Search Results (179)

Based on the panel data of daily meteorological stations and winter wheat yield in Henan Province from 2000 to 2023, this study comprehensively used the Mann–Kendall trend test, wavelet coherence analysis (WTC), and other methods to reveal the temporal and spatial evolution of extreme precipitation and its multi-scale stress mechanism on grain yield. The results showed the following: (1) Extreme precipitation showed the characteristics of ‘frequent fluctuation-gentle trend-strong spatial heterogeneity’, and the maximum daily precipitation in spring (RX1DAY) showed a significant uplift. The increase in rainstorm events (R95p/R99p) in the southern region during the summer is particularly prominent; at the same time, the number of consecutive drought days (CDDs > 15 d) in the middle of autumn was significantly prolonged. It was also found that 2010 is a significant mutation node. Since then, the synergistic effect of ‘increasing drought days–increasing rainstorm frequency’ has begun to appear, and the short-period coherence of super-strong precipitation (R99p) has risen to more than 0.8. (2) The spatial pattern of winter wheat in Henan is characterized by the three-level differentiation of ‘stable core area, sensitive transition zone and shrinking suburban area’, and the stability of winter wheat has improved but there are still local risks. (3) There is a multi-scale stress mechanism of extreme precipitation on winter wheat yield. The long-period (4–8 years) drought and flood events drive the system risk through a 1–2-year lag effect (short-period (0.5–2 years) medium rainstorm intensity directly impacted the production system). This study proposes a ‘sub-scale governance’ strategy, using a 1–2-year lag window to establish a rainstorm warning mechanism, and optimizing drainage facilities for high-risk areas of floods in the south to improve the climate resilience of the agricultural system against the background of climate change. Full article

Goosegrass (Eleusine indica) is a major weed in Brazilian soybean, corn, and cotton systems, infesting over 60% of grain-producing areas and potentially reducing yields by more than 50%. Its competitiveness is due to its rapid emergence, fast tillering, C4 metabolism, and adaptability to various environmental conditions. A critical challenge relates to its widespread resistance to multiple herbicide modes of action, notably glyphosate and acetyl-CoA carboxylate (ACCase) inhibitors. Resistance mechanisms include 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) target-site mutations, gene amplification, reduced translocation, glyphosate detoxification, and mainly ACCase target-site mutations. This literature review summarizes the current knowledge on herbicide resistance in goosegrass and its management in Brazil, with an emphasis on integrating chemical and non-chemical strategies. Mechanical and physical controls are effective in early or local infestations but must be combined with chemical methods for lasting control. Herbicides applied post-emergence of weeds, especially systemic ACCase inhibitors and glyphosate, remain important tools, although widespread resistance limits their effectiveness. Sequential applications and mixtures with contact herbicides such as glufosinate and protoporphyrinogen oxidase (PPO) inhibitors can improve control. Pre-emergence herbicides are effective when used before or immediately after planting, with adequate soil moisture being essential for their activation and effectiveness. Given the complexity of resistance mechanisms, chemical control alone is not enough. Integrated weed management programs, combining diverse herbicides, sequential treatments, and local resistance monitoring, are essential for sustainable goosegrass management. Full article

As China’s primary grain-producing area, the Luxi Plain is rich in groundwater resources, which serves as the main water supply source in this region. Investigating the evolution of hydrochemical characteristics and influencing factors of groundwater in this region is crucial for maintaining the safety of groundwater quality and ensuring the high-quality development of the water supply. This study took Liaocheng City in the hinterland of the Luxi Plain as the study area. To clarify the hydrochemical characteristics evolution trend of groundwater in the area, the hydrochemical characteristics of shallow groundwater in recent years were systematically analyzed. The methods of ion ratio, correlation analysis, Gibbs and Gaillardet endmember diagrams, as well as the application of the absolute principal component scores–multiple linear regression (APCS-MLR) receptor model were used to determine the contribution rates of different ion sources to groundwater and to elucidate the driving factors behind the evolution of groundwater chemistry. Results showed significant spatiotemporal variations in the concentrations of major ions such as Na⁺, SO₄²⁻, and Cl⁻ in groundwater in the study area, and these variations demonstrated an overall increasing trend. Notably, the increases in total hardness (THRD), SO₄⁻, and Cl⁻ concentrations were particularly pronounced, while the variations in Na⁺, Mg²⁺, Ca²⁺ and other ions were relatively gradual. APCS-MLR receptor model analysis revealed that the ions such as Na⁺, Ca²⁺, Mg²⁺, SO₄²⁻, Cl⁻, HCO₃⁻ and NO₃⁻ all have a significant influence on the hydrochemical composition of groundwater due to the high absolute principal component scores of them. The hydrochemical characteristics of groundwater in the study area were controlled by multiple processes, including evaporites, silicates and carbonates weathering, evaporation-concentration, cation alternating adsorption and human activities. Among the natural driving factors, rock weathering had a greater influence on the evolution of groundwater hydrochemical characteristics. Moreover, mining activities were the most important anthropogenic factor, followed by agricultural activities and living activities. Full article

Jilin Province is an important ecological security barrier and major grain-producing region in northeast China, playing a crucial role in ensuring ecological security and promoting regional sustainable development. This study examines ecological resilience from three dimensions: resistance, adaptability, and resilience. Based on multi-source data from 2000 to 2020, an ecological resilience indicator system was constructed. Spatial autocorrelation and OPGD models were employed to analyze temporal and spatial evolution and the driving mechanisms. The results indicate that ER exhibits an overall spatial pattern of “high in the east, low in the west, and under pressure in the central region.” The eastern mountainous areas demonstrate high and stable resilience, while the central plains and western ecologically fragile regions exhibit weaker resilience. In terms of resistance, the eastern mountainous regions are primarily forested, with high and sustained ESV, while the western sandy edge regions primarily have low ESV, making ecosystems susceptible to disturbance. In terms of adaptability, the large-scale farmland landscapes in the central regions exhibit strong disturbance resistance, while water resource adaptability in the western ecologically fragile regions has locally improved. However, adaptability in the eastern mountainous regions is relatively low due to development impacts. In terms of resilience, the eastern core regions possess stable recovery capabilities, while the central and western regions generally exhibit lower resistance with fluctuating changes. Between 2000 and 2020, the ecological resilience Moran’s I index slightly decreased from 0.558 to 0.554, with the spatial aggregation pattern remaining largely stable. Among the driving factors, DEM remains the most stable. The influence of NDVI has weakened, while temperature (TEM) and NPP-VIIRS have become more significant. Overall, factor interactions have grown stronger, as reflected by the q-value rising from 0.507 to 0.5605. This study provides theoretical support and decision-making references for enhancing regional ecological resilience, optimizing ecological spatial layout, and promoting sustainable ecosystem management. Full article

Agricultural producers play a crucial role in combating agricultural non-point source pollution, so improving their production behaviors and practices will be key to alleviating such pollution. This study employs the Theory of Planned Behavior and focuses on Huaxian County, a major grain-producing county in Anyang City, Henan Province. The study focuses on randomly selected sample farming households in townships within Hua County’s agricultural intensification zone. Through structural equation modeling, it has analyzed the impact of farmers’ individual characteristics, behavioral attitudes, subjective norms, and perceived behavioral control on their willingness to engage in pollution management, as well as the influence of such willingness on actual management behaviors. Research indicates that behavioral attitudes, subjective norms, and perceived behavioral control significantly and positively influence governance intention, and governance intention significantly and positively influences governance behavior. Behavioral attitude is the key latent variable (behavioral attitude > perceived behavioral control > subjective norm). That is, the economic benefits derived from agricultural non-point source pollution governance constitute the most critical factor influencing farmers’ willingness to participate in pollution governance. Furthermore, farmers’ willingness to participate in pollution control bridges the gap between their attitudinal inclination and actual behavioral implementation. Accordingly, this study can provide a theoretical basis and reference for the governance of non-point source pollution in county-level regions of Henan Province and similar major grain-producing areas and offer theoretical support for the sustainable development of agriculture. Full article

An adequate food supply is a core issue for sustainable development worldwide. Amid greater instability in the food supply triggered by more armed conflicts, trade disputes, and climate change, a decline in grain cultivation area still plagues many regions. China, a major food producer globally, is a case in point. The truth is that at the moment, the formulation and implementation of policies as well as academic discussions regarding this issue are predominantly based on the sown area of grains, overlooking the fundamental role co-played by population, yield efficiency, and sown area in determining food supply. Furthermore, the commonly used indicator, the non-grain cultivation rate, fails to directly reflect the impact of the phenomenon on the grain supply. To address these gaps, this study introduces trend-change detection and factor-contribution analysis, uses long-term grain sown area data to identify regions with significant grain retreat, and quantifies the relative influence of population shifts, crop yield improvements, and sown area changes on food supply. Key findings include the following: China’s total grain production maintained steady growth from 2003 to 2023, far exceeding conventional food security thresholds. Temporary reductions in grain sown area (2015–2019, 2021–2022) were offset by rising yields, with no substantial decline in supply. Twelve provinces/municipalities, Beijing, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi, Guizhou, Shaanxi, Ningxia, Sichuan, Chongqing, and Hainan, exhibited substantial declines in grain plantation. However, Sichuan and Shaanxi achieved counter-trend growth in food supply, while Ningxia and Guizhou experienced frequent fluctuations. The sown area was not always the dominant factor in per capita grain availability. Yield increases neutralized cropland reduction in Sichuan, Shaanxi, Guizhou, and Ningxia, whereas population inflows outweighed the sown area effect in the other eight provinces. The study concludes that China’s grain cropland reduction has not yet posed a threat to national food security. That said, the spatial concentration of these affected regions and their ongoing output reductions may raise domestic grain redistribution costs and intensify inter-regional conflicts over cropland protection. Meanwhile, population influx plays a similarly important role to that of grain plantation decline in the grain supply. Considering that, we believe that more moderate measures should be adopted to address the shrinkage of grain planting areas, with pre-set food self-sufficiency standards. These measures include, but are not limited to, improving productivity and adopting integrated farming. Methodologically, this work lowers distortions from normal annual cropland fluctuations, enabling more precise identification of non-grain production zones. By quantifying the separate impacts of population, crop yield, and sown area changes, it supplements existing observations on grain cropland decline and provides better targeted suggestions on policy formulation and coordination. Full article

Financial support for agriculture has mainly focused on grain production, while insufficient efforts have been made to ensure water security, potentially intensifying water pressure in grain production (WPGP). This study applies the entropy weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to measure WPGP from the perspective of sustainable agricultural water use, investigating the impact of agricultural fiscal expenditure on WPGP. Our findings reveal several key points. First, there is a clear linkage between the spatial and temporal patterns of fiscal support and WPGP. Projections indicate that water pressure for grain production in China will continue to rise from 2019 to 2030, with the fastest increases in the Northeast and Huang-Huai-Hai regions, at 20.53% and 13.39%, respectively. Second, agricultural fiscal expenditure distorts the allocation of grain production factors, causing cultivation areas to expand beyond local water resource capacity and, thus, exacerbating WPGP. This effect exhibits a time lag due to the gradual nature of factor allocation. Further analysis shows that in non-major grain-producing regions, lower production efficiency and higher opportunity costs of factor use weaken the impact of fiscal expenditure on WPGP compared to major grain-producing regions. Third, in regions with advanced technical conditions for grain production, the negative impact of agricultural fiscal expenditure on WPGP is mitigated by higher irrigation technology levels, improved water allocation efficiency, and lower water demand per unit of grain. Fourth, the public good characteristics of water resources and water conservancy facilities—namely, strong externalities and non-exclusivity—along with the agronomic demonstration effect, lead to a spatial spillover effect of agricultural fiscal expenditure on WPGP. Full article

Controlling agricultural carbon emissions is crucial for addressing global environmental challenges. As a major player in agricultural trade, China needs to explore a specific pathway to reduce its agricultural carbon emissions. This study delves into the impact of China’s agricultural trade on agricultural carbon emissions: (1) The research demonstrates that agricultural trade (AT) significantly reduces China’s agricultural carbon emissions (ACEs), with robustness and endogeneity tests supporting these findings. (2) In the process of lowering agricultural carbon emissions, AT exerts both direct and indirect effects. The direct effect stems from the import substitution effect of agricultural trade, while the indirect effects include agricultural technological innovation (ATI) and the agricultural carbon emission intensity (ECI). (3) The reduction in ACEs is more pronounced in eastern regions, coastal areas, and non-major grain-producing regions. This study reveals the underlying mechanisms between AT and ACEs, suggesting that China has the potential to achieve mutual benefits in international trade and environmental protection. It also provides a trade-oriented perspective for formulating agricultural emission reduction policies. Full article

China faces the dual challenges of mitigating greenhouse gas emissions and ensuring food security. Given that crop cultivation constitutes a major source of agricultural greenhouse gas emissions, analyzing the emission reduction impact of China’s high-standard farmland construction (HSFC) policy, a crucial food security initiative, holds significant importance. This study calculates greenhouse gas emissions from crop cultivation (CGHGE) from a life cycle assessment (LCA) perspective and evaluates the agricultural new-quality productivity level across 31 regions in China from 2005 to 2022. Subsequently, this study utilizes the continuous difference-in-differences (DID) model to examine the impact of the HSFC policy on CGHGE per unit area. Furthermore, the mediating role of agricultural new-quality productivity in the relationship between HSFC policies and CGHGE per unit area was examined. The results show that HSFC can significantly mitigate the growth of CGHGE per unit area, with an average annual reduction of 62.88%. The regional heterogeneity analysis indicates that HSFC exerts statistically significant negative effects on CGHGE per unit area across both western and eastern China. Furthermore, heterogeneity tests demonstrate that HSFC’s emission reduction effects are particularly pronounced in major grain-producing regions. HSFC contributes to emission reductions by enhancing agricultural new-quality productive forces, which subsequently lead to lower CGHGE. The findings of this study suggest that governments should implement differentiated and targeted policies for HSFC, with particular emphasis on the crucial role of new-quality agricultural productivity in reducing CGHGE. Full article

This study investigates the impact of China’s construction of high-standard farmland (CHSF) initiatives on grain productivity, focusing on total factor productivity growth of grain (TFPG) from 2000 to 2021. Using a continuous Difference-in-Differences (DID) approach based on balanced panel data from 31 Chinese provinces, this paper identifies significant productivity improvements, with TFPG increasing by an average of 7% post-implementation of CHSF. However, the effects are not uniform across regions—productivity gains are more pronounced in non-major grain-producing and plain areas, emphasizing the role of region-specific infrastructure and adaptive strategies. These findings provide empirical evidence on how large-scale farmland improvement enhances productivity through mechanization and better land use. However, the reliance on provincial-level data may result in localized variations in CHSF implementation being overlooked, suggesting the need for further micro-level analysis. Overall, this study highlights the importance of tailored agricultural policies to enhance their effectiveness and promote agricultural sustainability in China and other developing economies. Full article

China’s croplands are facing serious threats from soil erosion, calling for long-term and spatially explicit assessment to safeguard food security and promote sustainable land use management. Yet limited attention has been directed to examining high-resolution spatial cropland-related soil erosion in China over an extended time span, especially across diverse agricultural regions and different crop types. Therefore, this study applied high-resolution remote sensing datasets to investigate the spatially explicit dynamics of crop-specific soil erosion in China from 1980 to 2018 at a 30 m resolution based on the RUSLE model. Our results showed slight erosion has consistently been the major erosion type over the past 40 years, which was primarily observed in northern areas as compared to high cropland soil erosion intensity found in southern regions. Severe erosion occurring in the Loess Plateau area was found to have decreased since 1980 due to the implementation of ecological conservation practices. While soil erosion acreage remained stable in most agricultural zones, a notable decrease was observed in the Yangtze River and Huang-Huai-Hai Plain Regions, and increases were found in the Northern Arid and Semi-arid Region and the Qinghai-Tibet Plateau Region. In addition, grains showed the highest erosion rates, whereas fiber crops were revealed with the lowest erosion rates. By unveiling the temporal-spatial evolution patterns of China’s crop-specific soil erosion together with a 30 m resolution dataset produced across a 40-year time span, this study is fully supportive of promoting soil and water conservation in sloping croplands and safeguarding stable food supply and sustainable agricultural practices. Full article

Policy-based agricultural insurance plays a pivotal role in promoting agricultural carbon emissions reduction and driving the development of agricultural modernization. This study, based on panel data from 31 Chinese provinces spanning 2003 to 2021, employs the double machine learning method to conduct theoretical and empirical analyses on the carbon emission reduction effects, implementation mechanisms, and regional heterogeneity in policy-oriented agricultural insurance. The empirical findings indicate that the enforcement of policy-based agricultural insurance exerts a considerable influence on curbing agricultural carbon emissions. This conclusion remains robust across a rigorous suite of robustness checks. Under the “scale–structure–technology” logical framework, the carbon emission reduction effects of policy-oriented agricultural insurance operate through three key mechanisms: the scaling-up of agricultural production, the grain-oriented transformation of planting structures, and the advancement of agricultural technologies. Heterogeneity tests reveal that policy-based agricultural insurance exerts significantly stronger carbon mitigation impacts in major grain-producing areas, the Yangtze River Economic Belt, and regions with stringent environmental regulations. Full article

Income inequality impedes rural economic development. As the digital economy advances, e-commerce (EC) offers a novel solution to reduce rural income inequality. Based on the framework of the equality of opportunity theory, this research utilizes data from China Rural Revitalization Survey, using the RIF model and mediation effect model to investigate the influence and mechanisms of e-commerce operations (EOs) on the farmers’ income gap (FIG), while also analyzing the heterogeneity of EO’s effects on the FIG. Consequently, the impact of the varying scales and modes of EOs on the FIG is further examined. The findings indicate that EO can substantially diminish the FIG, as corroborated by robustness and endogeneity tests. The findings of the intermediate effect indicate that EO diminishes the FIG by reducing the disparity in labor endowment. The heterogeneity study results indicated that EOs are more effective in reducing the FIG in western China, major grain-producing areas, and mountainous areas. Further discussion reveals a stronger reduction effect of large-scale and platform EC. This study provides micro-level evidence that the digital economy empowers farmers for sustainable development and prosperity. The government should improve rural EC support and create a mechanism for disadvantaged rural populations. To reduce EC development discrepancies and promote farmer equity, specific assistance programs for undeveloped regions are needed. Local governments can also strengthen skill training programs for farmers, especially low-income ones, to boost labor skills. Finally, they can assist rural EC’s transformation to large scale and flat, maximize its role in employment, and narrow the FIG. Full article

Agricultural green development is an essential pathway to achieving comprehensive agricultural and rural modernization and holds significant importance for ensuring national food, resource, and ecological security. Based on panel data from 30 provinces in China during 2004–2022, this study employed the super-efficiency SBM-GML model, the modified gravity model, social network analysis (SNA), and the quadratic assignment procedure (QAP) regression model to systematically analyze the spatial association network characteristics and driving mechanisms of agricultural green development in China. The results showed that (1) the number of spatial linkages in interprovincial agricultural green development had been increasing, with the network exhibiting strong connectivity, stability, and accessibility. (2) Major grain-producing areas and economically developed regions along the eastern coast had become the driving sources of spatial spillovers in agricultural green development. Meanwhile, the central and western regions acted as “brokers” in facilitating the reception and transfer of resources within the overall network, while municipalities such as Tianjin and Shanghai exhibited siphon effects on other regions. (3) Geographical proximity, government fiscal support, rural labor force size, progress in green technologies, and the agricultural economic development level significantly enhanced the spatial spillover effects of agricultural green development. However, regional disparities in agricultural industrial structures served as a key obstacle to realizing these spillover effects. Full article

An accurate assessment of food security and its challenges is essential for formulating effective measures and promoting sustainable socioeconomic development. This study develops an evaluation system for China’s food security, focusing on four dimensions: food supply, food access, food production stability, and food continuity. The entropy weight extended matter element model is used for quantitative processing, which ensures that the integrity of the information can be guaranteed to a greater extent while reducing the influence of subjective factors, and then, the study evaluates the food security of different functional areas in China, and finally, it diagnoses the main obstacles to food security by using the obstacle degree model. (1) From 2000 to 2020, China’s food security level fluctuated, initially declining, and then increasing. The food security level in major production and marketing areas is generally higher, while the primary marketing areas exhibit the lowest security levels. (2) The level of grain yields and the total power of machinery per unit area are the key factors affecting food security; the impact of inputs of agricultural materials (fertilizers and pesticides) on food security has decreased and is constantly stabilizing. In the main marketing area, the per capita food share is significantly lower than in the other functional areas, which has the greatest impact on food security. (3) Analysis of the obstacle factors reveals that the food supply and access security subsystems are crucial for ensuring national, production, and marketing security. From 2000 to 2020, the average obstacle degrees of food supply and food access security at the national level were 46.56% and 21.17%, respectively; for the production and marketing areas, they were 58.47% and 21.45%; and for primary marketing areas, they were 37.69% and 26.59%. In major grain-producing areas, the main obstacles lay within the food supply security and food production stability subsystems, with average obstacle degrees of 53.77% and 15.67%, respectively, from 2000 to 2020. The above results provide a scientific basis for comprehensively improving the level of food security in China, optimizing the structure of food production in each functional area, and formulating regionalized policies for stabilizing and maintaining food production and supply. Full article