Application of a Modified Ecological Quality Monitoring Method in the Southeastern Hilly Region of China DOI Creative Commons
Yu‐Sheng Huang,

Xinyue Fu,

Jinming Sha

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4731 - 4731

Published: Dec. 18, 2024

The southeastern hilly region of China is ecologically significant but highly vulnerable to climate change and human activities. This study developed a Modified Remote Sensing Ecological Index (MRSEI) using satellite imagery Human Footprint data assess ecological quality across 14 cities surrounding the Wuyi Mountains. We applied Sen’s slope analysis, Mann–Kendall test, spatial autocorrelation evaluate spatiotemporal changes from 2000 2020, used partial correlation analysis explore drivers these changes. main findings are as follows: (1) generally improved over period, with year-to-year fluctuations. eastern region, characterized by higher altitudes, consistently exhibited better than western region. area low-quality zones significantly decreased, while Ji’an, Ganzhou, Heyuan, Meizhou saw most notable improvements. In contrast, urban areas experienced marked decline in quality. (2) undergoing warming wetting trends. Increased precipitation, especially northern regions, quality, except areas, where it heightened flood risks. Rising temperatures had mixed effects: they enhanced high-altitude (~516 m) negatively impacted low-altitude regions (~262 due intensified heat stress. (3) Although industrial restructuring reduced environmental pressure, rapid population growth expansion created new challenges. provides an innovative method for monitoring effectively integrating activity climatic factors into assessments. offer valuable insights sustainable development management similar sensitive regions.

Language: Английский

Ecological Sensitivity of the Mata Allo Sub-Watershed, South Sulawesi: A Spatial Analysis Using Principal Component Analysis DOI Open Access
Syamsu Rijal,

Samsuri Samsuri,

Heni Masruroh

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 447 - 447

Published: Jan. 9, 2025

Watersheds are critical ecosystems that provide essential services, but they face increasing threats from deforestation, land use changes, and climate variability. The Mata Allo Sub-Watershed, which is characterized by steep topography high rainfall, particularly vulnerable to erosion, landslides, habitat loss, necessitating robust conservation strategies. This study used principal component analysis (PCA) assess ecological sensitivity, focusing on slope, vegetation density, cover. PCA results identified cover as the most influential positive factor in F1 (loading value: 0.588), sensitivity due human-induced while rainfall contributed negatively (−0.638) potentially mitigating extreme risks. These contrasting roles underscore complexity of interactions shaping watershed sensitivity. Slope strongly influenced F2 (−0.795), explaining 26.48% variance highlighting role slopes exacerbating erosion Vegetation density F3 (−0.679) F4 (−0.724) played significant stabilizing soil risks, emphasizing their importance reducing “Extremely Sensitive” class covers 48.79% watershed, primarily areas with sparse vegetation, “High Sensitivity” occupy 34.93%. Projections for 2032 suggest a reduction zones 41.00%, reflecting improvements targeted management interventions. findings foundation promoting sustainable management, enhancing resilience, supporting biodiversity efforts regions.

Language: Английский

Citations

0

Quality Assessment and Identification of Key Areas for Ecological Conservation Projects in Inner Mongolia DOI Creative Commons
Tianqi Li, Panyu Chen, Jiayi Lin

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 438 - 438

Published: Feb. 20, 2025

In the context of global climate change, implementing ecological projects in China is critical for improving ecosystem quality, conservation, and sustainable development. Despite progress, engineering areas remain vulnerable to degradation. Assessing these identifying key regions improvement essential guiding project construction fostering This study analyzed spatial differentiation health greenness Inner Mongolia Autonomous Region, a area “Three-North Shelterbelt Forest Project” (TNSFP). A dual assessment framework integrating indicators was developed comprehensively evaluate benefits identify priority management. The results indicate following: (1) Among 104 counties districts Mongolia, with high Ecological Health Index (EHI) values are primarily located forests grasslands, while low EHI found agricultural–pastoral transition zones, deserts, Gobi, urban western Mongolia; (2) Greenness (EGI) exhibits medium across most except Daxinganling woodland area. Low EGI predominantly desert grassland west, as well central (3) Quality (EQI) at raster scale shows general decline from northeast southwest, concentrated areas; (4) Key quality mainly deserts Gobi areas, accounting approximately 23.65% These findings provide valuable insights planning management TNSFP offer significant support decision-making.

Language: Английский

Citations

0

Application of a Modified Ecological Quality Monitoring Method in the Southeastern Hilly Region of China DOI Creative Commons
Yu‐Sheng Huang,

Xinyue Fu,

Jinming Sha

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4731 - 4731

Published: Dec. 18, 2024

The southeastern hilly region of China is ecologically significant but highly vulnerable to climate change and human activities. This study developed a Modified Remote Sensing Ecological Index (MRSEI) using satellite imagery Human Footprint data assess ecological quality across 14 cities surrounding the Wuyi Mountains. We applied Sen’s slope analysis, Mann–Kendall test, spatial autocorrelation evaluate spatiotemporal changes from 2000 2020, used partial correlation analysis explore drivers these changes. main findings are as follows: (1) generally improved over period, with year-to-year fluctuations. eastern region, characterized by higher altitudes, consistently exhibited better than western region. area low-quality zones significantly decreased, while Ji’an, Ganzhou, Heyuan, Meizhou saw most notable improvements. In contrast, urban areas experienced marked decline in quality. (2) undergoing warming wetting trends. Increased precipitation, especially northern regions, quality, except areas, where it heightened flood risks. Rising temperatures had mixed effects: they enhanced high-altitude (~516 m) negatively impacted low-altitude regions (~262 due intensified heat stress. (3) Although industrial restructuring reduced environmental pressure, rapid population growth expansion created new challenges. provides an innovative method for monitoring effectively integrating activity climatic factors into assessments. offer valuable insights sustainable development management similar sensitive regions.

Language: Английский

Citations

1