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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| 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 |
| doi_str_mv | 10.1371/journal.pone.0254408 |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0254408</identifier><identifier>PMID: 34242323</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Betula papyrifera ; Biology and Life Sciences ; Biomass ; Calibration ; Carbon ; Carbon - analysis ; Carbon cycle ; Carbon dioxide ; Climate models ; Climatic conditions ; Correlation coefficient ; Correlation coefficients ; Debris ; Decomposition ; Detritus ; Dissolved organic carbon ; Earth Sciences ; Ecology and Environmental Sciences ; Environmental science ; ENVIRONMENTAL SCIENCES ; Forest biomass ; Forest carbon ; Forests ; Funding ; Hardwoods ; Hurricanes ; Hydrology ; Measurement ; Models, Theoretical ; Nutrient cycles ; Organic carbon ; Physical Sciences ; Pine ; Pine trees ; Pinus - chemistry ; Pinus taeda ; Populus tremuloides ; Precipitation ; Research and Analysis Methods ; Science & Technology - Other Topics ; Sea level ; Simulation ; Soil - chemistry ; Soil conditions ; Soils ; Watersheds ; Wood ; Wood - chemistry</subject><ispartof>PloS one, 2021-07, Vol.16 (7), p.e0254408</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>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 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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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.</description><subject>Betula papyrifera</subject><subject>Biology and Life Sciences</subject><subject>Biomass</subject><subject>Calibration</subject><subject>Carbon</subject><subject>Carbon - analysis</subject><subject>Carbon cycle</subject><subject>Carbon dioxide</subject><subject>Climate models</subject><subject>Climatic conditions</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Debris</subject><subject>Decomposition</subject><subject>Detritus</subject><subject>Dissolved organic carbon</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Environmental science</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Forest biomass</subject><subject>Forest carbon</subject><subject>Forests</subject><subject>Funding</subject><subject>Hardwoods</subject><subject>Hurricanes</subject><subject>Hydrology</subject><subject>Measurement</subject><subject>Models, Theoretical</subject><subject>Nutrient cycles</subject><subject>Organic carbon</subject><subject>Physical Sciences</subject><subject>Pine</subject><subject>Pine trees</subject><subject>Pinus - chemistry</subject><subject>Pinus taeda</subject><subject>Populus tremuloides</subject><subject>Precipitation</subject><subject>Research and Analysis Methods</subject><subject>Science & Technology - Other Topics</subject><subject>Sea level</subject><subject>Simulation</subject><subject>Soil - chemistry</subject><subject>Soil conditions</subject><subject>Soils</subject><subject>Watersheds</subject><subject>Wood</subject><subject>Wood - chemistry</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBEQ0Jw0eL4I465QKoKG5WGJrEBl5bjnLSunDjEycT-PU6bTQ3aBcqFY_s5r33e4xNFLxM0TwhPPmxd39bKzhtXwxxhRinKHkXHiSB4lmJEHh_8H0XPvN8ixEiWpk-jI0IxxQST4-hq6VTrIf7lXHEbf4a8NT4M2lWN86Yzro4X3oP3FdRdfO2c_Rh_cwXY-EZZU6gdoeoiVk1jjd7Nn0dPSmU9vBjHk-jH2Zfr5dfZxeX5arm4mGmeiG5GaCJQllOSIyiynCBNcsI0hoIXRAnFCMsI5RzTLBWcM1GmQuUCmEJQYiTISfR6r9tY5-Xoh5fBCiEIT8VArPZE4dRWNq2pVHsrnTJyt-DatVRtZ7QFCYAYThlXGQAVXIgSFCGYCqJLQTUNWp_G0_q8gkIHP1plJ6LTndps5NrdyAxzRDEPAqd7Aec7I702HeiNdnUNupNJxnBC0gC9G09p3e8efCcr4zVYq2pw_ZAcC7UWKWcBffMP-rAFI7VWIUtTly5cTg-icpGmXGQI0yG5-QNU-AqoTLgjlCasTwLeTwIC08Gfbq167-Xq6vv_s5c_p-zbA3YDynYb72w_vCs_Beke1K3zvoXyvhIJkkOD3LkhhwaRY4OEsFeHVbwPuusI8hcGtQlG</recordid><startdate>20210709</startdate><enddate>20210709</enddate><creator>Dai, Zhaohua</creator><creator>Trettin, Carl C</creator><creator>Burton, Andrew J</creator><creator>Jurgensen, Martin F</creator><creator>Page-Dumroese, Deborah S</creator><creator>Forschler, Brian T</creator><creator>Schilling, Jonathan S</creator><creator>Lindner, Daniel L</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0941-8345</orcidid><orcidid>https://orcid.org/0000-0003-0279-7191</orcidid><orcidid>https://orcid.org/0000000302797191</orcidid><orcidid>https://orcid.org/0000000209418345</orcidid></search><sort><creationdate>20210709</creationdate><title>Coarse Woody Debris Decomposition Assessment Tool: Model validation and application</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c719t-341908b43b0ed8b30c3b35c2ed7d3a9a53583477248697759f69ab9e5a0ef2093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Betula papyrifera</topic><topic>Biology and Life Sciences</topic><topic>Biomass</topic><topic>Calibration</topic><topic>Carbon</topic><topic>Carbon - 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34242323</pmid><doi>10.1371/journal.pone.0254408</doi><tpages>e0254408</tpages><orcidid>https://orcid.org/0000-0002-0941-8345</orcidid><orcidid>https://orcid.org/0000-0003-0279-7191</orcidid><orcidid>https://orcid.org/0000000302797191</orcidid><orcidid>https://orcid.org/0000000209418345</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_plos_journals_2549937699 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Betula papyrifera Biology and Life Sciences Biomass Calibration Carbon Carbon - analysis Carbon cycle Carbon dioxide Climate models Climatic conditions Correlation coefficient Correlation coefficients Debris Decomposition Detritus Dissolved organic carbon Earth Sciences Ecology and Environmental Sciences Environmental science ENVIRONMENTAL SCIENCES Forest biomass Forest carbon Forests Funding Hardwoods Hurricanes Hydrology Measurement Models, Theoretical Nutrient cycles Organic carbon Physical Sciences Pine Pine trees Pinus - chemistry Pinus taeda Populus tremuloides Precipitation Research and Analysis Methods Science & Technology - Other Topics Sea level Simulation Soil - chemistry Soil conditions Soils Watersheds Wood Wood - chemistry |
| title | Coarse Woody Debris Decomposition Assessment Tool: Model validation and application |
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