文献类型： 外文期刊

作者： Li, Ting ¹ ; Liu, Yang ⁵ ; Wang, Qi ⁶ ; Lai, Changhong ⁵ ; Qiu, Yuming ⁸ ; Tissue, David T. ⁴ ; Xiao, Jiangtao ¹ ; Li, Xuhua ⁹ ; Peng, Li ¹ ;

作者机构： 1.Sichuan Normal Univ, Key Lab Evaluat & Monitoring Southwest Land Resour, Minist Educ, Chengdu 610068, Peoples R China

2.Sichuan Normal Univ, Fac Geog Resource Sci, Chengdu 610068, Peoples R China

3.China West Normal Univ, Key Lab Southwest Wildlife Resources Conservat, Minist Educ, Nanchong 637001, Peoples R China

4.Western Sydney Univ, Hawkesbury Inst Environm, Penrith, NSW 2751, Australia

5.Sichuan Forestry & Grassland Res & Planning Inst, Chengdu 610041, Peoples R China

6.Chinese Acad Fishery Sci, Minist Agr, Key Lab Aquat Genom, Beijing 100141, Peoples R China

7.Chinese Acad Fishery Sci, Beijing Key Lab Fishery Biotechnol, Beijing 100141, Peoples R China

8.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400000, Peoples R China

9.Sichuan Acad Forestry, Chengdu 610081, Peoples R China

关键词： climate change; environmental context; forest structure; net C change

期刊名称：ENVIRONMENTAL RESEARCH LETTERS （ 影响因子：6.947； 五年影响因子：8.414 ）

ISSN： 1748-9326

年卷期： 2022 年 17 卷 12 期

页码：

收录情况： SCI

摘要： 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.