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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Autor*in:	Huili Wu [verfasserIn] Wenhua Xiang [verfasserIn] Xi Fang [verfasserIn] Pifeng Lei [verfasserIn] Shuai Ouyang [verfasserIn] Xiangwen Deng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Übergeordnetes Werk:	In: Scientific Reports - Nature Portfolio, 2011, 7(2017), 1, Seite 11
Übergeordnetes Werk:	volume:7 ; year:2017 ; number:1 ; pages:11

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41598-017-05306-z

Katalog-ID:	DOAJ063254263

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allfields	10.1038/s41598-017-05306-z doi (DE-627)DOAJ063254263 (DE-599)DOAJe3e701e1473e4d9aae4a6640d27cd5f8 DE-627 ger DE-627 rakwb eng Huili Wu verfasserin aut Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Medicine R Science Q Wenhua Xiang verfasserin aut Xi Fang verfasserin aut Pifeng Lei verfasserin aut Shuai Ouyang verfasserin aut Xiangwen Deng verfasserin aut In Scientific Reports Nature Portfolio, 2011 7(2017), 1, Seite 11 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:7 year:2017 number:1 pages:11 https://doi.org/10.1038/s41598-017-05306-z kostenfrei https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f8 kostenfrei https://doi.org/10.1038/s41598-017-05306-z kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 1 11
spelling	10.1038/s41598-017-05306-z doi (DE-627)DOAJ063254263 (DE-599)DOAJe3e701e1473e4d9aae4a6640d27cd5f8 DE-627 ger DE-627 rakwb eng Huili Wu verfasserin aut Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Medicine R Science Q Wenhua Xiang verfasserin aut Xi Fang verfasserin aut Pifeng Lei verfasserin aut Shuai Ouyang verfasserin aut Xiangwen Deng verfasserin aut In Scientific Reports Nature Portfolio, 2011 7(2017), 1, Seite 11 (DE-627)663366712 (DE-600)2615211-3 20452322 nnns volume:7 year:2017 number:1 pages:11 https://doi.org/10.1038/s41598-017-05306-z kostenfrei https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f8 kostenfrei https://doi.org/10.1038/s41598-017-05306-z kostenfrei https://doaj.org/toc/2045-2322 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 1 11
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author	Huili Wu
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topic_title	Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
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title	Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
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title_sort	tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
title_auth	Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area
url	https://doi.org/10.1038/s41598-017-05306-z https://doaj.org/article/e3e701e1473e4d9aae4a6640d27cd5f8 https://doaj.org/toc/2045-2322
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author2	Wenhua Xiang Xi Fang Pifeng Lei Shuai Ouyang Xiangwen Deng
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Tree functional types simplify forest carbon stock estimates induced by carbon concentration variations among species in a subtropical area

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