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Evaluating LiDAR-Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests.

Marissa H Chase1, Alexandra Harmon-Threatt2, Samuel F Stickley1

  • 1Department of Natural Resources and Environmental Sciences University of Illinois Urbana Illinois USA.

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Summary
This summary is machine-generated.

Forest structure impacts bee communities, but light detection and ranging (LiDAR) metrics were weak predictors. Understory and midstory vegetation density, not LiDAR, best explained forest bee diversity and abundance patterns.

Keywords:
LiDARbeesforest ecology and managementremote sensingstructural complexity

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Area of Science:

  • Ecology
  • Forestry
  • Entomology

Background:

  • Forest structural complexity influences insect habitat and resources.
  • Temperate deciduous forests support vital bee communities and pollination services.
  • The relationship between forest structure and bee communities, especially in managed forests, is understudied.

Purpose of the Study:

  • To investigate if light detection and ranging (LiDAR) derived structural metrics predict bee diversity, abundance, and functional traits.
  • To assess how forest management affects structural complexity.
  • To determine the relationship between structural metrics and forest bee communities in managed and unmanaged forests.

Main Methods:

  • Utilized LiDAR data to derive forest structural metrics.
  • Collected data on bee diversity, abundance, and functional traits.
  • Analyzed the predictive power of structural metrics on bee communities in spring and summer.

Main Results:

  • LiDAR-derived metrics did not effectively differentiate management types or predict bee diversity and abundance.
  • Understory vegetation density (0-2m) positively correlated with spring bee diversity and abundance.
  • Mid-canopy vegetation density (2-5m) negatively correlated with summer bee communities.

Conclusions:

  • Forest management's effect on structural complexity was not clearly detected by LiDAR metrics.
  • Understory and midstory vegetation structure, particularly density, are key drivers of forest bee community patterns.
  • Future research should focus on these strata to understand and monitor forest bee biodiversity.