Agricultural Land Use Research Articles

Effect of climate change on West Nile virus transmission in Italy: a systematic review

Abstract Background West Nile Virus (WNV) is a pathogen transmitted by mosquitoes of the Culex genus, affecting both humans and animals such as horses and birds. The prevalence of WNV infection has increased dramatically in recent years in Europe, especially in Italy, and has been related to climate and environmental changes linked to global warming. Our review aims to assess the relation between the spread of WNV in Italy and the different climate change-related factors. Methods We conducted a literature search in the PubMed, Web of Science, Embase and Scopus databases, actualised as of 20 February 2024, using as search terms WNV, its vectors and climate change, and limiting our analysis to studies conducted in to avoid an overly heterogeneous setting. We registered the review in PROSPERO (CRD42023430636). Results Of the 252 unique records retrieved, we eventually included 25 articles after full-text screening. These studies were published between 2011 and 2023 and evaluated the distribution of WNV or its vectors according to various climatic and environmental factors. Despite rather heterogeneous results, we found a consistently positive association with temperature, especially spring temperature, agricultural land use, demography, and soil moisture, and a negative one with evapotranspiration and wind, while the relationship with other environmental variables and water cycle-related factors was weak, null or conflicting. Conclusions Despite some inconsistencies in the results, likely related to differences in study methodologies as well as complex environmental interactions, we found unequivocal evidence that climate change-related factors, such as the lengthening of the warm season, extensive farming, and invasive human activities towards natural environments, favour WNV spread in Italy. Consequently, actions against global warming and preservation of natural environments may counteract the WNV epidemic. Key messages • WNV epidemic seems to be linked to specific climate change-related factors, such as the lengthening of the warm season, extensive farming, and invasive human activities towards natural environments. • Actions against global warming and preservation of natural environments may counteract WNV spread.

Monsoonal impacts on the community trophic niches in two temperate headwater tributaries across a land use continuum

Pulsed flows following heavy monsoon rain events alter riverine food webs, but their impact on headwater stream food webs across the continuum from forested canopy to open agricultural land use remains unclear. We investigated carbon and nitrogen stable isotopes in macroinvertebrates and fish in two tributaries of the Suyeung River, Korea, before and after heavy monsoon rains to assess changes in community trophic niches. Basal resources (leaf litter and biofilms) exhibited consistent δ13C and δ15N values across seasons, with biofilms showing higher δ13C values. δ15N values increased from forested to agricultural reaches, indicating varied nutrient inputs. Consumer isotope values remained stable over time but varied longitudinally, reflecting reliance on local resources. Trophic niches differed between watershed locations but overlapped seasonally. Despite a decrease in consumer δ13C ranges after heavy rainfalls, variations in their δ15N ranges and the ellipse centroid (SEAc) of isotopic niches between sites resulted in broadly consistent SEAc across locations and seasons. This indicates limited evidence for directional reshaping of food-web properties across channel reaches following monsoon rains. Downstream isotopic shifts suggest substantial agricultural influences on food webs. Overall, our findings highlight that monsoon rains may have minimal effects on the community trophic niches of stream food webs.

Evaluation of Land Suitability for Organic Horticulture Farming in Support of Sustainable Agrarian Governance

Abstract: Land compatibility can contribute to the optimization of agricultural land use, because this evaluation is used to determine the most appropriate spatial plan for current and future land use. Identifying the suitability of agricultural land is necessary to adapt to increasing food needs caused by expanding population, environmental pollution and climate change. Therefore, this research was conducted to assess the suitability of snake fruit plants. Various factors were considered in this research, such as rainfall, temperature, nutrient availability (wa), rainfall density (rc), organic carbon (nr), slope, flood hazard (fh) and erosion hazard (eh). The results of the classification of land suitability classes in the Sleman Regency area, in this case, are that snake fruit plants in most areas fall into the criteria for land suitability class S2 or quite suitable. The results are with an area of??42,150 Ha or with a percentage of 73.4% of the land suitability class S2 or Sufficiently Suitable. (Medium Suitable) is land that has quite heavy barriers to maintain the level of management that must be carried out. In the land suitability class S1 or very suitable in the research area with an area of?? 10625 Ha or with a percentage of 18.5, the land suitability class Very Suitable (Very Suitable) is land that has no boundaries. The results of the land suitability assessment, both actual and potential, can be carried out by improving efforts such as improving drainage, adding organic material, planting according to contours, fertilizing. Keywords: Horticulture, Uniformity, Land Suitability, Organic Farming, Snake Fruit

Riverine CH4 and CO2 emissions respond to associated agricultural land use and seasonality

ABSTRACT Recently, agricultural land use has significantly impacted carbon emissions and water quality in adjacent rivers. This study examined the influence of land-use types and seasonality on carbon emissions from agriculture-impacted rivers in Shanghai. Our results showed that the crop farming land-use-associated river (AR) had CH4 and CO2 fluxes 2.68 and 3.47 times higher, respectively, than those in the aquaculture land-use-AR and 2.86 and 2.81 times higher than in the livestock and poultry breeding land-use-AR. Statistical analyses revealed that total nitrogen, ammonia nitrogen, and humification index were significantly correlated with crop farming land-use-AR carbon emissions. Conversely, no clear correlation was found between chemical factors and carbon fluxes in the aquaculture land-use-AR and livestock and poultry breeding land-use-AR due to the complexity of pollution sources. Seasonality significantly influenced CH4 and CO2 fluxes from agriculture-impacted rivers, with carbon fluxes in summer being 3.5 and 2.5 times higher than in winter, respectively. Crop farming land-use-AR carbon fluxes exhibited the highest variability under seasonal influences. This study emphasizes the need for policies to mitigate agricultural land use impacts on river carbon emissions.

Habitat quality in farmland influences the activity patterns of giant Galapagos tortoises

AbstractMany Galapagos giant tortoises make seasonal migrations from arid lowlands in the wet season, to humid highlands in the dry season. However, for critically endangered Western Santa Cruz giant tortoises (Chelonoidis porteri), at least 88% of the habitat in the highlands is now used for agriculture. To understand the impact of agricultural land use on tortoise behavior, we conducted 242 30-minute observations of tortoises on farms. We (1) recorded the time tortoises spent eating, walking, and resting in three different land-use types, (2) measured their temperature, and (3) quantified their selection of fine-scale vegetation characteristics. We found that tortoises rest for significantly longer periods when they are in abandoned land, compared to livestock, grazing, and touristic land. Generally, tortoises rested for longer when they were cooler. Time spent eating was increased by the density and proportion of ground vegetation, while time spent walking was reduced by tall vegetation. These findings suggest that the distribution of land-use types and the fine-scale composition of thermoregulatory and grazing resources within farmland have important implications for the behavior of tortoises while in human-modified land. Wildlife managers and landowners wishing to support tortoises on farms should focus on rehabilitating abandoned land and encouraging a heterogenous mix of sun and shade, and short ground vegetation across land-use types.

Impact of Indonesia's Forest Management Units on the reduction of forest loss and forest fires in Sulawesi

The establishment of Forest Management Units (Kesatuan Pengelolaan Hutan/ KPH) represents one of Indonesia's most significant forest governance reforms, covering the 120 million hectares of designated Forest Areas. Sharing features with the Landscape Approach, KPHs are expected to reduce deforestation and forest degradation through improved forest planning, oversight, open access avoidance, and fire prevention and response. This paper assesses the impact of KPHs on the reduction of forest loss, including forest loss due to fire, and the factors that influence this impact (e.g. KPH's primary objective, deforestation risk). We use remotely sensed data to estimate difference-in-differences models accounting for differences in baseline characteristics and multiple time periods. Our case study, Sulawesi Island, is primarily shaped by smallholder farmer land use, where KPHs can exert significant influence. We do not find evidence of an overall effect of KPHs on deforestation. However, we observe intriguing heterogeneous effects depending on the year, including significantly less deforestation in already-established KPHs during the El Niño years of 2015–16, and a notable impact on the reduction of forest loss due to fire in some early-established KPHs. These findings warrant further investigation.

Land use drives prokaryotic community composition of directly adjacent grasslands

AbstractUnderstanding the impact of agricultural land use on the soil prokaryotic communities in connected downslope sites is crucial for developing sustainable strategies to preserve ecosystem properties and mitigate agriculture’s environmental impacts. In this study, we investigated topsoil samples collected at three time points in 2022 (March, June, and November) from two adjacent catenas, reaching from hillslope to floodplain. The catenas differed in land use (extensive grassland vs. extensive cropland) at the top and middle parts, while the floodplain remained an extensive grassland due to legal restrictions. Using quantitative real-time PCRs and metabarcoding, we assessed prokaryotic abundance and prokaryotic community composition. Results show higher bacterial abundance in the cropland-influenced floodplain part across all time points compared to the grassland-influenced floodplain part. Temporal dynamics revealed a progressive decrease in the shared prokaryotic communities of the floodplain parts, peaking at the summer sampling time point, indicating a significant influence of the respective management type of the agricultural sites over the bacterial and archaeal communities of the floodplain parts. Differential abundance analyses identified several nitrifying taxa as more abundant in the cropland-influenced floodplain. Upstream land use also influenced the prokaryotic network of the cropland-floodplain, with some cropland taxa becoming keystone taxa and altering network morphology, an effect not observed in the grassland-influenced floodplain. These findings suggest that upstream agricultural land use practices have exerted a long-term influence on the floodplain prokaryotic communities over the past three decades. Moreover, there is evidence suggesting that these prokaryotic communities may undergo a potential reset during winter, which requires further investigation.

Economic Assessment of Hydrologic Ecosystem Services in Morocco’s Protected Areas: A Case Study of Ifrane National Park

This study delves into the complex interplay between land use dynamics, hydrological services, and intangible benefits within the context of Ifrane National Park (INP) in Morocco. Due to its extensive mountain forests and numerous wetlands, INP is a crucial contributor to the nation’s water supply and a vital source of hydrological ecosystem services (HES). However, climate change and evolving land use patterns have led to diminishing water resources and the desiccation of certain wetlands. This research used the Integrated Valuation of Ecosystem Services and Tradeoffs software (InVEST 3.10.2) for HES quantification and environmental economics approach for monetization to comprehend how HES values respond to challenges posed by urbanization, intensive agriculture, and other land use alterations. This work underscores INP’s role as a significant “water tower”, emphasizing the evolution of its services amidst challenges. Our findings reveal an annual decrease in HES economic value by USD 4000. This economic assessment serves as a compelling tool to enlighten decision-makers and park users about the imperative need to preserve natural ecosystems and use water resources judiciously. It advocates for investments in conservation and restoration within protected areas to sustain these vital services.

Socio-economic Impact Assessment of Salinity Prevention Structure-Bardasagar Scheme in Porbandar District of Gujarat, India

India's vast coastline, spanning 7,516 kilometers, faces a critical challenge of seawater intrusion, resulting in salinity issues that profoundly affect agriculture, water resources, and socio-economic well-being. Among the coastal states, Gujarat, with its extensive 1,600-kilometer coastline, bears a significant burden of this phenomenon. The Barda Sagar Prevention Scheme aims to mitigate these effects by managing water resources effectively, thereby reducing salinity impact in the Porbandar area of Gujarat and ensuring the well-being of local communities. The Barda Sagar Scheme, situated in Rinavada village within Porbandar taluka of Gujarat, stands as a vital initiative aimed at addressing these challenges. This study meticulously evaluates the scheme's impact on agriculture, livestock, and rural livelihoods in both upstream and downstream villages. The findings underscore the scheme's substantial positive influence on various facets of rural life. Significant shifts in cropping patterns and agricultural land usage, accompanied by notable increases in crop yields, particularly in principal crops like groundnut and cumin, demonstrate the scheme's efficacy in enhancing agricultural productivity. Moreover, changes in livestock population, production, and feeding practices suggest potential improvements in livestock management and productivity, despite some fluctuations in livestock populations. Access to safe drinking water, a fundamental aspect of rural livelihoods, has witnessed considerable improvement due to the scheme's implementation. Increased reliance on the Narmada pipeline and enhanced access to potable water across surveyed villages reflect positive strides in water security and overall living standards. However, the study also identifies various challenges and factors influencing the observed changes. Soil degradation, pest incidence, and the need for sustainable water management strategies emerge as notable challenges that require ongoing attention and intervention. While positive drivers such as increased rainfall and improved market access have facilitated progress, continued monitoring, and adaptive management remain imperative for ensuring the scheme's long-term sustainability and efficacy.

Drivers of carbon stabilization and sequestration in Brazil’s black soils

Climate and land use are recognized as two of the main drivers of changes in soil organic carbon (SOC) on a global scale. Both factors play an important role in understanding SOC sequestration and mitigation of climate change. Particularly important, black soils are mineral soils with high SOC contents and high natural fertility and play an important role in national and global food and climate security. Here, we used a database of 90 black soils in Brazil − under different climate and land use conditions across the country − to test the hypothesis that C stock is richer in wetter climate conditions and that agricultural land use reduces C stock and the percentage of carbon saturation (PCS%). Climate data were obtained from the National Oceanic Atmospheric Administration (NOAA) and used to classify Thornthwaite’s climate. The land use information was obtained in the MapBiomas platform and was grouped into three major types: cropland, pasture, and native vegetation. The nonparametric Kruskal-Wallis test showed no differences for C stock, C/N ratio, and PCS% for both land use and climate. The low C/N ratio and the strong correlation between Ca2+, CEC, clay, and SOC suggest that organo-mineral interactions − which are stronger in soils with high-activity clays (e.g., Chernozems, Kastanozems, and Phaeozems) − promotes greater stabilization of the SOC and its long-term persistence and, thus being less sensitive to variations in climate and land use. Considering the total area of approximately 3.7 × 106 ha and the average value of C stock of 93.2 Mg/ha, the total SOC stored in Brazil’s black soils is in the order of 0.35 Gt, and the carbon stock stabilization potential is 0.25 Gt. Our results highlight the potential of Brazil’s black soils to promote carbon sequestration and climate change mitigation.

Climate and Land Use Change Pressures on Food Production in Social-Ecological Systems: Perceptions from Farmers in Village Tank Cascade Systems of Sri Lanka

Climate and land use change pressures are critical to food production in Social-Ecological Systems (SESs). This study assessed farmers’ perceptions of the pressures of climate and land use changes alongside their impacts on food production in Mhahakanumulla Village Tank Cascade System (MVTCS), a SES maintained by traditional agricultural land use systems in the dry zone of Sri Lanka. This study used both rating and ranking scale questions to quantify farmers’ perceptions. The tobit regression model was employed to evaluate how farmer perception was influenced by socio-economic factors. The results showed that most of the farmers had experienced that the climate of the MVTCS area had changed over time, and they perceived variability of rainfall patterns as the most prominent and influential climate change. The increased cost of production, wildlife damage, and land degradation were ranked by the farmers as the most impactful factors of food production due to climate change. The farmers rated deforestation and land clearing as the most influential and impactful changes in land use, while wildlife damage and land degradation ranked as the highest impacts on food production due to land use changes. Among the socio-economic determinants, training and income/profit positively influenced farmer perceptions of the severity of both climate and land use change. The level of farmer’s adaptation to climate change had a negative association with their perception of the severity of climate change. Household size negatively influenced the perceptions of the severity of climate change while positively influencing perceptions of land use change impacts. Among the spatial determinants, farm size and downstream locations of MVTCS positively influenced perceptions of the severity of both climate and land use change. Thus, the effectiveness of adaptation strategies towards climate and land use change pressures depends on how well they are understood by the farmers. The study findings provide helpful insights for formulating localized land use policies and climate change adaptation strategies in these globally important landscapes with a combination of both top-down and bottom-up approaches.

Effect of farmland scale on agricultural green production technology adoption: Evidence from rice farmers in Jiangsu Province, China

Agricultural green production technology (AGPT) is crucial for mitigating farmland pollution and degradation, as well as promoting green agricultural development. Using data from 774 rice farmers in the 2021 China Land Economy Survey (CLES), the study analyzes the impact mechanisms and mediating pathways of farmland scale on AGPT adoption at both the farmer and plot levels. The study also reveals the differences in impact based on the heterogeneity of plot concentrations and technological attributes. The results show that: (1) Farmland scale positively impacts AGPT adoption, both at the farmer and plot level. (2) Farmland scale positively impacts AGPT adoption at two levels by affecting commercialization rate, time preference, and machinery investment. (3) The positive impact of farmland scale are heterogenous at two levels. When rice is scatteringly planted, plot scale has a more significant impact on AGPT adoption than operation scale; however, when rice is concentratedly planted, the situation is the opposite. Additionally, when faced with "capital-increasing, labor-saving, and risks-increasing" technology, operation scale has a more significant impact on AGPT adoption than plot scale; however, when faced with "capital-stabilizing, labor-increasing, and risks-controlling" technologies, the situation is the opposite. These findings help to provide policy implications for promoting AGPT adoption and sustainable farmland use.

The effects of land cover transition and its patch mosaics on soil erosion using geospatial technology in South Wollo, Ethiopia

Soil erosion has been a significant threat to agricultural productivity, dam sustainability, and ecosystem services in the highlands of Ethiopia. Despite some watershed-specific research on this problem, the spatiotemporal distribution of soil erosion risks is still rarely assessed in South Wollo. This study aims to monitor land cover changes, analyze landscape mosaics, and estimate soil loss in South Wollo from 1990 to 2020. The Revised Universal Soil Loss Equation (RUSLE) was utilized to estimate soil loss. Key informant interviews and field observations were conducted to gain further insights into land cover change and soil erosion. The results showed that agricultural land use was dominant, covering 50.75 % of the study area in 1990 and it continued to expand at an annual rate of 1.73 %, primarily on shrubland and grassland. The landscape structure was more heterogeneous in the north compared to the central and southern areas. In 1990, the mean soil loss was 21.13 t ha-1yr−1, totaling 41.53 million tons. By 2020, These figures had increased to 28.97 t ha-1yr−1 and 49.86 million tons, respectively. Areas experiencing very severe soil erosion (>50 t ha-1yr−1) expanded from 10.81 % (1990) to 13.57 % (2020). The magnitude of soil loss also differed among land cover types, with the highest rates observed in bare land (>85 t ha-1yr−1), followed by agricultural land (>30 t ha-1yr−1). Soil loss factors and landscape metrics exhibited a significant correlation with soil loss, though the strength and direction of these interactions varied. Land cover change and its associated soil erosion were primarily exacerbated by policy factors, including tenure insecurity and disregard for farmers’ indigenous conservation knowledge. This study offers valuable insights into the trends of land cover transitions, landscape structure, and soil loss. It will help guide sustainable land management, aimed at increasing green legacy and reducing soil loss.

Systems Thinking as a Catalyst for Climate-Cognisant Sustainable Land Use Planning: Insights from Regional Victoria, Australia

Amidst escalating climate change challenges, effective land use planning and decision-making are crucial for nurturing resilient and sustainable landscapes. Decision-makers often struggle with unintended consequences due to the intricate system dynamics, compounded by fragmented information and divergent stakeholder perspectives. This research integrates science, stakeholder engagement, and systems thinking to navigate the complexities of land use planning in response to climate change. We develop a decision-making framework for climate-cognisant sustainable land use planning, incorporating systems thinking principles. The framework uses validated expert system models to assess climate change impacts on agricultural land use. Through collaborative engagement with end users, it is refined to address specific regional challenges and opportunities. Applied within a case study in Victoria, Australia, and generalized for broader contexts, the framework provides a practical, systemic-intervention-driven process for better regional planning decisions amid evolving climate complexities. Keywords: Climate Change, Land Use Planning, Systems Thinking, Decision Making, Stakeholder Engagement

Analysis and Research on Farmland Use Changes in Changchun City Based on ArcGis Remote Sensing Images

Abstract Land is an essential basis for the sustained existence and development of human beings, arable land resources are the fundamental guarantee of food replenishment, contemporary scholars also put forward high requirements for the study of remote sensing image feature type classification extraction, the study of remote sensing image feature type classification and algorithms are very necessary. Therefore, based on remote sensing image data, this paper combines supervised classification with unsupervised classification, selects the advantages of the algorithm and improves it, refers to the classification system to select the classification standard, improves the support vector machine algorithm and compares it with other classification algorithms to improve the classification accuracy. Firstly, unsupervised classification is used to extract forest land, cultivated land and grassland into one category, and then secondary extraction is used to classify and subdivide them with SVM classification in supervised classification. Through conducting experiments on image data over a period of three years, the information of cultivated land is extracted from the remotely sensed image data of Changchun City in the years 2000, 2010, and 2020. By observing the change trend of land use, it is found that the cultivated land in Changchun City demonstrates a decreasing tendency from 2000 to 2020. Finally, it is concluded that Changchun’s cultivated land shows a decreasing trend from 2000 to 2020. Finally, this paper takes ten years as a gradient and obtains remote sensing image data in three time periods to analyze the change of cropland utilization. The results show that the method is effective in practical application and can save human and material resources to analyze the type of feature data.

Public Agricultural Spending on Cowpea and Soybean Yields in Cameroon: Implications for Productivity and Sustainable Development

This study examines the impact of public agricultural spending on cowpea and soybean yields in Cameroon from 2000 to 2024, using time series data and Ordinary Least Squares (OLS) analysis. The results indicate that public agricultural spending, land use, agricultural labour, and fertilizer use explain 82% and 96% of the variation in soybean and cowpea yields, respectively. Findings reveal a positive and significant relationship between agricultural labour and yields for both crops, highlighting the importance of labour-intensive farming practices. Additionally, increased public agricultural spending significantly enhances cowpea yields, emphasizing the critical role of government investment in agriculture. Conversely, a 30% decrease in public spending would likely reduce yields due to diminished access to essential inputs and services. The study underscores the need for sustained public support and efficient labour use to boost agricultural productivity in Cameroon. Copyright© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.

Quantifying the relative importance of agricultural land use as a predictor of catchment nitrogen and phosphorus concentrations

Agriculture is a major source of nitrogen (N) and phosphorus (P) in freshwater ecosystems, and different management strategies exist to reduce farmland nutrient losses and thus mitigate freshwater eutrophication. The importance of agricultural sources of N and P as drivers of water quality is known to vary spatially, but quantification of the relative importance of the nutrient sources shaping this variability remains challenging, especially with reference to inputs from waste water treatment works. Addressing this knowledge gap is key for targeting management strategies to where they are likely to have the greatest effect. To advance our understanding in this area, this study assesses the impact of population density as a driver of the relative importance of agricultural land use for predicting mean Total Oxidised Nitrogen (TON) and Reactive Phosphorus (RP) concentrations in rivers in England, using two different data-driven, statistical approaches: a generalised linear model and random forest. Our results show that agricultural N and P sources dominate in catchments with low population density, where stream water concentrations are lower and waste water treatment works are numerous, but smaller in terms of the population equivalent served. Agricultural N and P sources are not important predictors of N and P in catchments with high population density, where contributions from waste water treatment works dominate. These results require cautious interpretation, as model validation outcomes show that high TON and RP concentrations are consistently underpredicted. Altogether, our results suggest that the relative contribution of agricultural sources may be overestimated in densely populated catchments, relative to point sources from waste water treatment works, and that management strategies to reduce the contribution of agriculture to N and P in rivers may be better targeted towards catchments with lower population density, as this is where agricultural land use is the primary source of N and P.

Effects of Agricultural Land Use on Desert Soil Classification in Holy Karbala Governorate

This study was conducted to evaluate physical, chemical, and morphological features to classify soils at the subgroup level. The research area, located west of Karbala, consists of three locations, each comprising pedons in both cultivated and uncultivated lands. GPS coordinates were recorded, and morphological descriptions of pedon horizons were made in accordance with the American Soil Survey Manual. This study investigates the effect of agricultural land use on the classification of desert soils in the Holy Karbala Governorate. The results revealed that the dry climate caused diversity in the morphological features of the soils, mainly in horizon type, thickness, and arrangement. Agricultural usage had an impact on diagnostic horizons, particularly the gypsic horizon, and features such as soil color, structure, organic matter, carbonate minerals, gypsum, and root distribution. However, there was no substantial impact on soil texture development, and soils did not show a consistent pattern of soil separation distribution with depth, indicating weak pedogenic processes. The most common texture classes were loamy sand, sandy loam, and sand, with sand contents ranged from 902.08 to 574.12 g kg. Soil bulk density differed from 1.67 to 1.30 Mg m³, with lower values in farmed areas. Chemical properties were influenced, with soil pH ranging from 8.36 to 7.54, electrical conductivity (EC) from 5.46 to 2.03 dS m, cation exchange capacity (CEC) from 15.25 to 2.05 meq.100g, organic matter from 43.51 to 1.18 g kg, carbonate minerals from 461.18 to 174.06 g kg, and calcium sulfate from 182 to 21 g kg. The soils were classed as Aridisols because they were found in a dry desert with an Aridic moisture regime. The presence of distinctive saline layers such as Calcic and Gypsic was discovered, resulting in the classification of cultivated soils as Typic Haplocalcids and uncultivated lands as Typic Calcigypsids.

Применение комбинированного орошения при возделывании сои на мелкоконтурных участках в условиях аридной зоны Поволжья

The purpose of the work was to improve the soybean irrigation system during cultivation in small-contour areas, based on the dynamics of moisture reserves in the root soil layer in the conditions of an arid growing season in the arid zone of the Volga region using combined (drip + sprinkler) irrigation, including differentiation of the timing and norms of irrigation by phases of culture development. The article describes the use of drip irrigation in a dry year, when cultivating soybeans in areas of incorrect configuration, having small contours, on which it is impossible to install wide-reach sprinklers. For cultivation in arid conditions of the Volga region, soybeans of the moisture-loving variety "Pokrovskaya" were selected. A description of the use of combined (drip + sprinkler) irrigation of soybeans is given. The dynamics of the moisture supply of crops during drip irrigation and irrigation with sprinklers was analyzed according to the phases of soybean vegetation in the conditions of the arid year of the arid zone, with GTC < 0.4. The use of drip irrigation technology in these conditions will make it possible to additionally introduce land plots into agricultural circulation, which will ensure an increase in the coefficient of land use of agricultural land and an additional yield of soybeans up to 3.4 tons/ha.

THE CURRENT STATE OF AGRICULTURAL LAND USE IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT

This article discusses the rational use of agricultural land, taking into account structural and resource indicators for sustainable development. The effectiveness of land use in farms with different forms of land ownership depends on increasing labor productivity, strengthening the economy regime, increasing the intensification of production, using internal reserves and opportunities for agricultural production and, especially, rational use of land. The basis for the formation of sustainable land use should be strict observance of the established relationships between disturbed and undisturbed territories. Undisturbed territories should be considered as a stabilizing factor neutralizing anthropogenic impacts on the landscape. In this regard, the tasks of preserving productive agricultural land, optimizing arable land and acreage in terms of quantitative and qualitative characteristics of land are becoming a priority. The solution of these tasks is connected with the improvement of technologies for maintaining and increasing the bioproductivity of agricultural lands, the development of technologies for rational land management, land use and land protection, the creation of effective organizational and legal mechanisms for managing agricultural lands, as well as the development of state monitoring of agricultural lands. In order to approach the practice of determining the efficiency of land use, it is necessary to focus in more detail on its factors according to the selected functional subsystems and types of efficiency.