Regional Agricultural Development Research Articles

Improvement of Climate Resource Utilization in the Southwestern Hilly Region through the Construction of a New Multi-Maturing Cropping System

The construction of an appropriate cropping pattern is crucial for the improvement of regional agricultural economic efficiency and sustainable development. Despite previous efforts, there remains a gap in optimizing cropping patterns that fully leverage climate resources to enhance production efficiency. This study addresses this gap by systematically comparing the differences in climate resource allocation, production efficiency and crop response among models by constructing four new triple-maturing cropping models at typical ecological sites in the hilly areas of southwest China. To solve the above problems, we constructed eight cropping patterns and classified them to three as follows: the Traditional Double Cropping System, the Traditional Triple Cropping System, the Novel Triple Cropping System. The results showed that the new multi-maturing planting pattern was significantly better than the traditional two-maturing netting pattern and the traditional three-maturing planting pattern in terms of light, temperature and water productivity. Compared with the traditional two-maturity net cropping model and the traditional three-maturity cropping model, the new cropping model increased light energy productivity by 97.88% and 50.00%, respectively; light energy use by an average of 0.48% and 0.31%; cumulative temperature productivity by an average of 84.70% and 49.14%; and rainfall productivity by an average of 101.04% and 49.61%. An assessment of the light, temperature and water meteorological resource use efficiency of the different treatments showed that the resource use efficiency of the new multi-maturing planting pattern was on average 111.58% and 74.78% higher than that of the traditional two-maturing net planting pattern and the traditional three-maturing planting pattern, with the T6 pattern having the highest resource use efficiency. The new multi-ripening cropping pattern has demonstrated production stability in response to changes in light, temperature and water resources, better adapting to weekly climate changes, stabilizing yields and improving efficiency. In summary, the results of this study can provide a theoretical basis for optimizing cropping patterns and promoting the use of climate resources in agriculture and sustainable development. Future research should focus on further refining these models, exploring their adaptability to various climatic conditions, and evaluating their long-term economic and environmental impacts.

Mulching Practices Improve Soil Moisture and Enzyme Activity in Drylands, Increasing Potato Yield

Mulch is an important measure for improving agricultural productivity in many semiarid regions of the world. However, the impacts of various mulching materials on soil hydrothermal characteristics, enzyme activity, and potato yield in fields have not been comprehensively explored. Thus, a two-growing-season field experiment (2020–2021) with four treatments (SSM, straw strip mulching; PMP, plastic film mulching with large ridge; PMF, double ridge-furrow with full film mulching; and CK, no mulching with conventional planting as the control) was conducted to analyze soil hydrothermal and soil enzyme activities and potato yield on the semiarid Loess Plateau of Northwest China. The results indicated that mulching practices had a positive effect on the soil moisture, with SSM, PMP, and PMF increasing by 7.3%, 9.2%, and 9.2%, respectively, compared to CK. Plastic film mulching significantly increased the soil temperature by 1.3 °C, and straw mulching reduced the soil temperature by 0.7 °C in the 0–30 cm soil layers of the whole growth period. On average, SSM, PMP, and PMF increased soil urease activity in 0–40 cm soil layers by 14.2%, 2.8%, and 2.7%, respectively, and enhanced soil sucrase activity by 19.2%, 8.6%, and 5.7%, respectively, compared with CK. Plastic film mulching increased soil catalase activity by 9.6%, while SSM decreased by 10.1%. Mulching treatments significantly increased tuber yield and water use efficiency based on dry tuber yield (WUE), and SSM, PMP, and PMF increased tuber yield by 18.6%, 31.9%, and 29.7%, enhanced WUE by 50%, 50%, and 57.0% over CK. The correlation analysis revealed that soil moisture was the main factor influencing tuber yield (r = 0.95**). Mulching could improve the soil hydrothermal environment, regulate soil enzyme activities, and promote yield increase. As a sustainable protective mulching measure, straw strip mulching is conducive to improving the ecological environment of farmland and the sustainable development of regional organic agriculture.

The State of Agricultural Development and Industrial Prosperity Pathway and Strategy Design in the Context of Data-Driven and Rural Revitalization

Current advances in materials science are providing a huge variety of novel adsorbents that could be used for the transformation and storage of low-temperature heat, such as the heat generated by renewable energy sources.Achieving industrial prosperity is a key step in building an all-round well-off society and realizing agricultural modernization. In the process of industrial prosperity, there are also many problems: firstly, the long-term traditional farming in China has led to the information blockage and ideological constraint of most farmers in China, so that they are slow to accept new things and new ideas; secondly, due to the "one long and one short" characteristic of long growth cycle and short storage cycle of agricultural products, it is difficult for rural transportation and deep processing of agricultural products. Secondly, because of the "long and short" nature of the long growth cycle and short storage cycle of agricultural products, the demand for rural transportation and deep processing of agricultural products is high. This study is based on the problems related to sustainable agricultural development in traditional agricultural areas. The main purpose of this study is to clarify the sustainable development status of agricultural systems under different agricultural development paths in traditional agricultural areas, to establish a methodological system for studying regional agricultural development paths, to explore the optimal path for sustainable regional agricultural development, and orderly management of sustainable agricultural development in traditional agricultural areas, so as to promote the sustainable development of traditional agricultural areas with economic prosperity, social stability and ecological health. The experimental results prove that the optimized SGA algorithm has carried out good system dynamics modeling for the typical traditional agricultural area - the problem of choosing the agricultural development path, and the comprehensive evaluation of the simulation results.

Research on Drought Monitoring Based on Deep Learning: A Case Study of the Huang-Huai-Hai Region in China

As climate change intensifies, drought has become a major global engineering and environmental challenge. In critical areas such as agricultural production, accurate drought monitoring is vital for the sustainable development of regional agriculture. Currently, despite extensive use of traditional meteorological stations and remote sensing methods, these approaches have proven to be inadequate in capturing the full extent of drought information and adequately reflecting spatial characteristics. Therefore, to improve the accuracy of drought forecasts and achieve predictions across extensive areas, this paper employs deep learning models, specifically introducing an attention-weighted long short-term memory network model (AW-LSTM), constructs a composite drought monitoring index (CDMI) and validates the model. Results show that: (1) The AW-LSTM model significantly outperforms traditional long short-term memory (LSTM), support vector machine (SVM) and artificial neural network (ANN) models in drought monitoring, offering not only better applicability in meteorological and agricultural drought monitoring but also the ability to accurately predict drought events one month in advance compared to machine learning models, providing a new method for precise and comprehensive regional drought assessment. (2) The Huang-Huai-Hai Plain has shown significant regional variations in drought conditions across different years and months, with the drought situation gradually worsening in the northern part of Hebei Province, Beijing, Tianjin, the southern part of Huai North and the central part of Henan Province from 2001 to 2022, while drought conditions in the northern part of Huai North, southern Shandong Province, western Henan Province and southwestern Hebei Province have been alleviated. (3) During the sowing (June) and harvesting (September) periods for summer maize, the likelihood of drought occurrences is higher, necessitating flexible adjustments to agricultural production strategies to adapt to varying drought conditions.

Drought Risk Assessment of Winter Wheat at Different Growth Stages in Huang-Huai-Hai Plain Based on Nonstationary Standardized Precipitation Evapotranspiration Index and Crop Coefficient

Soil moisture plays a crucial role in determining the yield of winter wheat. The Huang-Huai-Hai (HHH) Plain is the main growing area of winter wheat in China, and frequent occurrence of drought seriously restricts regional agricultural development. Hence, a daily-scale Non-stationary Standardized Precipitation Evapotranspiration Index (NSPEI), based on winter wheat crop coefficient (Kc), was developed in the present study to evaluate the impact of drought characteristics on winter wheat in different growth stages. Results showed that the water demand for winter wheat decreased with the increase in latitude, and the water shortage was affected by effective precipitation, showing a decreasing trend from the middle to both sides in the HHH Plain. Water demand and water shortage showed an increasing trend at the jointing stage and heading stage, while other growth stages showed a decreasing trend. The spatial distributions of drought duration and intensity were consistent, which were higher in the northern region than in the southern region. Moreover, the water shortage and drought intensity at the jointing stage and heading stage showed an increasing trend. The drought had the greatest impact on winter wheat yield at the tillering stage, jointing stage, and heading stage, and the proportions of drought risk vulnerability in these three stages accounted for 0.25, 0.21, and 0.19, respectively. The high-value areas of winter wheat loss due to drought were mainly distributed in the northeast and south-central regions.

Framework of land use planning for an energy producing city of Northwest China based on water-energy-food nexus

The development of cities and their industries is constrained by the water-energy-food nexus (WEF nexus) formed under certain biophysical conditions. Urban-scale WEF nexus research is very different from macroscale (global or national) research. There is a need for quantitative optimization of several economic sectors, as well as spatial heterogeneity of resource endowments, to develop policies that are distinctive for different levels of endowments. Currently, China is implementing Territorial Spatial Planning (TSP) at all administrative levels throughout the country. Its theoretical basis is to realize the overall management of urban ecological protection land, urban expansion, and industrial growth by measuring the resource carrying capacity and land development suitability of each plot. This provides an opportunity to explore the interconnections between WEF nexus at urban scale by examining the wide range of urban resource availability. Here, we propose the WEF-TSP framework, which helps to realize the multi-objective development needs of regional ecological protection, urban expansion, agricultural development, and energy production in a certain city and provides a decision-making basis for future urban land spatial planning. Ordos, a city in China recognized for its significant energy reserves, has been selected as the subject of a case study. Combined with the spatial heterogeneity of Ordos's resource endowment and focusing on the strong constraints of water resources and ecological protection, this study explores the urban land spatial layout scheme of Ordos in 2030 under different energy development scenarios. It can also provide a reference for other cities in China and even the world to study the spatial layout of urban land use and industrial development based on the WEF nexus.

The Relationship between Climate, Agriculture and Land Cover in Matopiba, Brazil (1985–2020)

Climate change has been at the forefront of discussions in the scientific, economic, political, and public spheres. This study aims to analyze the impacts of climate change in the Matopiba region, assessing its relationship with land cover and land use, soybean crop production and yield, and ocean–atmosphere anomalies from 1985 to 2020. The analysis was conducted in four parts: (1) trends in annual and intra-annual climate changes, (2) the spatiotemporal dynamics of land cover and use, (3) the spatiotemporal dynamics of soybean production and yield, and (4) the relationship between climate change, agricultural practices, land cover and use, and ocean–atmosphere anomalies. Statistical analyses, including Mann–Kendall trend tests and Pearson correlation, were applied to understand these relationships comprehensively. The results indicate significant land cover and use changes over 35 years in Matopiba, with municipalities showing increasing soybean production and yield trends. There is a rising trend in annual and intra-annual maximum temperatures, alongside a decreasing trend in annual precipitation in the region. Intra-annual climate trends provide more specific insights for agricultural calendar planning. No correlation was found between the climate change trends and soybean production and yield in the evaluated data attributed to genetic and technological improvements in the region. The North Atlantic Ocean shows a positive correlation with soybean agricultural variables. Evidence suggests soybean production and yield growth under climate change scenarios. This study highlights soybeans’ adaptation and climate resilience in the Matopiba region, providing valuable insights for regional agricultural development and contributing to further research in environmental, water-related, social, and economic areas of global interest.

Preface

4th International Interdisciplinary Conference on Green Development in Tropical Regions (4th IICGDTR) “Governance Challenges of Green Development in Tropical Asia” Virtual Conference The Graduate Program – Universitas Andalas, West Sumatera, Indonesia 7 – 8 July 2021 The 4th International Interdisciplinary Conference on Green Development in Tropical Regions (4th IICGDTR) has successfully held virtually on 7 – 8 July 2021 organized by the Graduate Program, Universitas Andalas, West Sumatera, Indonesia.IICGDTR is the biannual international conference on Green Development in Tropical Region (ICGDTR). This 2021 conference is the 4th interdisciplinary ICGDTR which held virtually due to the covid-19 pandemic, with the theme “Governance Challenges of Green Development in Tropical Asia”. The main objective of this international conference is to enhance the discourse and discussion on various aspects of green development in tropical regions, especially on the issue of governance challenges of green development in tropical regions.Since the early 21st century, conventional development strategies have been questioned by various development analysts, especially those concerned with issues and conflicts surrounding its environmental, human and socio-economic impacts. The debate on issues surrounding degradation of natural resources, forest, coastal, and agricultural land, along with understanding climate change, has led to the new proposition of the green development paradigm. The conceptual understanding of the green development paradigm is concerned with the strategy and planning of all aspects including environmental planning, rural and urban planning, regional development planning, agriculture and industrial development planning.The tropical region of Asia, covering South, Southeast, and part of East Asia, is a region with a large population, rich biodiversity, and also high growth. More importantly, this is a culturally rich region. Tropical Region of Asia (TRA) is the most dynamic region and is in a constant effort to balance its development path. Much of the region’s economic growth is supported by the exploitation of common-pool natural resources, i.e., forest, land, water. Agriculture is still a dominant livelihood strategy with very slow technological adoption. But the region also utilizes its ecosystem services for the tourism sector to diversify livelihood. Rural and urban development is still not balanced but instead is urban biased. Unfortunately, housing and settlement development in urban areas sometimes threatens agricultural land.List of Committee is available in this Pdf.

Measurement of Agricultural Eco-Efficiency and Analysis of Its Influencing Factors: Insights from 44 Agricultural Counties in Liaoning Province

Agricultural eco-efficiency (AEE) considers economic and environmental benefits and is a key indicator of green agricultural development. To achieve the multiple goals of improving agricultural production efficiency, reducing agricultural environmental damage, and reducing the input of agricultural resources, this study enriches the case study of agricultural production performance evaluation at the county level by measuring the AEE of 44 agricultural counties in Liaoning Province based on panel data and a super-efficient slacks-based measure model including undesired outputs. A two-way fixed-effects model was used to analyze the impact of agricultural development, macro-environment, and policy support on AEE. We found that the average AEE of the counties in Liaoning Province in 2014, 2016, 2018, and 2020 was 0.716, 0.735, 0.749, and 0.813, respectively, indicating a cumulative improvement rate of 13.55%. The average AEE levels gradually improved during the study period. Notably, the development of AEE among the counties was uneven. AEE was distributed in a “block-like” manner, and its local correlation presents a phenomenon of “small agglomeration and large dispersion”. In addition, the level of the agricultural economy, industrialization, and urbanization significantly promoted the improvement of AEE, and the promoting effects varied between different income levels and regions. Therefore, Liaoning Province needs to improve the AEE of each county according to local conditions and narrow the differences in AEE between counties. To continuously improve the level of rural economic development, lead the development of agricultural modernization with new urbanization, and comprehensively improve the overall AEE of counties. The research results are of guiding significance for deepening the study of AEE and can provide decision-making support for optimizing the mode of agricultural production and promoting the green development of regional agriculture.

Trends and driving forces of agricultural carbon emissions: A case study of Anhui, China.

To facilitate accurate prediction and empirical research on regional agricultural carbon emissions, this paper uses the LLE-PSO-XGBoost carbon emission model, which combines the Local Linear Embedding (LLE), Particle Swarm Algorithm (PSO) and Extreme Gradient Boosting Algorithm (XGBoost), to forecast regional agricultural carbon emissions in Anhui Province under different scenarios. The results show that the regional agricultural carbon emissions in Anhui Province generally show an upward and then downward trend during 2000-2021, and the regional agricultural carbon emissions in Anhui Province in 2030 are expected to fluctuate between 11,342,100 tones and 14,445,700 tones under five different set scenarios. The projections of regional agricultural carbon emissions can play an important role in supporting the development of local regional agriculture, helping to guide the input and policy guidance of local rural low-carbon agriculture and promoting the development of rural areas towards a resource-saving and environment-friendly society.

Spatial-temporal distribution pattern and driving factors of agricultural carbon sinks in Beijing-Tianjin-Hebei region from the perspective of carbon neutrality

AbstractDeveloping policies to reduce carbon emissions in agriculture is crucial for achieving the ‘dual carbon’ goal. Therefore, scientifically analysing the temporal and spatial distribution characteristics of agricultural carbon sinks and their driving factors holds paramount importance for the coordinated and integrated development of regional agriculture and the realization of sustainable development. Based on the perspective of carbon cycle in agricultural production, the measurement system of agricultural net carbon sink was established from the perspective of carbon sink/carbon source, this study conducted an analysis of the temporal and spatial variation characteristics as well as driving mechanisms of agricultural net carbon sinks. The findings are as follows: (1) The agricultural net carbon sink exhibited an increasing trend from 2009 to 2020, with favourable intensity and level. (2) Agricultural land use and livestock and poultry production constituted the primary sources of agricultural carbon emissions. Notably, agricultural carbon emissions demonstrated a decreasing trend during the study period. (3) The net agricultural carbon sink displayed local spatial aggregation, indicating significant regional differences. (4) Factors such as rural economic level, urbanization level and agricultural employment significantly promoted the net carbon sink. In contrast, the rural industrial structure, technical level and crop seeding had inhibitory effects. Therefore, it is imperative to promote the reduction of agricultural carbon emissions in the Beijing-Tianjin-Hebei region. This entails accelerating the construction of new agriculture and rural areas, facilitating industrial upgrading, promoting the development of low-carbon-sink regions into high-carbon-sink regions and actively fostering the coordinated and integrated development of regional agriculture.

Research on the Current Situation and Countermeasures of Regional Ecological Agriculture Development in Shaanxi Province

The vigorous development of regional ecological agriculture in Shaanxi Province can effectively solve the problems of resource utilization and environmental protection, promote the adjustment of rural industrial structure and rural revitalization. In order to further promote the development of ecological agriculture in Shaanxi Province, this article focuses on the current situation of regional ecological agriculture development in Shaanxi Province, analyzes the problems existing in the development of regional ecological agriculture in Shaanxi Province, and conducts in-depth analysis from three levels: resource allocation, government supervision, and technological development. It explores the path of sustainable development of ecological agriculture and proposes effective measures to promote the healthy, harmonious, and sustainable development of ecological economy in Shaanxi Province. It also provides ideas and references for the development of ecological agriculture in other regions of China.

Measurement of the level of high-quality agricultural development and analysis of spatial differences - An empirical study based on panel data in the Yangtze River Delta region

In the context of China entering the overlapping period of common prosperity and rural revitalization, rural revitalization under the vision of common prosperity is an important practical issue, and improving the utilization rate of agricultural resources is conducive to exploring the optimal path of improving the utilization efficiency of arable land resources, realizing the modernization of agriculture and assisting in rural revitalization. Based on the panel empirical data in the Yangtze River Delta region, this study firstly summarizes the research hotspots and trends of "high-quality development of agriculture" at home and abroad. Secondly, based on the relevant theories, we construct a theoretical framework for measuring the level and spatial differentiation of "high quality of agriculture", which contains "two sides and five basic dimensions". Then, the stata stepwise regression method is used to eliminate highly correlated variables, establish a comprehensive indicator system for measuring the trend of "regional agricultural production system and yield high quality development", and utilize the entropy value method to measure the trend of regional change in the comprehensive agricultural industry. Combining the five basic agricultural dimensions, analyze what factors affect the level of high-quality development of agriculture and spatial distribution differences. Combining the results of the analysis of the factors affecting the level of high-quality development and spatial differences in agriculture, we will draw a conclusion on the sustainable development of agriculture, and provide an appropriate way of operation for the strategy of high-quality integrated development of agriculture in the Yangtze River Delta region.

The concept of agricultural development in region with environmental constraints (based on the materials of the Republic of Buryatia)

The concept of agricultural development in region with environmental constraints (based on the materials of the Republic of Buryatia)

Spatiotemporal variation of the major meteorological elements in an agricultural region: A case study of Linyi City, Northern China

<abstract> <p>Evaporation is a key element of the water and energy cycle and is essential in determining the spatial and temporal variations of meteorological elements. In particular, evaporation is crucial for thoroughly understanding the climate variations of a region. In this study, we discussed evaporation, precipitation, and temperature by adopting Linyi City in Shandong Province, China, which is an important agricultural region, as a research case. Linear regression analysis, the empirical orthogonal decomposition function, and the Morlet wavelet function were used to reveal the trends, spatiotemporal modes, and multi-time scale characteristics of the three climate factors and provide a theoretical basis for the efficient use of climate resources in the future development of regional agriculture. Results showed that the precipitation (2.09 mm/a) and temperature (0.04 ℃/a) in Linyi City exhibited a synchronous growth trend. Conversely, evaporation (−6.47 mm/a) showed a decreasing trend and the evaporation paradox because of the considerable decrease in evaporation energy. Regional development of water-consuming agriculture in consideration of global warming is a key point for improving water use efficiency in Linyi City. In terms of spatial distribution, precipitation was dominated by the first mode wherein low precipitation was observed at the early stage, and high precipitation occurred at the late stage. The first mode was supplemented by the second mode wherein an inverse phase change occurred in the southeast-northwest direction. Large interannual fluctuations were observed only in Yinan County. Temperature exhibited a pattern of warming change with high homogeneity. Evaporation demonstrated obvious heterogeneity and was dominated by two major modes, and the difference in evaporation between Junan County and the other regions of Linyi City was large. Therefore, the local regional climate changes in Yinan and Junan should be given attention. All three meteorological elements showed interannual and interdecadal variations in the short (5 a), medium (16 a), and long (25 a) terms, with precipitation, temperature, and evaporation dominated by 16 a, 24 a, and 31 a, respectively. In the short-term future, the regional precipitation and temperature in Linyi will experience decrements that are above the multiyear average, and evaporation will increase to above the multiyear average. Given the changing trends of precipitation, temperature, and evaporation, urgent requirements for the regional development of efficient water-saving irrigation and the promotion of digital agriculture should be proposed.</p> </abstract>

Using animal productivity in programming regional agricultural development

The article discusses the issue of optimizing the process of programming the development of agriculture in terms of livestock breeding based on the potential productivity in dairy cattle breeding. As is known, a significant part of the milk obtained from cows is formed due to the genetic characteristics of the animals. Therefore, the fastest result in increasing productivity can be achieved through the intensification of targeted breeding work. This is precisely what the state needs to focus on when leaving programs for the development of the agro-industrial complex. Increasing the genetic potential of a region (territory) and its use should be the basis for drawing up targeted programs. The purpose of the study is to formulate the concept of the genetic potential of the region and determine the possibility of increasing it through commodity lending. Among the instruments of state support for agriculture, the use of commodity lending in livestock farming will make it possible to quickly disseminate favorable breeding achievements throughout the region. For example, in the Samara region, out of 98.8 thousand heads 29.6 thousand cows belong to the population with low genetic potential (29.9%). According to calculations, with minimal financial investments it is possible to completely replace an unproductive herd in the region.

Development of Agriculture in Chinese Peripheral Rural Regions

Introduction. China has passed a long process on its way to the global leadership in industrial sector and services. Accompanied by rapid growth of the regional prosperity is though not equal among the territory of the country. There are several relative peripheral regions with lower population and agricultural predominance. To maintain territorial cohesion a number of top-down measures and bottom-up initiatives are required.
 Purpose. The main purpose of this paper is to analyse the territorial dimensions of maintaining a steady growth of China’s agricultural sector under the condition of the general population increasing and decreasing the share of rural population.
 Methods. The current research was carried out with application of the following methods: analysis and synthesis – to systemize the conceptual mainstream in the field of peripheral development; comparative analysis – to compare the development aspects in different regions of China depending from their urban/rural structure; deductions and inductions – to elaborate the key issues of agriculture development in Chinese peripheral rural regions; tabular and visual methods – for illustration of the research materials.
 Results. The paper overviews the dynamics of the Chinese population during the last 70 years. The urban-rural structure of the population is analysed in a spatial-temporal perspective. Traditional rural regions in China are determined. General overview of agriculture development in China has been done. From the regional perspective, the development reasons and conditions of the nine relatively typical agricultural areas in China are analysed. The trends of agriculture development in Chinese peripheral rural regions are considered.
 Discussion. Despite the great success of China in the fields of agricultural development and poverty reduction in depressed regions, there are aspects that require additional care: a broad area of issues concerning territorial cohesion, sustainable development, public- private cooperation.

2020–2022年三江平原主要农作物种植分布遥感监测数据集

Sanjiang Plain, renowned for its expansive and fertile black soil, serves as a crucial hub for commodity grain production in China. The per capita cultivated land area and per capita grain output in the region are five times the national average. Accurate crop acreage information is of great significance for understanding regional food security and agricultural development planning in Sanjiang Plain. In this paper, we used the Sentinel-2 satellite remote sensing data of time series and the survey data of typical ground features in Sanjiang Plain to screen the feature bands of major crops and typical ground features of surrounding areas. Using the random forest classification algorithm, we extracted the data to produce a dataset of remote sensing monitoring of planting distribution for major crops (rice, corn and soybean) in Sanjiang Plain from 2020 to 2022. Based on field survey data, it has been verified that the overall accuracy of the three crops extraction in 2020, 2021 and 2022 stands at 95.18%, 95.0% and 94.5%, and the Kappa coefficients of these three years are 0.924, 0.925 and 0.919. This dataset can not only offer basic data for the analysis of temporal and spatial changes of crop planting distribution in Sanjiang Plain, but also contribute to informed decision-making in agricultural production management for the region. Furthermore, it can support the development of agricultural informatization as well as the preservation and utilization of black soil resources.

Spatiotemporal Variability in Rainfall Erosivity and Its Teleconnection with Atmospheric Circulation Indices in China

Rainfall erosivity (RE) is a critical factor influencing soil erosion, and soil erosion is closely related to land ecosystem health and long-term sustainable utilization. To ensure regional stable food supply and ecological balance, it is crucial to study the spatiotemporal distribution and influencing factors of RE. This study focuses on China and its three natural regions using daily precipitation data from 611 stations from 1960 to 2020. The study analyses the spatiotemporal changes in RE. Rainfall events were classified as moderate, large, and heavy based on rainfall intensity. The RE contribution from different rainfall levels to the total RE was analyzed, and the key climatic drivers closely linked to RE were identified using random forest. The results demonstrate that (1) on a national scale, RE shows a significant increasing trend, marked by an 81.67 MJ·mm·ha−1·h−1/decade. In the subregions, the Eastern Monsoon Region (EMR) and Qinghai–Tibet Plateau Region (QTR) show a significant increasing trend, with a greater change rate in EMR of 108.54 MJ·mm·ha−1·h−1/decade, and the Northwest Arid Region (NAR) shows a nonsignificant upwards trend. (2) The average RE increases northwest–southeast nationwide, ranging from 60.15 MJ·mm·ha−1·h−1 to 31,418.52 MJ·mm·ha−1·h−1. The RE contribution generated by different rainfall levels to the total RE exhibits spatial variations. The dominant types show that EMR is influenced by heavy RE, NAR is dominated by large RE, and QTR is affected by moderate RE. (3) The REs are associated with teleconnection indices, but the impact of these indices varies in different regions. The Western Hemisphere Warm Pool has the greatest impact on the EMR, while the North Atlantic Oscillation and Atlantic Multidecadal Oscillation are the factors influencing RE in NAR and QTR, respectively. (4) On a national scale, for every 1 mm increase in annual total rainfall, the RE increased by 8.54 MJ·mm·ha−1·h−1, a sensitivity of 8.54 MJ·mm·ha−1·h−1/mm. For the three subregions, there are differences in the sensitivity of RE to changes in annual precipitation. The highest sensitivity is found in EMR, at 8.71 MJ·mm·ha−1·h−1/mm, which is greater than the sensitivity indices in NAR (6.19 MJ·mm·ha−1·h−1/mm) and QTR (3.60 MJ·mm·ha−1·h−1/mm). This study can provide theoretical references for future regional soil erosion prediction and sustainable agricultural development in China.

აგრარული პოლიტიკის ფორმირების რეგიონული გამოწვევები საქართველოში

The modern world has entered an acute phase of irreversible changes and implementation of global economic transformation. In today's situation, a sensible, coherent, flexible and adaptable national economic strategic doctrine created by the state, delineating the proper role and function of the country's regional and agrarian policy, is becoming urgent. The Strategy of Agriculture and Rural Development of Georgia for 2021-2027 considers the creation of competitive products the main objective, however, the single action plan and the service programs available to the Ministry today do not leave the feeling that we have understood all the problems and challenges that arise at different stages, step or phase. Based on the foregoing, it is appropriate to raise the issue of policy options to promote production of agricultural products in the regions. Georgia's agriculture and regional development are moving absolutely haphazardly. It is this kind of inertia that needs to be stopped and urgently reformed and transformed, where the determination of the “rules of the game” of the institutional economy and the activity of regional structures in terms of statistical-analytical and situational-contextual studies become a prerequisite for targeted-program actions and the development of the field. It I safe to say that creating a regional agriculture and rural development strategy is an urgent and at the same time difficult task in today's situation. First of all, the problem is specified in the area of –administrative-territorial system and imperfections of legislation. As for the socio-economic aspects and the range of actions and thematic diversity here encourage us to think creatively and determine the advantages of causal programs. Contemporary world challenges in recent years show even more attention to issues of regionalization and the introduction of decentralization-deconcentration principles in the processes generally. The programs developed in the regions, which should be formed according to the “bottom-up” principle, fall under the institutional order network, because they become a continuation of the centripetal macroeconomic strategy of the government and create the needs of the centrist policy with the help of the principles of the regional economy. It is of the utmost importance that flexible and effective institutional changes appear in the regions, thus we will be able to analyze the resource potential and prospeects of the economy, motivate active behavior, which will replace evolutionary inertia and fragmentation with a complex, structurally-organizationally formed, technical-economically sound policy. The five directions of agricultural production optimization presented in the paper, starting from the land optimization formula and ending with the importance of introducing innovative technologies, are a single complex action module, where each has its own unique function-duty, and it is not unacceptable to disable or ignore them from a business and economical point of view.