Cargando…

Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis

Coarse woody debris (CWD) is an important component in forests, hosting a variety of organisms that have critical roles in nutrient cycling and carbon (C) storage. We developed a process-based model using literature, field observations, and expert knowledge to assess woody debris decomposition in fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Zhaohua, Trettin, Carl C., Burton, Andrew J., Jurgensen, Martin F., Page-Dumroese, Deborah S., Forschler, Brian T., Schilling, Jonathan S., Lindner, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177548/
https://www.ncbi.nlm.nih.gov/pubmed/34086700
http://dx.doi.org/10.1371/journal.pone.0251893
_version_ 1783703403753373696
author Dai, Zhaohua
Trettin, Carl C.
Burton, Andrew J.
Jurgensen, Martin F.
Page-Dumroese, Deborah S.
Forschler, Brian T.
Schilling, Jonathan S.
Lindner, Daniel L.
author_facet Dai, Zhaohua
Trettin, Carl C.
Burton, Andrew J.
Jurgensen, Martin F.
Page-Dumroese, Deborah S.
Forschler, Brian T.
Schilling, Jonathan S.
Lindner, Daniel L.
author_sort Dai, Zhaohua
collection PubMed
description Coarse woody debris (CWD) is an important component in forests, hosting a variety of organisms that have critical roles in nutrient cycling and carbon (C) storage. We developed a process-based model using literature, field observations, and expert knowledge to assess woody debris decomposition in forests and the movement of wood C into the soil and atmosphere. The sensitivity analysis was conducted against the primary ecological drivers (wood properties and ambient conditions) used as model inputs. The analysis used eighty-nine climate datasets from North America, from tropical (14.2° N) to boreal (65.0° N) zones, with large ranges in annual mean temperature (26.5°C in tropical to -11.8°C in boreal), annual precipitation (6,143 to 181 mm), annual snowfall (0 to 612 kg m(-2)), and altitude (3 to 2,824 m above mean see level). The sensitivity analysis showed that CWD decomposition was strongly affected by climate, geographical location and altitude, which together regulate the activity of both microbial and invertebrate wood-decomposers. CWD decomposition rate increased with increments in temperature and precipitation, but decreased with increases in latitude and altitude. CWD decomposition was also sensitive to wood size, density, position (standing vs downed), and tree species. The sensitivity analysis showed that fungi are the most important decomposers of woody debris, accounting for over 50% mass loss in nearly all climatic zones in North America. The model includes invertebrate decomposers, focusing mostly on termites, which can have an important role in CWD decomposition in tropical and some subtropical regions. The role of termites in woody debris decomposition varied widely, between 0 and 40%, from temperate areas to tropical regions. Woody debris decomposition rates simulated for eighty-nine locations in North America were within the published range of woody debris decomposition rates for regions in northern hemisphere from 1.6° N to 68.3° N and in Australia.
format Online
Article
Text
id pubmed-8177548
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-81775482021-06-07 Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis Dai, Zhaohua Trettin, Carl C. Burton, Andrew J. Jurgensen, Martin F. Page-Dumroese, Deborah S. Forschler, Brian T. Schilling, Jonathan S. Lindner, Daniel L. PLoS One Research Article Coarse woody debris (CWD) is an important component in forests, hosting a variety of organisms that have critical roles in nutrient cycling and carbon (C) storage. We developed a process-based model using literature, field observations, and expert knowledge to assess woody debris decomposition in forests and the movement of wood C into the soil and atmosphere. The sensitivity analysis was conducted against the primary ecological drivers (wood properties and ambient conditions) used as model inputs. The analysis used eighty-nine climate datasets from North America, from tropical (14.2° N) to boreal (65.0° N) zones, with large ranges in annual mean temperature (26.5°C in tropical to -11.8°C in boreal), annual precipitation (6,143 to 181 mm), annual snowfall (0 to 612 kg m(-2)), and altitude (3 to 2,824 m above mean see level). The sensitivity analysis showed that CWD decomposition was strongly affected by climate, geographical location and altitude, which together regulate the activity of both microbial and invertebrate wood-decomposers. CWD decomposition rate increased with increments in temperature and precipitation, but decreased with increases in latitude and altitude. CWD decomposition was also sensitive to wood size, density, position (standing vs downed), and tree species. The sensitivity analysis showed that fungi are the most important decomposers of woody debris, accounting for over 50% mass loss in nearly all climatic zones in North America. The model includes invertebrate decomposers, focusing mostly on termites, which can have an important role in CWD decomposition in tropical and some subtropical regions. The role of termites in woody debris decomposition varied widely, between 0 and 40%, from temperate areas to tropical regions. Woody debris decomposition rates simulated for eighty-nine locations in North America were within the published range of woody debris decomposition rates for regions in northern hemisphere from 1.6° N to 68.3° N and in Australia. Public Library of Science 2021-06-04 /pmc/articles/PMC8177548/ /pubmed/34086700 http://dx.doi.org/10.1371/journal.pone.0251893 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
Dai, Zhaohua
Trettin, Carl C.
Burton, Andrew J.
Jurgensen, Martin F.
Page-Dumroese, Deborah S.
Forschler, Brian T.
Schilling, Jonathan S.
Lindner, Daniel L.
Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title_full Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title_fullStr Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title_full_unstemmed Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title_short Coarse woody debris decomposition assessment tool: Model development and sensitivity analysis
title_sort coarse woody debris decomposition assessment tool: model development and sensitivity analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177548/
https://www.ncbi.nlm.nih.gov/pubmed/34086700
http://dx.doi.org/10.1371/journal.pone.0251893
work_keys_str_mv AT daizhaohua coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT trettincarlc coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT burtonandrewj coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT jurgensenmartinf coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT pagedumroesedeborahs coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT forschlerbriant coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT schillingjonathans coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis
AT lindnerdaniell coarsewoodydebrisdecompositionassessmenttoolmodeldevelopmentandsensitivityanalysis