Attributing spatially stratified heterogeneity in biodiversity of urban–rural interlaced zones based on the OPGD model DOI Creative Commons
Di Wang, Lang Zhang, Haoran Yu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 83, С. 102789 - 102789

Опубликована: Авг. 23, 2024

Язык: Английский

Quantitatively analyzing the driving factors of vegetation change in China: Climate change and human activities DOI Creative Commons
Yang Chen, Tingbin Zhang, Xuan Zhu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102667 - 102667

Опубликована: Июнь 5, 2024

Understanding the impact of climate change and human activities on vegetation dynamics is crucial for ecosystem management. Employing Residual Trend method integrating Normalized Difference Vegetation Index (NDVI) data with land use/cover, this study assesses impacts across China from 2000 to 2018. The findings indicate a consistent upward trend China's Growing Season NDVI (GSN), averaging rate 0.0032/yr. Human are primary drivers change, contributing 82.47% GSN in China, while accounts 17.53%. effect showed considerable variation different river basins, Huaihe River Basin experiencing highest (93.53%) Continental lowest (76.27%). Conversely, experienced greatest (23.73%), compared minimal influence (6.47%). results offer contribution rates each type changed unchanged use, persistent forestland, grassland, cropland, grassland forest conversion 28.65%, 22.09%, 13.76%, 4.61%, respectively. Persistent forestland emerges as most efficacious use facilitating restoration. Within forestlands Yangtze, Pearl, Southeast Basins, accounted 26.99%, 42.18%, 43.50% alterations, These provide scientific basis formulating effective management protection strategies.

Язык: Английский

Процитировано

13
Spatiotemporal characteristics and driving mechanisms of land-use transitions and landscape patterns in response to ecological restoration projects: A case study of mountainous areas in Guizhou, Southwest China DOI Creative Commons

Quan Wang,

Xuepiao Bai

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102748 - 102748

Опубликована: Июль 30, 2024

With the acceleration of urbanization and industrialization, land-use mode in mountainous areas has changed significantly, causing serious ecological destruction. Therefore, improving efficiency land-resource use enhancing protection are important issues. This study focuses on typical Guizhou Province to explore their significance not only for restoration but also sustainable socioeconomic development. In this study, we integrated framework interaction between transitions landscape patterns employed Spearman's rank correlation coefficient a spatial bivariate model reveal spatiotemporal heterogeneity transitions. The results showed that 1990–2020, cultivated, forest, grassland decreased by −1353.66, −749.98 − 541.72 km2 respectively, whereas water area, urban, other construction land increased 799.69, 542.62, 1230.90 km2, respectively. Moreover, cultivated converted into urban were 358.03 661.77 forest 3550.08 277.32 Different presented rapid expansion contraction characteristics, resulting an increase overall patch fragmentation, decrease uniformity, irregular patches, which enhanced diversity complexity. Finally, transition effects primarily elevation, slope, primary road facility factors. In-depth research transitional evolution its impact theoretical practical value formulating land-management policies promoting development areas.

Язык: Английский

Процитировано

12
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
Land use function changes and trade-offs/synergies across topographic gradients in the Three Gorges Reservoir Area, China DOI
Haozhe Zhang,

Qiang Tang,

Xiubin He

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 469, С. 143233 - 143233

Опубликована: Июль 22, 2024

Язык: Английский

Процитировано

4
Spatiotemporal evolution of farmland ecosystem stability in the Fenhe River Basin China based on perturbation-resistance-response framework DOI Creative Commons

Wenbao Lv,

Liqi Yang,

Zhanjun Xu

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 102977 - 102977

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Spatial diversity of coupled synergistic paths of rural settlements and sloping cultivated land utilization in karst mountain areas of Southwest China: A case study of Huajiang Canyon DOI Creative Commons

Linyu Yang,

Yangbing Li, Yiyi Zhang

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103092 - 103092

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Assessing carbon storage dynamics in an ecological civilization demonstration zone amid rapid urbanization: A multi-scenario study of Guizhou Province, China DOI Creative Commons
Rui Chen, Xuehai Fei,

Jingyu Zhu

и другие.

Resources Environment and Sustainability, Год журнала: 2025, Номер unknown, С. 100223 - 100223

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Attributing spatially stratified heterogeneity in biodiversity of urban–rural interlaced zones based on the OPGD model DOI Creative Commons
Di Wang, Lang Zhang, Haoran Yu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 83, С. 102789 - 102789

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

1