Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(10)
Published: Sept. 26, 2024
Language: Английский
Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1338 - 1338
Published: July 4, 2023
Despite the Yangtze River Basin (YRB)’s abundant land and forestry resources, there is still a dearth of research on forecasting habitat quality changes resulting from various geographic environmental factors that drive landscape transformations. Hence, this study concentrates YRB as focal area, with aim utilizing Patch Landscape Upscaling Simulation model (PLUS) to scrutinize spatial distribution patterns evolution HQ under four scenarios: natural development scenario (NDS), farmland protection (CPS), urban (UDS), ecological (EPS), spanning past 2030. Our results show (1) 2000 2020, construction in expanded at high dynamic rate 47.86% per year, leading decrease 32,776 km2 cultivated area; (2) UDS had most significant expansion land, followed by NDS, CPS, EPS, which higher proportions ecologically used such forests grasslands; (3) index ranged 0.211 0.215 (low level), showing slight upward trend, drastic occurring low-level areas (−0.49%); (4) EPS highest (0.231), CPS (0.215), increasing proportion lower-level 2.64%; (5) addition government policies, NDVI, DEM, GDP, population were also affecting pattern quality.
Language: Английский
Citations
36
Chinese Geographical Science, Journal Year: 2024, Volume and Issue: 34(3), P. 519 - 532
Published: March 18, 2024
Language: Английский
Citations
10
Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 377, P. 134474 - 134474
Published: Oct. 4, 2022
Language: Английский
Citations
20
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 10, 2024
Abstract Since the reform and opening up in 1978, Dasi River Basin within Jinan’s startup area from replacing old growth drivers with new ones (startup area) has experienced rapid urbanization industrialization, landscape pattern changed significantly, resulting a series of eco-environmental problems. In order to more accurately identify vulnerable areas pattern, understand their cause mechanism changing laws, provide theoretical basis for implementation sustainable planning management region. Four Landsat images 2002, 2009, 2015 2020 were taken as data sources, optimal granularity analysis was determined perspective level class by using coefficient variation method, effect curve information loss model, amplitude grid method semi-variance function. Then, vulnerability assessment model constructed based on scale, its spatiotemporal evolution characteristics spatial autocorrelation analyzed. The result showed that: (1) this study 80 m, 350 × m. (2) During 2002–2020, overall southern part an increasing trend, while that middle northern parts decreasing trend. (3) mean values index 0.1479, 0.1483, 0.1562 0.1625, respectively, showing trend year year. terms land use, during average indices forestland built increased 23.18% 21.43%, followed water body bare land, 12.18% 9.52%, changes cropland grassland relatively small, 5.36% 5.65%, respectively. (4) significant positive correlation distribution. Low-Low generally transferred southeastern midwestern northern, High–High mainly southern. Overall, degree agglomeration
Language: Английский
Citations
4
Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)
Published: March 12, 2025
Language: Английский
Citations
0
Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)
Published: March 19, 2025
Language: Английский
Citations
0
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1248 - 1248
Published: April 1, 2025
Under global climate change, the ecological vulnerability issue in Mongolia has become increasingly severe. However, change process of environment and dominant driving factors different periods sub-regions are not clear. In this paper, we propose a new index for using MODIS data, combined with Geographical Detector gravity center model, to reveal spatiotemporal changes mechanisms from 2000 2022. The results show following: (1) newly proposed remote sensing high applicability ecosystems mainly Mongolia, an accuracy rate 89.39%; (2) belongs category moderate vulnerability, average 1.57, is shifting toward southwest direction; (3) Tmax leading factor especially at altitudes arid regions, where it directly affects vegetation growth, desertification, water availability. interactive have shifted ∩ Tmin PRE, PRE being eastern, central, southern regions western region, northwestern region. This study provides system constructing offers scientific references regional protection Mongolia.
Language: Английский
Citations
0
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
Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown
Published: May 12, 2025
ABSTRACT As a key indicator of regional sustainable development, in‐depth study ecological vulnerability (EV) is conducive to the realization precise protection. However, complexity environment causes driving mechanism EV be difficult clarify, particularly for areas with special natural climates. This developed comprehensive natural‐social‐economic‐pollution‐environmental (NSEPE) index system and analytical framework typical arid areas, revealing EV's spatiotemporal heterogeneity factors. Based on structural equation modeling, spatial dominant factors was clarified. Finally, in 2035 under different scenarios predicted using CA‐Markov model. The results indicated that: (1) Ecological grades exhibited southeast‐northwest increasing trend (2000–2020), 9.6% transitioning from high low vulnerability. (2) three precipitation, farmers' income, Normalized Difference Vegetation Index (NDVI) were most important causing area. (3) Sustainable development better support protection human‐nature harmony by predicting 2035. can quantitatively identify law its influencing factors, also provides feasible idea evolution complex environments frequent human activities.
Language: Английский
Citations
0
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 426, P. 139160 - 139160
Published: Oct. 7, 2023
Language: Английский
Citations
7