Estimation of biomass and net primary productivity of major planted forests in China based on forest inventory data |
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| Institution: | 1. Laboratory of Quantitative Vegetation Ecology, Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, PR China;2. College of Urban Science and Tourism, Shanghai Normal University, Shanghai 200234, PR China;1. Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;2. Huanjiang Observation and Research Station for Karst Ecosystem, Chinese Academy of Sciences, Huanjiang 547100, China;3. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, Nanning 530004, China;4. Nanyang Academy of Agriculture Sciences, Nanyang 473000, China;1. State Key Laboratory Base of Eco-Hydraulic in Arid Area, Xi’an University of Technology, Xi’an 710062, PR China;2. College of Tourism and Environmental Sciences, Shaanxi Normal University, Xi’an 710062, PR China;3. School of the Environment, Flinders University of South Australia, Adelaide, SA, Australia;4. CSIRO Land and Water, Canberra, ACT, Australia;5. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, PR China;1. Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;2. Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;3. Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;1. Huitong Experimental Station of Forest Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China;2. College of Landscape Architecture and Forestry, Qingdao Agriculture University, Qingdao 266109, China;3. Huitong National Research Station of Forest Ecosystem, Hunan Key Laboratory for Structure and Ecosystem Service of Subtropical Forest, Huitong 418300, China |
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| Abstract: | Reforestation and afforestation have been suggested as an important land use management in mitigating the increase in atmospheric CO2 concentration under Kyoto Protocol of UN Framework Convention on climate change. Forest inventory data (FID) are important resources for understanding the dynamics of forest biomass, net primary productivity (NPP) and carbon cycling at landscape and regional scales. In this study, more than 300 data sets of biomass, volume, NPP and stand age for five planted forest types in China (Larix, Pinus tabulaeformis, Pinus massoniana, Cunninghamia lanceolata, Pouulus) from literatures were synthesized to develop regression equations between biomass and volume, and between NPP and biomass, and stand age. Based on the fourth FID (1989–1993), biomass and NPP of five planted forest types in China were estimated. The results showed that total biomass and total NPP of the five types of forest plantations were 2.81 Pg (1 Pg = 1015 g) and 235.65 Mg ha−1 yr−1 (1 Mg = 106 g), respectively. The area-weighted mean biomass density (biomass) and NPP of different forest types varied from 44.43 (P. massoniana) to 146.05 Mg ha−1 (P. tabulaeformis) and from 4.41 (P. massoniana) to 7.33 Mg ha−1 yr−1 (Populus), respectively. The biomass and NPP of the five planted forest types were not distributed evenly across different regions in China. Larix forests have the greatest variations in biomass and NPP, ranging from 2.7 to 135.37 Mg ha−1 and 0.9 to 10.3 Mg ha−1 yr−1, respectively. However, biomass and NPP of Populus forests in different region varied less and they were approximately 50 Mg ha−1 and 7–8 Mg ha−1 yr−1, respectively. The distribution pattern of biomass and NPP of different forest types closely related with stand ages and regions. The study provided not only with an estimation biomass and NPP of major planted forests in China but also with a useful methodology for estimating forest carbon storage at regional and global levels. |
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