4.7 Article

Damage Diversity as a Metric of Structural Complexity after Forest Wind Disturbance

期刊

FORESTS
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/f10020085

关键词

species diversity; structural complexity; legacies; wind damage; uprooting; trunk breakage

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资金

  1. Population & Community Ecology program, of the U.S. National Science Foundation [DEB 114-3511]
  2. Physical & Dynamic Meteorology program, of the U.S. National Science Foundation [AGS 114-1926]
  3. USDA Forest Service Southern Research Station [SRS 01-CA-11330136-405]
  4. Sigma Xi
  5. Cary Institute
  6. Rutgers University
  7. University of Georgia
  8. Andrew Mellon Foundation

向作者/读者索取更多资源

This study presents a new metric for quantifying structural complexity using the diversity of tree damage types in forests that have experienced wind disturbance. Structural complexity studies of forests have to date not incorporated any protocol to address the variety of structural damage types experienced by trees in wind disturbances. This study describes and demonstrates such a protocol. Damage diversity, defined as the richness and evenness of types of tree damage, is calculated analogously to species diversity using two common indices, and termed a Shannon Damage Heterogeneity Index' (Sh-DHI) and an inverse Simpson Damage Heterogeneity Index (iSi-DHI). The two versions of the DHI are presented for >400 plots across 18 distinct wind disturbed forests of eastern North America. Relationships between DHI and pre-disturbance forest species diversity and size variability, as well as wind disturbance severity, calculated as the fraction of basal area downed in a wind disturbance event, are examined. DHIs are only weakly related to pre-disturbance tree species diversity, but are significantly positively related to pre-disturbance tree size inequality (size diversity). Damage diversity exhibits a robust curvilinear relationship to severity; both versions of the DHI show peaks at intermediate levels of wind disturbance severity, suggesting that in turn structural complexity may also peak at intermediate levels of severity.

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