Assessment of Landscape Ecological Risk and Its Driving Factors for the Ebinur Lake Basin from 1985 to 2022 DOI Creative Commons

Ayinigaer Adili,

Biao Wu,

Jiayu Chen

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1572 - 1572

Published: Sept. 27, 2024

The Ebinur Lake Basin (ELB), which is a typical watershed in an arid region, has extremely delicate natural ecosystem. Rapid urbanisation and economic growth have triggered substantial ecological environmental transformations this key hub of Xinjiang. However, comprehensive systematic knowledge the evolving conditions ELB remains limited. Therefore, study modelled landscape risk index (LERI) using land use/land cover (LULC) data from 1985 to 2022 assessed drivers (LER) geographical detector model (GDM). findings revealed that (1) 2022, construction land, cropland, forestland areas increased, whereas those water bodies, grasslands, barren decreased. (2) Between LER showed downward trend. Spatially, was predominantly characterised by lower lowest levels. higher highest status been around lake continued improve each year. (3) Climatic factors, particularly temperature precipitation, were identified as most significant change 2022. provide crucial scientific for advancing sustainable development maintaining security ELB.

Language: Английский

Analysis of Landscape Pattern and Ecological Risk Change Characteristics in Bosten Lake Basin Based on Optimal Scale DOI

Adila Yaermaimaiti,

Xinguo Li, Xiangyu Ge

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Study on the spatial and temporal evolution of ecosystem service value based on land use change in Xi'an City DOI
Lei Han, Li Yan,

Zhemin Ge

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

Abstract Abstract: Ecosystem service value (ESV) is crucial for understanding regional ecological benefits and resources. This study, based on data from the Chinese Academy of Sciences, examines land use changes in Xi'an over past two decades. We refined ESV coefficients using a method integrating biomass factor Shaanxi Province's farmland ecosystems.Our findings show stable proportions cultivated forest 2000 to 2020, despite an increase construction decrease areas. Forest unused lands remained stable, while grassland water bodies fluctuated. related increased by 938.8 million yuan this period, with high-value areas mainly forested regions south Qinling Mountains along Weihe, Bahe, Chanhe Rivers. Low zones were concentrated urban core.This research improves methodologies quantifying ESV, providing support resource management, conservation, high-quality development China's major cities. These inform policy-making sustainable growth.

Language: Английский

Citations

0

Assessing the Impact of Human Activities on Ecosystem Asset Dynamics in the Yellow River Basin From 2001 to 2020 DOI
Ming Lei, Yuandong Wang, Guangxu Liu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 15, 2024

Abstract The intensification of human activities in the Yellow River Basin has significantly altered its ecosystems, challenging sustainability region's ecosystem assets. This study constructs an asset index for period from 2001 to 2020, integrating it with footprint maps analyze temporal and spatial dynamics assets within basin, as well their interrelationships. Our findings reveal significant restoration assets, mainly attributed conversion farmland back into natural habitats, resulting a 15,994 km2 increase ecological land use. Notably, 45.88% basin experienced concurrent growth both expanding at faster rate (22.61%) than (17.25%). Areas high-quality are expanding, contrast areas intense activities, which facing increased fragmentation. Despite global escalation threats local threat level slightly diminished, indicating trend towards dispersion. Results highlight critical importance quality considerations efforts enhance overall condition especially under increasing pressures. work assesses impact on offering valuable insights development region, may provide scientific basis general watershed protection sustainable management region heavily influenced by activity but path recovery.

Language: Английский

Citations

0

Spatial Correlation of Landscape Fragmentation and Ecological Sensitivity in China’s Giant Panda National Park and Surrounding Areas DOI Open Access

Huimei Xia,

Feng Lü, Junjie Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7371 - 7371

Published: Aug. 27, 2024

The Giant Panda National Park (GPNP) and its surrounding areas constitute a comprehensive ecosystem aimed at protecting the natural habitat of giant pandas, maintaining biodiversity, ensuring ecological balance. Investigating spatial correlation between landscape pattern indices sensitivity (ES) in this area is crucial step construction civilization contributes significantly to conservation, restoration, environmental management. This study utilized Geographic Information Systems (GIS) Fragstats software select nine evaluation factors four comprehensively evaluate ES patterns GPNP areas. discovered that substantially higher than neighboring areas, with northern Qionglai Mountain western Minshan showing highest concentrations exceptionally high sensitivity. Highly sensitive account for 35.22% region, concentrated within national park, except Qinling area, as well southern distribution moderately more uniform, while low insensitive are found primarily eastern along park’s environs. Patch density (PD) lower PD central parts. division index (DIVISION) decreases from west east, disturbance (LDI) park small LDI entire region. Moran’s analysis shows positively correlated (PD, SPLIT, DIVISION, LDI), strongest DIVISION Spatially, internal have but sensitivity, region exhibits severe fragmentation. Major clusters values around Qionglai-Daxiangling indicating these complex structures, numerous edges, significant impacts on biodiversity processes. Overall, exhibit levels fragmentation, emphasizing need focused protection part QLS MS Additionally, attention should be given impact fragmentation interior GPNP. These results provide scientific evidence sustainable development

Language: Английский

Citations

0

Assessment of Landscape Ecological Risk and Its Driving Factors for the Ebinur Lake Basin from 1985 to 2022 DOI Creative Commons

Ayinigaer Adili,

Biao Wu,

Jiayu Chen

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1572 - 1572

Published: Sept. 27, 2024

The Ebinur Lake Basin (ELB), which is a typical watershed in an arid region, has extremely delicate natural ecosystem. Rapid urbanisation and economic growth have triggered substantial ecological environmental transformations this key hub of Xinjiang. However, comprehensive systematic knowledge the evolving conditions ELB remains limited. Therefore, study modelled landscape risk index (LERI) using land use/land cover (LULC) data from 1985 to 2022 assessed drivers (LER) geographical detector model (GDM). findings revealed that (1) 2022, construction land, cropland, forestland areas increased, whereas those water bodies, grasslands, barren decreased. (2) Between LER showed downward trend. Spatially, was predominantly characterised by lower lowest levels. higher highest status been around lake continued improve each year. (3) Climatic factors, particularly temperature precipitation, were identified as most significant change 2022. provide crucial scientific for advancing sustainable development maintaining security ELB.

Language: Английский

Citations

0