastic processes are the primary drivers for species with random spatial distributions.
  • Intraspecific trait variability plays a fundamental role in shaping the spatial patterns of co-existing species.