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Hillslope roughness reveals forest sensitivity to extreme winds.
Doane, Tyler H; Yanites, Brian J; Edmonds, Douglas A; Novick, Kimberly A.
Afiliação
  • Doane TH; Department of Earth and Atmospheric Sciences, Indiana University, Bloomington IN 47405.
  • Yanites BJ; Department of Earth and Atmospheric Sciences, Indiana University, Bloomington IN 47405.
  • Edmonds DA; Department of Earth and Atmospheric Sciences, Indiana University, Bloomington IN 47405.
  • Novick KA; O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington IN 47405.
Proc Natl Acad Sci U S A ; 120(3): e2212105120, 2023 01 17.
Article em En | MEDLINE | ID: mdl-36623184
ABSTRACT
Windthrow, or the uprooting of trees by extreme wind gusts, is a natural forest disturbance that creates microhabitats, turns over soil, alters hydrology, and removes carbon from the above-ground carbon stock. Long recurrence intervals between extreme wind events, however, make direct observations of windthrow rare, challenging our understanding of this important disturbance process. To overcome this difficulty, we present an approach that uses the geomorphic record of hillslope topographic roughness as a proxy for the occurrence of windthrow. The approach produces a probability function of the number of annual windthrow events for a maximum wind speed, allowing us to explore how windthrow or tree strengths may change due to shifting wind climates. Slight changes to extreme wind speeds may drive comparatively large changes in windthrow production rates or force trees to respond and change the distribution. We also highlight that topographic roughness has the potential to serve as an important archive of extreme wind speeds.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vento / Florestas Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vento / Florestas Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article