2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 1943 - 1949
Published: Dec. 15, 2024
Language: Английский
2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 1943 - 1949
Published: Dec. 15, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111689 - 111689
Published: Feb. 1, 2024
The impact of environmental change on vegetation dynamics plays a key role in ecosystem evolution, with demonstrating heightened sensitivity to both climate fluctuations and human activities. However, existing studies have not fully unveiled the emergence evolution patterns within holistic complex systems framework. Based long-term observational data normalized differential index (NDVI) meteorological reanalysis data, this study used mean synthesis trend analysis methods explore spatial distribution temporal variation NDVI Heihe River Basin (HRB). results show that continuous increase HRB from 1982 2015, growth rate post-2000 being 1.66 times higher than pre-2000, distinct seasonal periodic fluctuations. Spatially, thrives predominantly upstream downstream riparian zones HRB, displaying significant heterogeneity, it shows an obvious increasing middle lower reaches, especially after 2000. We built theoretical method using eigen microstates quantify dynamic changes vegetation. first two can account for 64% variations, among which microstate captures overall uptrend periodicity NDVI, while second highlights contributions soil moisture growth. In emerges as most influential factor improvement, surpassing other variables. Meanwhile, there's one-month lag response moisture, deeper exerts more pronounced effect coverage. This only validates effective applicability identifying attributing but also provides new perspective comprehending dynamics.
Language: Английский
Citations
4Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124885 - 124885
Published: March 12, 2025
Language: Английский
Citations
0Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 440 - 440
Published: April 10, 2025
Biomass burning (BB) results from complex interactions between ecosystems, humans, and climate, releasing large amounts of gases particles. Accurate BB emission estimates are essential for air quality, climate studies, impact assessments. Various existing bottom-up inventories show significant discrepancies, varying by factors 2 to 4 due uncertainties in burned areas (BAs), (EFs), vegetation parameters such as biomass density (BD) efficiency (BE). Here, we investigate the role these discrepancies Africa. Two inventories, AMMABB-like (African Monsoon Multidisciplinary Analysis Burning) GFED-like (Global Fire Emission Database) were developed Organic Carbon (OC) Black (BC). Both used identical fire products, maps, EF but different BD BE values. Results highlight substantial differences BE, with relative gaps ranging 44% 85.12%, explaining observed inventories. Key classes responsible emissions identified. Discrepancies 2.4 3.9 times GFED4-like, higher values Southern Hemisphere. Better regional distinctions both hemispheres would improve accuracy
Language: Английский
Citations
0International Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26
Published: April 20, 2025
Language: Английский
Citations
0Environmental Pollution, Journal Year: 2025, Volume and Issue: 375, P. 126314 - 126314
Published: April 25, 2025
Language: Английский
Citations
0Natural Hazards, Journal Year: 2025, Volume and Issue: unknown
Published: May 22, 2025
Language: Английский
Citations
0Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12
Published: Sept. 6, 2024
Changes in wildfire regimes are of growing concern and raise issues about how well we can model risks a changing climate. Process-based coupled fire-vegetation models, used to project future regimes, capture many aspects poorly. However, there is now wealth information from empirical studies on the climate, vegetation, topography human activity controls regimes. The measures quantify these vary among studies, but certain variables consistently emerge as most important: gross primary production measure fuel availability, vegetation cover continuity, atmospheric humidity drying. Contrary popular perception, ignitions generally not limiting factor for wildfires. In this review, describe fire models implement processes, synthesise current understanding extent severity, suggest ways which modelling could be improved.
Language: Английский
Citations
3The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 909, P. 168476 - 168476
Published: Nov. 18, 2023
Language: Английский
Citations
8The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171205 - 171205
Published: Feb. 24, 2024
Language: Английский
Citations
2