Herbivore Types as a Key Driver of Spatial Variations in Aboveground Biomass Trends in Alpine Grasslands

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Authors: yijia Wang, Yanxu Liu, Peng Chen, Zhiyun Jiang, yingchun Fu, Jiaxi Song, Yu Han, Songjun Xu, Bojie Fu
Cited by: 2
References: 53

Abstract

Abstract Managing grazing regimes is a key strategy for promoting the sustainable use of grasslands. The Qinghai‐Xizang Plateau, dominated by alpine grasslands, is subjected to extensive grazing by livestock. Apart from some control experiments, the regional impact of livestock species on alpine grassland has been overlooked, mostly due to the spatial mismatch between statistical livestock data and grassland biomass data. Using cross‐scale feature extraction and random forest models, we developed a 1 km × 1 km gridded long‐term grazing intensity data set distinguishing between herbivore types between cattle and sheep from 2000 to 2019. We used the propensity score matching method to identify the impact of grazing intensity and herbivore types on aboveground biomass on the Qinghai‐Xizang Plateau. The data set demonstrated strong spatio‐temporal consistency with county‐level statistics, with R 2 values above 0.9 and Nash‐Sutcliffe efficiency (NSE) ranging from 0.93 to 0.98. The interannual trends of sheep (mainly Tibetan sheep) and cattle (mainly yaks) were largely opposite, with a significant decline in the sheep‐to‐cattle ratio in 42% of areas. At high grazing intensity, the aboveground biomass increase rate was slower, and aboveground biomass decreased more rapidly with an increasing sheep‐to‐cattle ratio. These findings advance our understanding of the spatio‐temporal dynamics of grazing intensity on the Qinghai‐Xizang Plateau and provide new insights into how grazing intensity and herbivore composition jointly shape alpine grassland productivity at the landscape scale.

Fields of Study & Subjects

Remote Sensing in Agriculture Rangeland Management and Livestock Ecology Land Use and Ecosystem Services

Publication details

Journal / source
Earth s Future
Publisher
American Geophysical Union (AGU)
Volume
14
Issue
2
Publication date
1 February 2026
Language
EN