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

Hydropower Functional Zoning with Crowdsourced Geospatial Data: A Case Study in Sichuan Province DOI Creative Commons
Li Ju,

M. Luo,

Han Luo

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(12), P. 7260 - 7260

Published: June 18, 2023

Hydro-electric development has received increasing attention due to its characteristics of ecological and environmental protection. In addition, aquatic functional zoning plays a key role in the management basin because background basic unit. However, hydropower function seldom been considered zoning. This research proposes framework for on aquatic-and-terrestrial-coupled ecosystem with crowdsourced geospatial data spatial-clustering method. Sichuan Province was selected as area critical hydroelectric position China, it is divided into 53 level 3 zones, 27 2 17 1 zones. Focusing results zoning, ecological-environmental problem each future are discussed. The soil-erosion did not overlap hydroelectric-construction-affected Further, water pollution occurred construction zones core affected Fu River Basin Jialing Basin. next 10 years, middle upper reaches trunk Ya-lung will become areas hydropower-engineering projects. provides new insight various regional projects sustainable watersheds, which helpful hydroelectric-energy development.

Language: Английский

Citations

3

Construction of an Ecological Security Pattern Based on Ecological Sensitivity and MSPA–MCR Model: A Case Study with the Urban Central District of Harbin DOI Open Access
Yulin Liu,

Yi Lu,

Herui Zhou

et al.

Published: Oct. 10, 2023

Rapid urbanization has led to many ecological problems such as landscape fragmentation, decreased connectivity, and biodiversity. Building an security pattern is important way ensure maintain sustainable urban development. Harbin large-scale city in northeastern China, the central district of used study area. Ecological sensitivity assessment, MSPA, gravity model, connectivity assessment MCR model were extract source areas, corridors nodes area construct optimize pattern. Research shows that: A total 23 areas identified, mainly located along Songhua River part mountain forest within A-cheng District southeastern 48 extracted, Daowai District, eastern Xiangfang District. There are 8 10 connecting corridors. 61 first level 65 second extracted. High, higher, medium, lower low classified based on minimum cumulative resistance surface, with highest proportion high accounting for 45.75% breakpoints extracted restoration measures proposed. Finally, The structure optimization "two axes, two belts four areas" proposed, corresponding management put forward. experimental system this can provide new ideas construction patterns other regions scientific support development similar areas.

Language: Английский

Citations

2

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