Unstable changes in ecological quality of the four major sandy lands in northern China based on Google Earth Engine

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2025-02-01 DOI:10.1016/j.ecolind.2025.113195

Haowen Ma , Yongfang Wang , Enliang Guo , Shan Yin , Yao Kang , Yanli Wang , Jiapei Zhao , Jisiguleng Wu , Quanfei Mu , Delong Zhou

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Abstract

Based on the Google Earth Engine (GEE) platform, this study constructed a Remote Sensing-based Ecological Index (RSEI) model for four major sandy lands in northern China from 2000 to 2022. RESI incorporates a Bayesian Estimator of Abrupt change, Seasonal change, and Trend (BEAST) to mine abrupt change years and key information within the time series data. Moreover, it combines Geographical Detector (GD) to conduct a detailed quantitative study on the spatiotemporal variation and driving mechanisms of the Ecological Quality (EQ) in these sandy lands at different times and discusses possible causes for abrupt changes in the EQ. The results indicated that from 2000 to 2022, the EQ of all four major sandy lands improved to varying degrees. However, the introduction of BEAST revealed that the RSEI of all four sandy lands experienced abrupt changes in the latter half of the study period, with the EQ in the Horqin and Hulun Buir showing potential for continued improvement post-change. By contrast, the EQ of the Mu Us and Otindag showed a downward trend within certain intervals, indicating instability under adverse natural conditions. Regarding the driving mechanisms, the spatial distribution of the EQ in the four sandy lands was influenced by natural and anthropogenic factors, displaying complex interactions of driving factors within each sandy land. Among them, in the Mu Us, Otindag, and Hulun Buir, natural factors played a dominant role, whereas in the Horqin, anthropogenic factors played a dominant role.

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.