
Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112914 - 112914
Published: Dec. 1, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112914 - 112914
Published: Dec. 1, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 140247 - 140247
Published: Dec. 23, 2023
Language: Английский
Citations
25Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447
Published: Feb. 8, 2024
The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.
Language: Английский
Citations
9Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 100, P. 105024 - 105024
Published: Oct. 25, 2023
Language: Английский
Citations
21Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119757 - 119757
Published: Dec. 14, 2023
Language: Английский
Citations
21Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110591 - 110591
Published: July 3, 2023
Ecosystem services (ESs) are closely related to human well-being (HWB). Recently, urbanization has increased worldwide, which had a significant impact on the ecosystem service supply–demand (ESSD) and HWB. However, previous studies have primarily focused spatiotemporal pattern of ESSD HWB, while ignoring their evolutionary pathways, especially in karst areas. We aimed quantify optimal trade-offs under constraints nonlinear relationship between further constructing tree-like framework explore pathways urbanization, ESSD, HWB from landscape evolution perspective. used production possibility frontier (PPF) three ESSDs, generalized additive model (GAM) fit geographic tree (Geotree) construct structure levels, comprehensive (CESD), There is trade-off deficit carbon storage (CS) water yield (WY), but synergy WY surplus FS. Further, there CSs food supply (FS). The response CS not obvious, FS obvious. Based Geotree model, CESD, present strong coupling relationships, show characteristics clustering, stratified heterogeneity, evolution.
Language: Английский
Citations
20Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141322 - 141322
Published: Feb. 21, 2024
Language: Английский
Citations
8Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111935 - 111935
Published: April 1, 2024
Ecosystem services (ESs) research is crucial for comprehending the intricate interplay between humans activities and environment, particularly in ecologically sensitive regions like Central Asia, which straddles transition from semi-arid to arid climates. Despite ecological significance of these regions, on ESs remains limited. In this study, we applied InVEST model analyze spatial characteristics multiple ESs, including water yield (WY), soil retention (SR), carbon storage (CS), habitat quality (HQ), Asia. Our findings unveil significant zonal disparities distribution trade-offs across region. WY, SR WY-SR display distinct vertical zonation patterns, while CS HQ exhibit both latitudinal patterns. Trade-offs, with exception WY-SR, mostly a striped pattern. Additionally, based GeoDetector approach, identified key influencing factors, encompassing land use type, precipitation, evapotranspiration, temperature, vegetation coverage, depth, organic matter. Notably, discovered that relationship factors as well trade-offs, non-linear, certain exhibiting optimal thresholds maintaining either high or low levels trade-offs. This study advances our understanding offering valuable insights regional ecosystem management coordinated development. By shedding light non-linear dynamics their response it underscores importance further support sustainable development efforts regions. Future can build upon develop policies interventions harness benefit environment local communities.
Language: Английский
Citations
7Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112734 - 112734
Published: Oct. 1, 2024
Language: Английский
Citations
6Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9671 - 9684
Published: Jan. 9, 2024
Language: Английский
Citations
4Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103563 - 103563
Published: Feb. 20, 2025
Language: Английский
Citations
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