Research on optimization of ecosystem service function in mudslide disaster area by landscape ecological engineering technology DOI Creative Commons
Juanwen Li

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract At present, the prevention and control of mudslide disasters are mainly based on geotechnical engineering measures, supplemented by landscape ecological ignoring important role in management. In this paper, Bailong River Basin is taken as main research object at macro scale, municipal districts along route typical disaster area meso micro scales. The InVEST model was utilized to evaluate service functions each land pinpoint sensitive areas that influencing evolution functions. quantitative regulation for integrated planning proposed from perspective mitigation through technology. Combined with successful case Region X, it found AWMSI index region increased 56.78 79.03 during period, diversity patches within enhanced, which favorable species exchange biodiversity conservation. mean value Habitat Quality Index (HQI) 0.6147 0.6579, overall level habitat quality improved. annual growth rate MPI 0.0002 a slow rate, but significantly further increase restoration years. study's findings can be scientific basis also serve reference mudflow basins high activity.

Language: Английский

Effects of the Loess Plateau on Habitat Quality of the West Qinling Mountains, China DOI Creative Commons
Caihong Hui, Xuelu Liu, Miaomiao Zhang

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(5)

Published: May 1, 2025

ABSTRACT The West Qinling Mountains is the western extension of Mountains, geographic demarcation line between north and south China. Under control Loess Plateau, northern part has obvious transitional features in terms topography, climate, soil, vegetation. In order to explore effects Plateau on habitat quality (HQ) we selected five typical counties with different percentages area based geomorphic types, water system, vegetation zone, elevation, analyzed spatial temporal differentiation characteristics HQ their influence mechanisms help InVEST model geographical detector (GD) model. results showed that: (1) From 2000 2020, cultivated land continued decrease, while constructed increase. three regions a decreasing trend an increasing forest as within region decreases. Transition Zone increase construction county (2) changes bipolar sharpening phenomenon. moderately low grade high (3) mean first then decreasing. Zone, three‐level gradient low, medium, high. generally distribution south, was mainly distributed north. formation this verified that ecological environment had influenced Mountains. (4) Land use intensity (LUI) population density were dominant factors causing regions, NDVI NPP have always played key role variation synergistic enhancement effect various promotes change regional HQ.

Language: Английский

Citations

0
Assessing the spatiotemporal characteristics and driving factors of habitat quality in sustainable development demonstration zones: a case study of Guilin City, China DOI Creative Commons
Jian Zhong Xu,

Deqin Fan,

Fangzhen Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 24, 2025

Guilin City, located in a typical karst landform area China, is one of the sustainable development demonstration zones. Evaluating habitat quality City and exploring its driving factors are helpful formulating effective measures for development. Based on Integrated Valuation Ecosystem Servicesand Tradeoffs (InVEST) model combined methods such as spatial autocorrelation analysis, Geographical detector Geographically weighted regression (GWR) model, this study evaluated from 2001 to 2022. The also analyzed spatiotemporal characteristics their possible factors. results indicate that: (1) average was 0.59, with 47.98% classified having good or excellent quality; however, has shown downward trend over past 22 years. (2) Moran’s I values were all greater than 0.8, indicating significant positive correlation clustering. Among these, low–low aggregation regions largest, whereas high–high showed most decrease. (3) Elevation factor affecting differentiation Guilin. interactions between various stronger those any single factor, exhibiting dual-factor enhancement effect. This highlights complexity comprehensive impact multiple changes provides scientific basis policy recommendations ecological protection within national agenda’s innovative

Language: Английский

Citations

0
Research on optimization of ecosystem service function in mudslide disaster area by landscape ecological engineering technology DOI Creative Commons
Juanwen Li

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract At present, the prevention and control of mudslide disasters are mainly based on geotechnical engineering measures, supplemented by landscape ecological ignoring important role in management. In this paper, Bailong River Basin is taken as main research object at macro scale, municipal districts along route typical disaster area meso micro scales. The InVEST model was utilized to evaluate service functions each land pinpoint sensitive areas that influencing evolution functions. quantitative regulation for integrated planning proposed from perspective mitigation through technology. Combined with successful case Region X, it found AWMSI index region increased 56.78 79.03 during period, diversity patches within enhanced, which favorable species exchange biodiversity conservation. mean value Habitat Quality Index (HQI) 0.6147 0.6579, overall level habitat quality improved. annual growth rate MPI 0.0002 a slow rate, but significantly further increase restoration years. study's findings can be scientific basis also serve reference mudflow basins high activity.

Language: Английский

Citations

0