How does improving agricultural mechanization affect the green development of agriculture? Evidence from China

Journal of Cleaner Production, Год журнала: 2024, Номер 472, С. 143298 - 143298

Опубликована: Июль 30, 2024

Язык: Английский

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Agricultural Carbon Reduction in China: The Synergy Effect of Trade and Technology on Sustainable Development

Environmental Research, Год журнала: 2024, Номер 252, С. 119025 - 119025

Опубликована: Апрель 27, 2024

Язык: Английский

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Influencing factors and spatiotemporal heterogeneity of livestock greenhouse gas emission: Evidence from the Yellow River Basin of China

Journal of Environmental Management, Год журнала: 2024, Номер 358, С. 120788 - 120788

Опубликована: Апрель 11, 2024

Язык: Английский

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Prediction of Water Quality Index of Island Counties Under River Length System—A Case Study of Yuhuan City

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(3), С. 539 - 539

Опубликована: Март 11, 2025

In order to cope with the extremely difficult challenges of water pollution control, China has widely implemented river chief system. The quality monitoring surface environment, as a solid defense line safeguard human health and ecosystem balance, is great importance in As well-known island county China, Yuhuan City holds even more precious resources. Leveraging machine learning technology develop prediction models significance for enhancing evaluation environment quality. This case study aims evaluate effectiveness six predicting index (CWQI) uses SHAP (Shapley Additive exPlans) an interpretability analysis method deeply analyze contribution each variable model’s results. research results show that all exhibited good performance CWQI, number significantly correlated variables input increased, accuracy also showed gradual improvement trend. Under optimal combination, Extreme Gradient Boosting model demonstrated best performance, root mean square error (RMSE) 0.7081, absolute (MAE) 0.4702, adjusted coefficient determination (Adj.R2) 0.6400. Through analysis, we found concentrations TP (total phosphorus), NH3-N (ammonia nitrogen), CODCr (chemical oxygen demand) have significant impact on CWQI City. implementation system not only enhances pertinence management, but provides richer accurate data support models, further improving reliability models.

Язык: Английский

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Spatiotemporal Change of Crop Yield and Its Response to Planting Structural Shifts in Northeast China from 2001 to 2021

Land, Год журнала: 2025, Номер 14(3), С. 640 - 640

Опубликована: Март 18, 2025

As a pivotal region for safeguarding China’s food security, Northeast China requires quantitative evaluation of crop yield dynamics, planting structure shifts, and their interdependent mechanisms. Leveraging MODIS NPP data remote sensing-derived classification from 2001 to 2021, this study established estimation model. By integrating the Theil–Sen median slope estimator Mann–Kendall trend analysis, we systematically investigated spatiotemporal characteristics maize, rice, soybean yields. Phased attribution analysis was further employed quantify effects type conversions on total regional yield. The results revealed: (1) strong consistency between estimated yields statistical yearbook data, with validation R2 values 0.76 (maize), 0.69 (rice), 0.81 (soybean), confirming high model accuracy; (2) significant growth areas that spatially coincided core black soil zone, underscoring productivity-enhancing role conservation tillage practices; (3) all three crops exhibited upward trends, annual rates 1.33% 1.20% 1.68% (soybean). Spatially, high-yield maize were concentrated in southeast, rice productivity peaked along river basins, displayed distinct north-high-south-low gradient; (4) transitions contributed net increase 35.9177 million tons, dominated by soybean-to-maize (50.41% contribution), while maize-to-soybean shifts led 2.61% reduction. This offers actionable insights optimizing structures tailoring grain production strategies China, providing methodological framework analogous regions.

Язык: Английский

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Research on Crop Planting Strategies Based on Multi-Objective NSGA-III Optimization Algorithm and Robust Optimization

Опубликована: Янв. 10, 2025

Язык: Английский

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Promoting low-carbon land use: from theory to practical application through exploring new methods

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Июнь 4, 2024

Abstract Cities are main carbon emissions generators. Land use changes can not only affect terrestrial ecosystems carbon, but also anthropogenic emissions. However, monitoring at a spatial level is still coarse, and low-carbon land encounters the challenge of being unable to adjust patch scale. This study addresses these limitations by using land-use data various auxiliary explore new methods. The approach involves developing high-resolution model investigating patch-scale integrating high sink/source images with Future Use Simulation model. Between 2000 2020, results reveal an increasing trend in both sinks Shangyu district. Carbon offset approximately 3% total Spatially, north exhibits net emissions, while southern region functions more as sink. A 14.5% area witnessed change type, transfer-out cropland constituting largest 96.44 km 2 , accounting for 50% transferred area. Land-use transfer resulted annual increase 77.72 × 10 4 t between 2020. Through structure optimisation, projected 7154 C/year from 2030, significantly lower than amount Further optimisation scale enhance sink 129.59 C/year. conclusion drawn that there considerable potential reduce through control. methods developed our effectively contribute contexts support use, promoting application theory practice. will provide technological guidance planning, city so forth.

Язык: Английский

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Improving Northeast China’s soybean and maize planting structure through subsidy optimization considering climate change and comparative economic benefit

Land Use Policy, Год журнала: 2024, Номер 146, С. 107319 - 107319

Опубликована: Авг. 24, 2024

Язык: Английский

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Exploring the application and decision optimization of climate-smart agriculture within land-energy-food-waste nexus

Sustainable Production and Consumption, Год журнала: 2024, Номер 50, С. 536 - 555

Опубликована: Сен. 6, 2024

Язык: Английский

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Nonlinear Associations and Threshold Effects Between Agricultural Industrial Development and Carbon Emissions: Insights from China

Environmental Research Communications, Год журнала: 2024, Номер 6(10), С. 105038 - 105038

Опубликована: Окт. 1, 2024

Abstract With the inevitability of global climate change, it has become increasingly important to understand relationship between Agro-industrial Development (AID) and Agricultural Carbon Emissions (ACE) promote development low carbon production in agriculture. Using a panel datasets, as based on ‘element-structure-function’ framework 30 Chinese provinces over period from 2011–2021, entropy weight method was used calculate level AID each province. this approach, possible assess correlations mechanisms ACE. Here, with use fixed-effect, regulatory threshold models, we determined some critical factors contributing effects Our findings revealed: (1) displays an inverse U-shape ACE, verified through endogeneity robustness assessment, (2) A review suggests that crossing turning point inverted u-curve can be accelerated by moderating effect agricultural finance. (3) As analysis, two-tier digital economy, rural human capital farmers’ net income AID, facilitating emission reductions obtained after crossing. The significance increases function post-threshold interval. Taken together, these demonstrate long-standing interplay Thus, additional insights empirical evidence inform ongoing sustainable practices realized.

Язык: Английский

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