Affiliations 

  • 1 Chang'an University, Xi'an 710061, China
  • 2 School of Architecture, Chang'an University, Xi'an 710061, China
  • 3 School of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an 710054, China; Xi'an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang'an University, Xi'an 710054, China. Electronic address: lpp@chd.edu.cn
  • 4 School of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an 710054, China; Xi'an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang'an University, Xi'an 710054, China
  • 5 Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • 6 Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt
  • 7 River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia
Sci Total Environ, 2024 Oct 15;947:173892.
PMID: 38876337 DOI: 10.1016/j.scitotenv.2024.173892

Abstract

The rapid advancement of global economic integration and urbanization has severely damaged the stability of the ecological environment and hindered the ecological carbon sink capacity. In this study, we evaluated the spatiotemporal evolution pattern of landscape ecological risk (LER) in the Loess Plateau from 2010 to 2020. This was examined under the driving mechanism of human and natural dual factors. We combined the random forest algorithm with the Markov chain to jointly simulate and predict the development trend of LER in 2030. From 2010 to 2020, LER on the Loess Plateau showed a distribution pattern with higher values in the southeast and lower values in the northwest. Under the interaction of human and natural factors, annual precipitation exerted the strongest constraint on LER. The driving of land use and natural factors significantly influenced the spatial differentiation of the LER, with a q-value >0.30. In all three projected scenarios for 2030, there was an increase in construction land area and a significant reduction in cultivated land area. The urban development scenario showed the greatest expansion of high-risk areas, with a 5.29 % increase. Conversely, the ecological protection scenario showed a 1.53 % increase in high-risk areas. The findings have provided a reference for ecological risk prevention and control, and sustainable development of the ecological environment in arid regions.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.