Agricultural Change Research Articles

Selected Driver Variables for the Simulation of Land-Use and Land-Cover Change for the Republic of Djibouti: A Study from Semi-Arid Region

Abstract. This study aims to integrate driver variables with a land use change model (LCM) to explore their impact on the natural environment within the context of land-use changes in the Republic of Djibouti, considering possible Business-as-usual scenarios. Secondary data from 1990 and 2012 on land use land cover (LULC) were analyzed, with a 2022 map generated by adopting the same method of secondary data used (random forest classification in Google Earth Engine (GEE)) for validation. Eight key driver variables were utilized to model plausible future land cover (2035) for Djibouti. Statistical outputs and change maps from the LCM were compared to gauge historical change estimates and simulated scenarios. Analysis from 1990 to 2022 highlights significant land use and cover changes spurred by urbanization, environmental factors, and economic development. Barren land and bushland dominated, while built-up areas and water bodies expanded notably. Urbanization, agriculture, and climate change contributed to vegetation degradation, with declines in mangroves and increases in built-up areas. Water bodies also expanded during this period. Projections from the 2035 LULC map anticipate further urban expansion, underscoring the need for sustainable land management practices. In conclusion, comprehensive land-use planning, interdisciplinary approaches, and stakeholder engagement are deemed critical for addressing Djibouti's socio-economic and environmental challenges and steering towards a sustainable future. These simulated results offer valuable insights for regional governments to frame strategic policies and assess management actions for resource utilization amidst urbanization and population growth trends.

An assessment of the water footprint of the population and agricultural crops in the natura 2000 site ROSCI0434 siretul mijlociu, Romania

The designation of a Natura 2000 site ROSCI0434 Siretul Mijlociu for the protection of habitats and species, whose development is closely tied to the aquatic environment, signifies that the management of water resources, and implicitly, the water footprint, has contributed to maintaining a balanced and favorable status for biodiversity conservation. Given that the Natura 2000 site was declared based on older studies, and the Management Plan for the protected natural area was not yet developed, we are now conducting an assessment of the impact of the water footprint in the current climatic conditions. This includes considering other predominant types of agricultural crops and changes in food habits. This evaluation aims to understand the relationship between the water footprint and the conservation status of species and habitats in light of these new circumstances.The blue and grey water components of the water footprint are the ones that directly affect the natural protected area out of the three components of the water footprint: green, blue, and grey water. The ecological impact of water use in ROSCI0434 Siretul Mijlociu is extensive, affecting both terrestrial and aquatic ecosystems. Pollutants can harm habitats and species, while agricultural water usage alters habitats and disrupts hydrological patterns, impacting breeding and foraging grounds. Additionally, changes in water quantity and quality diminish ecosystem services like water purification and habitat provision, affecting biodiversity and human well-being.

Palaeoclimatic shifts in the Central Ganga Basin during the Middle- to Late Holocene: Exploring the 4.2 ka arid event and its implications in northern India

The Central Ganga Basin is one of the most densely populated regions of India. It is agriculturally diverse and contributes much to the Indian economy. The region has housed numerous ancient and mediaeval empires. This study presents a continuous record of the paleomonsoon from the Chandrika Devi lake, Lucknow district of Uttar Pradesh, India which is linked with paleo vegetational shifts over the last ~6000 years (5871–75 cal yr BP). The chronology of the lake core is based on three accelerated mass spectrometry (AMS) radiocarbon and two Optically Stimulated Luminescence (OSL) dates. The multiproxy data (grain size, major and trace element ratio, total organic carbon (TOC wt%), carbon isotopes (δ13Corg‰) and pollen), suggest that the lake was initially a part of the Gomti river that began to transform into a lake at ~5000 cal yr BP with weakening of the Indian summer monsoon (ISM) in the Central Ganga Basin. The lake formation was completed at ~4100 cal yr BP under the influence of the 4.2 ka arid event. This phase marks the beginning of human presence as well as agricultural activities in the lake region with the appearance of Cerealia pollen and other agricultural taxa. The agricultural activity surrounding the lake catchment peaked at ~3000 cal yr BP. The lake gradually shrank and became a marshy lowland at ~75 cal yr BP. Our study is significant because it is the first comprehensive multiproxy study from the Lucknow region in the Central Ganga Basin on paleomonsoonal variability and its relationship to human activity, agricultural practices during the Late-Holocene with a focus on the 4.2 Ka arid event. Also, pollen record suggests that the changes in agriculture and human activity began just after 4.2 ka arid event in the study area.

303 What’s next for animal welfare from a legal perspective?

Abstract California’s “Prop 12” indicated a significant change for animal agriculture generally, but for legally mandated animal welfare standards more specifically. This presentation will outline the general requirements of the law and aspects of the United States Supreme Court opinion finding it to be constitutional. It will also discuss the longer term and more widespread effects of the Supreme Court opinion on potential legislation in the United States. Finally, it will preview another Supreme Court case, heard this year and not yet decided, that may have an impact on the regulation of animal welfare.

Breaking out of conventions: How scenario planners can increase their reflexivity regarding societal imaginaries

Futures imagined in scenario processes reflect both stakeholder perspectives and broader societal imaginaries: collectively-held, institutionally-stabilized visions of the future. The presence of imaginaries has mostly remained implicit in studies of scenario planning, especially in development contexts. We argue that scenario planning will benefit from reflexivity regarding imaginaries. Here, reflexivity refers to an awareness regarding different perspectives, assumptions, values, and—oft-hidden—politics at play. We developed a framework of relevant imaginaries and assessed how and to what extent these are expressed in scenario narratives, through analyzing seven scenario sets focused on agriculture, food security and climate change in the Global South. Our results show that neoliberal and sustainable development imaginaries are dominant in these scenarios. Imaginaries from the Global South are scarcely represented—arguably because of that, we observe few regional perspectives on potential challenges in these scenario sets. We conclude that the scenario sets offer effective critique on neoliberal mechanisms and global development dynamics, but do not provide significant room for transformational alternatives from the Global South. We argue that opening up explorative scenario planning to more pluralistic conceptions of the future can greatly enhance its reflexivity, and a representative mix of imaginaries allows for scenario planning that leads to more transformational policies.

Unveiling the frontiers: Historical expansion and modern implications of agricultural land use in Denmark

This study offers a first-of-its-kind investigation into the spatial and temporal transformation of agricultural land use and expansion in crops and livestock at national scale during the middle and latter half of the 19th century.We introduce an innovative methodological framework that combines historical data with advanced spatial analysis to trace and map the evolution of frontiers of agricultural land use changes, illustrating Denmark’s agricultural evolution towards the modern era.Our research uncovers critical shifts in cropland, grazing land, and livestock density offering unprecedented insights into the mechanisms driving agricultural expansion and intensification. The mechanisms driving this expansion and their potential impact on contemporary agroecological challenges linked to land use intensification are explored. Our results point to a significant broadening and shifting of land use frontiers offering a historical perspective on agricultural land use. This sets the stage for promoting the analysis of drivers of change and gaining insights into how landscape development could be steered into an environmentally and societally more desirable and sustainable direction tackling present-day agroecological challenges.

Importance of Dark Septate Endophytes in Agriculture in the Face of Climate Change

Climate change is a notable challenge for agriculture as it affects crop productivity and yield. Increases in droughts, salinity, and soil degradation are some of the major consequences of climate change. The use of microorganisms has emerged as an alternative to mitigate the effects of climate change. Among these microorganisms, dark septate endophytes (DSEs) have garnered increasing attention in recent years. Dark septate endophytes have shown a capacity for mitigating and reducing the harmful effects of climate change in agriculture, such as salinity, drought, and the reduced nutrient availability in the soil. Various studies show that their association with plants helps to reduce the harmful effects of abiotic stresses and increases the nutrient availability, enabling the plants to thrive under adverse conditions. In this study, the effect of DSEs and the underlying mechanisms that help plants to develop a higher tolerance to climate change were reviewed.

Relation between the Pandemic COVID-19 and the outbreak of Crimean-Congo Hemorrhagic Fever in Iraq, 2023

Objective: This review examines the link between the COVID-19 pandemic and the outbreak of Crimean-Congo Hemorrhagic Fever (CCHF) in Iraq. Methods: We reviewed literature and data to explore potential associations between the two diseases. Results: No direct causative link between COVID-19 and increased CCHF cases in Iraq was found. However, changes in healthcare,agriculture, and human-animal interactions during the pandemic may have indirectly affected CCHF transmission. Conclusion: This review highlights the need for further research to confirm any connections between the COVID-19 pandemic and CCHFoutbreaks in Iraq. Understanding these links is crucial for effective public health responses to emerging infectious diseases.

Wind Lore as Environmental Knowledge in Southern Vanuatu

Wind lore constitutes an important domain of environmental knowledge in eight cultures of southern Vanuatu (Aneityum, Futuna, Aniwa, Nafe, Naka, Netwar, Nanu, and Nahual). Our study reviews previous studies in Oceania which document wind systems as used primarily for long-distance navigation. The named winds of southern Vanuatu are not merely abstract directional markers, nor primarily for use in navigation, but are closely tied to the local geography, agriculture, health, and seasonal changes. Winds are part of everyday, embodied experience and cognitive-spiritual understanding of the environment. Wind lore is gradually being forgotten, but can still be described in detail by experts. We conclude by situating wind lore within a culture complex that includes knowledge of agriculture, fishing, time-reckoning, and weather magic. Our documentation of these systems is ongoing, and in collaboration with local experts.

Participatory development of Shared Socioeconomic Pathways for Austria’s agriculture and food systems

Agriculture and food systems are central to managing biodiversity loss and climate change. Future changes in agriculture and food systems are highly uncertain and depend on underlying socio-economic developments. Scenarios allow scientists, policy and industry decision-makers to consider such uncertainties and describe a spectrum of plausible futures. The Shared Socioeconomic Pathways for European agriculture and food systems (Eur-Agri-SSPs) semi-quantitatively describe pathways along future challenges for climate change mitigation and adaptation. However, additional or adapted drivers (i.e. scenario elements), like national policies or adaptations of European policies, are relevant to frame plausible future developments at national scales. We aim to set the standard for developing country and sector-specific SSPs in a participatory process by developing and applying an eleven-step protocol and engaging a diverse group of stakeholders throughout the whole research process. By downscaling the Eu-Agri-SSPs to a national level, we contribute to improve their usability in academia, governments and industry. This is achieved by matching qualitative pathways with the needs of integrated land use models (used to simulate land use scenarios), and by quantifying selected drivers for future developments together with stakeholders. In particular, we estimate 20-year trends (2000–2019) and apply fuzzy set theory to quantify ten scenario elements, which are typically required in integrated land use models. The final scenarios describe the semi-quantitative development for 79 scenario elements along the five topics “Population and urbanization”, “Economy”, “Policy and institutions”, “Technology”, and “Environment and natural resources” for the five AT-Agri-SSPs. Exemplary results reveal that stakeholders expect payments for agri-environment-climate measures to increase to 1200 million € in AT-Agri-SSP1 or to decline to 267 million € in AT-Agri-SSP3, 4 and 5. For direct payments, a complete phase-out was specified for AT-Agri-SSP1 and an increase to 711 million € in AT-Agri-SSP3. We discuss 14 lessons learnt and recommendations for future scenario processes and participatory quantification. Recommendations include: tailoring the assignment of scenario elements for quantification to stakeholders’ expertise, keeping survey complexity low, providing historical and relevant SSP data, and encouraging stakeholders to jointly quantify interdependent elements. The AT-Agri-SSPs can inform policy-making, decision-making in industry, and research on the agriculture and food systems.

Spatial-Temporal Evolution and Influencing Factors of Animal Husbandry Carbon Emissions: A Case Study of Shandong Province, China

To further study the spatial distribution and dynamic evolution of carbon emissions from animal husbandry in Shandong Province, the panel data of 16 prefecture-level cities in Shandong Province from 2001 to 2022 were used to measure the carbon emissions of animal husbandry and the carbon emission intensity of animal husbandry. Based on the combination of space, kernel density estimation, and LMDI decomposition model, the spatial and temporal evolution of carbon emissions from animal husbandry in Shandong Province and its driving factors were investigated. The results show that: (1) The total amount of animal husbandry carbon emissions in Shandong Province showed a fluctuating downward trend, with a decrease of 10.10% during the investigation period, showing a peripheral-agglomeration distribution pattern. The carbon emission intensity showed a gradual downward trend, with an average annual decline of 7.47%, showing stepped distribution characteristics of high in the west and low in the east. (2) The difference in carbon emissions of animal husbandry among cities in Shandong Province increased first and then decreased, and the growth distribution was basically in the form of “bimodal”, showing a polarization pattern. (3) The intensity effect has the most obvious inhibitory effect on the carbon emission of animal husbandry; the effect of agricultural structure changes from a promoting effect to an inhibiting effect. The inhibitory effect of the industrial structure effect is second only to the intensity effect; the economic effect has the greatest promoting effect; and the promotion effect of the population size effect is small.

Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset

Tropical cyclones strike massive devastation of agricultural crops in South Asian countries practically every year. For assessing impacts on primary land use and land cover (LULC) classes of Patuakhali district in Bangladesh, this study utilized the Landsat-8 image dataset to compute change detection indices of a consistent cyclone landfall period in the late rainy season (October and November). Different stage of cyclones based on their wind speed (km/h) were also analyzed to explore agricultural crop change detection due to the tropical cyclone (TC) Bulbul (made landfall on November 9th, 2019). Three years later, cyclone Sitrang made landfall on October 24th, 2022, and was employed for the test results that the Bulbul's rice growth vegetation index (RGVI)-CD trained in the study's machine learning (ML) system. Therefore, the objective of this study was to determine rice crop changes from RGVI due to a cyclone (Bulbul) to evaluate growth change status by another cyclone (Sitrang) using machine learning system. In Patuakhali district, the rice crops were damaged mainly and affected in classification as moderately changed detected (MCD) 26.07%, very changed detected (VCD) 48.83%, and extremely changed detected (ECD) 17.73% in total agricultural lands area (1548.93 km2). It was also significantly monitored for the rice crops to change as rice growth vegetation index (RGVI)-CD related to cyclone wind speed (km/h), DEM, distance from the rivers, and shorelines. From the result, the symmetric regression of coefficient (R2) of (i) linear regression, (ii) fine tree, (iii) support vector machine, (iv) ensemble boosted trees, and (v) trilayered neural network were obtained 0.735, 0.734, 0.737, 0.756 and 0.736 as good-fitted test outcomes respectively. Applying the five machine learning models that were created from cyclone Sitrang, it was discovered that the test set in this system was accurate to the observed forecast with acceptable RMSE and MAE values. Therefore, study can be helpful for researchers creating new damaged and yield loss area assessment policies to help TC-affected farming communities, especially rice growers, prepare an effective emergency response plan for their socioeconomic needs fulfillment in the changing climate perspectives for attaining sustainable development.

Examining the Density Gradient Along the Rhizophora mangle Propagule

Mangroves grow in tropical regions around the globe, but these dense forests have been declining due to agriculture, industry, and climate change. Mangrove propagules are not seeds but the seedlings themselves that grow on the parent tree until they reach maturity and fall. They are water dispersed, floating horizontally in seawater and vertically in brackish water. The purpose of this study was to further investigate whether there is a gradient change in density longitudinally along the Rhizophora mangle propagule that results in this floatation behavior.  This study also explored whether there was a difference in density between the medulla and the cortex within the propagule.   Propagules were cut into one-centimeter sections and placed in a pycnometer to calculate their density. The average densities of these categories were graphed and had a correlation coefficient of 0.6036 showing a strong positive correlation. The medulla, or inner ring, was removed from the cortex and placed in water to determine if there was a difference in buoyancies. In the plumule end of the propagule, both the medulla and cortex floated. Towards the radicle end of the propagule, the cortex would sink while the medulla would continue to float. The research raises the question if there is a difference between the cortex in the radicle end and the cortex in the plumule end but supports the idea that there is a change in density along the propagule longitudinally that plays a role in the buoyancy of the mangrove propagules.

Nano Fertilizers: New Vistas towards Sustainable Agriculture and Climate Change Mitigation: A Review

To ensure the food and nutritional security of the burgeoning global population, food production needs to be doubled in developing countries by 2050. Currently, 30-40% of agriculture production predominantly relies on chemical fertilizers. Precise crop nutrition, low nutrient efficiency, maintaining soil fertility, less damage to soil flora and minimal environmental footprint are the major challenges in modern agriculture. Recent developments in the application of nanotechnology to produce agriculture inputs emerged as a sustainable solution for addressing the challenges in modern intensive agriculture by replacing synthetic bulk fertilizers with their nanoparticle size ( less than 100 nm), superior properties and smart delivery system. Nano fertilizers had the potential to fulfill the requirements of plant nutrition along with imparting sustainability in crop production without compromising the yield of the crops. Some of the current research studies have been reviewed in this paper with citation and these results showed that nano fertilizers have a substantial effect on plant growth, development and physiological parameters including chlorophyll content and photosynthetic activity, it depends on their composition, method and time of application. Their enhanced nutrient use efficiency, correlated with mitigating greenhouse gas emissions. Hence evolving as a cutting-edge approach for sustainable agriculture in climate change is enlightened in this review.

Remote Sensing and AI-based Monitoring of Legume Crop Health and Growth

Background: For the enhancement of agricultural productivity, while ensuring sustainability, this study delves into the under-explored domain of monitoring legume crop health and growth. Traditional methods of crop assessment encounter limitations, prompting a push for innovation by integrating advanced remote sensing technologies and artificial intelligence (AI). The purpose is to revolutionize crop assessment techniques and overcome existing constraints. Methods: The data was collected using a combination of satellite imagery and ground-based sensors, resulting in a rich repository of multispectral and spatial information. By using the capabilities of AI, a robust model was developed to interpret the gathered data, offering a detailed insight into the health and growth dynamics of legume crops. The AI algorithms not only identify anomalies but also forecast future states, facilitating timely interventions and informed decision-making in agriculture. Result: The findings of this study signify a significant change in precision agriculture, where the synergy of remote sensing and AI optimizes resource allocation, minimizes environmental impact and maximizes crop yields. The research unlocks the potential to transform legume farming practices, promoting sustainability and ushering in an era of data-driven cultivation. The implications extend beyond the legume crop sector, influencing the broader agricultural landscape with the promise of more efficient and sustainable practices.

How has the rural digital economy influenced agricultural carbon emissions? Agricultural green technology change as a mediated variable

Digital economy is being closely integrated with agricultural development and tapping into its unique potential to alleviate agriculture’s carbon emissions To explore the mechanism of how digital economy reduce the agricultural carbon emissions, this paper constructs a systematic evaluation method with extend STIRPAT model and panel data drawn from 29 provinces (or municipalities and autonomous regions) in the Chinese mainland from 2013–2020. The results show that the development of the rural digital economy has a significant negative influence on agricultural CEs, and this result is still valid given robustness tests. Second, the alleviation of CEs based on the rural digital economy is more significant in the higher technological investment zones than that in the lower technological investment zones, and the central and eastern regions also have more significant CEs reduction effect. Third, the influence mechanism analysis shows that agricultural green technology change is an effective means to promote the rural digital economy’s CEs reduction effect. This paper not only provide new empirical evidence for understanding nexus between digital economy and agricultural carbon reduction, but also give constructive policy implication to improve agricultural green development.

Analysis of Endangered Andalusian Black Cattle (Negra Andaluza) Reveals Genetic Reservoir for Bovine Black Trunk.

This comprehensive study on the Andalusian Black cattle breed reveals a substantial population decline, with the average herd size decreasing significantly from 305.54 to 88.28 animals per herd. This decline is primarily attributed to agricultural changes and the introduction of foreign meat-focused breeds. The male-to-female ratio shift is noteworthy, with more cows than bulls, impacting selection intensity for both genders. Inbreeding levels, though relatively low historically (5.94%) and currently (7.23%), raise concerns as 37.08% historically and 48.82% currently of the animals exhibit inbreeding. Positive assortative mating is evident, reflected by the increasing non-random mating coefficient (α). Key ancestors play a crucial role in shaping genetic diversity, with one ancestor significantly influencing the current genetic pool and the top 10 ancestors contributing substantially. Breed maintains a conservation index of 2.75, indicating relatively high genetic diversity. Recent conservation efforts have led to an increase in registered animals. The Cañadas Reales, historical transhumance routes, may have contributed to genetic connections among provinces. Challenges include the historical bottleneck, demographic changes, and potential impacts from reproductive practices. The Andalusian Black breed's conservation necessitates ongoing efforts in genealogical registration, targeted breeding programs, and collaborative initiatives to address the observed demographic shifts and ensure sustainable genetic diversity.

Light recovery after maize harvesting promotes soybean flowering in a maize-soybean relay strip intercropping system.

Moving from sole cropping to intercropping is a transformative change in agriculture, contributing to yield. Soybeans adapt to light conditions in intercropping by adjusting the onset of reproduction and the inflorescence architecture to optimize reproductive success. Maize-soybean strip intercropping (MS), maize-soybean relay strip intercropping (IS), and sole soybean (SS) systems are typical soybean planting systems with significant differences in light environments during growth periods. To elucidate the effect of changes in the light environment on soybean flowering processes and provide a theoretical basis for selecting suitable varieties in various planting systems to improve yields, field experiments combining planting systems (IS, MS, and SS) and soybean varieties (GQ8, GX7, ND25, and NN996) were conducted in 2021 and 2022. Results showed that growth recovery in the IS resulted in a balance in the expression of TERMINAL FLOWER 1 (TFL1) and FLOWERING LOCUS T (FT) in the meristematic tissues of soybeans, which promoted the formation of new branches or flowers. IS prolonged the flowering time (2-7 days) and increased the number of forming flowers compared with SS (93.0 and 169%) and MS (67.3 and 103.3%) at the later soybean flowering stage. The higher carbon and nitrogen content in the middle and bottom canopies of soybean contributed to decreased flower abscission by 26.7 and 30.2%, respectively, compared with SS. Canopy light environment recovery promoted branch and flower formation and transformation of flowers into pods with lower flower-pod abscission, which contributed to elevating soybean yields in late-maturing and multibranching varieties (ND25) in IS.

Preface

The 3rd International Conference on Agriculture and food sustainability (The 3rd ICAFOSY 2023) The 3rd INTERNATIONAL CONFERENCE ON AGRICULTURE AND FOOD SUSTAINABILITY (The 3rd ICAFOSY 2023) marked a significant milestone in the pursuit of global efforts to address the challenges facing food systems and nutritional security in the wake of climate change, particularly in developing countries. With its overarching theme, “Enhancing the resilience of food systems for food and nutritional security under climate change,” The conference united academics, researchers, specialists, policymakers, and practitioners committed to advancing sustainable agricultural practices.At the heart of this collective endeavor, the conference served as a dynamic platform for exchanging ideas, cutting-edge research findings, and innovative solutions. Delegates explored various dimensions of the conference’s focus and scopes, ranging from adaptation, mitigation, and resilience strategies to climate-smart agriculture adoption and the intricate interplay between climate change and agriculture. Participants engaged in fruitful discussions on topics such as bioenergy for sustainable agriculture, climate change education for social transformation, and governance strategies for ensuring food security in the face of climate challenges.A moment of reflection and gratitude is extended to all the colleagues and participants whose dedication and expertise contributed to the success of the 3rd ICAFOSY 2023. The collaborative spirit exhibited during the conference underscored the importance of interdisciplinary approaches in addressing the complex and multifaceted issues surrounding agriculture, food sustainability, and climate change. The collective wisdom and shared experiences of our colleagues have undoubtedly enriched the dialogue and propelled us closer to actionable solutions for a more resilient and sustainable future.The 3rd ICAFOSY held on October 30-31, 2023, the conference found its home in the Main Hall of the Department of Agricultural Socio-economic Building, 3rd Floor, Universitas Brawijaya, Malang, East Java, Indonesia. The hybrid format of the event allowed for both in-person and virtual participation, enabling a global audience to engage in the discussions and contribute to the conference’s goals. The unique blend of physical and virtual interactions fostered a sense of global collaboration, transcending geographical boundaries to address the challenges posed by climate change to agriculture and food sustainability.Finally, the resounding success of the 3rd ICAFOSY 2023 would not have been possible without the unwavering support and commitment of the Department of Agricultural Socio-economic, Faculty of Agriculture, Universitas Brawijaya.List of Editor, Technical Programme Committee are available in this pdf.

The analysis of changes in land management indicators over 30 years considering the food security of the country

The overarching aim of ensuring the country's food security is providing of the country's population with wholesome, quality-assured and available agriproduct, raw materials and food in volumes that ensure rational food consumption criteria. One of the central objectives of ensuring food security, whether external and internal conditions change or not, is the sustainable development of agriproduct, raw materials and food, sufficient to provide food sovereignty predicated on the principle of research-backed planning. Using the example of some regions of the Russian Federation, a look-back study of agricultural land use and changes in land management activities over a 30-year period was carried out, and the measures for rational land use organization.