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Abstract
Mountain forest ecosystems play an important role in global carbon sequestration and may respond differently to variations in climate. The timely and accurate assessment of the factors (abiotic and biotic) that affect forest types will improve our understanding of the ecological mechanisms underlying forest carbon stock and dynamics. Here, we used linear mixed effect models to assess the impact of abiotic and biotic factors on the rate of net tree C accumulation, growth, and mortality, over nearly four decades in 1248 permanent forest plots, in different forest types along an elevational gradient on the eastern Qinghai-Tibet Plateau in China. We found that the annual rise in net tree C stock ranged from 0.13 to 0.23 Mg C ha−1 yr−1, as forest growth increased from 1979 to 2017. The highest rates of growth and mortality were in coniferous broad-leaved mixed forest (CBMF), followed by deciduous broad-leaved forests (BDF), evergreen, deciduous broad-leaved mixed forest (EDBMF), and coniferous forest (CF). Mortality increased in EDBMF and CF during the study period. The most important biotic factors were tree richness and tree density, especially in BDF and CBMF. The most important abiotic factors driving these biological responses were a significant rise in monthly mean temperature (MMT) and a decline in precipitation in the growing season. The decrease in precipitation was negatively correlated with net tree C in CBMF and CF. The increase of MMT was positively correlated with growth and mortality of each forest type, and generally more important than richness and density, and overall had a positive effect on net tree C in CBMF and CF. Overall, we suggest that tree carbon stocks will continue to increase in CBMF and CF in the coming decades due to the warming.
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1 Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University , Chengdu 610068, People’s Republic of China; The Faculty Geography Resource Sciences, Sichuan Normal University , Chengdu 610068, People’s Republic of China; Key Laboratory of Southwest Wildlife Resources Conservation (Ministry of Education), China West Normal University , Nan Chong 637001, People’s Republic of China; Hawkesbury Institute for the Environment, Western Sydney University , Penrith, NSW 2751, Australia
2 Sichuan Forestry and Grassland Research and Planning Institute , Chengdu 610041, People’s Republic of China
3 Key Laboratory of Aquatic Genomics, Ministry of Agriculture, and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences , Beijing 100141, People’s Republic of China
4 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences , Chongqing 400000, People’s Republic of China
5 Hawkesbury Institute for the Environment, Western Sydney University , Penrith, NSW 2751, Australia
6 Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University , Chengdu 610068, People’s Republic of China
7 Sichuan Academy of Forestry , Chengdu 610081, People’s Republic of China
8 Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources (Ministry of Education), Sichuan Normal University , Chengdu 610068, People’s Republic of China; The Faculty Geography Resource Sciences, Sichuan Normal University , Chengdu 610068, People’s Republic of China