Climate change enhances greening while human activities accelerate degradation in northern China's grasslands

被引:0
作者
Cao, Feifei [1 ]
Liu, Leizhen [1 ]
Rong, Yuping [1 ]
Jiang, Nan [2 ]
Zhao, Lin [3 ]
Zhang, Qian [4 ]
Wu, Zhitao [5 ]
Zhao, Wenhui [1 ]
Li, Sheng [1 ]
机构
[1] College of Grassland Science and Technology, China Agricultural University, Beijing
[2] State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing
[3] School of Resource and Environmental Sciences, Wuhan University, Wuhan
[4] School of Geomatics Science and Technology, Nanjing Tech University, Nanjing
[5] Institute of Loess Plateau, Shanxi University, Taiyuan
基金
中国国家自然科学基金;
关键词
Climate change; Grassland dynamics; Grassland types; Greening and degradation; Human activities; Partial derivative analysis;
D O I
10.1016/j.scitotenv.2025.178570
中图分类号
学科分类号
摘要
Northern China's grasslands play a pivotal role in livestock production, energy utilization, and ecosystem balance, both domestically and globally. However, they exhibit pronounced temporal variability and marked spatial heterogeneity. Since most existing studies rely on single vegetation indices and regional-scale analyses, they may introduce biases in interpreting grassland dynamics and their underlying drivers. To address this gap, we integrated both functional and structural indices — Gross Primary Productivity (GPP), solar-Induced chlorophyll fluorescence (SIF), Normalized Difference Vegetation Index (NDVI), and Leaf Area Index (LAI) — to systematically investigate spatiotemporal trends across various grassland types in northern China. Using partial derivative analysis, we quantified the relative contributions of climate change and human activities to these observed vegetation trends. Results indicated that over 70 % of grassland areas, especially temperate grasslands, showed an overall increase in vegetation indices, while a decline was observed in the southwestern alpine grasslands. Climate change was the primary driver of grassland greening (56.55 %–63.83 %), primarily through increased precipitation in temperate grasslands and rising temperatures in alpine grasslands. Human activities contributed substantially to greening (36.17 %–43.45 %), especially in desertified temperate grasslands (e.g., Mu Us Sandy Land, Gansu, Ningxia, Xinjiang) and Qinghai alpine meadows, mainly through farmland restoration and desertification control. Conversely, human activities also served as the primary driver of grassland degradation (51.70 %–69.64 %) in certain alpine regions, where overgrazing and population growth — compounded by rising temperatures and declining soil moisture — led to significant vegetation losses. Moreover, 72.66 % of temperate grasslands demonstrated strong coupling between vegetation structure and function, whereas 57.59 % of alpine grasslands exhibited increasing GPP alongside declines in both LAI and SIF. Overall, these findings underscore the spatial heterogeneity of grassland responses to climatic and anthropogenic drivers, highlighting the necessity of employing multiple vegetation indices to guide targeted and effective grassland management strategies. © 2025
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共 100 条
[51]  
O'Mara F.P., The role of grasslands in food security and climate change, Ann. Bot., 110, 6, pp. 1263-1270, (2012)
[52]  
Pei Y., Dong J., Zhang Y., Yang J., Zhang Y., Jiang C., Xiao X., Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years, Eco. Inform., 56, (2020)
[53]  
Peng S., Ding Y., Liu W., Li Z., 1km monthly temperature and precipitation dataset for China from 1901 to 2017, Earth Syst. Sci. Data, 11, 4, pp. 1931-1946, (2019)
[54]  
Peng S., Ding Y., Wen Z., Chen Y., Cao Y., Ren J., Spatiotemporal change and trend analysis of potential evapotranspiration over the loess plateau of China during 2011–2100, Agric. For. Meteorol., 233, pp. 183-194, (2017)
[55]  
Piao S., Tan J., Chen A., Fu Y.H., Ciais P., Liu Q., Et al., Leaf onset in the northern hemisphere triggered by daytime temperature, Nat. Commun., 6, 1, (2015)
[56]  
Piao S., Wang X., Park T., Chen C., Lian X., He Y., Et al., Characteristics, drivers and feedbacks of global greening, Nature Rev. Earth Environ., 1, 1, pp. 14-27, (2020)
[57]  
Poppe Teran C., Naz B.S., Graf A., Qu Y., Hendricks Franssen H.-J., Baatz R., Et al., Rising water-use efficiency in European grasslands is driven by increased primary production, Commun. Earth Environ., 4, 1, (2023)
[58]  
Qiao K., Zhu W., Xie Z., Application conditions and impact factors for various vegetation indices in constructing the LAI seasonal trajectory over different vegetation types, Ecol. Indic., 112, (2020)
[59]  
Qu S., Wang L., Lin A., Zhu H., Yuan M., What drives the vegetation restoration in Yangtze River basin, China: climate change or anthropogenic factors?, Ecol. Indic., 90, pp. 438-450, (2018)
[60]  
Roderick M.L., Rotstayn L.D., Farquhar G.D., Hobbins M.T., On the attribution of changing pan evaporation, Geophys. Res. Lett., 34, 17, (2007)