Landscape Ecological Risk Assessment and Analysis of Influencing Factors in Selenga River Basin

Wangping Li; Qingrun Lin; Junming Hao; Xiaodong Wu; Zhaoye Zhou; Peiqing Lou; Yadong Liu

doi:10.3390/rs15174262

Remote Sensing (Aug 2023)

Landscape Ecological Risk Assessment and Analysis of Influencing Factors in Selenga River Basin

Wangping Li,
Qingrun Lin,
Junming Hao,
Xiaodong Wu,
Zhaoye Zhou,
Peiqing Lou,
Yadong Liu

Affiliations

Wangping Li: School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Qingrun Lin: School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Junming Hao: School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Xiaodong Wu: Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730070, China
Zhaoye Zhou: School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Peiqing Lou: Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730070, China
Yadong Liu: Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730070, China

DOI: https://doi.org/10.3390/rs15174262
Journal volume & issue: Vol. 15, no. 17
p. 4262

Abstract

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Land degradation under the influence of global warming and ecological environmental destruction due to poor land management is the main challenge facing the Mongolian Plateau, and its future ecological risk change trends and drivers are also unclear. Therefore, to address the context relevant to this challenge, planning based on measured information from land use patterns is required. Based on land use and land cover (LULC), this study evaluates the landscape ecological risk (LER) of the Selenga River Basin by calculating the landscape pattern index. The spatiotemporal pattern and influencing factors of landscape ecological risk in the Selenga River Basin from 1990 to 2040 were analyzed. According to the results of LULC analysis, forest and grassland were the primary land use types in the Selenga River Basin. The built area, forest, and cropland showed an increasing trend, while the grassland area showed a fluctuating decreasing trend. From 1990 to 2010, the comprehensive land use dynamic degree showed a trend of rising first and then falling, specifically from 0.13% in 1990 to 0.29% in 2010, and will drop to 0.06% by 2040, indicating that the range of land use change is becoming more and more stable. The landscape ecological risk assessment shows a distribution pattern of “low at the edge and high in the middle”. The landscape ecological risk index (LER) first increases and then decreases, with the peak value in 2010 (0.085). By calculating the spatial aggregation of LER and the partial correlation with climate, we found that the Moran’s I index showed an “anti-V”-shaped change trend from 1990 to 2040, and the average landscape ecological risk presents positive spatial correlation, primarily with high-value aggregation, and peaked in 2010. Precipitation had a negative correlation with landscape ecological risk controlling for temperature, while there was a positive relationship between temperature and landscape ecological risk under the influence of controlling precipitation. This study provides a scientific basis for LULC planning in the Selenga River Basin, and is of great significance for maintaining the ecological security of the Mongolian Plateau.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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