Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143311 - 143311
Published: Aug. 3, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111658 - 111658
Published: Feb. 1, 2024
The imbalance of natural, social, and economic systems has engendered a multitude environmental challenges, resulting in the increasingly vulnerable ecological environments. To mitigate adverse effects external disturbances on ecosystems, vulnerability assessment (EVA) emerged as pivotal research domain science. Therefore, EVA Loess Plateau from 2000 to 2020 was conducted, utilizing sensitivity-resilience-pressure (SRP) model based zoning, identifying its driving factors. findings revealed an overall index (EVI) 0.53, signifying indicating moderate vulnerability, it exhibited decreasing trend, with EVI 0.58, 0.49, respectively. five zones was: S5 (sandy desert region, 0.80) > S3 (agricultural irrigation regions, 0.66) S1 (loess hilly gully 0.52) S4 (river valley plain 0.43) S2 (Earth-rocky mountainous 0.38). Notably, declining pattern observed S5, S1, S3, while experienced increase. Moreover, grade EV reduced northwest southeast during all three periods, distinct positive spatial correlation presence hot spots, sub-hot sub-cold cold spots. Vegetation cover, humidity, dryness were main factors EV, displaying significant interrelationships among indicators. Finally, targeted protective strategies proposed enhance different Plateau. Overall, spatiotemporal variation. This study offered valuable framework applicable arid areas, thereby promoting management healthy development regions.
Language: Английский
Citations
22
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 435, P. 140308 - 140308
Published: Dec. 19, 2023
Language: Английский
Citations
25
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(4), P. 682 - 682
Published: Feb. 14, 2024
As a region susceptible to the impacts of climate change, evaluating temporal and spatial variations in ecological environment quality (EEQ) potential influencing factors is crucial for ensuring security Tibetan Plateau. This study utilized Google Earth Engine (GEE) platform construct Remote Sensing-based Ecological Index (RSEI) examined dynamics Plateau’s EEQ from 2000 2022. The findings revealed that RSEI Plateau predominantly exhibited slight degradation trend 2022, with multi-year average 0.404. Utilizing SHAP (Shapley Additive Explanation) interpret XGBoost (eXtreme Gradient Boosting), identified natural as primary influencers on Plateau, temperature, soil moisture, precipitation variables exhibiting higher values, indicating their substantial contributions. interaction between temperature showed positive effect RSEI, value increasing rising precipitation. methodology results this could provide insights comprehensive understanding monitoring dynamic evolution amidst context change.
Language: Английский
Citations
16
Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111511 - 111511
Published: Jan. 1, 2024
Arid and humid ecosystems are undergoing significant changes over the past decades due to warming temperature frequent occurrence of climate extremes. Quantifying climatic vegetation sensitivity in regions with different classifications is crucial for understanding interaction mechanisms between ongoing change. However, such knowledge about spatiotemporal variations its driving factors arid still unclear. Based on this consideration, a moving-window-based Vegetation Sensitivity Index (VSI) scheme was applied Enhanced (EVI), Leaf Area (LAI), Solar-induced Chlorophyll Fluorescence (GOSIF) data evaluate terrestrial ecosystem response explore from 2003 2020. Results indicated that high VSI (>60) observed tropical rainforests central Eurasia semi-arid regions. By contrast, low (<40) typically Spatially, we found exhibited nonlinear parabolic variation along gradient aridity index but generally presented linear an upward trend Temporally, showed declining two displayed significantly increasing areas. Temperature dominant factor explain spatial globally, while precipitation mainly dominated temporal VSI. The varied across as were main drive classifications, respectively. Our results provide unique insights into future change classifications.
Language: Английский
Citations
9
Sustainability, 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
9
Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113226 - 113226
Published: Feb. 1, 2025
Language: Английский
Citations
1
GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)
Published: Feb. 16, 2024
The recently launched Landsat-9 has an important mission of working together with Landsat-8 to reduce the revisit period Landsat Earth observations eight days. This requires data be highly consistent that avoid bias caused by inconsistency when two satellites are simultaneously used. Therefore, this study evaluated consistency surface reflectance (SR) and land temperature (LST) between based on five test sites from different parts world using synchronized underfly image pairs both satellites. Previous cross-comparisons have demonstrated high spectral bands Landsat-9, differences around 1%. However, it is unclear whether low deviation will amplified in subsequent multiband calculations. It also necessary determine difference across cover types. used a three-level cross-comparison approach specifically examine these concerns. Besides commonly band-by-band comparison, which served as first-level comparison study, included second-level calculations several indicators third-level composite index calculated obtained comparison. found per-band would change after second- comparisons. Remote Sensing Ecological Index (RSEI) was for because integrating four indicators. results show exhibited satellites' SR data, average absolute percent (PC) 1.88% R2 0.957 six sites. increased 2.21% index-based decreasing 0.956. indicates complex calculations, some extent. analyzing specific types, notable emerged water category, PC ranging 18% 35% lower than 0.6. Additionally, there were nearly 5% built-up value 0.7. LST reveals 0.24°C areas but can 0.58°C land-dominated 0.42°C higher desert environments. Overall, consistent. their performance varies depending Caution needed particularly water-related research utilizing simultaneously. Significant discrepancies may arise characterized deserts lands.
Language: Английский
Citations
8
Environmental and Sustainability Indicators, Journal Year: 2024, Volume and Issue: 22, P. 100377 - 100377
Published: March 8, 2024
Spatial ecological vulnerability assessments are important for devising management plans systems to maintain the flow of ecosystem services, especially in mountains. Himalayan mountains, being a fragile ecosystem, have considerable value, however, information on is lacking. The present evaluation attempts prioritize ecosensitive zones by assessing altitudinal Garhwal Himalaya, India framework using mix bio-physical parameters. Eight parameters, viz., Land Use and Cover (LULC), slope, aspect, landscape fragmentation, temperature, precipitation, soil moisture, Normalized Difference Vegetation Index (NDVI)) were identified considered assess vulnerability. Principal Component Analysis (SPCA) results five Components (PCs), which integrated weighted calculation Ecological Vulnerability (EVI). analysis differential across altitudes with above 2000m altitude showed severe classified as potential (36.25 %), slight (35.25 medium (20.25 high (8.25 %) (0.25 %). vulnerable regions prioritized based their per classes region strict protection (24.70 focal (60.41%) composite development (14.89 study suggetsed priority conservation actions addressing areas sustainable region. provides valuable insights associated measures leading most suitable strategies sustainability systems.
Language: Английский
Citations
7
Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111541 - 111541
Published: Jan. 1, 2024
Evaluating the ecological vulnerability of northwestern region Liaoning Province, a typical ecologically vulnerable area in China, and exploring its inherent patterns help formulate effective measures for protection restoration. Existing studies this have focused on county, city, or provincial level, failing to capture overall vulnerability. Based "sensitivity-degradation" model framework, study employed Analytic Hierarchy Process, Principal Component Analysis, geographical detector methods evaluate Province from 2000 2022 analyzed possible driving factors. The results showed that, 2022, areas with moderate higher accounted an average 64.7% total area, while severely extremely 32.5%. These are mainly distributed along both banks Liuhe River northern part where it adjoins Horqin Sandy Land. From decreasing trend, proportion severe significantly 35.6% 8.6%. Vegetation land use were primary factors leading long-term changes This research can also provide example similar issues other areas.
Language: Английский
Citations
6
Progress in Disaster Science, Journal Year: 2024, Volume and Issue: 22, P. 100328 - 100328
Published: April 1, 2024
Ecosystem-based Disaster Risk Reduction (Eco-DRR) reflects the important role that natural ecosystems play in reducing likelihood, severity, and impact of environmental disasters such as landslides. However, landslide risk assessments often lack explicit references to Eco-DRR unified frameworks, notably for its Landslide Susceptibility Assessment (LSA). Here, we assess how ecological factors are integrated into LSAs feasibility measuring them, using open Earth Observation (EO) data. We conduct an exploratory review identifying used ecosystem assessments, determining their commonalities. Key findings indicate standardization is more lacking than LSAs, with former exhibiting a higher dispersion factors—195 identified across 41 papers—compared latter, where only 46 were 30 studies. shared 19 common factors, two, Normalized Differential Vegetation Index (NDVI) Land Use Cover (LULC), being widely accepted criteria. Our study contributes advancing practices by proposing concrete measures expand perspective fostering collaboration between DRR conservation domains. Ultimately, it raises awareness pivotal healthy mitigating addressing societal challenges.
Language: Английский
Citations
5