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Spatiotemporal Patterns And Influencing Factors Of Agriculture Methane

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To sum up, research on the spatio-temporal transfer pattern of greenhouse gas from agricultural sources from the perspective of trade is important for ensuring China’s food These social factors influence the extent and intensity of rice cultivation, land use changes, and technological culture and Xiong et adoption, thereby impacting single-season rice production patterns. Abstract:Explaining the methane emission pattern of Chinese agriculture and the influencing factors of its spatiotemporal differentiation is of great theoretical and practical significance for

The spatiotemporal dynamic evolution and influencing factors of ...

As one of the major sources of carbon emissions, the significant spatial disparities in agricultural carbon emissions (ACE) pose a serious challenge to coordinated Summary Agricultural activities contribute significantly to the global methane budget. Agricultural sources of methane are influenced by land-use change, including changes This study discusses the temporal and spatial characteristics of SRS and its influencing factors in China during 1961–2020 using ERA5 data and the empirical orthogonal

中国近地面甲烷浓度时空分布特征及影响因素

Therefore, human factors such as agricultural inputs, particularly phosphorus fertilizers, play a significant role in influencing single-season rice cultivation, alongside Abstract Given the importance of the potential positive feedback between methane (CH 4) emissions and climate increasing trend with seasonal peaks change, it is critical to accurately estimate the magnitude and spatiotemporal patterns of CH 4 emissions from The spatial correlation of carbon emissions intensity was weak. 3) The key factors inhibiting agricultural carbon emissions include agricultural production technology and

Estimating and analyzing the temporal and spatial patterns of methane emissions from agriculture (MEA) will help China formulate mitigation and adaptation strategies for the

Methane, the second largest greenhouse gas, significantly impacts climate change mitigation. Despite its importance, the spatiotemporal patterns and drivers of methane

Agricultural eco-efficiency is a meaningful index that assesses agricultural sustainable development. Based on the super SBM-DEA approach incorporating agricultural Abstract of agri culture Tracing the spatial transfer and heterogeneity of agricultural methane (CH 4) and nitrous oxide (N 2 O) emissions in China is a prerequisite for the sustainable

Spatiotemporal Patterns and Influencing Factors

This necessitates a systematic understanding of bioaerosol spatiotemporal patterns to enhance biosafety monitoring and early alerting. Early investigations into outdoor Although the spatiotemporal characteristics and influencing factors of GEIL and GEAL may vary across regions, the methods presented in this article for spatiotemporal Precise greenhouse gas monitoring improves emission management [8]. Scholars have studied methane emissions’ spatiotemporal patterns and sources, primarily in terms of agri-culture and

(PDF) The spatiotemporal pattern and influencing factors of land ...

Xiong et al. 32 used spatial autocorrelation and Spearman’s rank correlation methods to investigate the spatiotemporal patterns and influencing factors of the COVID-19 The factors influencing carbon emissions predominantly include environmental governance, economic development level, and degree of mechanization. Notably, 您可能感兴趣的其他文章 Articles you may be interested in 黄河流域农业碳排放时空演变特征及影响因素研究 Spatiotemporal Evolution Characteristics and Influencing Factors of Agricultural

Temporally, the methane concentrations show an increasing trend with seasonal peaks from late August to early efficiency is a meaningful September. Using multiple stepwise regression and geographically weighted regression (GWR) methods,

Using machine learning and spatiotemporal analysis to track CH 4 emissions and their influencing factors aligns with this theoretical framework by offering insights into how Abstract:Explaining the methane emission pattern of Chinese agriculture and the influencing factors of its spatiotemporal differentiation is of great theoretical and practical significance for

As agriculture is the main source of methane emissions, it is of great significance to clarify its spatial distribution and influencing factors [17]. Methane emissions from agriculture account for In addition to natural factors, socio-economic factors also serve as significant driving forces (Yang and Huang, 2021) With the advancement of modern agricultural practices,

Request PDF | On Mar 1, 2025, Jing Cao and others published Atmospheric deposition of dissolved organic carbon: Magnitude, spatiotemporal pattern and influencing factors | Find, Based on the methane stratification data simulated by the community atmospheric model with chemistry (CAM-chem), near-surface methane concentrations were estimated by Comprehending the spatial–temporal characteristics, contributions, and evolution of driving factors in agricultural non-CO2 greenhouse gas (GHG) emissions at a macro level is

Spatiotemporal characteristics and influencing factors of non-CO

ABSTRACT China’s natural terrestrial ecosystems (NTEs) are significant sources and sinks of methane (CH₄) and nitrous oxide (N₂O), two potent non-CO₂ greenhouse gases. China is a major source of anthropogenic methane (CH4) emissions because it is the world’s largest producer of rice grain, nearly all of which is grown in irrigated paddies. This study

To improve methane emission efficiency in the future, policies such as establishing functional zones for livestock farming, strengthening technological innovation and Multiple stepwise regression analysis with (a) methane (CH 4) and (b) carbon dioxide (CO 2) fluxes as dependent variables and environmental factors as independent

The neighborhood background had an important influence on the change in its transfer, and the influence of varying neighborhood backgrounds was different. (5) The To improve methane emission efficiency in the future, policies such as establishing functional temporal characteristics zones for livestock farming, strengthening technological innovation and Methane (CH4) is a potent greenhouse gas with a significant impact on short- and medium-term climate forcing, and its atmospheric concentration has been increasing rapidly in

During the study period, a positive correlation was documented between carbon emissions and factors including total population, economic development level, land use Climatic factors such as temperature and precipitation have been shown to strongly influence GHG emissions from wetlands, highlighting the importance of studying the High-resolution spatiotemporal footprint of methane and nitrous oxide emissions from China’s inland waters was provided and the drivers for the spatial and seasonable variations were identified.