Eco-environmental changes due to human activities in the Erhai Lake Basin from 1990 to 2020

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 15, 2024

Human activities have increased with urbanisation in the Erhai Lake Basin, considerably impacting its eco-environmental quality (EEQ). This study aims to reveal evolution and driving forces of EEQ using water benefit-based ecological index (WBEI) response human policy variations Basin from 1990 2020. Results show that (1) exhibited a pattern initial degradation, subsequent improvement, further degradation rebound 2020, areas poor fair levels mainly concentrated around high level relatively flat terrain; (2) were not optimistic 1990, 1995 2015, accounted for 43.41%, 47.01% 40.05% total area, respectively; (3) an overall improvement was observed 1995-2000, 2000-2005, 2005-2009 2015-2020, most significant covering area 823.95 km2 accounting 31.79% area. also confirmed changes primarily influenced by variations. Moreover, these results can provide scientific basis formulation planning sustainable development Basin.

Language: Английский

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Can Government Environmental Auditing Help to Improve Environmental Quality? Evidence from China

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(4), P. 2770 - 2770

Published: Feb. 4, 2023

Promoting environmental governance to achieve green and low-carbon development is the focus of attention from all walks life. As a policy tool control pollution, effectiveness audits remains be verified. Based on China's provincial data 2004 2019, this paper aims examine impact mechanisms government auditing quality. Results show that helps improve overall quality, but there certain lag effect occurring. The heterogeneity test suggests comprehensive quality more significant when competition smaller, financial situation better, institutional environment weaker. Our analysis provides empirical evidence for understanding role function in governance.

Language: Английский

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Unraveling the Impacts of River Network Connectivity on Ecological Quality Dynamics at a Basin Scale

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2370 - 2370

Published: June 28, 2024

The ecological quality of river basins is significantly influenced by the complex network structures and their connectivity. This study measured temporal spatial variability quality, as reflected remote sensing indices (RSEI), examined responses to connectivity (RNC). In total, 8 RNC indices, including structure density (Dr), water surface ratio (Wr), edge-node (β), (γ), node importance betweenness centrality (BC), PageRank (PG_R), out_degree (Out_D), in_closeness (In_C), were generated at subbasin scale. Our results highlighted significance in influencing both values RSEI, extent this influence varied across different time periods. Specifically, three distinct clusters can be extracted from representing wet, near-normal, dry years. index γ patterns RSEIs, particularly wet years (R2 = 0.554), whereas β displayed a pronounced U-shape correlation with RSEIs 0.512). Although did not correlate directly RSEI levels, did, they positively affected (EI_SD_t). Higher PG_R, Out_D, In_C associated increased variability. Based on these correlations, we developed RNC-based EI_SD_t models high adjusted coefficients determination facilitate assessment ecosystem quality. provides essential insights into dynamics related within basin offers valuable guidance for effective watershed management conservation efforts aimed enhancing resilience sustainability.

Language: Английский

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Changes in the Vegetation NPP of Mainland China under the Combined Actions of Climatic-Socioeconomic Factors

Forests, Journal Year: 2023, Volume and Issue: 14(12), P. 2341 - 2341

Published: Nov. 29, 2023

Under the combined impact of climatic, socioeconomic, and environmental factors, vegetation NPP change process its responses to drive factors in sub-regions Mainland China are not clear. This study analyzes changing pattern from 2000 2022 perspective zoning clarifies response mechanism climate-human interaction based on gravity center model, third-order partial correlation coefficient geographical detector. The results showed that: (1) There was an overall decreasing trend southeast northwest; (2) Northeast, Northwest, North migrated southwards, while that Southwest, Central South, East northward migration.;(3) Human activities played a dominant role zones with increasing 2010, climate greatly contributed increase during 2011–2022; (4) activities, such as deforestation overgrazing, Northeast should be reduced prevent ecosystem degradation, negative human maintain growth NPP. conducted support decision-making for precise restoration ecosystems.

Language: Английский

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Eco-environmental quality assessment of the artificial oasis of Ningxia section of the Yellow River with the MRSEI approach

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 10

Published: Jan. 4, 2023

Remote sensing ecological index (RSEI) has the advantages of rapid, repeatable and relatively accurate in regional eco-environment quality assessment. Due to lack consideration interaction adjacent analysis units RSEI calculation, there is a few uncertainties assessment results. Based on RSEI, landscape diversity (LDI) was introduced, which considered heterogeneity caused by difference between unit one, rebuilt modified remote (MRSEI) evaluate artificial oasis Ningxia section Yellow River. The results showed that area Fair Poor grades low MRSEI year (2000) greater than other grades, Moderate high (2020). conversion characteristics different were grades. During study period, improved, composition pattern land use types had significant impact MRSEI. Introduction LDI-improved can not only include heterogeneous effect but also consider spatial scale LDI make evaluation more credible. However, some factors (e.g., LDI, NDVI, NDBSI) represent accumulation surface status over long-time scales, while others Wet LST) reflects short-time features surface. Therefore, how eliminate uncertainty temporal mismatch challenge for applications.

Language: Английский

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Spatiotemporal Patterns and Driving Factors of the Ecological Environmental Quality along the Jakarta–Bandung High-Speed Railway in Indonesia

Sustainability, Journal Year: 2023, Volume and Issue: 15(16), P. 12426 - 12426

Published: Aug. 16, 2023

Economic globalization and rapid urbanization have affected ecological environments in global regions to different degrees. Timely, objective quantitative evaluations of the spatiotemporal variations regional environmental quality are key protection decision making. The spatial distributions environment levels along Jakarta–Bandung high-speed railway from 2000 2020 were obtained based on Google Earth Engine Remote Sensing Ecological Index (RSEI). Then, Theil–Sen median Mann-Kendall methods used assess temporal RSEI trend; autocorrelation evaluation index was evaluate clustering a scale. results show that overall moderate, with temporally fluctuating changes very significant clustering. Approximately 20% area showed strong (improvement or degradation). Areas relatively better located mainly high-elevation high-vegetation-coverage regions, while areas poorer four major cities, including Jakarta, concentrated populations developed economies. research provide local governments scientific suggestions regarding synergistic development construction protection.

Language: Английский

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Post-earthquake recovery and its driving forces of ecological environment quality using remote sensing and GIScience, a case study of 2015 Ms8.1 Nepal earthquake

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 22, 2023

Natural hazards always have significant impacts on the regional ecological environment, causing huge damages to biodiversity, soil erosion, and impoverishment. This study aimed analyze variation of environment quality in Nepal from 2014 2018, with a specific focus impact recovery 2015 Ms8.1 earthquake. We utilized Google Earth Engine (GEE) remote sensing based index (RSEI) evaluate quality. Moreover, Moran's I Geodetector model were employed explore spatial clustering driving forces post-earthquake recovery. The results indicate that after earthquake, there was decrease 0.0225 mean RSEI Nepal. monitoring severe-affected areas showed environmental gradually improved within three years After span years, managed recover its pre-earthquake level. In terms distribution, is notable correlation Nepal, exhibiting higher southern regions lower northern regions. By examining behind changes during period, it has been determined altitude, precipitation, their interaction serve as influential factors. These findings provide valuable insights into state Furthermore, this establishes robust theoretical foundation for local decision-makers develop protection measures enhance disaster risk management.

Language: Английский

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Spatio-Temporal Evolution of Vegetation Coverage and Eco-Environmental Quality and Their Coupling Relationship: A Case Study of Southwestern Shandong Province, China

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1200 - 1200

Published: July 11, 2024

Propelled by rapid economic growth, the southwestern Shandong urban agglomeration (SSUA) in China has become a crucial industrial hub, but this process somewhat hindered vegetation growth and environmental quality. Leveraging functionalities of Google Earth Engine (GEE) platform, we derived fractional coverage (FVC) through Normalized Difference Vegetation Index (NDVI) assessed eco-environmental quality using Remote Sensing Ecological (RSEI). To examine patterns shifts SSUA, employed Theil–Sen median slope estimation, which provided robust estimates linear trends, Mann–Kendall trend test to determine statistical significance these Hurst exponent analysis evaluate long-term persistence predict future changes Furthermore, explore interdependencies between (VC) quality, applied an improved coupling coordination degree model (ICCDM). This allowed us assess co-evolution synergy two factors over study period, providing comprehensive insights for sustainable ecological planning region. The VC consistently across most SSUA from 2000 2020. dominance had transitioned being predominantly characterized relatively high mainly VC. A substantial portion is predicted experience improvements its moving forward. relationship conditions southwest Province generally exhibited state orderly coordinated development. With passage time, there was clear tendency toward expansion coupled uncoordinated areas distributed network within each regional center. Our research unveils dynamics spatial-temporal elucidates mechanism aspects, provides theoretical support understanding healthy development ecology agglomerations context.

Language: Английский

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Dynamic Change Analysis of Ecological Quality in Loess Plateau Based on Remote Sensing Ecological Index - a Case Study of Ganquan County in Yan' an City, China

Polish Journal of Environmental Studies, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 27, 2023

The Loess Plateau is located in the middle reaches of Yellow River, with serious soil erosion and important ecological status.Scientific assessment environment quality premise to realize sustainable development regional ecology, which great significance improvement Plateau.Based on Landsat series data, this study constructed remote sensing index (RSEI) evaluated Plateau.The results show that: (1) From 2006 2020, average RSEI experienced three stages degradation-slow improvement-rapid improvement; from 2005 2010, decreased 0.6465 0.5516, area variation accounted for 46.7% total area.From began improve.In 2015, improved 31.84%.By 45.6%.(2) On whole, level Ganquan County has improved, accounts 33.4%, while deteriorated 14.74%, 2.3 times area.(3) perspective spatial aggregation, there aggregation distribution County, mainly H-H L-L aggregation.The region mountain forest relatively high altitude around distributed northwest southeast near Yanluo River its tributaries, that is, sandy hilly gully Plateau.However, passage time, corresponding gradually decreased, decreased.In study, was used

Language: Английский

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Dynamic Monitoring of the Ecological Vulnerability for Multi-Type Ecological Functional Areas during 2000–2018

Sustainability, Journal Year: 2022, Volume and Issue: 14(23), P. 15987 - 15987

Published: Nov. 30, 2022

Studies that consider both the differences of evaluation systems and index weights among different ecological areas in study periods for vulnerability have not been reported yet. In addition, comparability assessment results is poor. This paper proposed a novel quantitative method multi-type multi-temporal functional using dynamic weighting method: Three-River Source region grassland–wetland area (TRSR), Guiqiandian karst rocky desertification control (GQD), Hunshandake (HSDK), Chuandian forest biodiversity (CD), then introduced net primary productivity (NPP) to realize determination thresholds, which helpful compare unified comparable level. The had higher applicability (91.1% TRSR, 91.9% HSDK, 91.7% CD, 94.2% GQD) based on weight method. thresholds NPP could provide level investigate spatial distribution patterns periods. average GQD, CD was classified as mild vulnerability, while HSDK moderate vulnerability. research support protection zones national scale.

Language: Английский

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