气候变化领域集成服务门户(CCPortal): Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates

CCPortal

DOI	10.1016/j.ecolind.2024.111554
	Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
	Jia, Ziyu; Zhang, Zhenhao; Cheng, Yunxiang; Buhebaoyin; Borjigin, Shinchilelt; Quan, Zhijia
发表日期	2024
ISSN	1470-160X
EISSN	1872-7034
起始页码	158
卷号	158
英文摘要	Aboveground biomass (AGB) is a key index that reflects grassland health and is of great importance for grassland conservation and sustainable utilization. Many previous studies on grassland AGB were based on the analysis of the whole study period, can't reflect the change of grassland in the short term, which was not conducive to the implementation and revision of policies. And it is still a challenge to accurately describe the response of grassland AGB to climate factors. In this study, we used four machine learning algorithms (kNN, k-nearest neighbor; RF, Random Forest; SVR, Support Vactor Regression; and XGBoost, eXtreme Gradient Boosting) to construct the estimation model of grassland AGB in eastern Inner Mongolia based on grassland AGB measurement data, MODIS (MOD13Q1) data and environmental data (climate and topography). The average distribution of grassland AGB from 2003 to 2021 was calculated based on the optimal grassland AGB estimation model. The changes of grassland AGB from 2003 to 2021 and in every five-year period during the study series were comprehensively analyzed by the Theil-Sen Median trend analysis and the Mann-Kendall test. The response of grassland AGB to climatic factors was investigated using sensitivity analysis. The results showed that (1) the XGBoost model constructed by NDVI, longitude, latitude, temperature, precipitation, elevation, slope, and aspect (NXYTPESA) is the optimal grassland AGB model (R2 = 0.87, RMSE = 14.27 g/m2 ). (2) The 20-year average grassland AGB in Eastern Inner Mongolia showed heterogeneous, with higher values in the northeast and lower values in the southwest. (3) The inter-annual variation fluctuated substantially, and the overall trend was increasing. Compared with other time periods, most grassland AGBs were in an increasing trend during 2008-2012 (79 %) and 2018-2021 (84 %). (4) The grassland AGB in the study area was regulated by temperature and precipitation, and the influence of precipitation was greater than that of temperature. This study provides a new method for estimating grassland AGB and its changes and a scientific basis for the sustainable development of grassland ecosystems in eastern Inner Mongolia.
英文关键词	Grassland; Aboveground biomass; Remote sensing; XGBoost
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:001158732500001
来源期刊	ECOLOGICAL INDICATORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305636
作者单位	Inner Mongolia University; National Institute for Environmental Studies - Japan
推荐引用方式 GB/T 7714	Jia, Ziyu,Zhang, Zhenhao,Cheng, Yunxiang,et al. Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates[J],2024,158.
APA	Jia, Ziyu,Zhang, Zhenhao,Cheng, Yunxiang,Buhebaoyin,Borjigin, Shinchilelt,&Quan, Zhijia.(2024).Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates.ECOLOGICAL INDICATORS,158.
MLA	Jia, Ziyu,et al."Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates".ECOLOGICAL INDICATORS 158(2024).