Spatial and Temporal Analysis of Habitat Quality in the Yellow River Basin Based on Land-Use Transition and Its Driving Forces DOI Creative Commons

Yibo Xu,

Xiaohuang Liu,

Lianrong Zhao

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 759 - 759

Опубликована: Апрель 2, 2025

Land-use transition has diverse influences on habitat quality. At present, land-use patterns and quality in the ecologically fragile Yellow River Basin are undergoing significant change. However, relationship between driving factors of dynamics across whole basin remain unclear. In this study, we utilized a matrix an InVEST model to analyze land use, quality, two from 2005 2020. The were explored with spatial econometric model. results showed following: (1) areas farmland grassland accounted for more than 70%, but decreased by 14,600 km2 2500 km2, respectively. forest construction increased 1800 16,900 (2) trend decrease-then-increase. low value (0–0.2) largest, accounting about 50% total area; regions relatively high (0.6–0.8) (0.8–1) small scattered mountainous area, 10%. (3) was lowest categorized as transitioning construction, highest unchanged characterized forest. coupling coordination degree steady upward trend. (4) growth rate added secondary industries, GDP per capita, population density, ecological-protection policy score, average annual temperature, precipitation primary affecting This study fills gap analysis Basin; work assists understanding ecological effects region provides suggestions development other densely populated areas.

Язык: Английский

Unstable changes in ecological quality of the four major sandy lands in northern China based on Google Earth Engine DOI Creative Commons

Haowen Ma,

Yongfang Wang,

Enliang Guo

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113195 - 113195

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The difference in ecological environmental quality impact factors between human activity zone and non-human activity zone in arid regions: A case study of the northern slope of the Tianshan Mountains DOI Creative Commons
Yu Cao, Jiayi Zhang, Zhengyong Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113226 - 113226

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Monitoring and Evaluation of Ecological Environment Quality in the Tianshan Mountains of China Using Remote Sensing from 2001 to 2020 DOI Open Access
Yuting Liu, Zhifang Chai, Qifei Zhang

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1673 - 1673

Опубликована: Фев. 17, 2025

High-altitude mountainous regions are highly vulnerable to climate and environmental shifts, with the current global change exerting a profound influence on ecological landscape of Tianshan Mountains in China. This study assesses security quality China from 2001 2020 by employing various remote sensing techniques such as Remote Sensing Ecological Index (RSEI) for evaluation, Normalized Difference Vegetation (NDVI) fractional vegetation cover (FVC) analysis, CASA model estimating primary productivity (NPP), carbon source/sink calculating net ecosystem (NEP) vegetation. The research also delves into evolutionary trends impact mechanisms environment using land use meteorological data. findings reveal that RSEI’s principal component (PC1) exhibits significant explanatory power, showing notable increase 5.90% 2020. Despite relatively stable changes RSEI over past two decades covering 61.37% area, there is prevalent anti-persistence pattern at 72.39%. Notably, NDVI, FVC, NPP display upward characteristics. While most areas continue emit carbon, marked NEP, signifying an enhanced absorption capacity. partial correlation coefficients between temperature, well precipitation, demonstrate statistically relationships (p < 0.05), encompassing 6.36% 1.55% respectively. Temperature displays predominantly negative 98.71% significantly correlated zones, while precipitation positive correlation. An in-depth analysis how affects provides crucial insights strategic interventions enhance regional protection promote sustainability.

Язык: Английский

Процитировано

0

Divergent Responses of Ecological Quality Under Various Periods of Urbanization in the Yangtze River Basin of China DOI Open Access
Jingxian Xu, Y. P. Jing, Wenjia Yan

и другие.

Sustainability, Год журнала: 2025, Номер 17(6), С. 2756 - 2756

Опубликована: Март 20, 2025

Ecological security describes the capacity of ecosystems to maintain their integrity and resilience under anthropogenic natural pressures. The Yangtze River Basin plays a critical role in China’s ecological economic growth. In this study, spatiotemporal patterns drivers quality indexes (EQIs) from 2000 2018 were explored using spatial trend analysis importance analysis. results demonstrated that EQI changes showed an overall downward during study period, while regions with significant increases EQIs concentrated southwestern basin. Moreover, differences between mega cities ordinary analyzed. decline rate was relatively smaller than cities. Additionally, drivers, including global artificial impervious area (GAIA) rate, population density, gross domestic product (GDP), identified as factors affecting environmental quality. Among them, increase proportion areas most driver degradation both important driving varied two types This provides theoretical basis decision support for green development Basin. future, policymakers should focus on dominant develop appropriate management measures.

Язык: Английский

Процитировано

0

Spatial and Temporal Analysis of Habitat Quality in the Yellow River Basin Based on Land-Use Transition and Its Driving Forces DOI Creative Commons

Yibo Xu,

Xiaohuang Liu,

Lianrong Zhao

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 759 - 759

Опубликована: Апрель 2, 2025

Land-use transition has diverse influences on habitat quality. At present, land-use patterns and quality in the ecologically fragile Yellow River Basin are undergoing significant change. However, relationship between driving factors of dynamics across whole basin remain unclear. In this study, we utilized a matrix an InVEST model to analyze land use, quality, two from 2005 2020. The were explored with spatial econometric model. results showed following: (1) areas farmland grassland accounted for more than 70%, but decreased by 14,600 km2 2500 km2, respectively. forest construction increased 1800 16,900 (2) trend decrease-then-increase. low value (0–0.2) largest, accounting about 50% total area; regions relatively high (0.6–0.8) (0.8–1) small scattered mountainous area, 10%. (3) was lowest categorized as transitioning construction, highest unchanged characterized forest. coupling coordination degree steady upward trend. (4) growth rate added secondary industries, GDP per capita, population density, ecological-protection policy score, average annual temperature, precipitation primary affecting This study fills gap analysis Basin; work assists understanding ecological effects region provides suggestions development other densely populated areas.

Язык: Английский

Процитировано

0