Published: Jan. 1, 2024
Language: Английский
Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(6), P. 2774 - 2791
Published: April 3, 2024
ABSTRACT Atmospheric Carbon Dioxide (CO2), a significant greenhouse gas, drives climate change, influencing temperature, rainfall, and the hydrologic cycle. This alters precipitation patterns, intensifies storms, changes drought frequency timing of floods, impacting ecosystems, agriculture, water resources, societies globally. Understanding how global CO2 fluctuations impact regional atmospheric levels can inform mitigation strategies Facilitate resources management. The study investigates affect concentrations (XCO2) in Iran from 2015 to 2020, aiming against change. XCO2 data OCO-2 satellite surface flux Copernicus Atmosphere Monitoring Service (CAMS) were analyzed. Over 6 years, increased steadily by 12.66 ppm, mirroring rises. However, Iran's decreased, with slight increases anthropogenic emissions but decreased natural total fluxes. Monthly patterns exhibited variations, reaching its zenith spring dipping lowest point during summer, while peaked summer months. results reveal discrepancy between trends. While barely 2015–2020, fluxes decreased. over this period, indicating dominant rather than local factors on XCO2. Curbing worldwide gas output is imperative disrupt current trajectory Reporting plans, reducing combat warming minimize impacts
Language: Английский
Citations
10
Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)
Published: Jan. 1, 2025
Abstract Exploring the coupling relationship of “pattern–process–quality” is conducive to understanding internal mechanism habitat quality change, and great significance for function maintenance sustainable management regional ecosystems. Existing studies mainly analyze spatial-temporal evolution from perspective “pattern quality” land use data. However, variation in result many factors such as habitat. Therefore, it necessary consider these comprehensively when studying change quality, so understand more deeply. This study takes Cambodia, a tropical monsoon climate region, research area, uses cover data 2000 2022 source. InVEST model used explore between use, landscape pattern, ecological process. The results show that (1) during 2000–2022, forest Cambodia covered wide range, showing pattern distributed east west. (2) degree fragmentation impervious increased gradually 2022, indicating was seriously affected by human activities natural factors, with increase elevation slope, area various types converted decreased. (3) During high areas were concentrated Tonle SAP Lake east, southwest, central part while low part. (4) Natural socio-economic policies, regulations all have an impact on Cambodia.
Language: Английский
Citations
1
International Journal of Agricultural Sustainability, Journal Year: 2024, Volume and Issue: 22(1)
Published: April 10, 2024
While it is crucial to consider the ecological trade-offs of cover crop effects promote sustainable agricultural production, there has been limited analysis combined crops on various ecosystem services. For this purpose, we synthesized 43 meta-analysis and review studies comparing monocropping in order investigate benefits, challenges, among services under implementation. We summarized current state knowledge effectiveness across 11 three categories (regulating, provisioning supporting). identified factors influencing relative benefits risks integrating into production systems. These include farm practices, planting termination season, species main crop, climatic zone soil properties, biomass, residue management. Our findings highlight that compared monocropping, general, cropping enhances biodiversity nutrient cycling, prevents runoff Nitrogen leaching, improves physical properties carbon sequestration over long term, suppresses pests weeds. However, comprise inconsistencies primary yields water provision. Overall, our result highlighted a multifunctional implementation provides substantially more regulating supporting than other
Language: Английский
Citations
8
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 461, P. 142633 - 142633
Published: May 21, 2024
Language: Английский
Citations
8
Journal of Geovisualization and Spatial Analysis, Journal Year: 2024, Volume and Issue: 8(2)
Published: Aug. 7, 2024
Language: Английский
Citations
6
CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108878 - 108878
Published: March 4, 2025
Language: Английский
Citations
0
Environmental Challenges, Journal Year: 2024, Volume and Issue: 15, P. 100946 - 100946
Published: April 1, 2024
Understanding the factors controlling spatial and temporal variability of atmospheric methane concentration (XCH4) is crucial for mitigating its impacts implementing emission reduction strategies. This study comprehensively investigates XCH4 driving (environmental, meteorological, anthropogenic activity) across Iran over 20 years, from 2003 to 2022. It combines multi-source satellite observations, advanced spatiotemporal modeling techniques, correlation analysis, machine learning algorithms. The analysis showed notable variation, with high levels in central, southern, eastern lower northwest north. Moreover, distinct seasonal cycles emerged, maximum occurring during summer (August-September) minimum spring (April-May). Correlation variable importance assessment were developed elucidate key drivers governing dynamics. revealed that vegetation cover, precipitation, soil moisture negatively correlated XCH4, while temperature indices a positive correlation, exhibiting highest time dispersion quantity among studied variables. Permutation Importance technique, used Random Forest classifier, learning-based approach considers role all variables together, land surface temperature, wind speed, moisture, cover are dominant controls, their ranked respectively. Surprisingly, emissions played relatively minor shaping distributions at regional scale. These findings highlight significant influence meteorological ecosystem processes on modulation, revealing intricate Earth system feedbacks inform targeted mitigation strategies predictive models curbing greenhouse gas climate change impacts.
Language: Английский
Citations
3
Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 101406 - 101406
Published: Nov. 1, 2024
Language: Английский
Citations
2
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144648 - 144648
Published: Dec. 1, 2024
Language: Английский
Citations
1
Applied Geography, Journal Year: 2024, Volume and Issue: 171, P. 103364 - 103364
Published: Aug. 13, 2024
Language: Английский
Citations
1