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

Guo Long,

Chao Xu, Hongqi Wu

et al.

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

Spatial and Temporal Analysis of Habitat Quality in the Yellow River Basin Based on Land-Use Transition and Its Driving Forces DOI Creative Commons

Yibo Xu,

Xiaohuang Liu,

Lianrong Zhao

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 759 - 759

Published: April 2, 2025

Land-use transition has diverse influences on habitat quality. At present, land-use patterns and quality in the ecologically fragile Yellow River Basin are undergoing significant change. However, relationship between driving factors of dynamics across whole basin remain unclear. In this study, we utilized a matrix an InVEST model to analyze land use, quality, two from 2005 2020. The were explored with spatial econometric model. results showed following: (1) areas farmland grassland accounted for more than 70%, but decreased by 14,600 km2 2500 km2, respectively. forest construction increased 1800 16,900 (2) trend decrease-then-increase. low value (0–0.2) largest, accounting about 50% total area; regions relatively high (0.6–0.8) (0.8–1) small scattered mountainous area, 10%. (3) was lowest categorized as transitioning construction, highest unchanged characterized forest. coupling coordination degree steady upward trend. (4) growth rate added secondary industries, GDP per capita, population density, ecological-protection policy score, average annual temperature, precipitation primary affecting This study fills gap analysis Basin; work assists understanding ecological effects region provides suggestions development other densely populated areas.

Language: Английский

Citations

0
Spatiotemporal Dynamics and Driving Mechanism of Ecological Environment Quality in Piedmont-Oasis-Desert Ecotone Based on Long-term Harmonized Remote Sensing Ecological Index- Take Korla - Tiemenguan Oasis in Xinjiang as an Example DOI Creative Commons

Junling He,

Xifeng Ju, Chuqiao Han

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100611 - 100611

Published: Jan. 1, 2025

Language: Английский

Citations

0
Vegetation, Architecture, and Human Activities: Reconstructing Land Use History from the Late Yangshao Period in Zhengzhou Region, Central China DOI Creative Commons
Xia Wang,

Junjie Xu,

Duowen Mo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 321 - 321

Published: Feb. 5, 2025

In recent decades, a large number of houses from the Late Yangshao period have been excavated in Zhengzhou. They are basically single-level buildings with wood skeletons and mud walls use huge amount timber resources. Nevertheless, there still lot questions about uncertain relationship between plants, architecture, human activities. this study, we complete reconstruction Holocene vegetation community around Dahecun site via pollen analysis Z2 core. We take house F1 as an example to estimate consumption single collect published data all study area built Zhengzhou during period. Combining above two approaches, explores activities period, well history land use. The results follows: (1) After 4.9 ka BP, trees shrubs such Pinus (falling 58.8% 46.9%) decreased rapidly, herbaceous plants increased. (2) Excluding influence climate change, large-scale decline region is likely human-driven. 11 236 sites reached 362, while minimum 1270.62 m3. addition, rapid expansion population size development new arable forest clearance show that humans had strong on surrounding cover/use. trend regional deforestation was so obvious irreversible inhabitants adopt techniques using less or no build subsequent Longshan culture

Language: Английский

Citations

0
Rural Resilience Evaluation and Risk Governance in the Middle Reaches of the Heihe River, Northwest China: An Empirical Analysis from Ganzhou District, a Typical Irrigated Agricultural Area DOI Creative Commons
Jing Huang,

Dongqian Xue,

Mei Huang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 926 - 926

Published: April 24, 2025

Conducting research on the evaluation of rural resilience and risk governance strategies in middle reaches Heihe River can provide a scientific basis for sustainable development areas inland river basins arid regions. Affected by water resource constraints, expansion artificial oases, excessive exploitation groundwater, Basin, second largest region northwest China, are confronted with prominent contradictions human-land relationship urgently need to enhance their ability cope risks. Based remote sensing data land use major socio-economic data, this study draws theory landscape ecology construct disturbance-resistance-adaptability system. Taking Ganzhou District, typical irrigated agricultural area, as case study, uses entropy weight method, change rate, obstacle degree model analyze level its changing characteristics from 1990 2020, identifies key factors affecting resilience, proposes accordingly. Main conclusions: (1) The overall index is relatively low, showing significant spatial disparities. Towns well-developed multifunctional agriculture, nature reserves, ecological-cultural control lines have higher indices. (2) rate demonstrates phase heterogeneity, generally undergoing “relative stability-increase-decrease” process, forming differentiation pattern “decrease north increase south”. (3) Internal risks District mainly stem low economic efficiency, fragile ecological environment, unstable patterns, among which efficiency-dominant landscape-stability broader impact scope, while habitat resistance-type concentrated western part suburban areas. Enhancing benefits soil utilization, strengthening resistance, stabilizing patterns current-stage River. This aims optimize

Language: Английский

Citations

0
Dynamic Monitoring and Evaluation of Ecological Environment Quality in Urumqi Metropolitan Based on Google Earth Engine DOI
Shaojie Bai,

Abudukeyimu Abulizi,

Junxia Wang

et al.

Springer proceedings in physics, Journal Year: 2025, Volume and Issue: unknown, P. 57 - 76

Published: Jan. 1, 2025

Language: Английский

Citations

0
Landscape structure evolution and ecological risk evaluation of oasis desert cities: A case study of Tiemenguan city DOI Creative Commons

Mingyue Sun,

Hongguang Liu, Yash P. Dang

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(5), P. e0321762 - e0321762

Published: May 7, 2025

The rapid development of oasis desert cities adversely affects fragile ecosystems, preventing regional sustainable development. This study investigates the spatiotemporal evolution characteristics and potential quantitative relationship between landscape structure (OLS) ecological risk index (ERI) trend in different scenarios Tiemenguan City, a typical city an arid zone northwestern China, from 1990 to 2020. We calculated ERI thresholds for types, classified levels, examined factors influencing risk. normalized difference vegetation (NDVI) were NDVI ≥ 30% oases, 10% <NDVI < transition zones, ≤ areas. Under government control, transitions cropland, woodland, grassland built-up unused land decreased by 20%, whereas conversions increased 30%. results showed following: (1) area expanded continuously 175.5 km 2 345.3 during 30 years. zones 49.7% 37.9%, respectively. was strongly correlated with OLS. zone-transition zone-desert 0.08–0.085 0.111–0.118, (2) Socioeconomic factors, including infrastructure expansion, population density, GDP, dominant influences, contributing 64% ERI, influence natural such as climate declined. (3) low-ERI areas 3.3% under significantly, slowing growth rate zone. quantitatively evaluated types’ levels analyzed effects dynamic migration on type stability. paper provides systematic research framework assessment various types scientific basis conservation related research.

Language: Английский

Citations

0
Land Use Change and Its Impact on the Quality of the Ecological Environment in Xinjiang DOI Open Access
Zhenyu Han, Shu Wu, Jie Liu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 10114 - 10114

Published: Nov. 20, 2024

Xinjiang is a key area for implementing the Belt and Road Initiative, as well an ecological security barrier in Northwest China. In this study, remote sensing index (RSEI) was constructed on basis of Google Earth Engine (GEE) platform combined with multiperiod (MODIS) imagery to analyze land use changes their impacts environmental quality from 2000 2023. The results are follows. (1) areas concentrated mainly oasis around mountain ranges Tarim Basin. (2) overall environment showed insignificant linear decreasing trend, annual rate change −0.0009 a−1 (p > 0.05). (3) spatial distribution RSEI revealed significant positive correlation clustering pattern, which high west low east. (4) increase cultivated had effect improving Xinjiang. When increased by 10%, improvement 8.8%.

Language: Английский

Citations

1
Spatial benefit difference of fertilizer reduction and substitution policy based on grid scale: A case study of the Heihe River Basin DOI
Guijun Liu, Huimin Wang, Gang Liu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123114 - 123114

Published: Nov. 4, 2024

Language: Английский

Citations

0
Spatiotemporal Evolution and Drivers of Ecological Quality in the Tengger Desert (2001–2021) DOI Creative Commons

Feifei Dong,

Fucang Qin, Xiaoyu Dong

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1838 - 1838

Published: Nov. 5, 2024

Desert ecosystems, particularly in arid regions like the Tengger Desert, are highly sensitive to both anthropogenic activities and climate change, making monitoring evaluation of ecological quality critical for sustainable management restoration efforts. This study analyses spatiotemporal evolution from 2001 2021 using Remote Sensing Ecological Index (RSEI), incorporating meteorological factors (temperature, precipitation, wind speed), topographical (elevation, slope, relief) indices (land use land cover). The mean RSEI fluctuated between 0.1542 0.2906, indicating poor quality, with a peak 2008 attributed national projects. Despite initial improvements, overall declined at rate 0.0008 a−1 2021. Spatially, degradation was most pronounced central southern areas. Due sand-binding engineering mountain suitable vegetation growth, improvements occurred northeast southwest. Moran’s I Hurst index revealed significant spatial clustering persistence trends, over 49.53% area projected experience further deterioration. Geodetector analysis identified cover as influential on RSEI, especially combination speed, temperature, underscoring role human climate. highlights need sustained management, areas showing continuous degradation, prevent

Language: Английский

Citations

0
The Decisive Influence of the Improved Remote Sensing Ecological Index on the Terrestrial Ecosystem in Typical Arid Areas of China DOI Creative Commons

Guo Long,

Chao Xu, Hongqi Wu

et al.

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

Citations

0