Forestry Areas Research Articles

Identification of Forest City Multi-Policy Using the MULTIPOL: A Study In The New Indonesian Capital, East Kalimantan

The policy-planned development in the new Indonesia Capital City (IKN) area must be accompanied by good planning to ensure the continued availability of forestry ecosystem services, especially forestry areas. These ecosystem services are strongly influenced by their ecological functions. Humans depend on essential ecosystem services to satisfy their inherent needs and enhance or preserve their quality of life. Natural resources are being overused to satisfy these demands, endangering biodiversity and putting more strain on ecosystems. Therefore, a multi-policy approach describes and visualizes the relationships between multi-aspect policies that provide and benefit from forestry ecosystem services. The method used in compiling this paper is multi-policy, part of the prospective analysis method. This method will map and create a model, the best policy scenario that can be applied to achieve the goal of a forest city in the new nation's capital. The results show that the presidential regulation implementation scenario is the best policy choice for the forest city model in the new state capital.

Land Cover Change and Carbon Potential in Mangrove Ecosystems at The Social Forestry Area (Study Case: Indramayu Regency, Indonesia)

Land Cover Change and Carbon Potential in Mangrove Ecosystems at The Social Forestry Area (Study Case: Indramayu Regency, Indonesia)

Reorganization of Population Placement System in Northwestern Siberia as a Reflection of Socio-Economic Policies of USSR in 1930s-1950s

This study examines the changes in the population placement system within Northwestern Siberia during the 1930s-1950s. It provides an overview of the settlement network that formed the basis of population distribution in the region. Previously unpublished archival data on settlement typology, population size, resettlement to the north during industrialization and collectivization, and post-war periods are introduced into scholarly discourse. The dynamics of population size and distribution in national districts are discussed, along with an exploration of the ethnic composition of rural settlements’ inhabitants. The study notes a decrease in the proportion of indigenous peoples alongside an increase in the number of Belarusians, Ukrainians, and Germans in the ethnic composition of the population, largely due to mass forced migrations. It is concluded that compared to the 1920s, there was a reduction in the number of small settlements of nomadic peoples (yurts, reindeer camps) during the period under review. As a result of sedentarization efforts among the indigenous population of the region, a significant portion of their settlements became permanent and acquired town status. The typological structure of the settlement network changed: the number of “alien” type settlements decreased, giving rise to “special settlements,” an increase in towns, and rural nonagricultural settlements such as animal farms, forestry areas, and settlements near factories.

Transformation in the forest: the role for restoration in the transition away from native forestry in Australia

The native forestry industry is being reconsidered, or actively phased out, across most parts of Australia. This kind of transition has happened elsewhere in the world but, in Australia, there is no clarity from governments about what those forestry areas will become, from an ecological or legal perspective. In this research, we investigate the ecological, climatic, and governance contexts for this transition away from native forestry, placing our results in the context of the Global Biodiversity Framework's push to restore 30% of the Earth's land, coasts and oceans. We demonstrate important gaps in government planning for the future of former native forestry coupes, arguing that “after forestry” many of these places will need active intervention to recover these ecosystems and address historic land degradation. This case study combines legal analysis with a review of the restoration literature to illustrate the importance of the governance framework within which restoration science is evolving. We demonstrate the complexity of governing restoration at large scales as the climate changes, as well as potential opportunities to reconcile fragmented governance arrangements, to ensure that this transition results in resilient forest ecosystems in currently degraded areas.

Structure of Social Forestry Service Area in Cenrana District, Maros Regency

Abstract Damaged road access, absence of markets in some villages, and lack of access to technology are challenges for forest communities in the Cenrana District. Optimising service centres in social forestry (SF) locations can support social forestry activities. Based on scalogram and gravity analysis, the structure of social forestry areas in the Cenrana Sub-district shows Limampoccoe Village as the sub-district level service centre, providing warehousing, commodity distribution, quality control, and packaging and branding services. Labuaja Sub-Village (Laiya Village), Malaka Sub-Village (Cenrana Baru Village), Bululohe Sub-Village (Rompegading Village), and Nahung Sub-Village (Labuaja Village) serve as commodity auction market locations, local trials, counselling, honey cultivation facilities, and processing technology for derivative products such as aren palm, candlenut, porang, and coffee. Road infrastructure and tourist attraction signposts are in Malaka Hamlet (Cenrana Baru Village). Conflicts in Labuaja Village require conflict resolution in social forestry management.

Analysis and forecasting of the scale and impact of forest fires on ecosystems of Ukraine

Forest fires are one of the most significant environmental problems that have a major impact on biodiversity and climate conditions. The purpose of the study was to investigate the impact of military operations on the ground cover in the area of the Bekhy forestry, which was disturbed by fire. It was revealed that for the period 2022-2023, 15 forest fires were recorded on the territory of the Korosten forest hunting enterprise of the state enterprise “Forests of Ukraine”, while the total area covered by fires was 15.13 ha. Overall, the number of fires increased from 5 to 10, but the total area covered by fires decreased from 12.1 to 3.03 ha. At the site of fires in 2022, the pH level increased to lower horizons, with the highest values at microhills (7.55) and microdepressions (7.35). There was a slight increase in the organic carbon content in the upper humus horizon of soils (0.42% on microhills and 0.46% on microdepressions). Bekhy forestry suffered a large forest fire in May 2023, which covered an area of 1.2 ha. The fire hazard assessment of each quarter was carried out separately. In the 50th and 51st compartments, Scots pine was the most fire-prone type of plantings. The 2023 fire site also showed an increase in pH in the lower horizons, with the highest values in microhills (7.35) and microdepressions (7.55). The 2023 fire site showed a decrease in organic carbon content compared to the background sites, with minimal values in the lower parts of the soil profile (0.33% on microdepressions and 0.38% on microhills). The results of the study can be used to develop and implement environmental measures and programmes aimed at restoring forests damaged by fire

FOREST HARVESTING: HOW MACHINE TRAFFIC CAN AFFECT SOIL COMPACTION VARIABILITY

The forestry sector has seen an increase in wood demand in recent years, requiring greater mechanization and sustainability in forestry operations, operational excellence, and productivity of stands. The effect of harvesting machine traffic on the soil alters its physical properties, causing degradation, soil compaction, and reducing the volumes of wood produced by commercial forests. Thus, the objective of the present study was to evaluate the spatial variability of soil physical attributes after harvesting and skidding operations, carried out by a harvester and forwarder respectively, in a commercial eucalyptus plantation. The study was conducted in two areas in the municipalities of Itanagra-BA and Entre Rios-BA. Samples were collected in three layers (0-0.20 m; 0.20–0.40 m; 0.40–0.60 m) and the following items were evaluated: total porosity, bulk density, and soil penetration resistance. Operations performed by the harvester and forwarder altered soil resistance, with a greater effect on sandy loam soils, decreasing their density and porosity. Regarding the number of forwarder passes, the seventh pass generated the peak resistance, altering soil recovery capacity, causing additional compaction. Operational planning, to reduce the effects of compaction in areas most susceptible to physical soil degradation, is essential in the forestry area, especially when moisture values are high, a factor that favors soil compaction and reduces stand productivity.

A Lightweight Pine Wilt Disease Detection Method Based on Vision Transformer-Enhanced YOLO

Pine wilt disease (PWD) is a forest disease characterized by rapid spread and extremely high lethality, posing a serious threat to the ecological security of China’s forests and causing significant economic losses in forestry. Given the extensive forestry area, limited personnel for inspection and monitoring, and high costs, utilizing UAV-based remote sensing monitoring for diseased trees represents an effective approach for controlling the spread of PWD. However, due to the small target size and uneven scale of pine wilt disease, as well as the limitations of real-time detection by drones, traditional disease tree detection algorithms based on RGB remote sensing images do not achieve an optimal balance among accuracy, detection speed, and model complexity due to real-time detection limitations. Consequently, this paper proposes Light-ViTeYOLO, a lightweight pine wilt disease detection method based on Vision Transformer-enhanced YOLO (You Only Look Once). A novel lightweight multi-scale attention module is introduced to construct an EfficientViT feature extraction network for global receptive field and multi-scale learning. A novel neck network, CACSNet(Content-Aware Cross-Scale bidirectional fusion neck network), is designed to enhance the detection of diseased trees at single granularity, and the loss function is optimized to improve localization accuracy. The algorithm effectively reduces the number of parameters and giga floating-point operations per second (GFLOPs) of the detection model while enhancing overall detection performance. Experimental results demonstrate that compared with other baseline algorithms, Light-ViTeYOLO proposed in this paper has the least parameter and computational complexity among related algorithms, with 3.89 MFLOPs and 7.4 GFLOPs, respectively. The FPS rate is 57.9 (frames/s), which is better than the original YOLOv5. Meanwhile, its mAP@0.5:0.95 is the best among the baseline algorithms, and the recall and mAP@0.5 slightly decrease. Our Light-ViTeYOLO is the first lightweight method specifically designed for detecting pine wilt disease. It not only meets the requirements for real-time detection of pine wilt disease outbreaks but also provides strong technical support for automated forestry work.

Added Value and Challenges of the Follow-the-Money Approach in Environmental Crimes

Environmental crimes have a wide impact on the country's losses in social and economic development and threaten the sustainability of living things and the ecosystem. In addition, environmental crimes also produce follow-up crimes, namely criminal acts of money laundering (TPPU). Based on the Financial Action Task Force (FATF) July 2021 Report on Money Laundering from Environmental Crimes, environmental crime is one of the crimes that is estimated to generate the most profitable income in the world, which is around USD 110 to 281 billion annually. Unfortunately, the handling of money laundering cases related to environmental crimes in Indonesia remains suboptimal, as evidenced by the disproportionate number of environmental crimes addressed by money laundering authorities in this sector. This study examines how law enforcement of forestry and environmental crimes needs to be strengthened by a follow-the-money approach. This study used descriptive and qualitative analysis methods involving secondary data from various related institutions and primary data from unstructured interviews with several investigators in the field of environment and forestry. The findings of this study indicate that law enforcement in the areas of forestry and environmental protection, particularly in the application of anti-money laundering measures, remains suboptimal. This inadequacy is largely attributed to the limited experience of investigators in handling environmental cases. Whereas, adopting a follow-the-money approach in environmental investigations could significantly enhance the effectiveness of these efforts, allowing for a more comprehensive uncovering of past illegal activities. Additionally, this approach has the potential to identify a broader network of involved parties, including the identification of beneficial owners.

Identification of Tourism-Based MSME Marketing Management Strategies

Sugihwaras Village is a village located in Ngancar District, Kediri Regency. The Sugihwaras Village area includes plantation areas, forestry areas and the Mount Kelud Tourism Area, which means that some economic activities take place in the agricultural and tourism sectors. A well-known agricultural commodity is pineapple with a typical mainstay product, namely "kelud “Madu” pineapple". The superiority of commodities and the implementation of tourism activities in the Mount Kelud Tourism Area has created new job opportunities, namely Kelud “Madu” Pineapple Traders. In practice, Kelud “Madu” pineapple traders are part of Micro, Small and Medium Enterprises (MSMEs) and as an aspect of Tourism Amenities to support tourism activities in the Mount Kelud Tourism Area. The Kediri Regency Government also supports the potential of “Madu” pineapple in Sugihwaras Village by holding a Pineapple Festival to develop and commercialize the potential of kelud “Madu” pineapple. However, the government's objectives are still not in line with the conditions of MSMEs selling kelud “Madu” pineapples. Therefore, this research seeks to examine marketing management by Kelud “Madu” pineapple traders as supporters of the Mount Kelud Tourism Area. This research uses a qualitative method with an exploratory descriptive approach. Data collection techniques use interviews, observation and documentation. Data analysis consists of data collection, data condensation, data presentation, and drawing conclusions. The research results show that marketing by kelud “Madu” pineapple traders is considered to be quite good in terms of potential, personal, operational, relationship and interaction management. The obstacles encountered by kelud “Madu” pineapple traders are related to the provision of facilities, high purchasing prices, and declining sales. Efforts made by the government include organizing festivals and community training, but there is a need for capital assistance for traders.

Geospatial Inventory of the Galakand Forestry Area Utilizing GIS Database and Remote Sensing Techniques

This study investigated the dramatic reduction of forested areas in Azerbaijan, exceeding 50% over the past two centuries, largely due to increased wood production. Focusing on the period between 1880 and 1990, it analyzed the impact of timber harvesting on the composition of dominant tree species, with a special focus on beech trees, in the Galakand forestry area. Utilizing GIS databases and remote sensing techniques, the research assessed the changes in forest cover and species distribution, highlighting the critical transition from lush beech and oak forests to areas dominated by hornbeam, east hornbeam, oak-hornbeam, and juniperus-bush light forests. The study demonstrated the negative consequences of historical overexploitation, advocating for forest farming practices that promote the recovery and preservation of native forest ecosystems. Key findings revealed a marked decline in valuable wood species due to intensive logging activities, particularly between 1880 and 1914, and the detrimental effects of forest renewal cabins established from 1930 to 1970. The outlined measures in the study highlighted that the forest primarily comprises wooded areas (reserves with a completeness of 0.1-0.2, clearings, and clearings), non-forest lands repurposed as pastures and forested pastures with a density ranging from 0.3 to 0.4. Overall, the findings underscore the importance of sustainable forest management practices to reverse the adverse effects of historical overexploitation and preserve the biodiversity of Azerbaijan's ecosystems. The paper emphasized the necessity of sustainable forest management to reverse the damage and protect Azerbaijan's biodiversity to enhance measures for sustainable forestry, along with the critical role of advanced GIS and remote sensing in monitoring and conserving forest resources.

Estimated Tree Carbon Reserves and Saplings in the Nagari Sumpur Kudus Social Forestry Area, Sijunjung Regency

The forest within The Social Forestry of Nagari Sumpur Kudus, Sijunjung Regency has the ability to store carbon reserves. The forest area located in the highlands shows a lot of biodiversity, influenced by the ability of the forest to maintain carbon stocks and diverse plant species in the area. The purpose of this study is to determine the total biomass and total carbon stocks stored in the Social Forestry Area of Nagari Sumpur Kudus, Sijunjung Regency. This research was conducted from May to October 2023. Taking at tree and sapling strata uses a nondestructive sampling method. From the results, it is obtained that the three strata are as many as 14 families and 14 species. The sapling strata is obtained from as many as 17 families and 37 species. The total above-ground biomass is l78,97 ton/ha consisting of 177,83 ton/ha tree biomass and 1,13 ton/ha sapling biomass. The total above-ground carbon stock is 86,11 ton/ha consisting of tree carbon stock 85,58 ton/ha and sapling carbon stock 0,53 ton/ha. The Social Forestry Area of Nagari Sumpur Kudus, Sijunjung Regency has the potential to store carbon stocks which is included in the medium category and need to be maintained.

Lessons Learnt from the Influencing Factors of Forested Areas’ Vulnerability under Climatic Change and Human Pressure in Arid Areas: A Case Study of the Thiès Region, Senegal

Understanding the factors influencing the vulnerability of forested areas is crucial for human well-being and effective governance of ecosystem supply and demand. Based on remote sensing data, this study also considered ten natural and human variables as indexes to explore the main influencing factors that may impact the vulnerability of the Thies region’s forested areas. The 2005, 2010, 2015, and 2020 satellite image data were processed using ArcGIS 10.6 and ENVI 5.1 software. The methodology includes using the transfer matrix approach and calculating the geographic landscape index to describe the dominant morphology of forested areas. Furthermore, a mixed linear regression model was built to establish the connection between forested areas and the potential contributing components. Our study revealed that the forested areas led to relative fragmentation, with an average of 88 patches for Aggregation Index (AI), 3.25 for Largest Patch Index (LPI), 2.50 for Patch Density (PD), and 112 for Landscape Shape Index (LSI) between 2005 and 2020. In addition, the transfer matrix indicated that the loss of forestry areas was about −78.8 km2 for agricultural land, −127.8 km2 for bare land, and −65.3 km2 for artificial surfaces. The most critical factors that influenced forested areas were agricultural and manufactural added value, rainfall (p < 0.05), slope, distance to the road, and agricultural sown area (p < 0.001). Overall, this investigation has revealed that the effective management of forested areas in the Thies region requires an understandable assessment. It was observed that both human anthropogenic and natural factors significantly contribute to the decline in forested areas.

Integrated Area Development: A New Social Forestry Landscape Approach in Indonesia

The area of Social Forestry in Indonesia until July 2023 has reached 5,625,137 ha with 8,317 location units. Nearly 80% of the area of each unit isless than 500 ha, and only 3 to 4 business units can have an impact on increasing community welfare, social cohesion, and regional ecological protection. This condition can still be improved so as to have an impact on regional economic development and product-added value. This study aims to examine the new concept of the social forestry landscape approach, such as integrated area development (IAD), and its implementations. The study was carried out in Lumajang Regency, East Java Province targeting, key stakeholders with the highest values of Indegree, Outdegree, Incloseness, Outcloseness and Betweenness as the main respondents. Determining key stakeholders using stakeholder network analysis with the UCINET (social network analysis) application. The results of the study show that the IAD approach provides added value in regional development, added product value, and expanding marketing economic coverage. IAD program in Lumajang shows that the Government (central and regional) is the key stakeholder in implementing activities. The IAD master plan, which was prepared by practitioner multi-stakeholders, resulted in an agrosilvopastural network, agro-industry, tourism interconnection, and environment-based restoration. The IAD Lumajang, especially Senduro village in the agrosilvopatural and agro-industry sectors, per capita income has managed to cross the poverty line (IDR 3.7 million per month/household), increased employment, and increased contribution of various sectors. This can be used as a role model for other social forestry areas in the context of poverty alleviation.

The Economic Contribution of Non-Timber Forest Product to the Community Income: A Case of Community Forest in South Sulawesi, Indonesia

A community forest is a forest area whose use is intended to promote community development and well-being. This research was conducted in order to determine the contribution of NTFP income to Community Forestry (HKm) areas, particularly in Rompegading Village, Cenrana District, Maros Regency, South Sulawesi. Using a method of purposive sampling, up to 25 respondents met the criterion of actively managing NTFPs. Using interview guidelines and questionnaires, respondents were interviewed. On the basis of previously tabulated data, descriptive analysis was performed. The study reveals that the varieties of NTFPs utilized by the community are palm sugar and forest honey, while rice and peanuts are cultivated. NTFPs contribute 56% of the total annual income of IDR1, 116, 270, 235 ((72001,8 USD), which includes income from both NTFPs and agriculture.

The Vulnerability Model of Water Resources Management in Forest Edge Communities in Sumedang Regency

Purpose: This study aims to explain the vulnerability of institutional management practices of water resources, agent practices, and system reproduction that can potentially cause social vulnerability in society. Theoretical reference: Structuration theory was chosen because this theory can explain structural or institutional vulnerability seen from practices in water resources management. Method: A qualitative approach using the participatory rural appraisal (PRA) method was employed to map the social vulnerability of management structures. NVivo mind map analysis and geographic information system analysis were used to strengthen the relationship between social practices and vulnerability information through drought maps. Results and Conclusion: The results of the study show that resource management is vulnerable to maintaining old patterns or habits because agents are unable to break through institutional systems and structures do not have authority, and have no bargaining position. Reproduction of social systems takes place in accordance with ongoing social structures that traverse space and time. The forestry organization KPH Sumedang has the authority to manage water resources around the forestry area. Vulnerability becomes a phenomenon of water user communities on the forest's edge. Discursive and recursive practices of actors/agents perpetuate the social structure of water users, such as the potential vulnerability of the social structure of water user communities and practices that encourage social vulnerability. Implications of research: This study has shed light on the community vulnerability related to the management of water resources by the forest edge communities. In addition, this study has given insight into the vulnerability of the social structure that can be seen from the practices of water users in village communities on the edge of the forest. Originality/value: The originality lies in how this research scrutinizes the social vulnerability model in managing water resources in communities in villages on the edge of the forest. So far, vulnerability has been studied more often after a disaster occurs.

Spatiotemporal drought characteristics during growing seasons of the winter wheat and summer maize in the North China Plain

The North China plain (NCP) is an important production base for winter wheat and summer maize in China. Severe droughts seriously restrict agricultural production in this region, threatening food security. Based on the standardized precipitation evapotranspiration index (SPEI), this study explored the spatial and temporal drought characteristics during the winter wheat and summer maize growing seasons in the region. The study found that: 1) From 1980 to 2013, the drought trend of the winter wheat growing season in the NCP has intensified, with Huang-Huai Plain agricultural area (HH_P) showing the most significant drought trend. However, the summer maize growing season has become wetter, with the Shandong hilly agricultural and forestry area (SD_Q) showing the most significant wetting trend. 2) After the year 2003, the results from Mann-Kendall trend analysis revealed that the drought trend of HH_P during the winter wheat growing season became particularly pronounced, but the wetting trend of SD_Q and HH_P during the summer maize growing season became more evident. 3) The dominant spatial patterns observed in the NCP during the growing seasons of winter wheat and summer maize were marked by a consistent distribution of drought and wetness conditions. For winter wheat, the southern regions of the foothill plain area of Yanshan and Taihang Mountains (YT_P) and the low-lying plain area of Hebei, Shandong, and Henan (JLY_P) were more sensitive to the changes of drought and wet conditions. For summer maize, SD_Q was more sensitive to the changes of the drought and wet conditions. The results of this study could provide references for the formulation of drought relief strategies of winter wheat and summer maize in the NCP.

The Role of ICTs on Innovation Process of Environment and Energy Convergence

Information and communication technologies (ICTs) play a vital role in innovation. ICTs facilitate innovation and boost the potential to generate innovative goods in developing countries. This article examined the heterogeneous impact of institutional quality and ICTs on environmental convergence (i.e., per capita <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathrm{C}{\mathrm{O}}_2\ $</tex-math></inline-formula> emissions, forestry area) and per capita energy consumption across various developing countries from 1991 to 2019. Interestingly, we compared the differential effects of institutional quality and ICTs on per capita <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathrm{C}{\mathrm{O}}_2\ $</tex-math></inline-formula> emissions, forestry area, and per capita energy consumption convergence in a disaggregated manner. The panel quantile regression method is then used to assess the absolute and conditional <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">β</i> -convergence quantile distribution of the study variables by controlling lower-middle-income and low-income countries. According to the conditional convergence results, lower-middle-income countries have the largest per capita <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathrm{C}{\mathrm{O}}_2\ $</tex-math></inline-formula> emission, forestry area, and per capita energy convergence rates relative to low-middle-income countries. Additionally, institutional quality increases the per capita <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathrm{C}{\mathrm{O}}_2\ $</tex-math></inline-formula> emissions, forestry area, and per capita energy consumption convergence in the selected developing countries. Our findings support the hypothesis that ICTs facilitate innovation and boost the potential of low- and middle-income countries to generate innovative goods. Our results show that it is important for developing countries to implement institutional policy adjustments and ICTs that focus on improving their environmental standards.

Land Use Land Cover Change Detection and Future Forecasting in Ningxia, China: A Random Forest and ANN-Based Approach for Sustainable Development

The accurate tracking and prediction of Land Use Land Change monitoring and prediction precision or accuracy are urgent for technological development and practical ecology management. This objective is pursued by understanding of the changing patterns of LULC temporally and spatially in Ningxia, China, a semi-arid region experiencing desertification and over-rapid urbanization. Therefore, one of the main objectives of this work is prediction for the future trends within this field of research. This research utilized the MODIS data taken from the satellite Moderate Resolution Imaging Spectroradiometer through remote sensing and advanced machine learning algorithms. During 2003 to 2023, the random forest classifier was used to monitor the LULC change in Ningxia, passing to different stage and increasingly affluent cities. These surveys predict the possible scenarios, including the rapid increase in desertification, urbanization side and erosion of the areas for agriculture, forestry and water-covered. A merging approach based on cellular automata and artificial neural network employed with the purpose of typing the future condition of land use and land cover. This approach relies on calibration to study future operations that remain unaffected by peoples’ choice. The calibrated version could be done to become tightly related to the spatial variables that heavily shift in time. The altered model achieved a great accuracy of 85% similarly the maximum value of 0.96 for the Kappa coefficient, which indicates the discovery of the ANN. Deserts and town are a few of the surfaces that have grown under science. As a result, wild animals’ facilities and natural flora have deteriorated, lowering agricultural output. (1) According to the transition probability matrix, this could be as high as 28% from agricultural land to desert. (2) One of the findings from spatial analytical trend analysis that I mentioned above, is also detected in terms of a distinct rise accumulation just for the desert category with respect to all other LULC types combined. (3) Thus, further increases in desert and artificial land might be coupled with urbanization (e. g.) to climate change.

Analysis of forest fires in arid landscapes of the Orenburg region

At the present stage of economic development of the forestry complex of the Russian Federation, solving problems with forest fires is key and fundamental. The inevitability of forest fires and the impossibility of preventing the loss of forest resources have led to the need to conduct analytical work to assess the fire rate of forests, which is an indicator of the conditionally permissible area of forest fires for a certain area or forestry for a certain period. The article presents the results of a review of forest fires in the Orenburg region in the context of 27 forest districts for the analyzed period from 2010-2020. Assessing the results of forest fires is necessary to solve current applied problems when planning work in subsequent fire seasons. The study found that for the period (2005-2023), the most fire-dangerous years in terms of the number of fires were 2010 and 2021. An assessment of the relative fire rate in forest districts of the region made it possible to establish that low fire rate is typical for 6 forest districts (22%), moderate and medium fire rate is established in 8 forest districts (30%), and strong (high) fire rate is found in 13 forest districts - 48%. High values of relative fire intensity with values of 0.9, 0.5 and 0.6 were established, respectively, in the Dombarovsky, Orenburgsky and Kvarkensky forest districts, the main reason for their occurrence is the anthropogenic factor. Depending on the geographical location of forestry areas, the number of fires increases; the reliability of the approximation was R2=0.83.