An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions DOI Creative Commons

Qingjun Wu,

Liyong Fu, Ram P. Sharma

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4854 - 4854

Published: April 27, 2025

As the cornerstone of terrestrial ecosystems, forests have faced mounting challenges due to escalating human activities, jeopardizing their vital ecological functions and even existence. It has become an important issue explore how promote harmonious coexistence man nature, or improve forest function (FEF) through activities. Thus, in this study, we select Yellow River Basin (YRB) China as a typical region. Firstly, assess FEF at county level reveal spatial distribution agglomeration characteristics on basis data from Ninth National Forest Inventory China. Then, using multiple linear regression (MLR) geographically weighted (GWR) modeling, further overall impacts different activities differences, respectively. Our findings underscored moderate deficiency county-level YRB, with pronounced positive agglomerations. The high–high areas are primarily clustered southern central mountainous areas, whereas low–low distributed upstream warm temperate steppe desert-grassland regions. Human exert substantial FEF, distinct heterogeneity coefficient significance levels. trend analysis indicates that is more sensitive increase living land, population density protection east–west direction. And north–south direction, easily affected by agricultural development, growth urbanization. This study verifies natural factors dominate those regions where quite scarce, also reveals inter-constraint counteract effects among may still ultimately depend endowments some populated We point out core activity affecting after excluding interference conditions. recommend policymakers prioritize sustainable development strategies mitigate adverse ecosystems while promoting conservation efforts tailored unique each

Language: Английский

Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China DOI Creative Commons

H Q Peng,

H. C. Lou,

Yifan Liu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 709 - 709

Published: March 26, 2025

Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial temporal evolution of landscape ecological resilience from perspective adaptive cycling is crucial. Using Changsha–Zhuzhou–Xiangtan urban in China as a case study, this research constructs “Risk-Potential-Connectivity” framework to evaluate resilience. This applies exploratory data analysis methods examine spatiotemporal associated patterns Geodetector model measure driving factors variation. study an cycle based on analysis, integrating potential connectivity indices classify development stages regions dynamically. The results showed that overall distribution pattern risk decreased center outward, whereas increased. average index 2000 2020 was 0.31, with declining trend shifting gravity northwest southeast. toughness exhibited high low aggregation, Moran greater than 0.75. Land-use intensity had strongest explanatory power (q = 0.3662) for differentiation drivers joint effects factor interaction higher single factors. Adaptive revealed Furong District protection stage, Xiangtan County Liling City reorganization no region yet release stage. findings offer better understanding interactive adaptation characteristics evolutionary social-ecological systems over extended periods, providing scientific support formulation strategies respond dynamic changes ecosystems.

Language: Английский

Citations

0
An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions DOI Creative Commons

Qingjun Wu,

Liyong Fu, Ram P. Sharma

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 4854 - 4854

Published: April 27, 2025

As the cornerstone of terrestrial ecosystems, forests have faced mounting challenges due to escalating human activities, jeopardizing their vital ecological functions and even existence. It has become an important issue explore how promote harmonious coexistence man nature, or improve forest function (FEF) through activities. Thus, in this study, we select Yellow River Basin (YRB) China as a typical region. Firstly, assess FEF at county level reveal spatial distribution agglomeration characteristics on basis data from Ninth National Forest Inventory China. Then, using multiple linear regression (MLR) geographically weighted (GWR) modeling, further overall impacts different activities differences, respectively. Our findings underscored moderate deficiency county-level YRB, with pronounced positive agglomerations. The high–high areas are primarily clustered southern central mountainous areas, whereas low–low distributed upstream warm temperate steppe desert-grassland regions. Human exert substantial FEF, distinct heterogeneity coefficient significance levels. trend analysis indicates that is more sensitive increase living land, population density protection east–west direction. And north–south direction, easily affected by agricultural development, growth urbanization. This study verifies natural factors dominate those regions where quite scarce, also reveals inter-constraint counteract effects among may still ultimately depend endowments some populated We point out core activity affecting after excluding interference conditions. recommend policymakers prioritize sustainable development strategies mitigate adverse ecosystems while promoting conservation efforts tailored unique each

Language: Английский

Citations

0