ORIGINAL RESEARCH
Ecological Risk Assessment of Land-Use in Hainan
Prefecture, China, Based on Landscape Pattern
More details
Hide details
1
College of Forestry, Gansu Agricultural University, Lanzhou 730070, China
2
College of Grassland Agricultural Science and Technology, Lanzhou University, Lanzhou 730000, China
These authors had equal contribution to this work
Submission date: 2024-11-06
Final revision date: 2024-12-25
Acceptance date: 2025-01-17
Online publication date: 2025-03-06
Corresponding author
Hong Tang
College of Forestry, Gansu Agricultural University, Lanzhou 730070, China
KEYWORDS
TOPICS
ABSTRACT
Ecological environmental issues have received extensive attention, and landscape ecological
risk assessment is of great significance for regional sustainable development. Previous studies faced
difficulties in accurately quantifying the impacts of land use changes and the spatio-temporal patterns
of risks due to data limitations and single indicators when evaluating ecological risks in plateau
areas. This led to a lack of effective bases for ecological protection and planning. This study focused
on the land use types in Hainan Prefecture on the eastern edge of the Qinghai-Tibet Plateau from
1980 to 2020. Using the land use vector data, it reclassified the grassland types, analyzed the land
use dynamics and transfer matrices, integrated landscape pattern indices to construct the landscape
ecological risk index, and conducted spatial autocorrelation analysis. The results showed that grassland
accounted for over 62%, mainly with moderate/low coverage; in the past 40 years, cultivated land
and construction land expanded, while grassland decreased and landscape fragmentation intensified;
the comprehensive landscape ecological risk index was approximately 0.124, mostly at medium-low
risk levels; risks exhibited spatial autocorrelation with high-low aggregation characteristics. This study
provides directions for plateau land use planning and risk mitigation, accurately quantifies risk patterns,
facilitates the formulation of targeted ecological protection strategies, and enhances the scientific nature
of regional sustainable development decision-making.