Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.

Coarse woody debris (CWD) is a significant component of the forest biomass pool; hence a model is warranted to predict CWD decomposition and its role in forest carbon (C) and nutrient cycling under varying management and climatic conditions. A process-based model, CWDDAT (Coarse Woody Debris Decompo...

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Autores principales:	Zhaohua Dai, Carl C Trettin, Andrew J Burton, Martin F Jurgensen, Deborah S Page-Dumroese, Brian T Forschler, Jonathan S Schilling, Daniel L Lindner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ee052657a8ee49799fea332493cf94c4
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spelling	oai:doaj.org-article:ee052657a8ee49799fea332493cf94c42021-12-02T20:09:20ZCoarse Woody Debris Decomposition Assessment Tool: Model validation and application.1932-620310.1371/journal.pone.0254408https://doaj.org/article/ee052657a8ee49799fea332493cf94c42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254408https://doaj.org/toc/1932-6203Coarse woody debris (CWD) is a significant component of the forest biomass pool; hence a model is warranted to predict CWD decomposition and its role in forest carbon (C) and nutrient cycling under varying management and climatic conditions. A process-based model, CWDDAT (Coarse Woody Debris Decomposition Assessment Tool) was calibrated and validated using data from the FACE (Free Air Carbon Dioxide Enrichment) Wood Decomposition Experiment utilizing pine (Pinus taeda), aspen (Populous tremuloides) and birch (Betula papyrifera) on nine Experimental Forests (EF) covering a range of climate, hydrology, and soil conditions across the continental USA. The model predictions were evaluated against measured FACE log mass loss over 6 years. Four widely applied metrics of model performance demonstrated that the CWDDAT model can accurately predict CWD decomposition. The R2 (squared Pearson's correlation coefficient) between the simulation and measurement was 0.80 for the model calibration and 0.82 for the model validation (P<0.01). The predicted mean mass loss from all logs was 5.4% lower than the measured mass loss and 1.4% lower than the calculated loss. The model was also used to assess the decomposition of mixed pine-hardwood CWD produced by Hurricane Hugo in 1989 on the Santee Experimental Forest in South Carolina, USA. The simulation reflected rapid CWD decomposition of the forest in this subtropical setting. The predicted dissolved organic carbon (DOC) derived from the CWD decomposition and incorporated into the mineral soil averaged 1.01 g C m-2 y-1 over the 30 years. The main agents for CWD mass loss were fungi (72.0%) and termites (24.5%), the remainder was attributed to a mix of other wood decomposers. These findings demonstrate the applicability of CWDDAT for large-scale assessments of CWD dynamics, and fine-scale considerations regarding the fate of CWD carbon.Zhaohua DaiCarl C TrettinAndrew J BurtonMartin F JurgensenDeborah S Page-DumroeseBrian T ForschlerJonathan S SchillingDaniel L LindnerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254408 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhaohua Dai Carl C Trettin Andrew J Burton Martin F Jurgensen Deborah S Page-Dumroese Brian T Forschler Jonathan S Schilling Daniel L Lindner Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
description	Coarse woody debris (CWD) is a significant component of the forest biomass pool; hence a model is warranted to predict CWD decomposition and its role in forest carbon (C) and nutrient cycling under varying management and climatic conditions. A process-based model, CWDDAT (Coarse Woody Debris Decomposition Assessment Tool) was calibrated and validated using data from the FACE (Free Air Carbon Dioxide Enrichment) Wood Decomposition Experiment utilizing pine (Pinus taeda), aspen (Populous tremuloides) and birch (Betula papyrifera) on nine Experimental Forests (EF) covering a range of climate, hydrology, and soil conditions across the continental USA. The model predictions were evaluated against measured FACE log mass loss over 6 years. Four widely applied metrics of model performance demonstrated that the CWDDAT model can accurately predict CWD decomposition. The R2 (squared Pearson's correlation coefficient) between the simulation and measurement was 0.80 for the model calibration and 0.82 for the model validation (P<0.01). The predicted mean mass loss from all logs was 5.4% lower than the measured mass loss and 1.4% lower than the calculated loss. The model was also used to assess the decomposition of mixed pine-hardwood CWD produced by Hurricane Hugo in 1989 on the Santee Experimental Forest in South Carolina, USA. The simulation reflected rapid CWD decomposition of the forest in this subtropical setting. The predicted dissolved organic carbon (DOC) derived from the CWD decomposition and incorporated into the mineral soil averaged 1.01 g C m-2 y-1 over the 30 years. The main agents for CWD mass loss were fungi (72.0%) and termites (24.5%), the remainder was attributed to a mix of other wood decomposers. These findings demonstrate the applicability of CWDDAT for large-scale assessments of CWD dynamics, and fine-scale considerations regarding the fate of CWD carbon.
format	article
author	Zhaohua Dai Carl C Trettin Andrew J Burton Martin F Jurgensen Deborah S Page-Dumroese Brian T Forschler Jonathan S Schilling Daniel L Lindner
author_facet	Zhaohua Dai Carl C Trettin Andrew J Burton Martin F Jurgensen Deborah S Page-Dumroese Brian T Forschler Jonathan S Schilling Daniel L Lindner
author_sort	Zhaohua Dai
title	Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
title_short	Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
title_full	Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
title_fullStr	Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
title_full_unstemmed	Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.
title_sort	coarse woody debris decomposition assessment tool: model validation and application.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/ee052657a8ee49799fea332493cf94c4
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Coarse Woody Debris Decomposition Assessment Tool: Model validation and application.

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