An analytic database was built based on meta-regression analysis (MRA) method, mainly including ecosystem service type, farmland division, cultivated land type, value assessment method, and farmland characteristics. The feasible weighted least square (FWLS) method was adopted to comprehensively investigate the seventy observations from empirical studies. The results indicate that: (1) except the negative impact of farmland area on farmland value, such factors as paddy field, good soil conservation function, mainly providing agricultural products, and using market value method for assessment all produce positive effect on the promotion of farmland value. (2) In meta-regression analysis, the average transfer error is 36.74%, and the median transfer error is 14.59%. (3) Under the A1B, A2, B1, and B2 scenarios of IPCC SRES, it is discovered from calculation that the value changes under different scenarios have some differences, in which, the total value rises significantly under A2 scenario and will reach to 15,220 billion yuan until the year of 2100; while the total value loss is the greatest under B1 scenario and will fall to 6320 billion yuan until the year of 2100. Finally, this paper gives some suggestions for scholars to deeply study the service value of farmland ecosystem as well as for the government to formulate differentiation policies.

Small towns in mountainous regions face significant challenges in formulating effective landscape zoning strategies due to pronounced landscape fragmentation, which is driven by both the dominance of large-scale forest resources and the lack of coordination between administrative planning departments. To tackle this problem, this study focused on Yuqian, a quintessential small mountainous town in Hangzhou, Zhejiang Province. The town’s layout was divided into a grid network measuring 70 m × 70 m. A two-step cluster process was employed using ArcGIS and SPSS software to analyze five landscape variables: altitude, slope, land use, heritage density, and visual visibility. Further, eCognition software’s semi-automated segmentation technique, complemented by manual adjustments, helped delineate landscape character types and areas. The overlay analysis integrated these areas with administrative village units, identifying four landscape character types across 35 character areas, which were recategorized into four planning and management zones: urban comprehensive service areas, agricultural and cultural tourism development areas, industrial development growth areas, and mountain forest ecological conservation areas. This result optimizes the current zoning types. These zones closely match governmental sustainable development zoning requirements. Based on these findings, we propose integrated landscape management and conservation strategies, including the cautious expansion of urban areas, leveraging agricultural and cultural tourism, ensuring industrial activities do not impact the natural and village environment adversely, and prioritizing ecological conservation in sensitive areas. This approach integrates spatial and administrative dimensions to enhance landscape connectivity and resource sustainability, providing key guidance for small town development in mountainous regions with unique environmental and cultural contexts.

As agricultural heritage systems provide crucial ecosystem service functions, conducting functional zoning serves as a fundamental and essential approach to implementing the ecological civilization strategy and promoting targeted conservation and sustainable utilization. Taking the Mountain Spring Water Fish Farming System in Kaihua, Zhejiang, a site recognized as a China-Nationally Important Agricultural Heritage System, as a case study, this research integrates the equivalent factor method and the Self-Organizing Map neural network clustering method to evaluate ecosystem service values, identify ecosystem service clusters, and conduct ecological functional zoning. Protection and utilization strategies are subsequently proposed for each functional zone. The results show the following findings: (1) From 2005 to 2020, the total ecosystem service value of the system exhibited a fluctuating yet overall declining trend, decreasing by approximately 0.25%; (2) five ecosystem service clusters were identified, within which services generally showed synergistic relationships, while trade-offs were mainly concentrated between food provision and other ecosystem services; (3) based on these findings, the study area was divided into five functional zones—the Heritage Culture Core Zone, the Ecological Restoration and Conservation Priority Zone, the Industrial Integration and Development Zone, the Ecological–Industrial Transition and Optimization Zone, and the Multi-Value Protection and Exploration Zone. Specific protection and utilization strategies were proposed for each zone. This study provides a novel theoretical perspective and practical reference for rational ecological functional zoning, as well as the protection and sustainable use of agricultural heritage systems.

In the context of stock-based development, assessing the development potential of idle rural resources and formulating differentiated utilization pathways are important for improving resource-use efficiency and stimulating endogenous rural development in mountainous counties. However, existing studies mainly focus on single resource types and lack both an integrated framework for multiple idle rural resources and effective links between potential assessment and classified utilization. Taking Suichang County, Zhejiang Province, as a case study, this study constructs an evaluation index system for idle rural resource development potential. GIS-based spatial analysis and geographically weighted regression (GWR) reveal the spatial differentiation of development potential and its driving factors. On this basis, a three-dimensional framework of “potential–driving force–resistance” is used to classify resource utilization types and formulate differentiated pathways. The results show significant spatial heterogeneity in the development potential of idle rural resources in Suichang County, characterized by “central agglomeration, two-wing diffusion, and peripheral weakening” and a “three cores and two zones” pattern. The driving factors display significant spatial non-stationarity. Idle rural resources are classified into six utilization types with corresponding utilization strategies. This study provides a scientific basis and practical reference for classified revitalization, zoned policy implementation, and sustainable rural transformation in similar mountainous counties.