Study on the Spatial and Temporal Trends of Ecological Environment Quality and Influencing Factors in Xinjiang Oasis

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1980 - 1980

Published: May 31, 2024

Human activities and climate change have profound impacts on the ecological environment of oases in Xinjiang, it is great significance to explore spatial temporal evolution patterns quality this region for sustainable development Xinjiang. The remote sensing index (RSEI) was extracted from Google Earth Engine (GEE) platform 2000 2020, coefficient variation Hurst were used reveal characteristics stability artificial oasis natural key factors affecting are explored through correlation analysis geoprobes. results show that distribution Xinjiang high north low south, overall shows a fluctuating downward trend 0.210 0.189. Artificial higher RSEI values, stability, sustainability than oases. study area mainly influenced by humidity, followed greenness heat, dryness had least influence model. Based geodetector, top three highest contributors found be precipitation (PRE) (0.83) > relative humidity (RHU) (0.82) evapotranspiration (ET) (0.57). Climate main factor oases, can improved increasing proportion aims provide scientific basis arid zones.

Language: Английский

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Supply-demand Security Assessment of Water-energy-food Systems: A Perspective on Intra-city Coupling and Inter-city Linkages of Ecosystem Services

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105964 - 105964

Published: Nov. 4, 2024

Language: Английский

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A CMIP6-based assessment of regional climate change in the Chinese Tianshan Mountains

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(2), P. 195 - 219

Published: Feb. 1, 2024

Language: Английский

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Monitoring and Evaluation of Ecological Environment Quality in the Tianshan Mountains of China Using Remote Sensing from 2001 to 2020

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1673 - 1673

Published: Feb. 17, 2025

High-altitude mountainous regions are highly vulnerable to climate and environmental shifts, with the current global change exerting a profound influence on ecological landscape of Tianshan Mountains in China. This study assesses security quality China from 2001 2020 by employing various remote sensing techniques such as Remote Sensing Ecological Index (RSEI) for evaluation, Normalized Difference Vegetation (NDVI) fractional vegetation cover (FVC) analysis, CASA model estimating primary productivity (NPP), carbon source/sink calculating net ecosystem (NEP) vegetation. The research also delves into evolutionary trends impact mechanisms environment using land use meteorological data. findings reveal that RSEI’s principal component (PC1) exhibits significant explanatory power, showing notable increase 5.90% 2020. Despite relatively stable changes RSEI over past two decades covering 61.37% area, there is prevalent anti-persistence pattern at 72.39%. Notably, NDVI, FVC, NPP display upward characteristics. While most areas continue emit carbon, marked NEP, signifying an enhanced absorption capacity. partial correlation coefficients between temperature, well precipitation, demonstrate statistically relationships (p < 0.05), encompassing 6.36% 1.55% respectively. Temperature displays predominantly negative 98.71% significantly correlated zones, while precipitation positive correlation. An in-depth analysis how affects provides crucial insights strategic interventions enhance regional protection promote sustainability.

Language: Английский

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Mechanism analysis of vegetation phenology in an urban agglomeration in an arid zone driven by seasonal land surface temperatures

Urban Climate, Journal Year: 2023, Volume and Issue: 53, P. 101795 - 101795

Published: Dec. 28, 2023

Language: Английский

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Spatiotemporal Variations of Vegetation and Its Response to Climate Change and Human Activities in Arid Areas—A Case Study of the Shule River Basin, Northwestern China*

Published: May 23, 2024

The Shule River Basin (SRB) is a typical arid area in northwest China with fragile ecology. Un-derstanding vegetation dynamics and its response to climate change human activities provides essential information for ecological environmental resource management. This study extracted fractional coverage (FVC) data from 2000 2019 using the Google Earth Engine plat-form Landsat satellite images, employing trend analysis other methods examine spati-otemporal changes SRB. Additionally, partial correlation residual were utilized explore of FVC activities. main results as follows: (1) regional average SRB showed significant upward 2019, increasing by 1.3 × 10−3 y–1. within 1 km roads experienced higher increase 3 y–1, while roadless areas lower 1.1 Road construction 2004 2006 significantly reduced 200 meters roads. spatial heterogeneity significant. (2) Partial shows that has strong positive precipitation surface water area, coefficients 0.575 0.744, respectively. There weak negative between land temperature (LST). are more influenced than LST. (3) Compared factors, have greater impact on contributions recovery increasing. (4) dif-ferent types closely related factors activities, reflecting their vegetation. These provide valuable ecosystem restoration environ-mental protection

Language: Английский

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Quantitatively exploring the influence of geographical conditions on ecological quality using a novel remote sensing model: a comparison between two geographical disparity regions in China

Geo-spatial Information Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: July 24, 2024

The ecological quality of a region is significantly influenced by its geographical conditions, which can yield different effects on ecosystems. Nevertheless, the lack adequate technology has impeded quantitative investigations into these differences. Consequently, there an increasing demand for effective techniques to quantitatively measure differences in resulting from variations conditions. This study applied novel Remote Sensing-based Ecological Index (RSEI) concurrently two distinct provincial-level regions China, Fujian and Ningxia, detect their These possess contrasting with having high forest coverage abundant rainfall, while Ningxia features low extensive loess plateau desert terrain. By linking factors corresponding responses, we conducted comprehensive analysis determine whether conditions between had caused significant disparities status. results indicate that have indeed led marked differences, exhibiting excellent status, lags behind due unfavorable In terms RSEI scores, consistently achieved higher values (>0.8) years, reaching level, whereas recorded scores lower than 0.45 during comparable poor moderate level. Regarding impact positive contributions greenness wetness indicators ecology were greater those (58% vs. 39%), negative indicators, dryness hotness, notably compared (|–61|% |–42|%). successful concurrent application geographically distant also demonstrates robustness technique.

Language: Английский

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Impact of Forest Landscape Patterns on Ecological Quality in Coastal Cities of Fujian, China, from 2000 to 2020

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1925 - 1925

Published: Oct. 31, 2024

The Fujian coastal zone, a key region in China’s belt, has experienced significant landscape and ecological changes due to intense human activities. Understanding the relationship between patterns quality is critical for sustainable development protection. Taking cities, including Fuzhou, Xiamen, Ningde Province of China, as case, spatio–temporal remote sensing-based index (RSEI) during 2000 2020 were explored by Google Earth Engine (GEE) cloud platform, then their spatial relationships identified through Pearson correlation analysis bivariate autocorrelation analysis. findings reveal that (1) forest land was dominant Fuzhou Ningde, while cropland prevailed Xiamen. Significant occurred use three mainly substantial increase built-up varying degrees reduction arable land. At level, both Xiamen exhibited increased fragmentation, showed trend aggregation; at class whereas it an aggregation trend. (2) Between 2020, ecological–environmental continuously improved, improvement less significant. Poor fair environments cities concentrated city centers zones, areas degradation primarily zones. (3) Correlation indicates that, whether level or significantly negatively correlated with fragmentation positively index. Moreover, positive index, well negative are stronger than those level. As urbanization progresses, intensifies, especially areas, having impact on quality. These results highlight importance pattern management maintaining This paper provides insights balancing urban preservation context rapid urbanization.

Language: Английский

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Spatiotemporal Variations of Vegetation and Its Response to Climate Change and Human Activities in Arid Areas—A Case Study of the Shule River Basin, Northwestern China

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1147 - 1147

Published: July 1, 2024

The Shule River Basin (SRB) is a typical arid area in northwest China with fragile ecology. Understanding vegetation dynamics and its response to climate change human activities provides essential ecological environmental resource management information. This study extracted fractional coverage (FVC) data from 2000 2019 using the Google Earth Engine platform Landsat satellite images, employing trend analysis other methods examine spatiotemporal changes SRB. Additionally, we used partial correlation residual analyses explore of FVC activities. main results were: (1) regional average SRB showed significant upward 2019, increasing by 1.3 × 10−3 a–1. within 1 km roads experienced higher increase 3 a–1, while roadless areas lower 1.1 spatial heterogeneity significant. (2) Partial shows that correlates positively precipitation surface water area, coefficients 0.575 0.744, respectively. A weak negative exists between land temperature (LST). are more influenced than LST. (3) contributions recovery increasing. Human activities, particularly agricultural practices, infrastructure development, conversion farmland grassland, significantly influence densely populated areas. (4) different types closely related factors Increased construction, activity, converting back grassland have led an proportions “impervious surfaces”, “cropland”, “grassland”. Climate changes, such as increased rainfall, resulted larger “wetlands” “sparse vegetation”. These provide valuable information for ecosystem restoration protection

Language: Английский

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The Decisive Influence of the Improved Remote Sensing Ecological Index on the Terrestrial Ecosystem in Typical Arid Areas of China

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2162 - 2162

Published: Dec. 12, 2024

This study aims to assess the spatiotemporal changes in ecological environment quality (EEQ) arid regions, using Xinjiang as a case study, from 2000 2023, with an improved remote sensing index (IRSEI). Due complex ecology of traditional (RSEI) has limitations capturing dynamics. To address this, we propose enhanced IRSEI model that replaces normalization standardization, improving robustness against outliers. Additionally, kernel normalized difference vegetation (kNDVI) and salinity (NDSI) are integrated saline areas more effectively. The methodology includes time series analysis, spatial distribution statistical evaluations method, coefficient variation, Hurst index. Results show accurately reflects dynamics than RSEI. Temporal analysis reveals stable overall EEQ, some improving. Spatially, is generally better north mountainous regions south plains. Statistical suggest positive trend changes, surpassing degraded ones. contributes monitoring, protection, management region ecosystems, emphasizing need for high-resolution data further analysis.

Language: Английский

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