Agricultural Development Area Research Articles

Exploring the Coupling Relationship and Driving Factors of Land Use Conflicts and Ecosystem Services Supply–Demand Balances in Different Main Functional Areas, Southwest China

ABSTRACTConflicts between different types of land use, driven by rapid urbanization, are altering ecosystem services supply–demand balances (ESDB), and the reduction of ESDB will threaten regional sustainable development and human welfare. However, there are few studies on the interrelationships and their drivers between land use conflicts (LUCs) and ESDB from a coupling perspective, especially in different main functional areas. Therefore, this study focused on Southwest China. Firstly, the coupling coordination degree model was employed to measure the ESDB‐LUCs relationship and analyze its dynamic changes from 1990 to 2020. Then, the RDA method was used to explore the driving factors of the ESDB‐LUCs relationship in different functional areas (i.e., urban development area (UDA), agricultural development area (APA), and ecological protection area (EPA)). The results show that the LUCs index displayed a downward trend in the SW during 1990–2020, with a decreasing distribution pattern from the northeast to the southwest. The ESDB index exhibited a downward and then upward trend, with an increasing distribution mode from the northeast to the southwest. There was a spatial dependence between LUCs and ESDB. The type of coupling coordination between LUCs and ESDB was dominated by moderate coordination, with the index showing a spatial pattern of UDA > APA > EPA. Among these, the proportion of cropland and the proportion of urban land were the main factors influencing the degree of coordination of the UDA (explanation rate > 80%), showing positive and negative effects, respectively. The proportion of forestland and the proportion of cropland were the main factors influencing the APA and EPA (explanation rate > 70%), with negative and positive effects, respectively. Therefore, mitigating the conflict between cropland and urban land, cropland and forest land is essential to achieve ecosystem balance in the SW.

Schistosomiasis mathematical model in a spatially heterogeneous environment

Schistosomiasis is classified by WHO as a neglected tropical disease. Recent research works have shown that large-scale development projects involving massive population displacement and water irrigation, such as the construction of dams, lakes, and the development of agricultural areas, favour the proliferation of bilharzia. These observations motivate us to propose a reaction–diffusion model to assess the role of the displacements of humans, snails, cercaria, miracidia in the transmission dynamics of Schistosomiasis. The model incorporates a general non-linear contact functions and density-dependent parameters. The aim is to better understanding the role of spatial interactions on the spread of Schistosomiasis, in order to propose appropriate recommendations for the control of that silent threat. We characterize the basic reproduction number R0 of the model. The uniform persistence theory, the maximum principle are used to conduct an in-depth analysis of both the homogeneous and heterogeneous models. Theoretical results are illustrated through numerical simulations.

Mapping the Potential Development of Soybenas Crops Based on Growing Degree Days

The main factors affecting plant growth and yield are soil, climate, and plants. The influence of clime is more than soil on plant growth under certain conditions. The evidence is that some cover vegetation growth conditions are much different even though they grow on the same land. In each distinct place, the harvest time of one type of plant is not the same. One crucial factor that affects this is the daily growth rate or the degree of Growing Degree Days (GDD). Know parameters such as soil type, slope, land use, rainfall, and GDD temperature by using geographic information systems in determining the suitability of agricultural commodity development areas. The study aims to determine the suitability of soybean cropland in West Sumatra based on GDD value. Conducting land suitability analysis using the GDD method through several stages, namely, the classification of soybean land suitability parameters, making a map of soybean plant land suitability in physical characteristics, classifying the GDD value of soybean plants for the West Sumatra region, and making a soybean cropland suitability map based on GDD value. The potential land for soybean cultivation in West Sumatra based on land suitability class, physical characteristics, and GDD value is 555,791.66 hectares in class S1 (very suitable) and an area of 2,313,796.44 hectares in class S2 (appropriate enough). The most optimal planting time for soybean cultivation is in August. Lima Puluh Kota Regency, Pasaman Regency, Sijunjung Regency, and Solok Regency have land suitable for soybean cultivation with more than 200 thousand hectares of areas and are in areas with growing degree days suitable for soybean growth.

Pengabdian Masyarakat Melalui Edukasi Pertanian Berbasis Studi Lapang Pada Subak Sembung Kota Denpasar

Subak Sembung is one of the urban agricultural ecotourism development areas. The main problem for target partners is that there is no identification of food crops, no public information in the implementation of Tri Hita Karana-based subak, and educational spaces that are not representative in field study-based edutourism. The service method is carried out through socialization, training, mentoring, monitoring and evaluation. The implementation of the community service program has been successful in increasing knowledge and skills in developing Subak's tourist attraction through field-based organic farming through tracking tourism package packaging and developing organic farming through the use of compost, liquid organic fertilizer, biopesticides and packaging of tour packages. Thus, through these community service activities, we are able to produce output that increases the income of farmers and local communities in the form of attractive educational tourism packages.

Research on land use pattern change and its influencing factors based on the coupling model: evidence from Zhongshan, China

The change in the land spatial structure affects regional development and stability. In the context of the construction of the Guangdong-Hong Kong-Macao Greater Bay Area, studying the spatial structure changes in its important cities will contribute to the coordinated development of the region. This study uses spatial analysis and coupling models to explore the basic characteristics and evolutionary trends of the land spatial structure in Zhongshan city in 2000, 2011, 2022, and 2035. Through research, it is found that (1) in general, the urban space is divided into different geometric forms by the water network system. The spatial structure of living land is ‘fragmentation-aggregation-aggregation and fragmentation’. (2) Ecological land is concentrated in the southeast and remained relatively stable. Productive land accounts for the largest proportion in Northeast China, becoming the main area of agricultural development. (3) From 2022 to 2035, the area of productive land will increase in different ranges under four scenarios, and the area of productive land will increase the fastest under the urbanization development scenario (UDS). (4) The ecological land area increases only in the ecological protection scenario (EPS), and the area decreases in the other three scenarios. An increase in construction land area occurs in the urbanization development scenario (UDS) and nature development scenario (NDS). (5) The habitat quality of Zhongshan city showed a significant decline from 2000 to 2022. In 2035, the habitat quality will significantly improve in the ecological protection scenario (EPS) and sustainable development scenario (SDS) scenarios, and the ecological regions in Southeast China will be significantly clustered and expanded.

Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN

The North China Plain is an important area for agricultural economic development in China. But water shortages, severe groundwater over-exploitation and drought problems make it difficult to exercise the topographic resource advantages of the plain. Therefore, the precise monitoring of soil moisture is of great significance for the rational use of water resources. Soil characteristics vary in natural farmland ecosystems, crops are constrained by multiple compound stresses and the precise extraction of soil moisture stress is a difficult and critical problem. The long time series was decomposed via complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to obtain different intrinsic mode function (IMF) components, and the statistical descriptors of each component were calculated to realize the precise discrimination of soil moisture stress. A quantitative evaluation model of soil moisture was established, and the different noise addition ratios and modeling types were set respectively to investigate the optimal inversion model. The results showed that: (1) The reconstruction error of the CEEMDAN was small and almost 0; it had a high reconstruction accuracy and was more suitable for the decomposition of the long time series. The first two components, IMF1 and IMF2, were soil moisture stress subsequences, and it could effectively reflect the moisture stress situation. (2) The inversion model performed well when ε was 0.05 and the model type was quadratic, with a coefficient of determination R2 of 0.98, which gave a better fit and less error. (3) The overall soil moisture content in the study area was low, basically in the range of 6.9% to 15.7%, with the central part, especially the south-central part, being the most affected by soil moisture stress, and the overall impact of soil moisture stress showed a decreasing trend from February to May. The utilization of CEEMDAN further enhances the accuracy of soil moisture inversion in agricultural fields, realizing the effective application of remote sensing observation technology and time-frequency analysis technology in the field of soil moisture research.

Applying societal metabolism to characterize water availability, requirement, and scarcity in agriculture. A case study of Mexico

Given the environmental challenges of soil depletion, water scarcity, and resource competition, the agricultural products market demands a continuous increase in annual crop productivity. Nevertheless, it is often overlooked whether there are favorable conditions within the biophysical constraints of the natural system to meet such a requirement. This paper contemplates an integrated analysis that connects the interaction of water-land-food and production value (WLFPV) from the availability, requirement, and scarcity of water based on the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) framework. This study evaluates nine crops (agave, avocado, berries, coffee, figs, native maize, pitaya-pitahaya, critical banana, and vanilla) of high commercial value from the central-eastern region of Mexico to obtain their metabolic profiles and answer this question. For this, relative water stress index (RWSI) was used as well as intensity and metabolic density indicators for each crop. The findings were then visualized and communicated through maps. The results indicate that: (1) The annual available water satisfies the total water requirement of the crops of 1,782.6 hm3, planted in 276,965 hectares that produce 803,191 tons of food with a value of 165.2 million USD. (2) 65% of the area dedicated to the production of agave, pitaya-pitahaya, and other crops is affected by a water deficit. This area’s relative water stress index (RWSI) ranges from moderate to high. In the short term, they can constrain agricultural development areas. (3) The metabolic intensity and density indicators show that the combined efficiency of the water demand/supply relationship for native maize was very deficient in 23 of the 50 municipalities. From our analysis perspective, it was possible to understand the changes occurring in the Socio-Ecological System of the nine agricultural chains. A trend in decreased rainfall and water levels in the aquifers for food production was observed.

Evaluation of the revision of spatial planning for flood due to land and climate changes in Soppeng Regency

The follow-up to reviewing the Regional Spatial Planning in Soppeng Regency indicated that the spatial planning could have been better, so an improvement process was carried out. Changes in spatial use and disaster vulnerability are factors in the need to rearrange spatial patterns. The exposure of environmental conditions in Soppeng to hydrometeorological disasters is inseparable from the condition of the area, which is located downstream of several watersheds originating from the surrounding area. Therefore, this study aims to evaluate the revision of the Soppeng spatial pattern for flood events due to land and climate change. This research was conducted based on the ecological boundary conditions of the watershed that affected, where the method used was based on several stages, namely: Land use change analysis using LanduseSim software to project land cover changes, Analysis of climate change using Sibias software to project rainfall and temperature conditions according to the projected period for regional planning, Analysis of flood discharge and drought hazard is processed using the SWAT and Hec-Ras models. Based on the research, it was obtained that the occurrence of floods in the study area occurred in several places with a percentage of 24% of the total area, respectively. After analyzing a revision of the existing spatial pattern, several directions for cultivation areas have a high level of disaster vulnerability. The directions for the affected areas include agricultural and other development areas, such as residential areas. So based on the results of this study, consideration is needed for areas with high flood vulnerability because disaster-related considerations need to be considered in changes to the spatial layout of the Soppeng area.

Introduction of new superior varieties and Jajar Legowo Super cultivation technology to increase rice productivity in Central Sulawesi

The agricultural sector must receive serious attention today since it faces many challenges such as the small size of land ownership and the low interest of the younger generation for doing this business. Various efforts have been made, including the agricultural technology park program and other programs for increasing production and farmer welfare. All those agricultural programs need to be supported by technology and model to get properly development. This study aims to increase the productivity and income of farmers in the agricultural development area. The research activities include potentials and problems of farm identification by a Forum Group Discussion and research implementation using a factorial randomized completely block design with four new high yield varieties and one existing variety. The results showed that farmers were very enthusiastic and responsive to the use of new high yield varieties which combined with Jajar Legowo Super technology. The highest yields in the first and second planting season were consistently reached by Inpari 30 variety. It was carried out both in Batui and South Batui District and there was an increase in production around 1.7-2 t/ha. Crop yields and farmers’ incomes have increased. The guidance and assistance for farmer groups has not shown best results, however, collaboration between the breeder group and the off taker (PT Pertani) has been formed, while the development of premium rice has not been optimally implemented due to the COVID-19 pandemic.

Empowerment in the development of agricultural areas

The development of agricultural areas is carried out in to realize agricultural development for the prosperity of the community, especially farmers. The decreasing control over agricultural land owned by farmers makes it difficult to obtain business efficiency. The effectiveness of farming is also increasingly difficult to achieve with the consequence that the quality of agricultural products is not guaranteed. Various studies have shown that the development of agricultural areas has been carried out but in reality, the success of developing agricultural areas has not met expectations. Success at the farm level is also a question of current conditions, so proper planning is needed in the context of developing agricultural areas. However, the results of a literature study show that the development of agricultural areas is carried out based on regional development plans that have been prepared by a special team who are considered experts in making regional development plans. Meanwhile, on the one hand, farmers, as land owners are questioned about their position and role in the process of developing agricultural areas. This study tries to conduct a literature review on the development of agricultural areas that have been carried out and are developing well using the Systematic Literature Review [SLR] method. The results of the study indicate that the development of agricultural areas requires planning that is compiled and designed together through a process of community empowerment who will receive benefits from agricultural area development activities.

МОДЕЛЬ ОПТИМІЗАЦІЇ ПОДАТКОВОГО НАВАНТАЖЕННЯ НА СІЛЬСЬКОГОСПОДАРСЬКІ ПІДПРИЄМСТВА У КОНТЕКСТІ СТАЛОГО РОЗВИТКУ

The aim of the article is to develop an applied methodology for identifying promising areas of agricultural development in Ukraine, which is based on the optimization of the tax burden on the industry through the use of production and institutional function. The theoretical and methodological basis of the study is the concept of Laffer curve and methods of scientific knowledge (econometric methods of studying the impact of taxes on the economy, regression analysis). The study uses a methodological approach that allows to optimize the tax burden on agriculture, which increases the industry’s output at a significantly lower level of the tax burden. With the help of econometric modeling, the optimal values of the tax burden have been calculated; the main patterns of the impact of the tax burden on the economic growth of agricultural production have been determined. The modern development of agriculture within the framework of the concept of sustainable development should be aimed at achieving food security and slowing down global warming. In order to obtain opportunities for the real implementation of the declared sustainable development goals in practice, economic entities in the country’s agricultural sector must function effectively according to the criteria of socio-economic, environmental and financial efficiency. One of the most effective levers for achieving such components of efficiency in the current conditions of the development of agriculture in Ukraine is the optimization of the tax burden. It has been established that the indicators of the tax burden have a significant impact on the development trajectory of the industry and form opportunities for increasing the level of social protection of the population. To identify and model the impact of the tax burden on the development of agriculture and the possibility of achieving signs of sustainable development, it is proposed to use a four-factor production-institutional function. As econometric parameters of the functioning of the economic and production system of the agrarian sector, the level of wages, the volume of capital investments, land area, and taxes are chosen. The econometric parameters demonstrated by the elasticity coefficients of the selected factors made it possible to calculate the Laffer points of the first and second order, on the basis of which the level of the tax burden is justified, which contributes to the growth of agricultural production in the context of tax optimization. pressure on the industry. Further research should be aimed at developing a strategy for the development of agriculture in Ukraine

Agroecological Challenges in Three Agricultural Development Areas in Aceh

Agroecological zones group an area on soil and climate differences that interact with crops will have impact on differences in commodities, farming systems, productivity, and farmers’ challenges in managing their agricultural businesses. Aceh Province which is grouped into 3 Agroecological Zones, namely the southwest coast, middle and northeast coasts have different agricultural characteristics. This descriptive research tries to answer the challenges of farmers in managing agricultural businesses in 3 different Agroecological Zones. The results showed that in the southwest zone there were 9 challenges, and in the middle zone there were 10 challenges faced by farmers. The main challenges in these two zones is that agricultural development assistance such as capital, superior seeds, production inputs, counseling, and program supervision is not appropriate and complete. In the northeast zone, there are 13 challenges with the main challenges was the difficulty of farmers in getting subsidized fertilizers. Synchronization of agricultural development programs with the challenges faced by farmers based on the ZAE area is very important, because it will be a more precise and simpler solution to solving agricultural challenges in agricultural-based regional development.

Book Review | Pro-Poor Development Policies: Lessons from the Philippines and East Asia

ABOUT THE BOOK: Pro-Poor Development Policies: Lessons from the Philippines and East Asia is a collection of 25 essays on Philippine economic development, written by eminent scholars, to honor the illustrious academic and public service of Arsenio M. Balisacan. Professor Balisacan’s numerous publications cover wide areas of economic development, including poverty, inequality, human development, agricultural and rural development, competition policy, and political economy of policy reforms. These are all themes covered by the 25 chapters, two of which Dr. Balisacan is a co-author, and, many of which cite his published work.

ПЕРСПЕКТИВЫ АГРОПРОМЫШЛЕННОЙ ИНТЕГРАЦИИ ОБЛАСТЕЙ УРАЛЬСКОГО ФЕДЕРАЛЬНОГО ОКРУГА С НОВЫМИ РЕГИОНАМИ (ЛНР, ДНР, ЗАПОРОЖСКАЯ ОБЛАСТЬ, ХЕРСОНСКАЯ ОБЛАСТЬ)

The article analyzes the prospects of interaction of the Ural Federal District with new regions of the Russian Federation in the context of agro-industrial integration. This work reveals the specifics of the agro-industrial complex (AIC) of the Ural region and possible interaction with such territories as the Zaporozhye, Kherson regions, Donetsk and Lugansk People’s Republics. The study characterizes the key areas of agricultural development in the Ural Federal District, the potential for the development of the region in this direction, as well as the possibilities of sectoral integration with other territories, including new ones in the Russian Federation. Considering the above, the purpose of our work is to study the prospects of agro-industrial integration of the Ural Federal District with new regions of the Russian Federation. At the same time, we have concretized the features of the agro-industrial complex of the Ural region, the subject is the integration of the Ural District and the new territories of the Russian Federation. In the context of the research topic, the author analyzes the main directions of agricultural development in the Urals and the possibility of its use for the economic growth of new developing regions. Also in the course of the work, the author offers recommendations on the development of interaction between these economic entities.

Improving the agricultural cooperation system's competitiveness through leasing

Subject. This article discusses the issues of improving the competitiveness of the agricultural cooperation system through the modernization of the physical infrastructure based on the use of leasing relations. Objectives. The article aims to conduct a comprehensive multi-factor analysis of various aspects to create competitive advantages of agricultural enterprises based on the modernization of facilities and resources and the use of leasing transactions, and determine the priority areas for the development of agricultural cooperatives. Methods. For the study, we used the methods of analysis and generalization. Results. The article identifies the factors affecting the insufficient competitiveness of agricultural cooperation enterprises, and offers certain recommendations for the technical modernization of the consumer cooperation system, including the use of leasing operations tools. Relevance. The results of the study can be used by agricultural cooperation enterprises, municipal authorities, participants in the leasing market, as well as research and educational organizations to analyze the areas of agricultural cooperation development.

Spatial and Temporal Distribution Characteristics of Nutrient Elements and Heavy Metals in Surface Water of Tibet, China and Their Pollution Assessment

In the context of global climate change, the ecological environment of Tibet has been gaining attention given its unique geographical and fragile nature. In this study, to understand the pollution status of the surface water of Tibet, China, we collected monthly data of 12 indicators from 41 cross-sectional monitoring sites in 2021 and analyzed the spatial and temporal variations of nutrients and heavy metal elements, water quality conditions, and pollutant sources in surface water. All 12 polluting elements, except lead (Pb), had significant seasonal variations, but the magnitude of the differences was very small. Spatially, nutrient elements were relatively concentrated in the agricultural and pastoral development areas in central and northern Tibet. In general, the water quality in most parts of Tibet was found to be good, and the water quality of 41 monitoring sections belonged to Class I water standard as per the entropy method–fuzzy evaluation method. The study used a multivariate statistical method to analyze the sources of pollution factors. The principal component analysis method identified four principal components. The results of this study can provide a scientific basis for pollution prevention and control in the Tibet Autonomous Region, and contribute to further research on water ecology.

Crop Cultivation Underneath Agro-Photovoltaic Systems and Its Effects on Crop Growth, Yield, and Photosynthetic Efficiency

Agro-photovoltaics (APV) could be the optimal means of sustainable development in agricultural areas once a few challenges are overcome, perhaps the greatest of which is the constant shading from AVP structures. This study examined how the growth and yield of rice, potato, sesame, and soybean crops could be optimized when grown underneath different APV systems. The solar radiation, shading levels, and temperatures during crop cultivation were measured. In addition, the photosynthetic efficiency was measured at different growth stages. Adjacent to the APV systems were the control plots with full sun. In these studies with potato crops grown under APV systems, most growth and yield parameters were similar to those grown in the control plot except for the plant height. On the other hand, sesame crops grown underneath the APV systems had a lower stem length, effective branching number, 1000 seed weight, and a reduced yield of 19% compared to the crops from the control plot. In two distant locations (Paju and Youngkwang), soybean crops grown underneath APV systems at both sites showed increased ungrained ratios per pod and a reduced yield of 18–20% compared to the control plot. Finally, rice crops cultivated underneath the APV systems had a lower panicle number per hill, spikelet number per panicle, 1000 seed weight, and yield reduction of 13–30% compared to the control plot. Overall, crops grown underneath the APV systems had a greater plant height and stem length. Moreover, the solar radiation and PAR underneath the APV systems were also lower than in the control plots. The photosynthetic efficacy in rice plants grown underneath the APV systems was lower than in the control plots. The photosynthetic efficacy may help lower the crop yield when cultivation is underneath an APV system.

Sustainability of agriculture in view of the agricultural censuses of 2010 and 2020

Data provided by official statistics, including those obtained through agricultural censuses, can serve to analyse and assess the progress made in the sustainable development of agriculture, which is consistent with the objectives set out in policy documents and development strategies. In 2021, Statistics Poland published the first results of the 2020 Agricultural Census (2020 AC), comparable with the 2010 AC data, along with the tendencies of the development of agriculture in Poland observed in certain areas. The aim of the paper is to make a preliminary and selective assessment of the changes occurring in sustainable agriculture on the basis of the available agricultural census data. Furthermore, the study is meant to emphasise the need for Statistics Poland to collect and publish additional data allowing for a fuller illustration of the progress made in the area of agricultural sustainable development. The data provided by Statistics Poland enable a general assessment of the changes taking place in the agrarian structure, labour input, agricultural land use, agricultural technologies, industrial resources input, and specialisations and sources of maintenance of households with a user of an individual agricultural holding in the context of agricultural sustainability. However, a more comprehensive and complete evaluation requires Statistics Poland to take into account information from sources other than agricultural censuses in its further, post-census publications. Moreover, the aforementioned evaluation necessitates the establishment of new farm groupings according to sustainability indicators, the type of gmina (municipality), the used agricultural technologies and practices, labour input, farms’ market orientation and sources of support, the areas of different agricultural valorisation (LFA), the Natura 2000 areas, and others.

Developments in Agricultural Crop Innovations

This review focuses on two emerging areas of agricultural product development, namely vertical farming and alternative animal products. We note that the drivers of this type of food innovation are a combination of factors that are resource based or supply chain based or reflect shifts in tastes, preferences, and food ethics. We conclude that leafy greens produced in vertical farms are now established in a rapidly growing market and that the plant-based meat alternatives in the form of burgers and nuggets are well established. For the nascent cultured meat sector, it is still too early to predict how widely it will penetrate into the conventional meat and fish markets based on current production methods, cost, and consumer acceptance, but investments in technological improvements are progressing.

Technologies for Enhancing Water Productivity through Remote Sensing and GIS

Water is the essential component of the agricultural system as well as another biota so that precisely management needs to save it for the future generation. So many types of water problems are there on the earth to affect the ecosystem whereas some dangerous problems are created by the uneven management of water such as flood, drought, metallic contamination, water pollution, wastage of water, and drainage, etc. Remote sensing and GIS technology are important and useful tools for the sustainable agricultural management system. The integrated use of remote sensing and GIS technology in several areas for the sustainable agricultural management system in India. Even with their importance, data required monitoring the productivity of land and water resources over the vast areas are usually not available or accessible. Satellite measurements from the National Oceanic and Atmospheric Administration (NOAA) weather satellite are combined in this study with the ancillary in situ data into a Geographic Information System (GIS). Remote sensing measurements are converted to crop yield, to actual evapotranspiration and indirectly to the net groundwater use. The GIS data consist of canal-water deliveries and rainfall records. For each of the canal commands, the productivity of water is calculated. Maximum variability in the data is found from different canals commands area in the Indus basin. It has resulted that water productivity is being controlled by the crop yields than by water input. Remote sensing and GIS technology are being effectively utilized in India in several areas for sustainable agricultural development and management. The areas of sustainable agricultural development include cropping system analysis, agro-ecological zonation, quantitative assessment of soil carbon dynamics and soil productivity, soil erosion inventory, integrated agricultural drought assessment and management and Integrated Mission for Sustainable Development (IMSD). Remote Sensing and GIS technology demonstrated to be an effective tool for suggesting action plans or management strategies for agricultural sustainability of any region.