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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2017
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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) |
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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 |
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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 |
work_keys_str_mv |
AT huiliwu treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea AT wenhuaxiang treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea AT xifang treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea AT pifenglei treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea AT shuaiouyang treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea AT xiangwendeng treefunctionaltypessimplifyforestcarbonstockestimatesinducedbycarbonconcentrationvariationsamongspeciesinasubtropicalarea |
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1718384625447862272 |