
Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112556 - 112556
Published: Sept. 14, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112556 - 112556
Published: Sept. 14, 2024
Language: Английский
Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113194 - 113194
Published: Feb. 1, 2025
Language: Английский
Citations
1Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03450 - e03450
Published: Jan. 1, 2025
Language: Английский
Citations
0Research in Cold and Arid Regions, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125089 - 125089
Published: March 30, 2025
Language: Английский
Citations
0Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102028 - 102028
Published: Nov. 8, 2024
Language: Английский
Citations
2Heliyon, Journal Year: 2024, Volume and Issue: 10(14), P. e34184 - e34184
Published: July 1, 2024
Socio-ecological systems (SESs) in arid regions have experienced multiple transformations throughout history due to human activities and natural forces. However, few studies used the resilience cycle model explain status determinants of SESs over past two millennia. This study proposes adaptive (ACR) perspective investigate regime shifts socio-ecological system interactions Tarim River Basin (TRB) An ACR framework combining a piecewise linear regression (PLR), theory, physical models has been built assess quantify resilience. Key indicators such as climate variability, settlement numbers, war frequency, glacier accumulation, oasis area changes are identified quantified evaluate adaptability transformability. Glacier accumulation serves proxy for long-term change, while reflect direct impact environmental feedback on ecosystem productivity. Population provide insights into social stability conflicts dynamics. The findings reveal that 7th century 1850s critical points ACR. 200s BC-350s AD 700s AD-900s forward loop (r-K) period 350s AD-700s 900s AD-1850s backward (Ω-α) phase. Assessing historical identifying key transition can inform proactive measures mitigate potential shifts. Combining data with theory provides deep understanding their driving factors. enriches theoretical offers robust case future assessments scenario analyses regions.
Language: Английский
Citations
1Journal of Rural Studies, Journal Year: 2024, Volume and Issue: 110, P. 103384 - 103384
Published: Aug. 1, 2024
Language: Английский
Citations
1Ecological Modelling, Journal Year: 2024, Volume and Issue: 501, P. 110997 - 110997
Published: Dec. 26, 2024
Language: Английский
Citations
0Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2484 - 2484
Published: July 6, 2024
Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, the analysis atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential application in ungauged areas, but their uncertainties may be significant, making it difficult to identify best specific regions. While situ data directly estimate gridded ET products, applicability limited areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method uncertainty Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS), Maximum Entropy Production (MEP) product without requiring prior information. Subsequently, a merged generated by combining estimates from three original products. Furthermore, study quantifies each individual across different vegetation covers then compares Merged with 645 sites. The results indicate GLEAM largest area, accounting 39.1% based on correlation coefficient criterion 39.9% error variation criterion. Meanwhile, FLDAS MEP exhibit similar performance characteristics. derived ETC demonstrates ability mitigate North American (NA) European (EU) regions, as well tundra, forest, grassland, shrubland areas. could effectively utilized reduce multiple
Language: Английский
Citations
0Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112556 - 112556
Published: Sept. 14, 2024
Language: Английский
Citations
0