气候变化领域集成服务门户(CCPortal): Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020

CCPortal

DOI	10.3389/fpls.2024.1340566
	Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020
	Ma, Lisha; Zheng, Jianghua; Pen, Jian; Xiao, Xianghua; Liu, Yujia; Liu, Liang; Han, Wanqiang; Li, Gangyong; Zhang, Jianli
发表日期	2024
ISSN	1664-462X
起始页码	15
卷号	15
英文摘要	It is crucial to estimate the theoretical carrying capacity of grasslands in Xinjiang to attain a harmonious balance between grassland and livestock, thereby fostering sustainable development in the livestock industry. However, there has been a lack of quantitative assessments that consider long-term, multi-scale grass-livestock balance and its impacts in the region. This study utilized remote sensing and empirical models to assess the theoretical livestock carrying capacity of grasslands. The multi-scale spatiotemporal variations of the theoretical carrying capacity in Xinjiang from 1982 to 2020 were analyzed using the Sen and Mann-Kendall tests, as well as the Hurst index. The study also examined the county-level grass-livestock balance and inter-annual trends. Additionally, the study employed the geographic detector method to explore the influencing factors. The results showed that: (1) The overall theoretical livestock carrying capacity showed an upward trend from 1982 to 2020; The spatial distribution gradually decreased from north to south and from east to west. In seasonal scale from large to small is: growing season > summer > spring > autumn > winter; at the monthly scale, the strongest livestock carrying capacity is in July. The different grassland types from largest to smallest are: meadow > alpine subalpine meadow > plain steppe > desert steppe > alpine subalpine steppe. In the future, the theoretical livestock carrying capacity of grassland will decrease. (2) From 1988 to 2020, the average grass-livestock balance index in Xinjiang was 2.61%, showing an overall increase. At the county level, the number of overloaded counties showed an overall increasing trend, rising from 46 in 1988 to 58 in 2020. (3) Both single and interaction factors of geographic detectors showed that annual precipitation, altitude and soil organic matter were the main drivers of spatiotemporal dynamics of grassland load in Xinjiang. The results of this study can provide scientific guidance and decision-making basis for achieving coordinated and sustainable development of grassland resources and animal husbandry in the region.
英文关键词	aboveground biomass; theoretical livestock carrying capacity; grass-livestock balance; geographic detector; sustainable development
语种	英语
WOS研究方向	Plant Sciences
WOS类目	Plant Sciences
WOS记录号	WOS:001199525900001
来源期刊	FRONTIERS IN PLANT SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304287
作者单位	Xinjiang University; Xinjiang University
推荐引用方式 GB/T 7714	Ma, Lisha,Zheng, Jianghua,Pen, Jian,et al. Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020[J],2024,15.
APA	Ma, Lisha.,Zheng, Jianghua.,Pen, Jian.,Xiao, Xianghua.,Liu, Yujia.,...&Zhang, Jianli.(2024).Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020.FRONTIERS IN PLANT SCIENCE,15.
MLA	Ma, Lisha,et al."Monitoring and influencing factors of grassland livestock overload in Xinjiang from 1982 to 2020".FRONTIERS IN PLANT SCIENCE 15(2024).