Farmland Area Research Articles

Spatiotemporal Variation Characteristics of Ecosystem Carbon Storage in Henan Province and Future Multi-Scenario Simulation Prediction

In response to a series of problems brought about by rapid economic development, such as global warming and the continuous deterioration of the ecological environment, China has taken the initiative to shoulder the responsibility of a major country and continued to contribute Chinese wisdom and Chinese solutions to the goal of “carbon peak and carbon neutrality” at an early date. In this paper, Henan Province has been selected as the study area, and the changes in land use and carbon storage in Henan Province from 2000 to 2020 have been analyzed spatially and temporally. The PLUS model is used to predict future land use changes under different scenarios, and the InVEST model is used to estimate carbon storage under the corresponding scenarios. The results showed that (1) During 2000–2020, the farmland in Henan Province has been in a decreasing trend, grassland and construction land showed a decreasing trend and then an increasing trend, and woodland showed a decreasing trend. From 2000 to 2020, Henan’s overall carbon storage showed a downward trend each year, with storage mainly in the western and southern regions of the province, with a spatial distribution of high storage in the west and low storage in the east. (2) Under the normal development scenario (SSP2-RCP4.5) from 2030 to 2050, the area of farmland and woodland basically showed a continuous downward trend, while construction land showed an upward trend annually, and farmland and construction land showed an increasing trend under the normal development scenario (SSP2-RCP4.5) and economic priority scenario (SSP5-RCP8.5). The decreasing trend of carbon storage was the smallest under the normal development scenario (SSP2-RCP4.5) and the ecological protection scenario (SSP1-RCP2.6). The results provide a basis for decision-making regarding low-carbon and circular developments and rational and optimal land use in Henan.

Population and conservation threats to the vulnerable Sarus crane Grus antigone in Nepal.

Globally, biodiversity is declining due to habitat loss and degradation, over-exploitation, climate change, invasive species, pollution, and infrastructure development. These threats affect the populations of large waterbird species, such as Sarus crane (Grus antigone), which inhabits agricultural-wetland ecosystems. Despite the burgeoning built-up areas and diminishing agricultural and wetland spaces, scant research investigates the impact of these changing land uses on the globally vulnerable Sarus crane in Nepal. During the pre-breeding season from April to June 2023, our comprehensive study meticulously scrutinized Sarus crane population status and factors associated with the occurrences and conservation challenges across 10 specific districts of Nepal. Our study documented a total of 690 individuals of Sarus cranes in five districts. The Lumbini Province has 685 individuals, occupying 11 roosting sites. Conversely, the remaining five districts have no Sarus cranes presence during this period. Wetland, farmland and built-up areas exhibited a significantly positive influence on Sarus crane occurrences in the Lumbini Province. Additionally, we recorded 47 fatalities of Sarus cranes over the past 13 years in the Lumbini Province due to electrocution and collisions. Our study provides a baseline dataset crucial for developing conservation policies, particularly during the dry season when Sarus crane populations tend to congregate in larger flocks. The adaptation of the Sarus crane to urbanized landscapes exposes them to several anthropogenic threats in the coming days. Therefore, protecting wetlands and farmland areas and adopting transboundary conservation approaches are imperative for the long-term conservation of the Sarus crane and its habitat.

Toxic effects of atmospheric deposition in mining areas on wheat seedlings.

Storage and transportation of coal, as well as operation of coal-fired power plants, produce amounts of metallic exhaust that may lead to different atmospheric environment in the overlapped areas of farmland and coal resource (OAFCR) environment. To investigate the effects of different atmospheric environment in the OAFCR region (north of Xuzhou) on wheat seedlings (AK-58), a box experiment was conducted and compared to an area far from the OAFCR (south of Xuzhou). The study revealed that (1) compared to the southern suburb of Xuzhou, the fresh and dry weight, activities of photosynthetic enzymes and POD of wheat seedlings in the OAFCR reduced obviously. (2) Significantly higher levels of Cr, Cd, Pb, Zn, and Cu were found in the shoots and roots of wheat seedlings in the OAFCR, with lower transfer factor for heavy metals (except Cd and As) in comparison to those in the southern suburb. And the bioconcentration factors of heavy metals (except As) in wheat seedlings in the OAFCR were significantly higher. (3) Nearly 90% of heavy metals (Pb, Cu, Cd, Zn, and Cr) absorbed by wheat were stored in cell walls and soluble fractions, with significantly higher contents of Cu and Cr in wheat seedlings' cell walls and higher contents of Pb, Zn, and Cd in soluble components found in the OAFCR. Our results showed that atmospheric deposition in the mining area has a certain toxic effect on wheat seedlings, and this study provides a theoretical basis for OAFCR crop toxicity management.

Big hands holding small hands: The role of new agricultural operating entities in farmland abandonment

It is crucial to address farmland abandonment to achieve Zero Hunger according to the United Nations’ sustainable development goals. However, quantitative research on this topic is relatively lacking. Based on a large sample of panel data from the Chinese Family Database, this study applies a panel Tobit model to examine the relationship between new agricultural operating entities (NAOEs) and farmland abandonment. The results show that NAOEs—professional operators, family farms, and agricultural cooperatives—are negatively and significantly associated with the ratio of abandoned farmland areas. This effect is achieved through channels such as promoting land leasing, providing technical guidance, and facilitating the sale of agricultural products. Additionally, NAOEs benefit more from China’s central and western regions, mountainous areas, villages with better land tenure security, and households with poorer human resource endowments. These findings provide valuable insights for policymakers to ensure food security and promote sustainable development by cultivating various large-scale farming entities.

Soil Nutrient Analysis of High Standard Farmland Construction in Fengxiang Area

In order to ensure China's grain output and food security, we should upgrade the grade of farmland, increase farmers' income, and realize the storage of grain in the land and the storage of grain in technology. While promoting the planning tasks of high-standard farmland construction projects issued by the state and Shaanxi Province, through the determination of soil nutrient indicators in the proposed high-standard farmland area in Fengxiang District, it is pointed out that the average content of soil organic matter in the study area was 12.18 g/kg, which was relatively insufficient as a whole; the average content of soil available nitrogen was 149.45 mg/kg, which was relatively abundant as a whole; the average content of soil available phosphorus was 8.94 mg/kg, which was also relatively insufficient as a whole; and the average content of soil available potassium was 124.82 mg/kg. The whole is moderate. To sum up, after appropriately increasing the content of organic matter and phosphorus, the newly built high-standard farmland can meet the demand for soil nutrients for food crop growth and meet the requirements of high-standard farmland construction in Northwest China.

The Land for Peace Message Between Israel and Jordan: The Case of Baqura and Ghamr

Israel has reached historic agreements in its sought-after objective of recognition—each unique. There is a similarity between agreements between Israel and neighboring states. These agreements were with Egypt (1979) and Jordan (1994) . In both these, land for peace was an element. That is a legalistic interpretation of United Nations Security Council Resolution 242 adopted on November 22, 1967, in the aftermath of the Arab–Israeli War of 1967. There are two arguments on the land for peace concept. One is that there were more historical and significant reasons for peace than land. The other is that every millimeter of land is significant and not overlooked. Looking at both, this article examines the agreement with Jordan, focusing on two small farmland areas in the border areas referred to as Baqura and Ghamr in Arabic and Naharayim and Tzofar in Hebrew. The agreement was a land lease for 25 years (1994–2019). It could have been extended after that, yet Jordan called for its return, which Israel accepted. This is examined under four headings: Where did the land come from? The Israel–Jordan peace treaty; legal viewpoint; and private ownership versus state sovereignty. The take-out from such a message of land for peace examination is to bear the findings in mind for future agreements with Israel on how much land for peace, where, how, and why. The bottom line is that strong leadership and issues other than land may be more important in achieving a peace treaty, yet land for peace is a strong message.

Effects of Film-Mulched Rock Outcrops on Rainwater Redistribution and Maize Growth in the Cropland of a Rocky Karst Area

Film-mulched rock outcrops are a proven way to effectively prevent preferential flow at the rock–soil interface in rocky karst areas, but the impact on rainwater redistribution and maize growth in farmland areas has never been studied. This paper used the dye tracer method at a sprinkling intensity of 1 mm min−1 to study the rainwater redistribution in soils for three different treatments: away from rock (AR), close to rock (CR), and close to film-mulched rock (CFMR). The growth situation of maize (Zea mays L.) according to the different treatments was also studied. It was shown in the study that the rainwater gathered by rock outcrops was mainly confined only within a narrow flow path at the rock–soil interface in the CR treatment, with a preferential flow fraction of 35.78~55.54% and dyeing depth of 15.37~20.00 cm across the three dye application amounts (850 mL, 1700 mL, and 3400 mL) in contrast to the uniform distribution of the rainwater in the soil of the AR treatment, with a preferential flow fraction of 12.31~37.15% and dyeing depth of 6.93~14.00 cm. Interestingly, in the CFMR treatment, there was no preferential flow at the rock–soil interface benefiting from the film’s blocking action, and the redistribution of rainwater was mainly based on the matrix flow, with a preferential flow fraction of 24.93~39.62% and dyeing depth of 10.27~18.00 cm, indicating that the film-mulched rock outcrops improved the rock’s output capability for gathering rainwater into the surrounding soil. In addition, film-mulched rock outcrops can promote the growth of maize, as indicated by the results for plant height, stem diameter, maximum leaf area, SPAD value, and floral development of maize, which increased in order from AR, CR, to CFMR. Our study suggests that film-mulched rock outcrops have important implications for the efficient use of rainwater and the growth of crops in rocky karst areas, as well as in regions with similar geological characteristics.

Determinants and constraints of carrot (Daucus carota L.) production and marketing in Cameroon.

The market gardening sector in Cameroonian agriculture is facing a challenge in producing vegetables to meet consumer needs. Among these vegetables, carrot is known to play an important role in the livelihood of millions of people around the world. It is therefore important to understand its technical itinerary in the different agricultural basins in order to provide further information on carrot production. This study aimed to identify the different production constraints faced by carrot growers by providing information on applied growing systems. Two surveys were conducted using a questionnaire simultaneously with carrot traders and producers. A total of 218 carrot traders and 62 producers were interviewed. Nine basins were identified as main carrot production zones in Cameroon. In the production basins, five main varieties namely New Kuroda, Pamela+, Madona, Amazonia and Vanessa F1 were identified. The agricultural yield of carrots is related to the growing area, fertilization method, size of the field and ploughing. Farmers use an integrated fertilization approach based on chemical fertilizer (N-P-K: 20-10-10) and chicken manure at various doses, from 250 to 500 Kg.ha-1 and 2.5 to 9 t.ha-1 respectively. Factors such as farmland area, number of cultivated plots, experience in cultivation, family size and amounts of organic and chemical fertilizers used have been found to have significant impact on carrot production. However, among the many technical problems faced by producers and which result in low carrots yields, is the lack of knowledge of soil properties. This in turn contributes to inappropriate fertilization and poor choice of the appropriate variety to be cultivated. Low germination, the lack of efficient irrigation systems and the high costs of agricultural inputs are the main constraints that affect carrot production. Although valued by market gardeners, the benefit in a production season is not always enough to encourage more farmers to grow carrots. Thus, there is a need to develop a follow-up policy for the quality and high yield production of the carrot sector.

Nurturing Resilient Communities: Unveiling the Transformative Potential of Agroecological Preservation in Sustainable Farming

This study delves into the exploration of agroecological preservation patterns in the Municipality of Lambunao. The main objective is to understand the current practices and their implications on the local environment. To achieve this, a descriptive research method was employed, utilizing a standardized data-gathering instrument to collect information from 500 local community farmers, selected through randomstratified sampling across various barangays. The research method involved the use of descriptive statistics, including frequency count and ranking, for data analysis. Additionally, inferential research was conducted using the Mann-Whitney U test and Kruskall Wallis test, with a significance level set at 0.05. The results of the study revealed that the Agroecological System in Lambunao is primarily characterized by plain topography, clay soil type, and rice as the main crop. The farmers predominantly practice organic farming as a tradition. Preservation practices were found to be frequently practiced by the entire group and seldom practiced when considering selected variables. However, when focusing on the tradition of organic farming, it was found that farmers always practiced preservation. The study concluded that there were no significant differences in preservation practices in terms of age, sex, selected educational attainment, and number of years in farming. However, significant differences were found in farm land area and selected categories of educational attainment. In conclusion, the study underscores the importance of organic farming and the need to promote preservation practices among local community farmers, offering valuable insights into the agroecological preservation patterns in the Municipality of Lambunao.

Development and Balance Evaluation for Land Use and Transport Interaction Using Node‐Place Model and Data Envelopment Analysis

To meet the evolving demands of land use and transport interaction (LUTI) assessment within China’s national territory spatial planning (NTSP) system, this paper introduces the level of development (LoD) and the level of matching (LoM) evaluation models, based on the traffic facility and land use factors. The LoD model, founded on the modified node‐place model, provides a comprehensive assessment of the traffic facility and land use development scales. Conversely, the LoM model, grounded in data envelopment analysis methods, evaluates the relative relationship between transport services and the travel demand generated by land use. The integrated use of LoD and LoM can both reflect the development scale and matching status between traffic services and travel activities, which are crucial contents in the planning works, especially within the NTSP framework. The proposed models are tested in the city of Guangzhou, and the LoD values exhibit peaks in central urban zones, suburban towns, and areas adjacent to railway transit, with a decline observed in rural farmland and ecological regions. In contrast, the LoM distribution performs a distinct pattern, highlighting numerous underperforming areas with congestion or idle problems in urban centers, alongside well‐coordinated regions showcasing a balance between traffic facilities and land uses in rural regions. Furthermore, the LoM scores revealed frequent instances of facility crowding in urban regions and intensive occurrences of facility idleness in rural areas. By marking regions with low LoD scores, the LoD model finds suitable application in determining the urban development border, essential for restricting land development and preserving farmland and ecological areas. Meanwhile, LoM aids in improving urban renewal efforts by assessing and optimizing the balance between intensive land uses and limited traffic facilities. Validated against the existing metrics, the combined use of LoD and LoM efficiently captures the most details of the LUTI process at the lowest computational cost.

Reducing Water, Nutrient, Pesticide, and Carbon Footprints and Costs for Drip-Irrigated Vine Crops with Compact Bed Plasticulture

Highlights Narrower and taller compact beds (CB) were designed to increase the system efficiency of drip-irrigated plasticulture. CB lowered water, fertilizer, plastic, pesticide, and fuel inputs while maintaining watermelon yield. CB reduced GHG emissions and input costs while increasing input productivity. CB are a synergistic and win-win climate-smart design to increase the sustainability of high-intensity plasticulture. Abstract. Raised bed plasticulture, used globally for producing high-value fruits and vegetables, is a high input and high intensity production system. We show that improved water and nutrient efficiency with reduced material inputs, costs, and carbon footprint is achieved with the use of taller and narrower plastic-mulched compact beds [61×30 (width × height in cm), 61×10, 46×30, and 41×30] compared to the wider and shorter conventional bed [76×20] used for growing watermelon. The primary motivation behind the compact bed design is to improve economic and environmental sustainability by reducing the bed width, to increase the fraction of the bed that is wetted by drip irrigation and to reduce the area of farmland covered under plastic. Compact beds were evaluated at two locations in South Florida with different hydrologic settings, using an ensemble of field data (inputs, plant health, yield, soil moisture, and nutrient levels) and a field-verified hydrologic model (HYDRUS). No reduction in yields was observed with compact beds, indicating no production risk for the growers. Compact beds conserve water and reduce deep percolation losses by 6 cm compared to conventional beds, thereby improving water productivity by 20%. Compact beds require less fertilizer (10%-50%) to maintain the same nutrient (N-P-K) concentrations as those in conventional beds because of smaller soil volumes. Reductions in water and fertilizer inputs provide the environmental benefit of reducing nutrient leaching to groundwater, while reduced impervious area reduces runoff losses. Compact beds reduced input (fertilizer, plastic mulch, pesticide, and diesel) costs of the system by US$720/ha and greenhouse gas emissions by 1630 kg CO2e/ha (9%) compared to conventional plasticulture. The annual cost savings create a win-win for farmers to increase profits and/or invest in conservation measures such as precision irrigation. Compact beds offer a climate change mitigation and adaptation strategy for the plasticulture system for watermelon and other similar cucurbit crops (e.g., cucumber, pumpkin, and zucchini). Keywords: Climate-Smart Agriculture, Economics, Greenhouse Gas Emissions, Nutrient Leaching, Sustainable Design, Water Conservation.

Understanding the impact of cultivated land-use changes on China's grain production potential and policy implications: A perspective of non-agriculturalization, non-grainization, and marginalization

Cultivated land plays a pivotal role in ensuring national food security. The challenges of non-agriculture, non-grain production and the marginalization of cultivated land have become increasingly pronounced in the context of urbanization and industrialization in China, posing potential threats to long-term food security. This study employs a combination of remote sensing and statistical data to reveal the effects of non-agriculturalization, non-grainization, and the marginalization of cultivated land on grain production potential (GPP) at the grid scale. From 1992 to 2020, the total farmland area initially exhibited an ascending trend followed by a subsequent decline, resulting in a net decrease of approximately 0.84% in China. the northward shift in the center of gravity of cultivated land has accentuated the spatial disparity between grain production and consumption. Non-agriculturalization, non-grainization, and marginalization of cultivated land contributed 35.22%, 22.58%, and 42.20% to the GPP loss, respectively. GPP loss exhibited significant differences across the agroclimatic zones, with the combined loss in the Middle-lower Yangtze Plain and Huang-Huai-Hai Plain exceeding 60% of the national total. Cultivated land marginalization has emerged as the most impactful land-use change affecting GPP, leading to a substantial loss of approximately 11471.30 × 104 t. The affected area is predominantly concentrated in the southern region. The marginalization of cultivated land has not been effectively alleviated, and the expansion trend continues. Conservation endeavors targeting cultivated land should prioritize enhancing farmers' willingness to cultivate, curbing the extensive utilization of farmland, and mitigating the escalating trend of farmland marginalization.

Analysis of the Source Apportionment and Pathways of Heavy Metals in Soil in a Coal Mining Area Based on Machine Learning and an APCS-MLR Model

Long-term coal mining activities have led to severe heavy metal pollution in the soil environment of coal mining areas, posing significant threats to both ecological environments and human health. In this study, surface soil samples were collected from the overlying soil of coal gangue and the surrounding areas of the Panyi coal mine in Huainan. The concentrations of Cd, Zn, Cu, Ni, and Pb elements were determined. A self-organizing map (SOM) and an absolute principal component score multiple linear regression (APCS-MLR) receptor model were employed for the quantitative analysis of the soil’s heavy metal pollution sources and contributions. Additionally, this study focused on the analysis of the pathways of the relatively serious pollution of Cd. The results revealed that the average concentrations of heavy metals (Cd, Pb, Zn, Cu, Cr, and Ni) in the study area were 4.55, 0.59, 1.54, 0.69, 0.59, and 0.71 times the local soil background values, respectively. The concentrations of Cd and Zn exceeded the risk screening values at some sampling points, with exceedance rates of 44% and 8%, respectively, indicating a relatively serious Cd contamination. The sources of heavy metals in the soil in the study area were classified into four categories: mining activities, agricultural activities, weathering of natural matrices, and other unknown sources, with average contributions of 55.48 percent, 24.44 percent, 8.91 percent and 11.86 percent, respectively. Based on the spatial distribution of Cd, it was inferred that atmospheric deposition is one of the important pollution pathways of Cd in the study area. Cd profile distribution patterns and a surface water pollution survey showed that the farmland areas were affected by the irrigation water pathway to some extent. The vertical distribution of heavy metal content in the forest area showed a strong disorder, which was related to the absorption function of plant roots. The results of this study can help to improve the environmental management of heavy metal pollution so as to protect the ecological environment and human health.

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

Climate change and land use/cover change (LUCC) are two major factors that alter hydrological processes. The upper reaches of the Tarim River, situated in the northwest region of China, experience a dry and less rainy climate and are significantly influenced by human activities. This study comprehensively assessed the impacts of individual and combined climate changes and LUCCs on streamflow. Three general circulation models (GCMs) were utilized to predict future climate changes under three shared socioeconomic pathways (SSP119, SSP245, and SSP585). Cellular Automata–Markov (CA–Markov) was employed to predict future LUCC under three scenarios (i.e., ecological protection, historical trend, and farmland development). Streamflow for the period 2021–2050 was simulated using the calibrated MIKE SHE model with multiple scenarios. The results showed that from 2021 to 2050, increments in both average annual precipitation and average annual temperature under the three SSPs were predicted to lead to an increased streamflow. In comparison to the conditions observed in 2000, under three LUCC scenarios for 2030, the grassland area decreased by 1.04% to 1.21%, while the farmland area increased by 1.97% to 2.26%, resulting in reduced streamflow. The related changes analysis indicated that the variation in streamflow during winter is most significant, followed by spring. The study predicted that climate change would increase streamflow, while LUCC would decrease it. Due to the greater impact of LUCC, considering the combined effect of both factors, runoff would decrease. The contribution analysis indicated that climate change contributed between −7.16% and −18.66%, while LUCC contributed between 107.16% and 118.66%.

Predicting land use change around railway stations: An enhanced CA-Markov model

Predicting land use change around railway stations is crucial for facilitating the coordinated development of transport and land use. Previous studies have seldom focused on simulating and predicting small-scale land use changes at a railway station. Therefore, this study employs an enhanced Cellular Automata-Markov (CA-Markov) model, aiming to achieve simulations and predictions with heightened precision. Firstly, two additional driving factors, namely accessibility to railway stations and the kernel density of points of interest (POIs), are incorporated into the CA-Markov model. Secondly, the validation of the enhanced model is achieved through simulating land use changes around Dujiangyan Station. Finally, this model is applied to predict land use around Mianzhu South Station in 2026, and optimization strategies for railway station areas are proposed. The results indicate an 83.43-hectare reduction in farmland area, accompanied by a moderate increase in 35.8 hectares of forest land and 41.52 hectares of residential land. This enhanced model provides valuable technical support for strategic planning in railway station areas.

Impacts of land use/cover and slope on the spatial distribution and ecological risk of trace metals in soils affected by smelting emissions.

The soil contamination around smelting sites shows high spatial heterogeneity. This study investigated the impacts of distance, land use/cover types, land slopes, wind direction, and soil properties on the distribution and ecological risk of trace metals in the soil around a copper smelter. The results demonstrated that the average concentrations of As, Cd, Cu, Pb, and Zn were 248.0, 16.8, 502.4, 885.6, and 250.2 g mg kg-1, respectively, higher than their background values. The hotspots of trace metals were primarily distributed in the soil of smelting production areas, runoff pollution areas, and areas in the dominant wind direction. The concentrations of trace metals decreased with the distance to the smelting production area. An exponential decay regression revealed that, depending on the metal species, the influence distances of smelting emissions on trace metals in soil ranged from 450 to 1000 m. Land use/cover types and land slopes significantly affected trace element concentrations in the soil around the smelter. High concentrations of trace metals were observed in farmland, grassland, and flatland areas. The average concentrations of trace metals in the soil decreased in the order of flat land > gentle slope > steep slope. Soil pH values were significantly positively correlated with Cd, Cu, Pb, Zn, and As, and SOM was significantly positively correlated with Cd, Pb, and Zn in the soil. Trace metals in the soil of the study area posed a significant ecological risk. The primary factors influencing the distribution of ecological risk, as determined by the Ctree analysis, were land slope, soil pH, and distance to the source. These results can support the rapid identification of high-risk sites and facilitate risk prevention and control around smelting sites.

SOCIOECONOMIC REASONS FOR DISCONTINUING ORGANIC FARMING: A POLISH CASE STUDY

Aim: This paper attempts to close the research gap on the reasons for discontinuing organic farming in Poland. The goal is to explore the aspects that make Polish farmers cease organic farming and the barriers and factors which condition their re-embarking on the organic path. Methodology: This paper relies on data from a survey of 134 Polish farmers who moved away from organic farming. This study was carried out with former farmers who ceased organic farming between 2014 and 2018. It comprised two stages: the first was an interview with a non-random group of 18 farmers who discontinued organic farming. The second stage used a diagnostic survey with an original questionnaire administered to farmers who shifted away from organic production. The survey was conducted in 2021. Initially, 534 questionnaires were sent by mail. As the return rate was low, the procedure was repeated twice. As a result, 134 questionnaires were received back out of 1,569. Results: The study found the following to be the key reasons for discontinuation: end of the five-year period of financial support, high production costs, insufficient levels of support, low yields, and un-profitable production. The “committed pragmatic farmers” was the most prevalent of the three types covered by the study. The drivers of their decision to go organic included both economic (financial support and incomes) and environmental aspects. However, the key reasons for ceasing organic farming were of a financial (end of the five-year support period) and institutional (burdensome bureaucracy and inspections) nature. Conclusions: Although certain countries witness considerable discontinuation rates, there is a relative scarcity of papers dealing with this issue. Poland is an example of a country which has seen an acceleration in the shift away from organic farming over the recent years, resulting in a drop in the area of organic farmland (by 185,000 ha from 2014 to 2018).

Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area

Abstract This research investigates the dynamic interplay between land use changes and landscape ecological risks in China’s Jiangsu Province, specifically focusing on the Huai River-Gaoyou Lake region. Leveraging multi-temporal remote sensing data from 2000 to 2020, we conducted a comprehensive analysis of shifting land cover patterns and their implications. Employing geostatistical techniques, we developed a landscape ecological risk assessment model to quantify ecological vulnerabilities. Additionally, we conducted a resident satisfaction survey aligned with the “Production–Living–Ecological” framework to gain insights into societal perceptions of land use dynamics. Our findings reveal significant land use shifts driven by urbanization, industrialization, and agricultural modernization. While farmland areas have decreased, water bodies and artificial surfaces have expanded, reflecting societal demands and economic growth. The landscape ecological risk assessment model highlights localized vulnerabilities, emphasizing the intricate relationship between land use changes and ecological risks. The resident satisfaction survey indicates overall contentment with various aspects of land use, especially in terms of residential comfort and transportation convenience. However, ecological concerns underscore the need for a balanced approach to land management that prioritizes ecological sustainability alongside economic development.

Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks

Unmanned aerial vehicles (UAVs) have found expanding utilization in smart agriculture. Path loss (PL) is of significant importance in the link budget of UAV-aided air-to-ground (A2G) communications. This paper proposes a machine-learning-based PL model for A2G communication in agricultural scenarios. On this basis, a double-weight neurons-based artificial neural network (DWN-ANN) is proposed, which can strike a fine equilibrium between the amount of measurement data and the accuracy of predictions by using ray tracing (RT) simulation data for pre-training and measurement data for optimization training. Moreover, an RT pre-correction module is introduced into the DWN-ANN to optimize the impact of varying farmland materials on the accuracy of RT simulation, thereby improving the accuracy of RT simulation data. Finally, channel measurement campaigns are carried out over a farmland area at 3.6 GHz, and the measurement data are used for the training and validation of the proposed DWN-ANN. The prediction results of the proposed PL model demonstrate a fine concordance with the measurement data and are better than the traditional empirical models.

The rebound effect of energy consumption and its determinants in China's agricultural production

With the facilitation of agricultural modernization, China's agricultural energy consumption continues to rise. This paper empirically tests the agricultural energy rebound effect and its influencing factors in China during 1999–2020. It is believed that the improvement of energy efficiency has not led to the expected energy-saving effect in agriculture due to the "Jevons paradox" of energy efficiency and energy consumption. The average energy efficiency of China's agricultural energy consumption was 0.446, and the average energy rebound effect was 68.9 %. The level of agricultural mechanization, the effective irrigated area of farmland and agricultural investment have a positive impact on the rebound effect of agricultural energy, and the direct effects are 0.062, 0.008 and 0.064, respectively, while agricultural labor force and energy price have a negative impact on the rebound effect of agricultural energy. In particular, technology spillover and scale spillover led by agricultural technology progress have strong negative space spillover effect. As it is argued, 1 % of agricultural technology progress can reduce 3.5 % of agricultural energy rebound effect in surrounding areas. In order to reduce the energy rebound effect, it is suggested to increase the subsidies to agricultural labors and rationally formulate regional differentiated energy regulation policies.