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Balancing soil greenhouse gas emissions (SGE) with crop production is crucial for sustainable agriculture in China. Optimizing field management practices regionally can effectively promote carbon reduction and food security, given the varying SGE responses across agroecological regions. This study employed meta-analysis and machine learning techniques to assess SGE responses to nine different farming practices in seven distinct agroecological regions. It aimed to identify optimal management strategies for balancing SGE and crop production within each region. Findings underscore substantial spatial heterogeneity in the effects of management practices on SGE, with the combined use of organic and inorganic fertilizers (MOF-MF) demonstrating the most pronounced variability (standard deviation, SD = 1.80), where MOF resulted in SGE 610% of that with MF in the Southern China (SC) region, yet only 54% in Northwestern China (NWC). Conversely, straw incorporation exhibited the most minor variability (SD = 0.27), influencing SGE by 35%–62%. Additionally, the study reveals that soil and climatic conditions significantly modulate SGE responses. In scenarios characterized by humid and warm climates with soil pH ranging from 5.5 to 8.5 or initial SOC ≤10, the environmental impact on SGE was marginal. However, in highly acidic or alkaline soils or with initial SOC >10, SGE responses varied markedly with management practices in arid and cold conditions. The study further proposes agricultural management strategies to achieve the lowest SGE while maximizing crop yield. It recommends specific methods for fertilizer applications, straw management, irrigation, and tillage practices meticulously tailored to the unique conditions of each agroecological region. This research offers essential insights for agricultural stakeholders regarding cultivation strategies and delivers theoretical guidance for enhancing agricultural management and land-use planning throughout China's heterogeneous landscapes. • A total of 2221 observed values of cropland soil greenhouse gas emissions (SGE) were utilized in this study. • It highlighted the spatial heterogeneity of SGE in response to diverse management practices. • Investigating soil pH, SOC, humidity, and temperature's impact on SGE has deepened insights into environmental mechanisms. • It proposed region-specific management strategies for seven agroecological zones designed to optimize yields while minimizing SGE. [ABSTRACT FROM AUTHOR]

In the current complex and changeable external environment, the sustainable development of rural areas is the key to global economic and social transformation. Introducing the concept of resilience will help to tap the villages' internal potential and inject new vitality into realizing high-quality rural development. This study analyzes the rural system resilience (RRS) mechanism. It then constructs a village-scale resilience evaluation framework based on three dimensions: resources, morphology, and function. The combination of empirical research and field surveys verifies the feasibility of the analytical framework. This study constructed an analytical framework, used the catastrophe progression method and geo-detector to evaluate the RRS of 386 villages in Suining County, Jiangsu Province, and put forward a regional guidance scheme for RRS promotion based on factor characteristics. There are three key results and conclusions. First, the study combined system theory and adaptive circulation theory to analyze the connotations and mechanisms of RRS. Second, the empirical case study results show that the spatial differentiation of resilience in different dimensions is quite significant. For example, the overall resilience index is higher in the southern regions than in the northern regions of Suining County, and the polarization is obvious. Third, the study combined the dominant factors and their characteristics to construct a two-level rural zoning scheme to provide rural development strategies for different villages. The results can provide a potential approach to rural transformation development for cultivating resilient rural settlements and provide policy reference for rural land management and spatial planning. [ABSTRACT FROM AUTHOR]

• This paper proposes a multi-dimensional assessment framework for cropland use stability. • Multi-dimensional cropland use characteristics present significant spatial differentiation. • Cropland stability in Northeast China Plain and Loess Plateau is the highest and lowest. • Urbanization will lead to about 9.31% of high-stability cropland losses in 2030. • Integrating landscape stability and national planning can draft a sustainable-oriented strategy. Shifting to more sustainable use can curb cropland resource degradation and improve production resilience. However, most cropland use assessments are unilaterally focused on biophysical levels and productivity, ignoring the multi-dimensional aspects of degraded cropland. This study attempts to describe cropland use stability in China by proposing a multi-dimensional assessment framework (including quantity, quality, management, service, and risk) to provide a reference for designing land degradation-neutral strategies. Results show that multi-dimensional cropland use characteristics present significant spatial heterogeneity. Western regions are reserve resource agglomerations that can replenish cropland quantity. In contrast, main grain-producing areas cover most current resources with preferably cultivation quality, management efficiency, and ecosystem services, while risk resistance is weak (especially in Middle-lower Yangtze Plain). Generally, the stability of cropland use in Northeast Plain is the highest and in Loess Plateau the lowest. Besides, urbanization will occupy about 9.31% of the high-stability cropland in 2030, of which 70.29% will occur in Northeast Plain and Huang-Huai-Hai Plain. The total potential productivity loss in Huang-Huai-Hai Plain alone will reach 100.1 kt, equivalent to supplying the food demand of 199,200 people annually. Therefore, a sustainable-oriented refined cropland management strategy should be designed according to the hierarchical nested spatial layout of comprehensive planning-stability map-multi-dimensional utilization characteristics to ensure the loss-replenishment balance and stable production. [ABSTRACT FROM AUTHOR]