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When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests

When standing dead trees (snags) fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon (C) cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. M...

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Autores principales: Oberle, Brad, Ogle, Kiona, Zanne, Amy E., Woodall, Christopher W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942820/
https://www.ncbi.nlm.nih.gov/pubmed/29742158
http://dx.doi.org/10.1371/journal.pone.0196712
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author Oberle, Brad
Ogle, Kiona
Zanne, Amy E.
Woodall, Christopher W.
author_facet Oberle, Brad
Ogle, Kiona
Zanne, Amy E.
Woodall, Christopher W.
author_sort Oberle, Brad
collection PubMed
description When standing dead trees (snags) fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon (C) cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. Managing the consequences of altered snag dynamics in changing forests requires predicting when snags fall as wood decay erodes mechanical resistance to breaking forces. Previous studies have pointed to common predictors, such as stem size, degree of decay and species identity, but few have assessed the relative strength of underlying mechanisms driving snag fall across biomes. Here, we analyze nearly 100,000 repeated snag observations from boreal to subtropical forests across the eastern United States to show that wood decay controls snag fall in ways that could generate previously unrecognized forest-climate feedback. Warmer locations where wood decays quickly had much faster rates of snag fall. The effect of temperature on snag fall was so strong that in a simple forest C model, anticipated warming by mid-century reduced snag C by 22%. Furthermore, species-level differences in wood decay resistance (durability) accurately predicted the timing of snag fall. Differences in half-life for standing dead trees were similar to expected differences in the service lifetimes of wooden structures built from their timber. Strong effects of temperature and wood durability imply future forests where dying trees fall and decay faster than at present, reducing terrestrial C storage and snag-dependent wildlife habitat. These results can improve the representation of forest C cycling and assist forest managers by helping predict when a dead tree may fall.
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spelling pubmed-59428202018-05-18 When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests Oberle, Brad Ogle, Kiona Zanne, Amy E. Woodall, Christopher W. PLoS One Research Article When standing dead trees (snags) fall, they have major impacts on forest ecosystems. Snag fall can redistribute wildlife habitat and impact public safety, while governing important carbon (C) cycle consequences of tree mortality because ground contact accelerates C emissions during deadwood decay. Managing the consequences of altered snag dynamics in changing forests requires predicting when snags fall as wood decay erodes mechanical resistance to breaking forces. Previous studies have pointed to common predictors, such as stem size, degree of decay and species identity, but few have assessed the relative strength of underlying mechanisms driving snag fall across biomes. Here, we analyze nearly 100,000 repeated snag observations from boreal to subtropical forests across the eastern United States to show that wood decay controls snag fall in ways that could generate previously unrecognized forest-climate feedback. Warmer locations where wood decays quickly had much faster rates of snag fall. The effect of temperature on snag fall was so strong that in a simple forest C model, anticipated warming by mid-century reduced snag C by 22%. Furthermore, species-level differences in wood decay resistance (durability) accurately predicted the timing of snag fall. Differences in half-life for standing dead trees were similar to expected differences in the service lifetimes of wooden structures built from their timber. Strong effects of temperature and wood durability imply future forests where dying trees fall and decay faster than at present, reducing terrestrial C storage and snag-dependent wildlife habitat. These results can improve the representation of forest C cycling and assist forest managers by helping predict when a dead tree may fall. Public Library of Science 2018-05-09 /pmc/articles/PMC5942820/ /pubmed/29742158 http://dx.doi.org/10.1371/journal.pone.0196712 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Oberle, Brad
Ogle, Kiona
Zanne, Amy E.
Woodall, Christopher W.
When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title_full When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title_fullStr When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title_full_unstemmed When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title_short When a tree falls: Controls on wood decay predict standing dead tree fall and new risks in changing forests
title_sort when a tree falls: controls on wood decay predict standing dead tree fall and new risks in changing forests
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942820/
https://www.ncbi.nlm.nih.gov/pubmed/29742158
http://dx.doi.org/10.1371/journal.pone.0196712
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