
Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102789 - 102789
Published: Aug. 23, 2024
Language: Английский
Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102789 - 102789
Published: Aug. 23, 2024
Language: Английский
Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102667 - 102667
Published: June 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.
Language: Английский
Citations
13Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102748 - 102748
Published: July 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.
Language: Английский
Citations
12Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102936 - 102936
Published: Dec. 1, 2024
Language: Английский
Citations
5Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 469, P. 143233 - 143233
Published: July 22, 2024
Language: Английский
Citations
4Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102977 - 102977
Published: Jan. 1, 2025
Language: Английский
Citations
0Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103092 - 103092
Published: Feb. 1, 2025
Language: Английский
Citations
0Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100223 - 100223
Published: April 1, 2025
Language: Английский
Citations
0Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102789 - 102789
Published: Aug. 23, 2024
Language: Английский
Citations
1