Farmland Management Research Articles

The ecological and economic effects of large-scale farmland management: a perspective from new agricultural business entities

The ecological and economic effects of large-scale farmland management: a perspective from new agricultural business entities

Straw incorporation: A more effective coastal saline land reclamation approach to boost sunflower yield than straw mulching or burial

In coastal lands, soil salinity greatly impedes crops growth and severely affects the agricultural productivity. Returning the crop straw and residual to soil was considered an important land reclamation method; however, the approach of straw return varied, including mulching (SM), burial (SB), and incorporation (SI). This study aimed to determine which approach was most effective to ameliorate coastal saline land and boost crop yield. Field experiments were conducted under different straw amelioration treatments on dry farming sunflowers (Helianthus annuus Linn.) in Bohai coastal land of Northern China. The results indicated that SM and SB changed the soil salt profile and significantly reduced the topsoil (0–0.2 m) salt content mainly by their direct effects on soil water transport, with little impacts on soil structure changes. Differently, SI significantly increased 21.8 % soil organic carbon and 52.3 % soil mean weight diameter in straw incorporated layer. The improvement on soil aggregates and porosity reduced 24.1–38.9 % of topsoil salt content, by limiting soil salt accumulation and promoting salt leaching. Furthermore, SI significantly boosted the sunflower fine root (d< 1.0 mm) growth and resulted in the highest sunflower yield (4.7 t/ha in 2020 and 4.6 t/ha in 2021) among those straw treatments. Compared to SM and SB, the net revenues of two-years sunflower cultivation under SI were improved by 40.68 % and 31.22 %, respectively. Therefore, it concluded that straw incorporation was more effective to reclaim coastal saline soil than straw mulching or burial. In addition, a back propagation artificial neural network model was developed to predict the dynamic of sunflower yield. This outcome provides an insight into the management of coastal farmland by establishing an easily desalinized and fertile topsoil profile structure.

Long-term recovery of compacted reclaimed farmland soil in coal mining subsidence area

During the reclamation process of coal mining subsidence areas, mechanical compaction hinders the rapid recovery of reclaimed mine soil (RMS) functions to their pre-mining levels. To optimize reclaimed farmland management, which can promote the recovery of compacted soils, this study aims to explore the key factors and underlying mechanisms affecting RMS recovery from a systemic perspective using complex network theory (CNT). Soil samples from reclaimed farmland at different recovery stages (0, 2, 6, 12, 16, and 22 years) and adjacent non-subsided cultivated soils (NCS) were collected at a depth of 0 ∼ 20 cm in the eastern plains mining region of China. Twenty-four soil indicators were measured, and their evolution over RMS recovery was analyzed. CNT was employed to systematically analyze the complex network relationships among these indicators, identifying key factors and underlying mechanisms affecting RMS recovery. The results indicated that compaction led to soil macroaggregate (MA) destruction, mineralization losses of organic carbon and nitrogen, reduced microbial activity, degraded soil fertility, and increased complexity and disorder in the relationships among soil indicators. Re-cultivation had a positive effect on the recovery of RMS. After 22 years of cultivation, significant improvements in soil structure were observed, with MA increasing by 30.95 % (P < 0.05). Based on this, organic carbon gradually accumulated, with soil organic carbon (SOC) increasing by 250.94 % (P < 0.05). Microbial abundance similarly improved, with total microbial biomass (TB) increasing by 123.07 % (P < 0.05). Soil fertility was also enhanced, with alkali-hydrolyzed nitrogen (AN), available phosphorus (AP), and available potassium (AK) increasing by 125.96 %, 304.84 %, and 61.90 %, respectively. However, RMS indicators and system structure remained distinct from those of the NCS. The first approximately 12 years after re-cultivation represented a critical period during which soil structure improvements drove RMS functional recovery, with a focus on MA recovery. Increasing particulate organic carbon (POC) accumulation is an effective strategy to promote aggregation in compacted RMS. Microbially mediated carbon–nitrogen cycling emerged as a crucial driver of the gradual recovery of the RMS system after re-cultivation.

Toward Cross-Species Crop Se Content Prediction Using Random Forest Modeling

Selenium is an indispensable trace element in the human body that plays an important role in maintaining life activities. The consumption of Se-rich crops provides a practical and effective way for the body to supplement Se. However, the Se content in crops is affected by the soil Se content and the interactions between other elements in the soil. In this study, the Tibetan Plateau of China was chosen as the study area. The random forest algorithm was applied to select four key indicators—selenium (Se), bioavailable phosphorus (P), cadmium (Cd), and bioavailable copper (Cu)—from 29 soil variables to predict the Se content in rapeseed, wheat, potato, pasture, and chrysanthemum crops. The results showed that, despite the rich soil Se resources in the Tibetan Plateau, only 20% of the crop samples met the national Se enrichment standard (&gt;0.07 mg kg−1). Compared with the traditional multiple linear regression method, the random forest model is more accurate, efficient, and reliable in predicting the Se content of crops. In cross-species crop prediction, which refers to the simultaneous cultivation and analysis of multiple distinct crop species within the same agricultural setting, the random forest model demonstrated superior performance, marking a significant breakthrough in cross-species crop research. This approach effectively eliminates the tedious process of conducting repetitive individual evaluations for different crop types in the same region, highlighting its innovative significance. Meanwhile, the Tibetan Plateau, known as the “Roof of the World”, is also of great research value. These results provide valuable references for the planning and management of Se-enriched farmlands, which will help improve the yield and quality of Se-enriched crops and promote the growth of farmers’ interests.

Patch shape, connectivity and functional groups moderate the responses of bird diversity to agricultural diversification — A meta-analysis

Agricultural expansion and intensification pose significant threats to global biodiversity. However, the conservation of agricultural biodiversity is essential for harmonizing agricultural production with ecological sustainability. Agricultural diversification can mitigate the negative impacts of agriculture on ecosystem functioning and biodiversity. Characteristics of the broader landscape may also play an important moderating role in diversified agricultural landscapes, but are not fully solved. To bridge this gap, we conducted a meta-analysis of peer-reviewed studies to compare bird abundance and species richness in diversified agricultural landscapes compared to those in simplified farmlands and natural landscapes. We also explored the moderating role of species functional groups and 11 metrics of landscape composition, configuration and heterogeneity. We found a generally positive effect of perimeter-to-area ratio of farmland patches, connectivity within farmland patches, and connectivity within patches of natural and semi-natural habitats on bird abundance and species richness. Responses to other landscape metrics were less consistent. For pollinators, the abundance was higher in diversified agricultural landscapes compared to control groups, and particularly when compared to natural landscapes. For natural enemies, the species richness was significantly lower in diversified agricultural landscapes than in natural landscapes, while their abundance was not. The overall abundance and species richness of granivores and frugivores in diversified agricultural landscapes were comparable to those in control landscapes. These results indicated landscape type of control groups, species functional groups, and their interactions had consistent impacts on the responses of bird diversity. We found a vital role of farmland patch shape and connectivity within farmland and habitat patches for bird conservation in diversified agricultural landscapes, which has been rarely reported in previous studies. These insights underscore the need for policymakers and managers to develop farmland management and planning strategies at multiple scales to fulfill growing human demands while achieving biodiversity conservation objectives.

Feedbacks Regulating the Salinization of Coastal Landscapes.

The impact of saltwater intrusion on coastal forests and farmland is typically understood as sea-level-driven inundation of a static terrestrial landscape, where ecosystems neither adapt to nor influence saltwater intrusion. Yet recent observations of tree mortality and reduced crop yields have inspired new process-based research into the hydrologic, geomorphic, biotic, and anthropogenic mechanisms involved. We review several negative feedbacks that help stabilize ecosystems in the early stages of salinity stress (e.g., reduced water use and resource competition in surviving trees, soil accretion, and farmland management). However, processes that reduce salinity are often accompanied by increases in hypoxia and other changes that may amplify saltwater intrusion and vegetation shifts after a threshold is exceeded (e.g., subsidence following tree root mortality). This conceptual framework helps explain observed rates of vegetation change that are less than predicted for a static landscape while recognizing the inevitability of large-scale change.

Research on the Interaction Mechanism between Farmland Circulation and Non-Agricultural Industry from the Perspective of Equilibrium

The “three rights division” is a major innovation in China’s land system. Under the framework of “three rights division”, there are corresponding policy constraints on the circulation of management rights of different types of land. This paper constructs a dynamic equilibrium model of farmland management right transfer from the macro level, and studies the economic connection between farmland circulation and non-agricultural sectors. The results show that there is an obvious economic interaction mechanism between the circulation of agricultural land and the development of regional non-agricultural industries, and circulation is a channel to communicate the flow of factors between the agricultural sector and the non-agricultural sector, and its flow trend is significantly affected by policies. There is a certain threshold for the start of agricultural land circulation, and the critical condition is that the industrial capital stock of the non-agricultural sector reaches a certain level. Therefore, to effectively promote the circulation of agricultural land, we cannot completely rely on the market, and the government’s action is crucial. Based on the analysis, this paper puts forward corresponding policy suggestions on guiding the circulation of farmland and better playing the role of circulation in promoting industrial development.

Temporal and spatial characteristics of carbon emissions from cultivated land use and their influencing factors: A case study of the Yangtze River Delta region

This study focuses on the Yangtze River Delta region and employs spatial analysis and geographically and temporally weighted regression (GTWR) to explore the temporal and spatial characteristics of carbon emissions from cultivated land use and their influencing factors. The findings indicate that carbon emissions from cultivated land use in the Yangtze River Delta generally show a decreasing trend, but there has been a significant increase in Anhui Province, mainly due to government efforts to promote agricultural development. Additionally, the spatial distributions of carbon emissions from cultivated land use clearly differ in terms of proximity, with changing temporal and spatial patterns. (1) From 2005 to 2020, there were significant spatial differences in the carbon emission intensity from cultivated land use across the Yangtze River Delta. The emission intensities in the southern areas were generally higher than those in the northeastern and central regions, whereas the western areas presented lower emission intensities. (2) The carbon emission intensity from cultivated land use in the Yangtze River Delta exhibited significant spatial proximity, meaning that neighboring areas had similar emission intensities, presenting a continuous distribution pattern. Contiguous distributions were also observed in parts of northern Anhui, central Jiangsu, and southeastern Zhejiang. (3) The carbon emission intensity from cultivated land use in the Yangtze River Delta showed a trend of high-intensity reductions and low-intensity increases over time and space. The level of agricultural development, scale of farmland management, types of crops planted, income levels of rural residents, intensity of agricultural machinery input, and strength of agricultural financial support significantly impact carbon emissions from cultivated land use. The results provide important references and a theoretical basis for the management and regulation of agricultural carbon emissions in the Yangtze River Delta region.

Pathways towards low-carbon sustainable agriculture: how farmland size affects net carbon emissions

ABSTRACT Understanding the impact of farmland size adjustment on net crop carbon emissions (NCEs) is crucial for both effective farmland management and sustainable development, which are essential topics in agri-environmental science. However, studies exploring the relationship between farmland size and NCEs remain limited, particularly in developing countries with scarce farmland, such as China. To fill this gap, this paper discusses farmland size’s impact on NCEs using a threshold model combining endogenous switching regression (ESR) and two-stage least squares (2SLS) with survey data from 2600 Chinese farmers. The results show that increasing farmland size curbs the scale and intensity of NCEs. However, their relationship follows a triple threshold effect, where substantial NCEs mitigation occurs only when the per-household farmland size exceeds specific thresholds of 5.1, 15.2, and 46.7 ha. Expanding farmland size can also indirectly reduce NCEs by promoting green agricultural technologies (GAT) adoption. Moreover, lowering farmers’ time preferences and enhancing technical training can increase the positive effect of farmland size expansion on GAT adoption and reduce NCEs further. However, the emission reduction effects vary by GAT type. Soil testing and fertilization technology, pest control technology, and water-saving irrigation technology reduce NCEs, while the other GAT have insignificant effects. Overall, our study sheds light on the intricate relationships between farmland size, GAT adoption, and NCEs, and provides valuable insights for low-carbon, sustainable agriculture policies. We suggest that policymakers can reduce NCEs and facilitate agriculture’s low-carbon transition by promoting moderate farmland size expansion and locally adapted GAT.

Soil quality associated with microbial community characteristics and dominant taxa across different tillage practices

AbstractDespite conservation tillage being a promising strategy to mitigate soil degradation, the intricate role of microbial communities in shaping soil quality over long‐term tillage remains poorly understood. The study aimed to investigate the microbial mechanisms governing the soil quality index (SQI) and maize yield under different tillage practices spanning 13 years, including no‐till without straw retention (NT0), no‐till with straw retention (NTSR), plough tillage with straw retention (PTSR), and rotary tillage with straw retention (RTSR). The findings revealed that NTSR improved the SQI index by 22.4% and 11.3% higher than PTSR and RTSR, respectively, within the 0–10 cm soil layer. This improvement was correlated with an increase in maize yield (R2 = 0.39, p &lt; 0.05). PERMANOVA analysis confirmed that both soil depth and tillage practices significantly impacted the composition of microbial communities (p &lt; 0.05). Furthermore, conservation tillage, compared to PTSR and RTSR, increased the abundance of arbuscular mycorrhizal symbiosis by 78.6%–460.3% but decreased the saprophytic fungal abundance by 27.5%–28.3%. Soil quality was notably influenced by the interaction between bacterial and fungal communities. The presence of bacterial‐dominated Module 2 was associated with decreased soil quality in the 0–10 cm soil depth (r = −0.47, p &lt; 0.01). This study emphasizes the pivotal role of microbial diversity and dominant taxa in driving soil quality after long‐term conservation tillage practices. Understanding these mechanisms is crucial for establishing farmland management to achieve agricultural and ecological sustainability in the face of climate change and soil degradation challenges.

Comparing the Effects of Lime Soil and Yellow Soil on Cadmium Accumulation in Rice during Grain-Filling and Maturation Periods.

The karst area has become a high-risk area for Cadmium (Cd) exposure. Interestingly, the high levels of Cd in soils do not result in an excessive bioaccumulation of Cd in rice. Carbonate rock dissolution ions (CRIs) could limit the accumulation and translocation of Cd in rice. CRIs can become a major bottleneck in the remediation and management of farmlands in karst areas. However, there is limited research on the effects of CRIs in soils on Cd accumulation in rice. The karst area of lime soil (LS) and the non-karst areas of yellow soil (YS) were collected, and an external Cd was added to conduct rice cultivation experiments. Cd and CRIs (Ca2+, Mg2+, CO32-/HCO3-, and OH-) in the rice-soil system were investigated from the grain-filling to maturity periods. The results showed that CRIs of LS were significantly higher than that of YS in different treatments. CRIs of LS were 2.05 mg·kg-1 for Ca2+, 0.90 mg·kg-1 for Mg2+, and 42.29 mg·kg-1 for CO32- in LS. CRIs could influence DTPA Cd, resulting in DTPA Cd of LS being lower than that of YS. DTPA Cd of YS was one to three times larger than that of YS. Cd content in different parts of rice in YS was higher than that of LS. Cd in rice grains of YS was one to six times larger than that of LS. The uptake of Cd from the soil during Filling III was critical in determining rice Cd accumulation. CRIs in the soil could affect Cd accumulation in rice. Ca2+ and Mg2+ had significant negative effects on Cd accumulation of rice at maturity and filling, respectively. CO32-/HCO3- and OH- had significant negative effects on DTPA Cd in soil.

A CNN- and Self-Attention-Based Maize Growth Stage Recognition Method and Platform from UAV Orthophoto Images

The accurate recognition of maize growth stages is crucial for effective farmland management strategies. In order to overcome the difficulty of quickly obtaining precise information about maize growth stage in complex farmland scenarios, this study proposes a Maize Hybrid Vision Transformer (MaizeHT) that combines a convolutional algorithmic structure with self-attention for maize growth stage recognition. The MaizeHT model utilizes a ResNet34 convolutional neural network to extract image features to self-attention, which are then transformed into sequence vectors (tokens) using Patch Embedding. It simultaneously inserts category information and location information as a token. A Transformer architecture with multi-head self-attention is employed to extract token features and predict maize growth stage categories using a linear layer. In addition, the MaizeHT model is standardized and encapsulated, and a prototype platform for intelligent maize growth stage recognition is developed for deployment on a website. Finally, the performance validation test of MaizeHT was carried out. To be specific, MaizeHT has an accuracy of 97.71% when the input image resolution is 224 × 224 and 98.71% when the input image resolution is 512 × 512 on the self-built dataset, the number of parameters is 15.446 M, and the floating-point operations are 4.148 G. The proposed maize growth stage recognition method could provide computational support for maize farm intelligence.

Greenhouse gas emissions from the growing season are regulated by precipitation events in conservation tillage farmland ecosystems of Northeast China

Reducing greenhouse gas (GHG) emissions from agricultural ecosystems is vital to mitigate global warming. Conservation tillage is widely used in farmland management to improve soil quality; however, its effects on soil GHG emissions remain poorly understood, particularly in high-yield areas. Therefore, our study aimed to evaluate the effects of no-tillage (NT) combined with four straw-mulching levels (0 %, 33 %, 67 %, and 100 %) on GHG emission risk and the main influencing factors. We conducted in-situ observations of GHG emissions from soils under different management practices during the maize-growing season in Northeastern China. The results showed that NT0 (705.94 g m−2) reduced CO2 emissions by 18 % compared to ridge tillage (RT, 837.04 g m−2). Different straw mulching levels stimulated N2O emissions after rainfall, particularly under NT combined with 100 % straw mulching (2.89 kg ha−1), which was 45 % higher than that in any other treatments. The CH4 emissions flux among different treatments was nearly zero. Overall, straw mulching levels had no significant effect on the GHG emissions. During the growing season, soil NH4+-N (< 20 mg kg−1) remained low and decreased with the extension of growth stage, whereas soil NO3−-N initially increased and then decreased. More importantly, the results of structural equation modeling indicate that: a) organic material input and soil moisture are key factors affecting CO2 emissions, b) nitrogen fertilizer and soil moisture promote N2O emissions, and c) climatic factors exert an inexorable influence on the GHG emissions process. Our conclusions emphasize the necessity of incorporating precipitation-response measures into farmland management to reduce the risk of GHG emissions.

Towards Sustainable Development: The Impact of Agricultural Productive Services on China’s Low-Carbon Agricultural Transformation

In the context of carbon neutrality, the low-carbon transition in agriculture is crucial to achieving carbon mitigation through clean production. The provision of agricultural productive services (APS) is pivotal for modernizing farming practices in China. However, the impact of this on the low-carbon transformation has received limited attention. This research examined the non-linear relationship between agricultural productive services and low-carbon development, including verifying a threshold effect with APS as the threshold variable, employing panel data for 31 provinces in China from 2010 to 2021. The results of the study suggested that the effect of services associated with agricultural productivity on the transition of the agricultural sector to low-carbon practices varied across threshold ranges. Specifically, when the APS exceeded the threshold of 2.4396, a significant suppressive effect was observed on carbon emission intensity. Further analysis revealed that APS indirectly influenced the farmland scale and agricultural technological advancements, thereby promoting the low-carbon transition of China’s agriculture. Based on these results, it is recommended to intensify the development of APS in key cereal-producing regions, while emphasizing the harmonious progress of these services in conjunction with large-scale farmland management.

Has China’s Pilot Policy of Farmland Management Right Mortgage Loan Promoted County Agricultural Economic Growth?

Farmland mortgages are expected to drive county agricultural economic growth (CAEG) as a crucial component of furthering the reform of the rural land system and the reform of the rural financial system against the new backdrop of the new era. This study gathers panel data from 2045 Chinese counties from 2011 to 2020 and uses the difference-in-differences method and the synthetic control method to systematically examine the effects of China’s farmland management right mortgage loan (FMRML) pilot program on CAEG. The FMRML pilot program was implemented in 2016, and this research is presented as a quasi-natural experiment. The findings indicate that there is a “policy trap” and that CAEG has not been successfully promoted by the FMRML pilot program. The reason for this is because the pilot program has made county resource mismatch worse, making it unable to fully realize the promotional effect on CAEG, rather than significantly activating the three key drivers of agricultural economic growth: people, land, and money. The impact of the FMRML pilot policy on CAEG is not uniform, according to the results of the heterogeneity study, with a substantial “blocking” effect only in the central region and no significant influence in the western, northeastern, or eastern regions. The findings propose that in order to optimize agricultural mortgage policy and advance CAEG, China and other emerging nations can benefit greatly from the insights this study offers.

Enhancing Sustainability through Agricultural Zakāt -Based Philanthropy Movement: A Comprehensive Study on Social Welfare Capital

Zakāt on Agriculture, as one aspect of Islamic finance and philanthropy, is crucial in supporting community welfare and promoting sustainable agricultural practices. This research examines the philanthropy movement driven by agricultural zakāt at Desa Mangga in the Langkat Regency, Indonesia. It adopts a qualitative approach, employing a phenomenological study through in-depth interviews. This research involved three key groups as research subjects: 10 amil zakāt (who are responsible for zakāt administration), 15 zakāt payers, and 35 zakāt recipients. The research findings reveal that philanthropic activities involving agricultural zakāt at Desa Mangga can be categorized into consumption-oriented and production-oriented activities. In contrast to the traditional approach of distributing zakāt mainly to relieve financial burdens, Desa Mangga has adopted a more proactive strategy in managing agricultural zakāt funds. The funds are directed towards productive businesses such as palm sugar production, stalls, and farmland management. As achieving complete economic independence continues, the effective allocation of agricultural zakāt funds at Desa Mangga progressively empower recipients to become more economically self-reliant. Nevertheless, it is crucial to highlight that, in practice, the concept of empowerment within zakāt philanthropy at Desa Mangga has yet to reach its full potential. Charitable activities still dominate the distribution of zakāt funds, inadvertently fostering dependency among zakāt recipients.

Quantitative evaluation of soil water balance under a ridge-furrow rainwater harvesting system in Chinese rainfed agroecosystem.

The ridge-furrow rainwater harvesting system (RFRH) is an advanced farmland management technology that plays a vital role in making full use of rainwater resources. However, it is not clear that RFRH affects crop yield and water use efficiency (WUE) by regulating soil water storage (SWS). Therefore, the present study conducted a meta-analysis to make a large compilation of previous studies and indirectly quantify the impact of RFRH on crop yield and WUE by analysing the effect of RFRH on SWS. The results showed that RFRH improved crop yield and WUE by 26.71% and 25.86%, respectively, by increasing SWS by 3.93% compared to the traditional flat cultivation. RFRH had a significant effect on increasing crop yield and WUE and improving SWS. A low ridge-furrow ratio and ridge-furrow mulching were recommended to obtain positive effects on crop yield and WUE when potatoes are grown in areas with high precipitation (600-800 mm). Furthermore, when nitrogen fertilization is applied during the crop growth period, we also found that a medium nitrogen fertilizer rate is recommended to achieve a significant positive effect on crop yield and WUE. Importantly, a win-win analysis showed the proportions of various groups in the target zone (zone I) to determine the appropriate strategy for RFRH of crops. The present study provides a scientific reference for the future application of the RFRH. The study provides scientific recommendations on crop types, ridge-furrow configurations, plastic mulching patterns and nitrogen fertilizer rate for future RFRH applications. © 2024 Society of Chemical Industry.

Soil Organic Matter Input Promotes Coastal Topsoil Desalinization by Altering the Salt Distribution in the Soil Profile

Organic amendment is an effective method to reclaim salt-affected soil. However, in coastal land with shallow saline groundwater, it is limited known about the mechanism of organic amendment on soil desalinization. Thus, to examine the effect of topsoil organic matter content on soil water/salt transport and distribution, two-year field observations in Bohai coastal land, North China, and soil column experiments simulating salt accumulation and salt leaching were conducted, respectively. There were different organic fertilizer amendment rates in 0–20 cm topsoil, 0% (CK), 50% (OA 0.5), and 100% (OA 1.0) (w/w) for soil column experiments. Field observation showed that after organic amendment (OA), the soil’s physical structure was improved, and less of the increase in topsoil salt content was observed, with more salt accumulated in deep soil layers during the dry season. In addition, OA greatly promoted salt leaching during the rainy seasons. The results of the soil column tests further indicated that OA treatments significantly inhibited soil evaporation, with less salt accumulated in the topsoil. Although there was no difference in soil water distribution between the CK and OA 0.5 treatment, the topsoil EC for the OA 0.5 treatment was significantly lower than that for CK. During soil water infiltration, the OA 0.5 and OA 1.0 treatments significantly increased the infiltration rates, enhanced the wetting front, and promoted salt leaching to deeper soil layers, compared with CK. The improvement of soil organic amounts could make the soil more self-resistant to the coastal salinization. The findings of this study provide some insights into soil water/salt regulation in heterogeneous soil masses and on the permanent management of coastal saline farmland.

Unraveling patterns, causes, and nature-based remediation strategy for non-grain production on farmland in hilly regions

The surge in non-grain production on farmland (NGPF) poses significant threats to food security and land sustainability, particularly in hilly regions. However, there remains a lack of clarity on how to effectively balance grain and non-grain production in relation to land remediation. Using Wannian County as a case study, we investigate the evolution of this by leveraging high-precision land surveys and satellite imagery. Through the application of bootstrapped partial linear regression models, we identify key influencers behind each type of NGPF. In proposing land remediation solutions, we integrate the results of NGPF and land quality evaluations to identify mismatches between non-grain production and land attributes (i.e., topography, geology, soil, and land use). Our findings reveal a substantial growth in NGPF, expanding from 3838.72 ha to 5659.64 ha (2010–2020), and predominantly occurring on farmland with favorable natural conditions and connected locations such as proximity to roads, town centers, and industrial plants. Surprisingly, the basic farmland protection policy shows limited effectiveness in curbing NGPF, except for garden operations. We identify 1674 NGPF patches suitable for conversion to grain production and provide land remediation suggestions tailored to low-quality farmland with specific natural barriers, thus complementing the demand for regional non-grain production. This study thereby innovatively proposes nature-based land remediation strategies to address the non-grain production dilemma by tailoring NGPF and land quality, offering valuable insights for sustainable farmland management in China and beyond.

THE PROHIBITION OF ABSENTEE OWNERSHIP OF AGRICULTURAL LAND AND THE LEGAL LIABILITY OF THE NATIONAL LAND AGENCY

Absentee ownership of agricultural land is a situation where agricultural landowners are not directly involved in the agricultural activities carried out on their land. This often occurs when the landowner lives outside the farming area. The provision of absentee ownership of agricultural land can affect farmland management, and agricultural productivity. This abstract aims to evaluate the legal aspects of absentee ownership of agricultural land by considering several factors. First, we analyze the application of Government Regulation Number 41 of 1964 in Plaosan Village regarding absentee land. Several studies have shown that the absence of a landowner can hinder growth and innovation in the agricultural sector. However, the factor depends on the skill level of the farmer. Furthermore, we analyze the legal liability of the National Land Agency (BPN) in resolving absentee land ownership issues. The existence of landowners who are not involved in agricultural activities can lead to legal uncertainty, low agricultural productivity, and difficulties for interested parties in obtaining benefits from the land. In this context, the role of the National Land Agency (BPN) as a government agency responsible for land management and registration becomes very important. This research uses a normative legal research method by conducting a literature study of laws and regulations related to absentee ownership of agricultural land. The results of this research are expected to provide a basis for better policies in managing agricultural land ownership involving absentee owners, so as to increase productivity, efficiency, and welfare for all parties involved in the agricultural sector.