Cultivated Land Area Research Articles

Wetland restoration, household income, and livelihood structure of farmers

BackgroundWetland restoration is an important measure for restoring wetland ecosystems and their ecological benefits, with the goal of restoring their ecological functions and resources. However, wetland restoration affects farmers' incomes and livelihoods. Although existing research has contributed to a deeper understanding of the relationship between wetland restoration and farmers' household incomes, some issues require further consideration. Therefore, here, we aimed to analyse the impact of wetland restoration on farmers' incomes and provide empirical evidence for the coordination mechanism of protection and development in the Poyang Lake Wetland in Jiangxi Province.MethodsBased on 2 years of balanced panel data of 365 households around the Poyang Lake wetland, this study analysed the influence of policies related to wetland restoration and how variables such as the cultivated land area, labour force transfer, and location of nature reserves impact farmers' income. To this end, we used a two-way fixed-effect model to test the robustness by using propensity score matching, and the influence mechanisms of wetland protection policies, such as wetland restoration, wetland ecological compensation, and the Yangtze River fishing ban, on farmers' income interactions were explored.Results and discussionThe results showed that, due to the policy of wetland restoration was implemented a long time ago, the negative impact of the policy on reducing farmers' household income is not significant now. Further, farmers' family livelihood strategies have changed, and choosing other types of agricultural production and off farm employment are currently the main choices for farmers. Wetland restoration has changed their income structures. Additionally, the two wetland restoration policies and banning of fishing have had synergistic effects. The findings of this study are helpful in understanding how wetland restoration around nature reserves influences farmers' household incomes. Further, they can provide policy insights for promoting an increase in income and the optimization of the income structure of communities around lake wetland nature reserves.

Spatio-temporal evolution and prediction of carbon storage at the source of the Fen River and Sanggan River based on a PLUS-InVEST model

Investigating the evolution of land use and its impact on carbon storage is of significant importance for mitigating regional climate change and promoting green low-carbon development. Ningwu County is located in the source region of the Fenhe and Sanggan River, and its ecological status significantly influences the carbon storage (CS) of the watershed ecosystem. In this study, the PLUS-InVEST model was employed to analyze the land use evolution from 1990 to 2020 in Ningwu County, Shanxi Province, as well as their impacts on CS. Additionally, the study simulated and predicted land use changes in Ningwu County by 2040 under four scenarios: natural development (NDS), ecological protection (EPS), cultivated land protection (CLPS), and urban development (UDS), while estimating the corresponding changes in ecosystem CS. Furthermore, the study utilized optimal parameters-based geographical detector to explore the mechanisms underlying the spatial differentiation of CS. The results indicated that the areas of forest land and construction land in the study area consistently increased from 1990 to 2020, whereas the area of cultivated land continuously declined, with grassland, water bodies, and unused land exhibiting a fluctuating increasing trend. The spatial distribution of CS was highest in the northwest, second highest in the southeast, and lowest in the middle region. Over these 3 decades, CS had shown a continuous increase. It is projected that by 2040, the areas of forest and grassland will experience the most significant increase under the EPS; cultivated land only increase under the CLPS; while construction land display the greatest increase under the UDS. Compared to 2020, these four scenarios for 2040 indicate an increase in regional CS, with the EPS showing the largest increment. The primary factors influencing the spatial differentiation of CS in Ningwu County are human activities, followed by topography and climate change; the interactions among these factors exhibit a reinforcing relationship, with the interaction between the distance from construction land and slope having the most substantial impact on the spatial differentiation of CS.

Spatial-temporal variations of cultivated land compensation and its compensation mechanism in mainland China

Cultivated land compensation can alleviate the conflict between cultivated land protection and socio-economic development. Exploring the spatial-temporal trends of cultivated land compensation, and formulating a scientific and reasonable compensation mechanism are important to achieve sustainable development. To analyze the spatial-temporal changes of the area, comprehensive non-market value, and compensation amount of cultivated land in mainland China, this paper constructed a comprehensive non-market value evaluation framework including positive ecological, negative ecological, and social values, and designed a feasible cultivated land compensation model. In terms of cultivated land area, the cultivated land area indicated an overall surplus condition, and the total net surplus area during 2000–2021 was 54.4 million hectares per year. On a spatial scale, the net surplus districts were concentrated in the north and the center of China, while the net deficit districts were in the developed areas along the southeast coast. In terms of comprehensive non-market value, except for negative ecological value, all other non-market values had increased. On a spatial scale, the coupling relationship between comprehensive non-market value and regional economic development was obvious, presenting a higher value observed in the southeastern coastal developed provinces, and a lower one in the developing inland provinces. In terms of compensation amount, the total payment amount of the payment districts was difficult to cover the total compensation amount of the compensated districts, a certain compensation gap between the two appeared, averaging 6.03 trillion RMB during 2000–2021. On a spatial scale, the payment districts were mainly distributed in the southeastern coastal area, and the number of the payment districts was smaller than that of the compensated area. It is suggested that we should clarify the subject of cultivated land compensation and identify its rights and responsibilities, highlight the leading role of the central government and give full play to the main role of all levels of government, adopt diversified market financing instruments according to local conditions, and formulate relevant supporting security systems.

МАТЕРИАЛЬНО-ТЕХНИЧЕСКОЕ ОБЕСПЕЧЕНИЕ СЕЛЬСКОГО ХОЗЯЙСТВА: СОСТОЯНИЕ, ПРОБЛЕМЫ, НАПРАВЛЕНИЯ СОВЕРШЕНСТВОВАНИЯ

One of the determining conditions for competitive domestic agricultural production in foreign markets is the technical and technological modernization of the industry. However, despite the significance of the problem, over the past two decades, a stable trend of reduction in the number of employees in agricultural organizations in Russia has developed for all types of agricultural machinery. The highest rates of reduction in agricultural machinery were observed until 2010, and in subsequent periods the downward trend has significantly decreased. At the same time, it is not entirely correct to assess the current situation unambiguously, since the reduction in the fleet of machinery and equipment in agricultural organizations is due to certain objective circumstances and conditions: the area of cultivated land and cultivation of specific crops has decreased; the number of animals has decreased; the technical means used have become more energy-intensive and productive, which is especially important in the context of a shortage of personnel in rural areas. In 2018-2022 the production of domestic agricultural machinery in value terms increased by almost 2.5 times, while in physical terms the changes are insignificant. At the same time, domestic mechanical engineering practically does not produce machinery and equipment for pig farming, poultry farming, milk processing, potato harvesters, beet harvesting equipment, equipment for gardening, vegetable growing. As a result of the outstripping rate of disposal of agricultural machinery and equipment over the rate of their production and replenishment, the energy capacity of the industry is declining. The sanctions imposed on the Russian economy have led to increased risks of non-receipt of critical components and spare parts; disruption of stable logistics and distribution chains that have functioned for a long time, their rise in price; revision of contract terms, failure to meet delivery deadlines. Sanctions against the use of foreign high technologies used in precision farming, genetics, selection, enterprise management, etc. have a negative impact on the development of the agro-industrial complex.

Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China

A healthy rural ecosystem ensures a win–win situation for both economic growth and ecological conservation. However, the impact of land use changes at the rural level on ecosystem health remains unclear. This study focuses on the rural scale of Zheng–Bian–Luo, analyzing changes in land use from 2000 to 2020. Using the “Ecosystem Vigor-Organization-Resilience-Services” model, the study evaluates the spatiotemporal patterns of ecosystem health. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use and ecosystem health in 2035 under three scenarios: Natural Development (ND), Ecological Protection (EP), and Cropland Protection (CP). The findings are as follows: (1) From 2000 to 2020, the area of cultivated land in Zheng–Bian–Luo rural areas decreased, and the area of forest land first decreased and then increased. (2) During the study period, ecosystem health improved as ecosystem vigor, organization, and services increased. Low-value areas of ecosystem health showed a shrinking trend, most notably in Kaifeng. (3) By 2035, under the EP scenario, forest land increased by 76.794 km2, while it decreased under the CP and ND scenarios. Construction land showed an increasing trend in all three scenarios, with the ND scenario seeing the largest increase of 718.007 km2. (4) In 2035, ecosystem health is projected to decline under the ND scenario due to reduced forest land and increased construction land. The CP scenario showed no significant change in ecosystem health, but the southwestern rural areas of Luoyang improved. The EP scenario saw an overall increase in ecosystem health, highlighting land use optimization as beneficial. Local governments are encouraged to create ecological protection plans balancing ecological and cultivated land protection, focusing on sensitive areas such as the Songshan region and southwestern mountainous areas of Luoyang for coordinated development.

Improving Water Productivity in Irrigated Agriculture: A Review of Techniques and Water Conservation Methods in Ethiopia

Water is a scarce resource and the competition for it is increasing from time to time due to population growth and economic status change. The population growth leads to high expectations to produce more food from irrigated agriculture which could not be satisfied by rain-fed conditions. As irrigated agriculture is by far the largest water consumer in an inefficient way, improving water productivity has paramount importance both for the production of more food and for wise utilization of scarce water. Beyond these, studies suggest that improving water productivity in Ethiopia contributes to an increase in the irrigated area, reduced competition, and conflict between users, increased profitability due to reduced labor cost, water pumping and working time, and generally increased food production. Different water productivity improvement techniques and water conservation methods have been tested in different parts of the country. These include improving the performance of irrigation schemes, regulated deficit irrigation practice, partial root zone drying, application of irrigation on selected crop growth stages, supplementary irrigation, drip irrigation, surge and cutback irrigation, and water conservation methods like mulching and integrating irrigation with conservation agriculture. The level of water productivity improvement varies considerably for different methods, study areas, crop types, and seasons. Generally, more studies concentrated on deficit irrigation and irrigation application at different crop growth stages. Water conservation and integration of cultivation practices with efficient irrigation led to an improvement in water productivity. Despite few studies, scheme-level study results suggest that the level of deficit irrigation should be selected based on the available irrigation water and cultivable land area for maximizing the benefit of the scheme. According to the economic profitability, crop types and crop varieties also should be selected for production with site-specific conditions. Despite different types and levels of reduced irrigation leading to lower crop yield, the inclusion of the economic importance is essential as most crops showed higher water productivity at lower irrigation levels. On the other hand, studies on the integration of different water productivity enhancement techniques and crop planting patterns are minimal in the country, though current studies revealed better water productivity. Moreover, basin-level water productivity improvement studies could contribute to alleviating water competition and increasing irrigated areas. Therefore, studies on the optimization of these different methods could be done at the basin level for better water resource utilization. Government policies should also focus on water productivity improvement for the implementation of research findings.

Cultivated Land Information Extraction and Spatial Pattern Analysis in Beijing Based on Deep Learning

Abstract. Cultivated land is the basic resource and material condition for human survival, providing the necessary material basis for agricultural development and agricultural modernization (Tian and Shi, 2024). For this reason, this paper takes Beijing as an experimental area to study the cultivated land extraction method and analyze the distribution pattern of cultivated land and the degree of fragmentation. The results show that (1) the extraction results are evaluated by using confusion matrix and Kappa coefficient, and the Kappa coefficient is obtained to be 0.8358.(2) The cultivated land in Beijing is mainly distributed in the southeast as well as the northwest of the local area of gentle terrain, and the The range of the extremely high value of cultivated land kernel density in 2017–2022 is significantly reduced, the slope of the area with the smallest reduction in the proportion of cultivated land is less than 5°, the reduction in the area of cultivated land in water resource-rich areas is small, and the reduction in the proportion of cultivated land in road-intensive areas is large. (3) Due to various natural factors and human activities, the degree of cultivated land fragmentation in Beijing is increasing, the boundary shape of cultivated land patches tends to be irregular.

Study on the Value of Ecosystem Services and Land Use Change in the Area North of the Tianshan Mountains from 2000 to 2020

The northern Tianshans region in the arid zone of northwestern China plays a key role in promoting high-quality development of the ecological environment. In recent years, ecological environmental protection in this region has encountered major challenges due to the dual impacts of human activities and natural changes. In order to accurately assess the current status of the ecological environment in the northern Tianshans, this study analyzed the spatial and temporal changes in land use and ecological and environmental effects using land use data from 2000 to 2020 and explored the current status of land use, land use dynamic process, and ecosystem service value (ESV) in the region. Two-factor spatial autocorrelation analysis revealed the spatio-temporal characteristics of the value changes over the 20-year period as well as their spatial heterogeneity. The results show that: (1) land use changes are dominated by increases in cultivated land, forest land, watershed, and wetland, and decreases in grassland, glacier snow, and bare land. Of these changes, the expansion of cultivated land area is the most significant, showing a total increase of 1136.13 × 103 hm2. (2) The ESV increased and then decreased, reaching the highest value in 2005 and the lowest in 2020. The value of individual ecosystem services is dominated by regulating services, accounting for about 67% of the total value. (3) The overall regional balance of ecological environment quality and the contribution rate of the conversion from bare land to other land types is as high as 82.7986%, constituting the main factor in regional ecological environment improvement. The spatial distribution pattern exhibits the characteristic of “high in the northeast and low in the southwest”. (4) There is a positive correlation between the ESV, the Normalized Difference Vegetation Index (NDVI), and the Anthropogenic Impact Composite Index, with the NDVI being the main cause of spatial heterogeneity in the ESV. The research results provide a scientific basis for ecological protection, land management, and policy formulation in the northern foothills of the Tianshan Mountains and are of great significance for promoting regional sustainable development.

Spatiotemporal dynamics of vegetation net primary productivity and its response to climate variability

Despite its significance, net primary productivity is rarely used as an indicator of climate change. The purpose of this study was to assess the spatiotemporal dynamics of vegetation net primary productivity and its response to climate variability in the Welmel watershed, southeastern Ethiopia. The investigation utilized data from the Moderate Resolution Imaging Spectroradiometer, and the Climate Hazards Group Infrared Precipitation with Stations accessed through the Google Earth Engine cloud computing platform. To evaluate the trend and response of net primary productivity to climatic factors, the Mann-Kendall and Theil Sen’s tests, the Pearson correlation coefficient, and stability analysis through the coefficient of variation of net primary productivity were utilized. The analysis of the temporal trend of net primary productivity revealed that the entire watershed, forest, wood, and cultivated land areas exhibited decreasing trends with net primary productivity values of -0.681, -4.361, -1.41, and − 3.25 g C m− 2/year, respectively. On the other hand, shrubs and grazing land displayed increasing trends of 1.15 and 2.04 g C m− 2/year, respectively. The wood and shrubland trends were statistically significant (p < 0.05). In the spatial analysis, an area of 64.6% showed a decreasing trend, whereas 33.78% displayed an increasing trend in net primary productivity values. The areas with stable and unstable variations in net primary productivity accounted for 26.47% and 8.02%, respectively. The net primary productivity of the land cover types and entire watershed were positively correlated with rainfall, however, only forests and woodlands were statistically significantly correlated (p < 0.05). The net primary productivity and land surface temperature were negatively correlated, except for forests and cultivated land, which were positively correlated. The results of this study provide essential information for managing ecosystems, supporting agricultural practices, and enhancing community resilience in a changing climate.

Assessing the impact of farmers’ willingness to pay on different cultivated land attribute levels in China: an empirical analysis using the choice experiment method

Exploring farmers’ willingness to pay (WTP) for cultivated land protection and its influencing factors is key to promoting their enthusiasm for participating in cultivated land pollution governance. However, existing studies often overlook the differences in farmers’ preference for different levels of cultivated land attributes and the issue of intertemporal choice in farmers’ WTP, thus lowering the effectiveness of cultivated land protection policies. Using survey data from 646 small farmers in Shandong, Jiangsu, and Zhejiang provinces of China, this study empirically analyzes the impact of time preference on farmers’ WTP for cultivated land attribute levels by utilizing the choice experiment method, measures the relative importance of different cultivated land attributes and attribute levels to farmers, and calculates farmers’ WTP for different cultivated land attribute levels. The results revealed that farmers are generally reluctant to pay for cultivated land protection. Time preference affects farmers’ WTP for different levels of cultivated land attributes, with future-biased preference increasing farmers’ WTP and present-biased preference inhibiting it. Furthermore, for farmers, the relative importance of cultivated land attributes is in the order of cultivated land quality, cultivated land surrounding landscape and ecological environment, cultivated land social security function, and cultivated land area. The most crucial cultivated land attribute level is the improved cultivated land quality, with an average WTP of 3290.625 CNY per hectare (approximately 459.117 USD). In contrast, the least important cultivated land attribute level is the unchanged cultivated land area, with an average WTP of 1001.250 CNY per hectare (approximately 139.697 USD). The economic benefits of cultivated land protection in the sampled provinces can reach 353.892 million CNY per year (approximately 49.376 million USD) annually, which is calculated based on vegetable planting area. Our results suggest that the government should diversify farmers’ sources of income while increasing the amount of income, thereby reducing barriers to farmers’ payment. Simultaneously, farmers’ time preferences should be considered to guide them toward expecting long-term benefits and encouraging their active participation in cultivated land pollution governance. Moreover, cultivated land protection policies should match the preference of farmers for cultivated land attributes and attribute levels, and a limited fiscal fund should be allocated to the cultivated land attributes (i.e., cultivated land quality) and attribute levels (i.e., improved cultivated land quality) preferred by farmers to improve policy efficiency. This study highlights the importance of encouraging farmers to actively participate in cultivated land pollution governance and improving the allocation efficiency of the government’s cultivated land protection fund.

Land Cover Simulation and Carbon Storage Assessment in Daqing City based on FLUS-InVEST Model

Considering Daqing City as the research area, the impact of land cover change on carbon storage in the future was discussed, and the hot spots of carbon sequestration capacity were identified. The future land use simulation （FLUS） model was used to simulate the land cover pattern of a natural succession scenario, ecological protection scenario, urban development scenario, and comprehensive development scenario in 2030, and the integrated valuation of ecosystem services and trade-offs （InVEST） model was combined to estimate carbon storage in 2010, 2020, and 2030. Finally, the hot spot analysis tool was used to identify the cold hot spots of carbon sequestration capacity. The results showed the following： ① From 2010 to 2020, the area of cultivated land, water, and artificial surface increased, whereas the area of other land cover types decreased, and the total carbon storage decreased by 8.6×105 t. ② The land cover change of the natural succession scenario and urban development scenario in 2030 was similar to that of 2010-2020, with carbon storage decreasing by 1.16×106 t and 1.20×106 t, respectively. The carbon storage of the comprehensive development scenario decreased by 1.00×106 t compared with that in 2020, and carbon storage of the ecological protection scenario was 5.677 7×108 t, which increased by 2.53×106 t compared with that in 2020. ③ The conversion of grassland and wetland to cultivated land was the main cause of carbon storage loss, and the main contributor of carbon storage in the ecological protection scenarios was wetland. ④ The hot spots of carbon sequestration capacity were mainly located in the wetland area, and the cold spots were mainly distributed in the central part of Daqing City. The carbon sequestration capacity of cultivated land was not significant. According to the research results, to realize the urban transformation of Daqing City, we should insist on returning farmland to forest and grass, increase the intensity of returning moisture, improve the utilization rate of urban land, and increase green infrastructure in the main urban area.

Effects of Climate Changes and Crop Phenological Responses on Soil Organic Carbon of Cultivated Land in Fujian Province

Research on the mechanism of how climate change affects cultivated soil organic carbon is the basis for the management of cultivated land quality in the context of climate change. Crop phenological responses to climate change have an important effect on cultivated soil organic carbon as well. However, previous research primarily focused on the independent effects of climate change or crop phenological responses on the changes in soil organic carbon, and few studies have analyzed the changes in cultivated soil organic carbon under the combined influence of both factors or quantified their contribution rates to the changes in cultivated soil organic carbon. Based on topsoil samples in 2008 and 2021, annual pre-season and mid-season climate data from 2008 to 2021, and the phenological parameters extracted from the enhanced vegetation index （EVI） time series from 2007 to 2022, a soil organic carbon predictive model was constructed using the random forest algorithm. The total change in soil organic carbon from 2008 to 2021, the change in soil organic carbon under climate change alone, and the change in soil organic carbon under the synergistic influence of climate change and crop phenological responses were simulated. Furthermore, the contributions of climate change and crop phenological responses to the changes in cultivated soil organic carbon were distinguished and quantified. Moreover, the dominant influencing factors of soil organic carbon changes and their spatial distributions were identified and analyzed. The results were as follows： ① Under the synergistic influence of climate change and crop phenological responses, a decrease was observed in soil organic carbon in 74.15% of the cultivated land area in Fujian Province during the years 2008-2021, with an average decrease of 2.20 g·kg-1. Additionally, there was an increase in soil organic carbon in 25.85% of the cultivated area, with an average increase of 1.48 g·kg-1. ②The average contribution rates of pre-season climate, crop phenological responses to climate change, mid-season climate, and phenological changes resulting from cultivars shifts or other adjustments of agricultural measures to soil organic carbon changes were 34.08%, 28.56%, 22.75%, and 14.61%, respectively. Overall, climate change had a greater impact on the changes in cultivated soil organic carbon in Fujian Province than the crop phenological response to climate change. ③ The regions where climate change and phenological response jointly acted as dominant influencing factors held the largest area, accounting for 47.06% of the total cultivated land area in Fujian Province, and the regions where climate change was the dominant influencing factor alone held the second-largest area, accounting for 28.64% of the total cultivated land area. ④ Higher contribution rates of pre-season climate factors and phenological changes resulting from cultivar shifts or other adjustments of agricultural measures tended to be distributed in higher-altitude areas, whereas higher contribution rates of mid-season climate factors and phenological responses to climate change tended to be distributed in lower-altitude areas. These research findings can provide a theoretical basis for decision making regarding the management of cultivated land quality and the safeguarding of food security in the context of climate change.

Characteristics of Spatial and Temporal Changes in Carbon Stocks in the Middle and Upper Reaches of the Huaihe River Basin and Future Multi-scenario Simulation Prediction

The Huaihe River Basin is located in the north-south climate transition zone of China. The change of carbon storage in this area is of great significance for predicting the future ecological protection, mitigating climate change, and maintaining sustainable development of the Huaihe River Basin. The middle and upper reaches of Huaihe River Basin （above Bengbu station） were taken as the research area. Based on the land use data from 1980 to 2020, the PLUS model was used to simulate and predict the land use types in the study area from 2030 to 2100 under the scenarios of SSP1-2.6, SSP2-4.5, SSP5-8.5, and the continuation of land use status. The carbon module in the InVEST model was used to simulate and predict the carbon storage from 1980 to 2020 and the carbon storage from 2030 to 2100 under various scenarios, and the spatial and temporal changes of carbon storage in the middle and upper reaches of the Huaihe River Basin were compared and analyzed. The results showed that： ① From 1980 to 2020, the basin showed a decrease in both cultivated land and grassland,and the area of forest,water, construction, and unused land all increased, among which the area of cultivated land continued to decrease, with a total decrease of 4 699 km2 in 40 a. Construction land continued to increase, with a total increase of 4 592 km2 in 40 a. ② The carbon storage in the basin showed a downward trend, with a total reduction of 1.05×107 t from 1980 to 2020. ③ In the four scenarios, the area of each land type had different degrees of change, and that of the SSP1-2.6 scenario was relatively small out of the four scenarios. ④ Compared with the carbon storage in 2020, the carbon storage in the SSP1-2.6 scenario increased by 8.7×104 t, the carbon storage in the SSP2-4.5 scenario decreased by 1.42×107 t, the carbon storage in the SSP5-8.5 scenario decreased by 1.34×107 t, and the carbon storage in the current continuation scenario decreased by 1.22×107 t. The study can provide a scientific basis for land use structure management and ecological protection in the middle and upper reaches of the Huaihe River Basin （above Bengbu station） in the future.

Analysis of land use land cover change dynamics in Habru District, Amhara Region, Ethiopia

This study examines spatiotemporal changes in Land Use Land Cover (LULC) patterns within Habru District, Amhara Region, Ethiopia, between 1985 and 2021. Employing Landsat imagery and a supervised classification approach, we mapped six LULC classes: water body, settlement area, cultivated land, bare land, shrub land, and forest land. Ground control points (GCP) were obtained through field observations to ensured image accuracy. Complementing the remote sensing analysis, focus group discussions (FGDs) and key informant interviews were conducted to understand local perspectives on LULC changes. The analysis revealed significant LULC transformations over the study period. Between 1985 and 2021, there was a significant increase in cultivated land and settlement areas, which expanded from 12.27 % to 0.23 %–42.12 % and 2.58 % of the total area, respectively. Conversely, shrub and forest lands saw a marked reduction during the same period, declining from 71.52 % to 12.88 %–45.35 % and 7.06 % of the total area, respectively. Water body area showed a minor increase, while bare land exhibited negligible change. Agricultural land and settlement area expansion, population growth, land tenure insecurity, economic challenge, and climatic change were identified as key drivers of observed LULC changes. Our findings underscore the urgency of implementing multifaceted interventions to address these drivers and promote sustainable resource use practices. Such actions are critical for safeguarding Habru District's natural resources and ensuring the long-term viability of ecosystem services.

The Influence Of Socio-Economic Characteristics Of Farmers On The Food Availability Of Farming Households In Warudoyong Sub-District, Sukabumi

Food security is a global, multidimensional issue with social, economic, political and environmental interests. The purpose of this study was to determine the influence of socioeconomic characteristics of farmers on the availability of farm household food in Warudoyong Sub-district, Sukabumi City. This study used descriptive method with quantitative approach. The data collection techniques used in this research are observation, questionnaires, literature, and documentation. The results showed that the socio-economic characteristics of farmers, which include age, education, area of cultivated land, number of dependents, and farmers' income, together have a significant effect on the food availability of farming families with a contribution of 97.8%, while 2.2% is influenced by other variables outside the study. Farmers' age through education has a significant effect on food availability, but farmers' education through income does not have a significant indirect effect. Similarly, the size of cultivated land through income also has no significant effect on family food availability. The direct effect of these factors is greater than the indirect effect, so the income variable is not a significant mediator in the relationship between education and land area on food availability. The implication of this study is that the increasing age of farmers will further reduce the food availability of farming families.

Estimating the dynamics and driving factors of gross primary productivity over the Chinese Loess Plateau by the modified vegetation photosynthesis model

Gross primary productivity (GPP) is a key parameter in research on the global carbon cycle and changes. Understanding the spatiotemporal dynamics and influencing factors of GPP on the Loess Plateau (LP) helps identify the health status of ecosystems, thereby enabling the implementation of effective conservation and restoration measures. In this study, we used a modified vegetation photosynthesis model (VPM) to simulate a long-term series of GPP in the LP from 2001 to 2022, and the impacts of different land-use patterns and meteorological factors on GPP were investigated using a transition matrix, linear regression, and partial correlation analyses. The findings suggested that the modified simulation yielded a more reliable performance (coefficient of determination (R2) = 0.89, root mean square error (RMSE) = 143.47 gC·m−2·yr−1) and was suitable for further research endeavors. (1) The GPP on the LP significantly increased by 232.65 TgC from 2001 to 2022. The southeastern region contributed more than the northwestern region, and the GPP exhibited higher multi-year averages and growth rates below 1000 m elevation. (2) Forests in the southeastern region of the LP, characterized by a heightened growth rate, will influence future spatial variations in GPP increases across the LP. Despite the decline in grassland and cultivated land areas, substantial land coverage has significantly contributed to the overall GPP growth. Urbanization encroaching on cultivated land has emerged as a key contributor to the decline in GPP in low-altitude regions. (3) Air temperature was the main physical driving force for GPP change in the LP. Additionally, the GPP in forested regions exhibited a negative correlation with rainfall, whereas the GPP in areas undergoing the return of cropland to forest–grassland and cropland reclamation correlated negatively with solar radiation. (4) The attribution analysis indicated that the surge in vegetation GPP on the LP was collectively driven by human activities and meteorological changes, with human activities dominating these changes by 61.41 %. This study deepens the understanding of terrestrial ecology in semi-humid regions and provides scientific insights for implementing ecological governance strategies in the LP.

Spatial zoning and effect evaluation of county high-standard farmland siting delineation for sustainable cultivated land use in China: A case study in Dali, Shaanxi

High-standard farmland construction is critical for sustainable land use and food security in China. Currently, scientific siting delineation for high-standard farmland at the county level is lacking. Delineation through evaluation and zoning is essential to improve land productivity. This study focuses on Dali County in Shaanxi Province, Fenwei Plain. It analyzes cultivated land changes using the land use transfer matrix and the PLUS. By integrating macro “township-parcel-grid” and micro “farmer” perspective, it establishes a comprehensive evaluation system for high-standard farmland delineation. We delineate construction zones and evaluate potential effect of high-standard farmland. The results reveal that: (1) From 2000 to 2020, the cultivated land area generally decreased. The permanent basic farmland positively contributes to the increase of cultivated land. Land use simulation in 2030 results show that the urgency for land consolidation. (2) The delineated high-standard farmland area in Dali is 85,081 hm2, with comprehensive evaluation index values ranging from 0.2229 to 0.5970, indicating that Dali has the potential for continuous construction of high-standard farmland. (3) This study zones high-standard farmland construction according to the difficulty and time sequence. Delineated high-standard farmland can play potential effect of agglomeration and demonstration, sustainable and coordinated development and grain production capacity increasing. We offer a scientific method for delineating zones of high-standard farmland within county, providing recommendations for sustainable high-standard farmland construction. It serves as a reference for the gradual conversion of all permanent basic farmland to high-standard farmland in China.

Analysis of the coupling and coordination between soil erosion and land use in the Northeastern black soil region of China: a case study of Lishu County

Lishu County, which is located in the black soil region of Northeast China, represents a key site for the analysis of soil erosion intensity. This study offers a scientific foundation for the development of targeted soil and water conservation strategies within the region. The Revised Universal Soil Loss Equation (RUSLE) was employed to compute the soil erosion modulus in Lishu County, with the objective of conducting a quantitative analysis of the temporal and spatial distribution patterns of soil erosion. Additionally, the changing characteristics of soil erosion were examined from the perspectives of land use types and slope variations. The Generalized Connectivity Causality Model (GCCM) was utilized to identify the causal relationship between soil erosion and land use types through the reconstruction of state space and cross-mapping predictions. (1) Soil erosion in Lishu County between 2000 and 2020 predominantly exhibited mild to moderate levels, characterized by patchy and sporadic erosion, with relatively severe occurrences in the northern and central regions. (2) Soil erosion was correlated with land use and slope variations, with more than 90% of erosion incidents transpiring in cultivated land areas. The 3°-5° slope range in Lishu County emerged as a focal point for erosion, necessitating targeted prevention and control measures. (3) The GCCM model illustrated a discernible causal relationship between soil erosion and land use, revealing mutual influences between the two factors. Between 2000 and 2020, both the area and intensity of soil erosion in Lishu County exhibited an initial increase, followed by a subsequent decrease. This suggests an overall trend of amelioration in soil erosion conditions. However, notable spatial disparities persist in the erosion distribution across the region.

Increased food crop diversification and gathering of wild plants associated with women's dietary diversity in Chad.

Women of reproductive age are particularly vulnerable to low-quality diets due to their higher micronutrients needs. The minimum dietary diversity for women (MDDW) is a proxy for micronutrient adequacy in this group of women. Its relationship with other aspects that lead to malnutrition is not fully elucidated and depends on the context. In this study, we assessed the prevalence of MDDW among women of a rural area in Chad and its association with socioeconomical, agricultural, dietary and food security data. A cross-sectional study was conducted. Following a multistage cluster sampling, 984 women of reproductive age were randomly selected and interviewed in March 2019. We obtained food consumption data through unquantified 24 h recalls and computed MDDW as consuming at least five out of 10 predefined food groups. We constructed a Food Production Diversity Score (FPDS) with crop and livestock information. We obtained multivariable logistic regression models including different covariates. MDDW was achieved by only 33% of women in the sample. In our final model, we identified a significant association of MDDW with the FPDS and gathering ofwild plants. Women in households with the highest FPDS had 70% more chances of achieving MDDW than those with the lowest FPDS. Gathering wild plants doubled these chances. Areas of cultivated land,Water, Sanitation and Hygiene resources, and a high level of food security, measured with the Household Food Insecurity Access Scale,were also significantly related to the achievement of MDDW. This illustrates the importance of nutrition-sensitive policies, also considering biodiversity and food production diversification.

Study on the characteristics and scenario simulation of land use change in the Chaohu Lake Basin, China

Effectively evaluating the historical and future land use/cover change (LUCC) is significant for effective land use planning and management, ecological conservation, and restoration. Taking the Chaohu Lake Basin (CLB) as the study area, GIS technology and geographic detector were used to quantitatively analyze the change characteristics and driving factors of LUCC under the three periods in 2000, 2010, and 2020 of the CLB. This study aimed to comprehend the alterations that have transpired over the last two decades. In addition, the PLUS model was utilized to forecast LUCC trends under three scenarios: natural development, urban development, and ecological protection by 2030 in the CLB. The results suggest a significant decrease of the cultivated land area, while a considerable increase for the construction land area from 2000 to 2020 in the CLB. The expansion of the construction land area was mainly driven by the conversion of cultivated land area. Additionally, the slope was identified as the primary factor influencing LUCC, with q-values of 0.275, 0.266, and 0.258 in 2000, 2010, and 2020, respectively. The interaction between slope and soil type, distance to the trunk road and the secondary trunk road, and GDP was strong. The explanatory capacity of socioeconomic factors demonstrated a steady increase. The simulation results indicate that a decrease in cultivated land area and an increase in construction land area still occurred by 2030 in the CLB, particularly in the urban development scenario. Nonetheless, a notable deceleration of change was appeared in the ecological protection scenario. The alterations in forest and grassland areas were not significant. However, the water bodies area continued to enlarge, although the expansion was not substantial. The study results can provide policy references for the scientific management and long-term strategic planning of land resources in the CLB.