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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 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?

SUBMITTER: Wu H 

PROVIDER: S-EPMC5504068 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

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

Wu Huili H   Xiang Wenhua W   Fang Xi X   Lei Pifeng P   Ouyang Shuai S   Deng Xiangwen X  

Scientific reports 20170710 1


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  ...[more]

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