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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1465475

Ecological risk assessment and influencing factors analysis of the Yellow River Basin based on LUCC and Boosted Regression Tree

Provisionally accepted
Jixuan Yan Jixuan Yan *Xiangdong Yao Xiangdong Yao Qiang Li Qiang Li Miao Song Miao Song Jie Li Jie Li Guang Li Guang Li Guangping Qi Guangping Qi Hongqiang Qiao Hongqiang Qiao Pengcheng Gao Pengcheng Gao Meihua Zhang Meihua Zhang
  • Gansu Agricultural University, Lanzhou, China

The final, formatted version of the article will be published soon.

    The Yellow River Basin is an important ecological security barrier and ecologically vulnerable region in China. Landscape ecological risk assessment and influencing factors analysis based on land-use/land-cover change (LUCC) and boosted regression tree (BRT) models are of great significance to the coordinated and sustainable development of regional ecological environment and social economy. Based on LUCC and driving factor data from 1980 to 2020. The ecological risk index (ERI) model was constructed to evaluate the spatio-temporal evolution characteristics of ecological risk in the past 40 years. Especially, a new method of influencing factors analysis based on BRT model is proposed. The final index size of the influencing factors were further quantitatively evaluated. The results showed that the spatial distribution pattern of landscape ecological risk in the Yellow River Basin was “highest in the north and lowest in the south, highest in the west and lowest in the east”. During the periods, the overall ecological risk and high risk increased first and then decreased. Elevation (24.8%) was the most important factor affecting landscape ecological risk, followed by precipitation (17.8%), GDP (15.2%) and temperature (14.6%). It showed that the particularity of the geographical location of the Yellow River Basin eventually led to the stronger influence of natural factors on the change of landscape ecological risk under the interference of human activities. This study will provide a new perspective for quantitative assessment of the final contribution rate of landscape ecological risk factors.

    Keywords: Landscape ecological risk assessment, BRT model, influencing factor, LUCC, Yellow River Basin

    Received: 16 Jul 2024; Accepted: 04 Sep 2024.

    Copyright: © 2024 Yan, Yao, Li, Song, Li, Li, Qi, Qiao, Gao and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jixuan Yan, Gansu Agricultural University, Lanzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.