文献类型： 外文期刊

作者： Wu, Yatang ¹ ; Li, Fu ² ; Zhang, Jing ³ ; Liu, Yiliang ³ ; Li, Han ³ ; Zhou, Bingrong ² ; Shen, Beibei ⁴ ; Hou, Lulu ⁵ ; Xu, Dawei ⁵ ; Ding, Lei ⁵ ; Chen, Shiyang ⁵ ; Liu, Xiaoni ¹ ; Peng, Jinbang ⁵ ;

作者机构： 1.Gansu Agr Univ, Pratacultural Coll, Pratacultural Engn Lab Gansu Prov,Sino US Ctr Graz, Minist Sci & Technol,Key Lab Grassland Ecosyst,Min, Lanzhou 730070, Peoples R China

2.Qinghai Inst Meteorol Sci, Xining 810001, Peoples R China

3.Natl Remote Sensing Ctr China, 8A Liulinguan Nanli,Haidian Dist, Beijing 100036, Peoples R China

4.Aerosp Sci & Ind Beijing Spatial Informat Applicat, Beijing 100070, Peoples R China

5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semi arid, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China

6.Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China

关键词： Alpine grassland; Carbon; Belowground biomass; Cubist; Climate change; Altitude

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2024 年 919 卷

页码：

收录情况： SCI

摘要： The sensitivity of grassland above- (AGB, gC m(-2)) and below-ground biomass (BGB, gC m(-2)) to climate has been shown to be significant on the Tibetan Plateau, however, the spatial patterns and sensitivity of biomass with altitudinal change needs to be quantitated. In this study, large data sets of AGB and BGB during the peak growth season, and the corresponding geographical and climate conditions in the grasslands of the Tibetan Plateau between 2001 and 2020 were analyzed, and modelled using a Cubist regression trees algorithm. The mean values for AGB and BGB were 61.3 and 1304.3 gC m(-2), respectively, for the whole region over the two decades. There was a significant change in spatial AGB of 64.8 % on the Plateau (P < 0.05, with areas where AGB increased being twice as large as areas where AGB decreased), while BGB did not change significantly in majority the of the region (>= 90.1 %, P > 0.05). In general, the areas where AGB showed positive partial correlations with precipitation were larger than the areas where AGB had positive correlations with temperature (P < 0.05). However, these trends varied depending on the climatic conditions: in the wetter regions, temperature had a greater effect on the size of the areas with positive AGB responses than precipitation (P < 0.05), while precipitation had a greater effect on the size of areas with positive BGB changes than temperature (P < 0.05). In the drier areas, however, precipitation affected the AGB response significantly compared to temperature (P < 0.05), while temperature influenced the BGB response greater than precipitation (P < 0.05). The response and sensitivity of grassland biomass to temperature and precipitation varied according to the altitude of the Plateau: the response and sensitivity were stronger and more sensitive at medium altitudes, and weak at the higher or lower altitudes. Likely, this phenomenon was resulted from the natural selection of plants to maintain the efficient use of resources during un-favourable and stressed conditions for maximum plant development and growth. These findings will help assess the ecological consequences of global climate change for the grasslands of the Tibetan Plateau, particularly in those regions with highly variable altitudes.