Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(54), P. 115745 - 115757
Published: Oct. 27, 2023
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 916, P. 170163 - 170163
Published: Jan. 17, 2024
Agricultural Biodiversity dynamics has been evaluated by social metabolism or landscape structure-function analysis. In this study, using ELIA modeling, we used both methods in combination to understand how the interplay between and can affect biodiversity pattern distribution. We energy reinvestment (E) as an indicator of heterogeneity (Le) structure-function. propose a research hypothesis analyze patterns considering four different clusters identified based on high low E Le. As cluster 1, defined Le associated natural ecosystems it. These are expected contain species abundance but richness. 2, were semi-natural it, where nature friendly farm system developed. these ecosystems, richness expected. Cluster 3 with was intensive farmland, which is due simplification landscape. Here, confirm that ecosystem services related have drastically reduced. Lastly, 4 refers mosaics farmland pasture. cluster, index spatial diversity, lack reinvestment. evaluate proposed for analysis Qazvin province, emphasizing availability shaping ecological communities. This study highlights importance understanding at scale emphasizes need interdisciplinary address conservation sustainability challenges. Our approach would be very useful there data.
Language: Английский
Citations
11
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
Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 108009 - 108009
Published: Feb. 1, 2025
Language: Английский
Citations
1
Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 8(1), P. 135 - 164
Published: Jan. 1, 2024
Language: Английский
Citations
7
Acta Geophysica, Journal Year: 2023, Volume and Issue: 72(2), P. 1191 - 1226
Published: Oct. 3, 2023
Language: Английский
Citations
14
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
4
Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(3)
Published: March 1, 2025
Language: Английский
Citations
0
American Journal of Environmental and Resource Economics, Journal Year: 2025, Volume and Issue: 10(2), P. 38 - 45
Published: April 29, 2025
Climate change and global warming caused by the increase of atmospheric greenhouse gases (GHG) are some most important challenges recent years future generations. With beginning industrial revolution changes in human life, need for energy consumption fossil fuels has increased emission GHGs. is one facing agriculture food security at level. An temperature, rainfall pattern, occurrence droughts, frequent floods can lead to a decrease yield agricultural products finally insecurity. Developing countries more risk due weak infrastructure. As country, Iran located arid semi-arid region world under influence serious climate changes. There problems such as reduction water resources, precipitation pattern Iran. These production products, resources drinking water, an economic social issues. To face this challenge, solutions cultivating crops resistant drought heat, improving management soil management, developing new technologies, promoting sustainable patterns necessary. Also, international cooperation investment infrastructure be helpful. The training farmers adaptation methods also great importance. By applying appropriate strategies, strengthened against threats change.
Language: Английский
Citations
0
Atmosphere, Journal Year: 2024, Volume and Issue: 15(4), P. 440 - 440
Published: April 2, 2024
Carbon dioxide (CO2) is currently the most harmful greenhouse gas in atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets of great practical significance for mitigating effect, identifying and controlling carbon emission sources, achieving cycle management. However, mainstream satellite observations provide XCO2 with coarse spatial resolution, which insufficient to support needs higher-precision research. To address this gap, study, we integrate information extreme random trees model develop a new machine learning called (SExtraTrees) reconstruct 1 km resolution dataset China from 2016 2020. The results indicate that predictive ability more stable has higher fitting accuracy compared other methods. Overall, shows an increasing trend year by year, distribution revealing significantly levels eastern coastal regions western inland areas. contributions study are primarily following areas: (1) Considering heterogeneity combining features advantages learning, construct model, verified have high accuracy. (2) Using 2020, providing data reduction related decision making. (3) Based on generated dataset, analyze spatiotemporal patterns China, thereby improving policies sustainable development measures.
Language: Английский
Citations
3
Buildings, Journal Year: 2024, Volume and Issue: 14(5), P. 1266 - 1266
Published: April 30, 2024
The rapid pace of urbanization and the increasing concentration populations in urban areas have generated a substantial demand for architectural structures, resulting significant increase building stock continuous material flows that interact with environment. This study emphasizes importance high-spatial-resolution mapping residential effective urban-construction resource management, planning, waste management. Focusing on Xi’an as case study, research develops comprehensive framework by integrating diverse data dimensions, including temporal, spatial, network, multi-attribute aspects. findings indicate between 1990 2020, approximately 4758 communities were established central Xi’an. analysis seven key construction materials revealed escalated from 1.53 million tons to 731.12 tons, steady spatial expansion distribution. attributes this growth factors such population increase, economic advancement, policy initiatives, which, turn, driven reinforced interdependence development. Remarkably, surged 2.1-fold, economy 66-fold, 477-fold, indicating rate consistently outpaced both growth. Over past three decades, buildings has led encroachment ecological spaces concrete structures. methodology proposed quantifying offers valuable insights policymakers environmental planners foster responsible consumption supports component-level circularity built
Language: Английский
Citations
2