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Modelling the disappearance of coarse woody debris, following a land clearing event

BACKGROUND: Land clearing generates coarse woody debris (CWD), much of which ultimately becomes atmospheric CO(2). Schemes for greenhouse gas accounting must consider the contribution from land clearing, but the timing of the contribution will have large uncertainty, due to a paucity of knowledge ab...

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Autores principales: Pringle, Matthew J., Bray, Steven G., Carter, John O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650528/
https://www.ncbi.nlm.nih.gov/pubmed/34874511
http://dx.doi.org/10.1186/s13021-021-00199-y
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author Pringle, Matthew J.
Bray, Steven G.
Carter, John O.
author_facet Pringle, Matthew J.
Bray, Steven G.
Carter, John O.
author_sort Pringle, Matthew J.
collection PubMed
description BACKGROUND: Land clearing generates coarse woody debris (CWD), much of which ultimately becomes atmospheric CO(2). Schemes for greenhouse gas accounting must consider the contribution from land clearing, but the timing of the contribution will have large uncertainty, due to a paucity of knowledge about the rate of CWD disappearance. To better understand above-ground CWD disappearance following a land clearing event—through the actions of microorganisms, invertebrates, wildfire, or deliberate burning—we combined statistical modelling with an archive of semi-quantitative observations (units of CWD %), made within Queensland, Australia. RESULTS: Using a generalised additive mixed-effects model (median absolute error = 14.7%), we found that CWD disappearance was strongly influenced by the: (i) number of years elapsed since clearing; (ii) clearing method; (iii) bioregion (effectively a climate-by-tree species interaction); and (iv) the number of times burned. Years-since-clearing had a strongly non-linear effect on the rate of CWD disappearance. The data suggested that disappearance was reverse-sigmoidal, with little change in CWD apparent for the first three years after clearing. In typical conditions for Queensland, the model predicted that it will take 38 years for 95% of CWD to disappear, following a land clearing event; however, accounting for uncertainty in the data and model, this value could be as few as 5 years, or > 100 years. In contrast, due to an assumption about the propensity of land managers to burn CWD, the official method used to assess Australia’s greenhouse gas emissions predicted that 95% of CWD will disappear in < 1 year. CONCLUSIONS: In Queensland, the CWD generated by land clearing typically takes 38 years to disappear. This ultimately implies that a key assumption of Australia’s official greenhouse gas reporting—i.e. that 98% of CWD is burned soon after a clearing event—does not adequately account for delayed CO(2) emissions.
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spelling pubmed-86505282021-12-08 Modelling the disappearance of coarse woody debris, following a land clearing event Pringle, Matthew J. Bray, Steven G. Carter, John O. Carbon Balance Manag Research BACKGROUND: Land clearing generates coarse woody debris (CWD), much of which ultimately becomes atmospheric CO(2). Schemes for greenhouse gas accounting must consider the contribution from land clearing, but the timing of the contribution will have large uncertainty, due to a paucity of knowledge about the rate of CWD disappearance. To better understand above-ground CWD disappearance following a land clearing event—through the actions of microorganisms, invertebrates, wildfire, or deliberate burning—we combined statistical modelling with an archive of semi-quantitative observations (units of CWD %), made within Queensland, Australia. RESULTS: Using a generalised additive mixed-effects model (median absolute error = 14.7%), we found that CWD disappearance was strongly influenced by the: (i) number of years elapsed since clearing; (ii) clearing method; (iii) bioregion (effectively a climate-by-tree species interaction); and (iv) the number of times burned. Years-since-clearing had a strongly non-linear effect on the rate of CWD disappearance. The data suggested that disappearance was reverse-sigmoidal, with little change in CWD apparent for the first three years after clearing. In typical conditions for Queensland, the model predicted that it will take 38 years for 95% of CWD to disappear, following a land clearing event; however, accounting for uncertainty in the data and model, this value could be as few as 5 years, or > 100 years. In contrast, due to an assumption about the propensity of land managers to burn CWD, the official method used to assess Australia’s greenhouse gas emissions predicted that 95% of CWD will disappear in < 1 year. CONCLUSIONS: In Queensland, the CWD generated by land clearing typically takes 38 years to disappear. This ultimately implies that a key assumption of Australia’s official greenhouse gas reporting—i.e. that 98% of CWD is burned soon after a clearing event—does not adequately account for delayed CO(2) emissions. Springer International Publishing 2021-12-07 /pmc/articles/PMC8650528/ /pubmed/34874511 http://dx.doi.org/10.1186/s13021-021-00199-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pringle, Matthew J.
Bray, Steven G.
Carter, John O.
Modelling the disappearance of coarse woody debris, following a land clearing event
title Modelling the disappearance of coarse woody debris, following a land clearing event
title_full Modelling the disappearance of coarse woody debris, following a land clearing event
title_fullStr Modelling the disappearance of coarse woody debris, following a land clearing event
title_full_unstemmed Modelling the disappearance of coarse woody debris, following a land clearing event
title_short Modelling the disappearance of coarse woody debris, following a land clearing event
title_sort modelling the disappearance of coarse woody debris, following a land clearing event
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650528/
https://www.ncbi.nlm.nih.gov/pubmed/34874511
http://dx.doi.org/10.1186/s13021-021-00199-y
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