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

Spatiotemporal Variation in Ecological Environmental Quality and Its Response to Different Factors in the Xia-Zhang-Quan Urban Agglomeration over the Past 30 Years DOI Creative Commons
Zongmei Li,

Wang Man,

Jiahui Peng

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1078 - 1078

Published: July 17, 2024

The interactions between economic development, environmental sustainability, population growth, and urbanization are vital in assessing the ecological dynamics of urban agglomerations. This study explores relationship within Xia-Zhang-Quan agglomeration Fujian Province from 1989 to 2022. Utilizing Landsat remote sensing images, we calculated Remote Sensing Ecological Index (RSEI) evaluate changes quality. results show that average RSEI values for 1989, 2000, 2010, 2022 were 0.5829, 0.5607, 0.5827, 0.6195, respectively, indicating an initial decline followed by a significant increase, culminating overall upward trend. spatial distribution classification shows area has largest proportion mainly “good” areas with “excellent” quality increased (13.41% 25.12% 2022), while those “general” decreased (28.03% 21.21% 2022). Over past three decades, Xiamen experienced substantial degradation (RSEI change −0.0897), Zhangzhou showed marked improvement 0.0519), Quanzhou exhibited slight deterioration −0.0396). Central typically had poorer conditions but signs improvement, whereas non-central regions demonstrated enhancement. factor detector analysis identified land use as dominant influencing quality, precipitation having relatively minor impact. Interaction revealed all other factors bi-variable enhancement or nonlinear enhancement, suggesting interactive effects these greater than individual alone. Land consistently solid explanatory power. Temperature also influence when interacting factors. Due planning can plan use, findings suggest effective harmonize development protection agglomeration.

Language: Английский

Citations

0

Quantitative Assessment of Urban Expansion Impact on Vegetation in the Lanzhou–Xining Urban Agglomeration DOI Creative Commons

Wensheng Wang,

Wenfei Luan,

Haitao Jing

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8615 - 8615

Published: Sept. 24, 2024

The Rapid expansion of the Lanzhou–Xining (Lanxi) urban cluster in China during recent decades poses a threat to fragile arid environment. Quantitatively assessing impact on vegetation Lanxi has profound implications for future sustainable planning. This study investigated dynamics and its impacts regional between 2001 2021 based time series land cover data auxiliary remote sensing data, such as digital elevation model (DEM) nighttime light administrative boundary data. Thereinto, were evaluated using annual Land Cover Dataset (CLCD, 2001–2021). Urban assessed via Vegetation Disturbance Index (VDI), an index capable quantitatively positive negative at pixel level, which can be obtained by overlaying Enhanced (EVI) rainfall major findings indicate that: (1) Over past two decades, region experienced rapid expansion, with built-up area expanding from 183.50 km2 294.30 km2, is average rate 2.39%. Notably, Lanzhou, Baiyin, Xining dominated expansion. (2) negatively affected approximately 53.50 vegetation, while about 39.56 saw impacts. effects mainly due loss cropland grassland. Therefore, cities drylands should balance development conservation strictly controlling grassland occupancy promoting intelligent growth.

Language: Английский

Citations

0

Revealing various change characteristics and drivers of ecological vulnerability in the mountains of southwest China DOI Creative Commons

Suling He,

Lanping Nong,

Jinliang Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112680 - 112680

Published: Oct. 1, 2024

Language: Английский

Citations

0

Evaluation and driving force analysis of ecological environment in low mountain and hilly regions based on optimized ecological index DOI Creative Commons
Xinyao Wang,

Xuedong Wang,

Xin Jin

et al.

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

Published: Oct. 19, 2024

In low mountain and hilly regions, vegetation cover is higher plant growth has an accumulative effect, sequestering carbon more strongly. The traditional remote sensing based ecological index (RSEI) lacks the consideration of productivity, using it to evaluate environment in regions will be biased. this study, productivity was introduced construct a natural (NRSEI) that responds as example Gaizhou City, China. Additionally, study explored spatiotemporal evolution quality from 2014 2020 quantified influences factors. results show first principal component (PC1) increased 56 67% 65–87% considered accumulation process ecosystem. NRSEI valid. From 2020, generally declined then increased. area with "Excellent" 23 38%. ecosystems west, northwest, south deteriorated significantly, distribution pattern "high center, north south". Landuse topographic conditions dominate impacts on ecosystem context social, economic policy influences. interactions factors were two-factor enhancement together affect environment. contribute development urban conservation policies regions.

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