Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area

Abstract Forests contain one of the world’s largest carbon (C) pools and represent opportunities for cost-effective climate change mitigation through programmes such as the United Nations-led “Reducing Emissions from Deforestation and Forest Degradation” Programme (REDD). Generic estimates for the c...

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Autores principales: Huili Wu, Wenhua Xiang, Xi Fang, Pifeng Lei, Shuai Ouyang, Xiangwen Deng
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f8
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spelling oai:doaj.org-article:e3e701e1473e4d9aae4a6640d27cd5f82021-12-02T16:08:08ZTree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area10.1038/s41598-017-05306-z2045-2322https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f82017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05306-zhttps://doaj.org/toc/2045-2322Abstract Forests contain one of the world’s largest carbon (C) pools and represent opportunities for cost-effective climate change mitigation through programmes such as the United Nations-led “Reducing Emissions from Deforestation and Forest Degradation” Programme (REDD). Generic estimates for the conversion of forest biomass into C stock are not sufficiently accurate for assessing the utility of harvesting forest to offset carbon dioxide emissions, currently under consideration by the REDD Programme. We examined the variation in C concentration among tree species and tree functional types (classified based on leaf morphological and phenological traits) in a subtropical forest and evaluated the effects of these variations on stand-level estimations of C stock. This study was conducted in the Paiyashan Forest State Farm and the Dashanchong Forest Park, Hunan Province, China. C concentrations differed significantly among tree species (P < 0.0001) and were significantly higher in gymnosperm than angiosperm species. Estimations of stand C stocks were similar using either functional types or species- and tissue-specific C concentrations. The use of functional type classification to estimate stand C stock is an effective tool for implementing C sequestration trade and C credit programmes and the UN-REDD Programme in subtropical forests.Huili WuWenhua XiangXi FangPifeng LeiShuai OuyangXiangwen DengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Huili Wu
Wenhua Xiang
Xi Fang
Pifeng Lei
Shuai Ouyang
Xiangwen Deng
Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
description Abstract Forests contain one of the world’s largest carbon (C) pools and represent opportunities for cost-effective climate change mitigation through programmes such as the United Nations-led “Reducing Emissions from Deforestation and Forest Degradation” Programme (REDD). Generic estimates for the conversion of forest biomass into C stock are not sufficiently accurate for assessing the utility of harvesting forest to offset carbon dioxide emissions, currently under consideration by the REDD Programme. We examined the variation in C concentration among tree species and tree functional types (classified based on leaf morphological and phenological traits) in a subtropical forest and evaluated the effects of these variations on stand-level estimations of C stock. This study was conducted in the Paiyashan Forest State Farm and the Dashanchong Forest Park, Hunan Province, China. C concentrations differed significantly among tree species (P < 0.0001) and were significantly higher in gymnosperm than angiosperm species. Estimations of stand C stocks were similar using either functional types or species- and tissue-specific C concentrations. The use of functional type classification to estimate stand C stock is an effective tool for implementing C sequestration trade and C credit programmes and the UN-REDD Programme in subtropical forests.
format article
author Huili Wu
Wenhua Xiang
Xi Fang
Pifeng Lei
Shuai Ouyang
Xiangwen Deng
author_facet Huili Wu
Wenhua Xiang
Xi Fang
Pifeng Lei
Shuai Ouyang
Xiangwen Deng
author_sort Huili Wu
title Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_short Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_full Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_fullStr Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_full_unstemmed Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_sort tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f8
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AT xifang treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea
AT pifenglei treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea
AT shuaiouyang treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea
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