Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China.
Huitong National Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystems in Hunan Province, Huitong, Hunan, 438107, China.
Sci Rep. 2017 Jul 10;7(1):4992. doi: 10.1038/s41598-017-05306-z.
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.
森林是世界上最大的碳（C）库之一，通过联合国主导的“减少森林砍伐和森林退化导致的排放”（REDD）等计划，为实现具有成本效益的气候变化缓解提供了机会。将森林生物量转化为碳储量的通用估计值对于评估通过采伐森林来抵消二氧化碳排放的效用不够准确，目前正在 REDD 计划中进行审议。我们研究了亚热带森林中树种和树木功能类型（根据叶片形态和物候特征进行分类）之间的 C 浓度变化，并评估了这些变化对林分水平碳储量估计的影响。本研究在中国湖南省的排牙山国有林场和大杉冲森林公园进行。树种之间的 C 浓度差异显著（P<0.0001），裸子植物的 C 浓度显著高于被子植物。使用功能类型或物种和组织特异性 C 浓度估算林分 C 储量的结果相似。在亚热带森林中，使用功能类型分类来估算林分 C 储量是实施碳封存贸易和碳信用计划以及联合国 REDD 计划的有效工具。
