Investigating the spatio-temporal pattern evolution characteristics of vegetation change in Shendong coal mining area based on kNDVI and intensity analysis

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Dec. 22, 2023

Alterations in vegetation cover serve as a significant indicator of land ecology. The Shendong Coal Mining Area, being the largest coal base globally, holds importance for national energy security. Moreover, it has gained recognition its environmentally conscious approach to mining, characterized by simultaneous implementation mining activities and effective governance measures. In order assess ongoing recovery temporal changes within we initially utilized Landsat TM/ETM+/OLI remote sensing data. Using Google Earth Engine (GEE), developed novel kernel-normalized index ( kNDVI ) subsequently generated comprehensive dataset spanning years 2000 2020. addition, Sen (Theil-Sen median) trend analysis method MK (Mann-Kendall) test were examine trends over span 21 years. Furthermore, Hurst exponent model was employed forecast persistent changing patterns . utilization intensity ultimately unveil magnitude dynamics. findings indicated notable positive overall study area. relation trends, region underwent slight improvement from 2010, followed 2010 During this transition period, total 289.07 km 2 , which represents 32.36% area, experienced shift vegetation. predictive indicate that while majority areas will exhibit an upward growth, there be certain demonstrate decline. These declining account 39.08% results reveal disparities characteristics growth evolution between periods 2000-2010 2010-2020. Throughout entirety transformation process, prevails terms both relative absolute intensity, surpassing alternative processes. Various transitions display diverse adhere overarching principles governing shifts growth. framework spectrum demonstrates their efficacy elucidating dynamics changes. plays pivotal role surveillance assessment ecological restoration regions. It carries substantial implications comparable efforts reclamation, thereby furnishing theoretical foundation.

Language: Английский

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The Influence of Human Activities and Climate Change on the Spatiotemporal Variations of Eco-Environmental Quality in Shendong Mining Area, China from 1990 to 2023

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2296 - 2296

Published: Feb. 21, 2025

The Shendong mining area is the largest coal production base in western China. Due to long-term activities, ecological environment quality (EEQ) of has undergone significant changes. Investigating evolution EEQ during process mineral resource exploitation great importance for sustainable development area. However, current research lacks a quantitative assessment contributions climate change and human activities spatiotemporal variations In this study, Remote Sensing Ecological Index (RSEI) was used as an evaluation metric. Theil–Sen slope estimation Mann–Kendall test were applied analyze changes from 1990 2023. Additionally, partial derivative method investigate response characteristics climatic factors quantify relative these two driving factors. results indicate that, over past 34 years, overall study shown improving trend. Compared 1990, proportions areas with good-grade excellent-grade 2023 increased by 28% 23.78%, respectively. second phase (2011–2023), average RSEI time series value significantly compared first (1990–2010). Among factors, annual precipitation had greatest impact on EEQ, contribution rate 0.085. conversion unused land forestland improved showing very increase RSEI, accounting 82.30%. region significant, slight increases smaller than conclusion, trend, being dominant factor 71.52% where increased, while 26.89% decreased.

Language: Английский

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A Novel Approach to Automatically Identify Open-Pit Coal Mining Dynamics Based on Temporal Satellite Images

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1029 - 1029

Published: March 15, 2025

Open-pit coal mining drives socioeconomic development but imposes significant environmental impacts. The timely monitoring of dynamics is essential for sustainable resource exploitation and ecological restoration. However, existing studies often rely on predefined boundaries, limiting their applicability in unknown regions. This study proposes an innovative approach that leverages the intra-annual frequency index (ACFI) to identify potential open-pit areas, integrates Rays method monitor temporal changes. By applying a discriminative rule, this effectively distinguishes mines from other disturbances enables spatiotemporal without need prior knowledge locations. Applied Chenbarhu Banner coalfield, Inner Mongolia, achieved 92% accuracy kappa coefficient 0.84 identifying areas. It distinguished active closed mines, detecting key features with 94% (kappa = 0.86). also identified directions extents, such as 4–13° Baorixile mine 69–141° Dongming mine, while excluding non-mining areas high precision. A strong correlation (r 0.929, p < 0.01) between annual area production further validated approach. provides accurate, scalable tools supports decision-making regulatory management processes.

Language: Английский

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Evaluation of soil fungal communities using the ITS2 sublocus and 18S gene primers under different amplification methods

Fungal ecology, Journal Year: 2025, Volume and Issue: 76, P. 101425 - 101425

Published: April 10, 2025

Language: Английский

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Quantitative Analysis of Vegetation Dynamics and Driving Factors in the Shendong Mining Area under the Background of Coal Mining

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1207 - 1207

Published: July 12, 2024

Elucidating the response mechanism of vegetation change trends is great value for environmental resource management, especially in coal mining areas where climate fluctuations and human activities are intense. Taking Shendong area as an example, based on Google Earth Engine cloud platform, this study used kernel Normalized Vegetation Index (kNDVI) to spatiotemporal characteristics cover during 1994–2022. Then, it carried out attribution analysis through partial derivative method explore driving behind greening. The results showed that (1) growth rate from 1994 2022 was 0.0052/a. with upward trend kNDVI accounted 94.11% total area. greening effect obvious, would continue rise. (2) Under scenario regional warming humidifying, responds slightly differently different climatic factors, positively correlated temperature precipitation 85.20% average contribution precipitation, temperature, were 0.00094/a, 0.00066/a, 0.0036/a, respectively. relative rates 69.23% 30.77%, Thus, main factor changing area, secondary factor. (3) dynamic land use presents increase forest under ecological restoration project. can provide a scientific basis future construction help realization green sustainable development goals.

Language: Английский

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Extraction of vegetation disturbance range using aboveground biomass estimated from Sentinel-2 imagery in coal mining areas with high groundwater table

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(36), P. 49227 - 49243

Published: July 25, 2024

Language: Английский

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On dialogue about earth processes and sustainable environment in a changing world: a tribute to the legacy of the landscape traveller Augusto Pérez-Alberti

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(16)

Published: Aug. 1, 2024

Understanding the external and internal geodynamical processes shaping Earth is challenging. Physical, chemical, biological form ground surface over time. Erosion, weathering, transporting, sedimentation are natural that shape landscapes. However, continuous interactions of geodynamic drivers, such as water, wind, biota, play vital roles in Earth's surface. These complex interconnected impact landscape environment, making it essential to comprehend them predict evolution, variability, changes. This Topical Collection (TC) a comprehensive set 54 articles (to date, has 16,500 accesses 119 citations) focused on environment changing world. It was grounded paying tribute legacy outstanding Spanish geomorphologist, geographer, honorific Professor Augusto Pérez-Alberti, whose thoughtful contributions have significantly advanced understanding earth processes, particularly glacial periglacial sedimentary dynamics, hydromorphology, coastal geomorphology. geodynamics systems critical protecting preserving ecosystems, landscapes, resources, communities' well-being.

Language: Английский

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