Spatiotemporal patterns of abrupt vegetation changes and reversal trends in the Yellow River Basin: Climate and human drivers DOI
Xiaohui He, Tao Fan,

Mengjia Qiao

и другие.

Ecological Indicators, Год журнала: 2025, Номер 175, С. 113502 - 113502

Опубликована: Апрель 25, 2025

Язык: Английский

Spatiotemporal variations in eco-environmental quality and responses to drought and human activities in the middle reaches of the Yellow River basin, China from 1990 to 2022 DOI Creative Commons
Gexia Qin, Ninglian Wang, Yuwei Wu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102641 - 102641

Опубликована: Май 8, 2024

The middle reaches of the Yellow River basin (MYRB) are among regions most severely affected by soil erosion globally. It has always held a pivotal role in and water conservation ecological restoration efforts China. Nonetheless, face recurrent drought occurrences growing human intervention, there have been notable alterations eco-environmental quality (EEQ) within MYRB. However, influences intervention on EEQ MYRB remain unclear. In this study, remote sensing index (RSEI) was applied to quantify spatiotemporal changes contributions land use type transitions from 1990 2022. results showed that fluctuated significantly exhibited weak overall improvement trend over past 33 years. proportion good excellent grades for improved, while poor fair decreased, especially northern regions. follows phased pattern. During periods 1990–2002 2011–2022, an improving is observed, period 2003–2010 shows no significant change EEQ. Drought had strongest influence 2003 2010, followed 2002, lesser impact 2011 primarily positively influenced spring, autumn winter droughts negatively summer droughts, arid grassland unused areas. improved during initial final phases projects, with drought. increase project implementation less noticeable, period.

Язык: Английский

Процитировано

23

Optimization of landscape ecological risk assessment method and ecological management zoning considering resilience DOI
Jin Wang, Jin Man Wang, Jianing Zhang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124586 - 124586

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

2

Increased precipitation and vegetation cover synergistically enhanced the availability and effectiveness of water resources in a dryland region DOI
Siqi Gao, Yihe Lü,

Xiaohui Jiang

и другие.

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132812 - 132812

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis DOI Creative Commons

Hongjia Zhu,

Ao Wang, Pengtao Wang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 598 - 598

Опубликована: Март 12, 2025

As global climate change intensifies, its impact on the ecological environment is becoming increasingly pronounced. Among these, land surface temperature (LST) and vegetation cover status, as key indicators, have garnered widespread attention. This study analyzes spatiotemporal dynamics of LST Kernel Normalized Difference Vegetation Index (KNDVI) in 11 provinces along Yangtze River their response to based MODIS Terra satellite data from 2000 2020. The linear regression showed a significant KNDVI increase 0.003/year (p < 0.05) rise 0.065 °C/year 0.01). Principal Component Analysis (PCA) explained 74.5% variance, highlighting dominant influence urbanization. K-means clustering identified three regional patterns, with Shanghai forming distinct group due low variability. Generalized Additive Model (GAM) analysis revealed nonlinear LST–KNDVI relationship, most evident Hunan, where cooling effects weakened beyond threshold 0.25. Despite 0.07 increase, high-temperature areas Chongqing Jiangsu expanded by over 2500 km2, indicating limited mitigation. reveals complex interaction between KNDVI, which may provide scientific basis for development management adaptation strategies.

Язык: Английский

Процитировано

1

Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning DOI Creative Commons
Ming Lei, Yuandong Wang, Guangxu Liu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 84, С. 102887 - 102887

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

7

Assessment of ecosystem stability in the agro-pastoral transitional zone for local sustainable management: A case study in Duolun County, northern China DOI Creative Commons

Luwei Dai,

Haiping Tang,

Yunlong Pan

и другие.

Ecological Indicators, Год журнала: 2024, Номер 162, С. 112018 - 112018

Опубликована: Апрель 13, 2024

Assessing the ecosystem stability and influencing factors in fragile of agro-pastoral transitional zone Northern China (APTZNC) is essential for sustainable provision multiple services adaptive management. In this study, we selected Duolun County APTZNC as study area. The was assessed terms resistance resilience, spatial distribution were explored. results showed that mean value area 0.61 (at a medium–high level), while values resilience 0.38 0.36, respectively, medium–low level) past 21 years. patterns resistance, significant heterogeneity. Temperature elevation both negatively correlated with resistance. At same time, human activities socioeconomics are key which influence indicators. population density gross domestic product show correlation stability, also varies across different land uses. Forest ecosystems high compared to croplands grasslands when exposed climate change perturbations; cropland intensity disturbance loss grassland gradual improvement stability. These findings can provide effective information management regions or types context intensified activities.

Язык: Английский

Процитировано

6

Warming and disturbances affect Arctic-boreal vegetation resilience across northwestern North America DOI
Yue Zhang, Jonathan Wang, Logan T. Berner

и другие.

Nature Ecology & Evolution, Год журнала: 2024, Номер unknown

Опубликована: Окт. 8, 2024

Язык: Английский

Процитировано

6

Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index DOI Creative Commons

Leyi Zhang,

Li Xia, Xiuhua Liu

и другие.

Ecological Informatics, Год журнала: 2024, Номер unknown, С. 102936 - 102936

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

5

Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 928, С. 172481 - 172481

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

4

Spatial and Temporal Heterogeneity of Eco-Environmental Quality in Yanhe Watershed (China) Using the Remote-Sensing-Based Ecological Index (RSEI) DOI Creative Commons

Lingda Zhang,

Quanhua Hou, Yaqiong Duan

и другие.

Land, Год журнала: 2024, Номер 13(6), С. 780 - 780

Опубликована: Май 31, 2024

The long-term impacts of climate change and human activities have resulted in the Yanhe watershed, a typical watershed Loess Plateau region, exhibiting high degree vulnerability significant heterogeneity ecological environmental quality. This has led to degradation complex socio-ecological challenges. Consequently, there is an urgent need carry out research on spatial temporal differentiation patterns environment By utilizing remote sensing data spanning 21 years, this study evaluated evolutionary trends consistency quality (EEQ) within based remote-sensing-based index (RSEI). Furthermore, it examined global local autocorrelation RSEI by constructing hexagonal grid, thereby revealing spatiotemporal characteristics EEQ at different scales watershed. results were as follows: (1) exhibited overall upward trend past two decades, while displayed fluctuations; (2) Global Moran’s I values for years 2000, 2010, 2020 0.18, 0.32, 0.21, respectively, indicating presence RSEI; (3) will continue improve, although certain areas remains unstable due natural conditions activities. not only contributes technical framework analyzing but also provides actionable insights ecosystem restoration sustainability Our work advances understanding dynamics semi-arid regions offers model assessing similar contexts.

Язык: Английский

Процитировано

4