Spatiotemporal variations in eco-environmental quality and responses to drought and human activities in the middle reaches of the Yellow River basin, China from 1990 to 2022

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102641 - 102641

Published: May 8, 2024

The middle reaches of the Yellow River basin (MYRB) are among regions most severely affected by soil erosion globally. It has always held a pivotal role in and water conservation ecological restoration efforts China. Nonetheless, face recurrent drought occurrences growing human intervention, there have been notable alterations eco-environmental quality (EEQ) within MYRB. However, influences intervention on EEQ MYRB remain unclear. In this study, remote sensing index (RSEI) was applied to quantify spatiotemporal changes contributions land use type transitions from 1990 2022. results showed that fluctuated significantly exhibited weak overall improvement trend over past 33 years. proportion good excellent grades for improved, while poor fair decreased, especially northern regions. follows phased pattern. During periods 1990–2002 2011–2022, an improving is observed, period 2003–2010 shows no significant change EEQ. Drought had strongest influence 2003 2010, followed 2002, lesser impact 2011 primarily positively influenced spring, autumn winter droughts negatively summer droughts, arid grassland unused areas. improved during initial final phases projects, with drought. increase project implementation less noticeable, period.

Language: Английский

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Spatiotemporal evolution and driving factors analysis of the eco-quality in the Lanxi urban agglomeration

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111114 - 111114

Published: Oct. 23, 2023

An analysis of the spatiotemporal evolution ecological quality and its driving factors in Lanxi urban agglomeration is important for ensuring environmental protection high-quality, sustainable development region. We used moderate resolution imaging spectroradiometer (MODIS) remote sensing images to construct a index (RSEI) using principal component (PCA) reflect agglomeration. The spatial temporal characteristics future changes RSEI study area from 2000 2020 were explored Sen Mann–Kendall test Hurst index, effects natural human on variation analyzed Geodetector geographically weighted regression (GWR) models. There three main results. (1) In past 20 years, annual average value has been increasing at rate 0.0057/a, areas unsatisfactory have reduced. (2) indicates that majority (47.54 % area) will probably experience degradation trend future, with 19.98 improving random occurring 9.45 area. (3) Vegetation type, soil precipitation reasons differentiation RSEI, land use type was influence, influence socioeconomic such as population density gross domestic product (GDP) increased significantly. Vegetation, soil, types positively correlated RSEI. research results are great significance promoting construction an civilization coordinating balance between social protection.

Language: Английский

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The impact of land-use change on the ecological environment quality from the perspective of production-living-ecological space: A case study of the northern slope of Tianshan Mountains

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102795 - 102795

Published: Aug. 25, 2024

Language: Английский

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Revealing the Eco-Environmental Quality of the Yellow River Basin: Trends and Drivers

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 2018 - 2018

Published: June 4, 2024

The Yellow River Basin (YB) acts as a key barrier to ecological security and is an important experimental region for high-quality development in China. There growing demand assess the status order promote sustainable of YB. eco-environmental quality (EEQ) YB was assessed at both regional provincial scales utilizing remote sensing-based index (RSEI) with Landsat images from 2000 2020. Then, Theil–Sen (T-S) estimator Mann–Kendall (M-K) test were utilized evaluate its variation trend. Next, optimal parameter-based geodetector (OPGD) model used examine drivers influencing EEQ Finally, geographically weighted regression (GWR) further explore responses RSEI changes. results suggest that (1) lower value found north, while higher south Sichuan (SC) Inner Mongolia (IM) had highest lowest EEQ, respectively, among provinces. (2) Throughout research period, improved, whereas it deteriorated Henan (HA) Shandong (SD) (3) soil-available water content (AWC), annual precipitation (PRE), distance impervious surfaces (IMD) main factors affecting spatial differentiation (4) influence meteorological (PRE TMP) on changes greater than IMD, IMD showed significant increasing provide valuable information application local construction planning.

Language: Английский

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Exploring the Relationship between the Eco-Environmental Quality and Urbanization by Utilizing Sentinel and Landsat Data: A Case Study of the Yellow River Basin

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(3), P. 743 - 743

Published: Jan. 27, 2023

Yellow River Basin urban agglomeration (YRBU) is the main carrier of regional socio-economic development in Basin, and its eco-environmental quality, urbanization, coupling coordination degree are facing higher demands. It great significance for YRBU to understand interactive relationship between eco-environment urbanization from multi-scale perspective. This research intended spatio-temporal characteristics study area 2013 2021. We proposed an Adjusted Remote Sensing Ecological Index (A-RSEI), integrated Sentinel-2A, Landsat 8, other remote sensing data evaluate quality area, Coupled (CCD) model was used obtain CCD urbanization. In addition, analysis carried out perspectives agglomeration, municipal, county, pixel scales. Combined with spatial autocorrelation Tapio decoupling model, further explored. The results show that A-RSEI more suitable monitoring Basin. most regions rising a relatively green trend. among can not only indicate impact central city on surrounding areas but also help describe details combined terrain. comprehensive discrimination county scale helpful express centered certain city. provide scientific support protection high-quality

Language: Английский

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Spatiotemporal change in ecological quality and its influencing factors in the Dongjiangyuan region, China

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(26), P. 69533 - 69549

Published: May 4, 2023

Language: Английский

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Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4778 - 4778

Published: Dec. 21, 2024

The Loess Plateau (LP) in China is an ecologically fragile region that has long faced challenges such as soil erosion, water shortages, and land degradation. spatial temporal variations ecological environment quality on the LP from 2000 to 2020 were analyzed using Remote Sensing Ecological Index (RSEI) Google Earth Engine (GEE) platform. Sen, Mann–Kendall, Hurst exponent analyses used examine variation trends over past 20 years, while Geodetector identified key factors influencing RSEI changes their interactions. results indicate (1) effectively represents environmental of LP, with 47% study area’s annual mean values 20-year period classified moderate, ranging 0.017 0.815. (2) showed improvement 72% area, a 90% overall increase, but 84% these are not likely continue. (3) Key during abrupt change years included precipitation, use/land cover, sediment content, precipitation topography emerging primary influences quality. Although natural largely drive changes, human activities also exert both positive negative effects. This underscores importance sustainable management provides policy insights for advancing civilization contributing achievement Sustainable Development Goals (SDGs).

Language: Английский

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Spatial and Temporal Heterogeneity of Eco-Environmental Quality in Yanhe Watershed (China) Using the Remote-Sensing-Based Ecological Index (RSEI)

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 780 - 780

Published: May 31, 2024

The long-term impacts of climate change and human activities have resulted in the Yanhe watershed, a typical watershed Loess Plateau region, exhibiting high degree vulnerability significant heterogeneity ecological environmental quality. This has led to degradation complex socio-ecological challenges. Consequently, there is an urgent need carry out research on spatial temporal differentiation patterns environment By utilizing remote sensing data spanning 21 years, this study evaluated evolutionary trends consistency quality (EEQ) within based remote-sensing-based index (RSEI). Furthermore, it examined global local autocorrelation RSEI by constructing hexagonal grid, thereby revealing spatiotemporal characteristics EEQ at different scales watershed. results were as follows: (1) exhibited overall upward trend past two decades, while displayed fluctuations; (2) Global Moran’s I values for years 2000, 2010, 2020 0.18, 0.32, 0.21, respectively, indicating presence RSEI; (3) will continue improve, although certain areas remains unstable due natural conditions activities. not only contributes technical framework analyzing but also provides actionable insights ecosystem restoration sustainability Our work advances understanding dynamics semi-arid regions offers model assessing similar contexts.

Language: Английский

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Assessment of Land Desertification and Its Drivers on the Mongolian Plateau Using Intensity Analysis and the Geographical Detector Technique

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(24), P. 6365 - 6365

Published: Dec. 16, 2022

Desertification is one of the most harmful ecological disasters on Mongolian Plateau, placing grassland environment under great pressure. Remote-sensing monitoring desertification and exploration drivers behind it are important for effectively combating this issue. In study, four banners/counties border China Mongolia Plateau were selected as target areas. We explored dynamics their by using remote sensing imagery a product dataset East Ujimqin Banner three counties in during period 2000–2015. First, information fourth phase study area was extracted visual interpretation method. Second, dynamic change characteristics analyzed intensity analysis Finally, explanatory powers identified geographical detector The results show that has undergone process reversion, development, mild with main transition occurring between slight (SL) non-desertified land (N), very serious desertified (VS), water region influenced combination natural anthropogenic factors. processes development SL vs. types. mainly concentrated Matad County, which greatly affected conditions little impact from activities. addition, showed decreasing trend, interaction could enhance power dynamics. research provide scientific basis control, protection, restoration Plateau.

Language: Английский

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Evolution pattern and driving mechanism of eco-environmental quality in arid oasis belt — A case study of oasis core area in Kashgar Delta

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110866 - 110866

Published: Aug. 28, 2023

Kashgar Oasis is an ecologically fragile area in the southern margin of Tarim Basin, which affected by both natural conditions and human activities. Exploring spatiotemporal dynamics driving factors ecological environment quality this significant for maintaining regional security protection. This study aims to examine multi-year RSEI, calculated based on GEE platform from 1990 2020 area, located core Oasis. The trend analysis method analyzed pattern RSEI dynamic evolution. Additionally, regularity migration directions was explored through gravity transfer linear directional mean. Finally, forces were quantified geographic detectors. results showed that: (1) increasing 2020, with mean value 0.542 0.577, overall increase 6.84%. (2) improved stable areas account 60.901% 5.428%, respectively, mainly distributed a large while degraded mildly had patchy structure. (3) change direction different grades east–west extension trend, improvement slight degradation being more aligned river flow. (4) that land use cover (LULC), representing activities, most explanatory power, q-value single factor detection interaction LUC-GDP 0.506 0.550, respectively. indicated fluctuations eco-environmental are closely related local patterns. can provide reference implementing protection environmental restoration projects.

Language: Английский

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