Regional Forestry Research Articles

Quantifying ecosystem quality in the Tibetan Plateau through a comprehensive assessment index

The Tibetan Plateau, characterized by complicated geological structures, is sensitive to climate change and human activities. The vulnerable environmental balance of the Tibetan Plateau has witnessed substantial alterations, emphasizing the urgency to comprehend and protect its ecosystem quality. In this study, we aim to quantify the ecosystem quality of the Tibetan Plateau, portray its spatiotemporal dynamics, and analyze the spatial heterogeneity of climatic and anthropogenic influences. We employed the entropy weight method (EWM) to construct a comprehensive index, termed the Ecosystem Quality Comprehensive Assessment Index (EQCAI). The historical spatiotemporal patterns and trends of EQCAI were subsequently identified. Our results revealed a gradient of decreasing ecosystem quality from the southeast to the northwest of the Tibetan Plateau, while the mitigation of ecosystem quality degradation displayed an improving trend from the southwest to the northeast. We further detected the spatial heterogeneity of factors influencing changes in ecosystem quality through the multiscale geographically weighted regression (MGWR) method. Precipitation emerged as the primary positive factor, exerting a profound influence on the ecosystem quality of the southeastern Tibetan Plateau. Conversely, evapotranspiration, elevation, and human activities negatively affected the western Tibetan Plateau. This study proposes targeted conservation efforts for forestry regions with high ecosystem quality in the southeastern Tibetan Plateau. Additionally, we suggest that the positive impact of human activities on the ecosystem quality of the Tibetan Plateau should be further strengthened. Our findings contribute valuable insights for informed decision-making in the sustainable management and preservation of the Tibetan Plateau's fragile ecosystem.

Remote monitoring of the influx of military activities on forest landscapes of the Kharkiv region

Russia's armed aggression against Ukraine has significant consequences for forestry - 2.9 million hectares of forests have different levels of damage. Taking into account the territories of the Autonomous Republic of Crimea, Luhansk and Donetsk oblasts, which were occupied until 2022, about 1 million hectares of forests are currently under occupation or are affected by active hostilities. Purpose. To record and visually analyze the manifestation of military actions within the forest landscapes of the Kharkiv region caused by a full-scale invasion of Ukraine in 2022. Methods. Remote sensing methods, using Sentinel 2 L2A satellite images and Google Earth Pro software. Information on the dynamics of the occupation boundaries, including the forest landscapes of the Kharkiv region, was collected using QGIS software in the format of a vector layer. Results. The forest landscapes that were under occupation in 2022 at the maximum occupation of the territory of Kharkiv region covered 1177,082 km2. In the process of gradual liberation of the territory, the area of forests directly affected by hostilities decreased. The forest landscapes that were under occupation for different time periods (3, 4, 7, 8 months and more than 1 year) were identified. Since part of the region is still occupied, the last time category has no time limit. Based on the materials of the remote sensing of land cover, the authors identified the areas of destroyed forest as a result of logging and fires. Areas where fortifications were built and destroyed not only stands, but also the soil cover and made changes to the relief were identified. At the same time, forest landscapes were affected even without being occupied as a result of shelling, bombing and remote mining. The affected forest landscapes are part of the region's forestry enterprises, nature reserve fund objects, water protection and recreational areas. Conclusions. Monitoring the area of forest landscapes by means of remote sensing made it possible to identify the foci of the most affected areas, to periodize and establish the main components of the impact of military operations on forest landscapes: forest fires caused by explosions; damage to vegetation and soil due to bombing; felling of trees and destruction of soil cover for the construction of fortifications. The disadvantages of remote sensing include.

Pendampingan Pengajuan Sertifikasi Halal Produk Minuman Herbal Instan

One manifestation of the existence of small and medium enterprises (MSMEs) is a home industry which is currently growing rapidly and is a solution to improving people’s living standards. This industry can be relied upon to highlight regional local wisdom, especially Sumenep. One of the small and medium industries in Sumenep, namely KTH Bukit Lestari, located in the village of East Gadu, Ganding district, whose product is an instant herbal drink. This product has been marketed to several areas in East Java, but does not yet have halal certification. The team collaborated with the Sumenep Regional Forestry Service Branch through community service activities to assist KTH Bukit Lestari as a partner in submitting product certification. The training in the form of providing material on the urgency of halal certification an accompanying the completeness of submission documents has been carried out by the team and enthusiastically participated by partners. Partners actively participate during the activity and obtain halal certification for their products with the number ID35110000374340622.

Perencanaan Desain Tapak Jasa Lingkungan Wisata Alam Di Hutan Lindung Gunung Mahawu

The main objective of this study is to develop a site design for planning the development and management of natural tourism environmental services that are harmonious and harmonious with the natural environmental conditions in the Mount Mahawu Protection Forest by describing the potential, potential distribution and site analysis of each potential natural tourist attraction object. This research began in March to May 2023. The data used in this study were secondary data and primary data. Survey methods namely observation and inventory are used to obtain primary data in the form of biophysical data on research locations, types of potential natural tourist attraction objects as well as information on flora and fauna obtained at potential ODTW points determined by purposive sampling. Secondary data was obtained from a literature study as well as data from related institutions, namely the Forest Management Unit V of the Regional Forestry Service of North Sulawesi Province. The results showed that there were 6 forms of Land Mapping Unit (LMU) and 7 Land Utilization Types (LUT). The level of feasibility of developing ODTW potential consists of low to high categories. The high potential category is in LMU V and VI. LMU II is in the medium category class, LMU I, III and IV are in the medium and low categories. Alternatives to developing management space consist of business space covering an area of 522.663 Ha and public space of 53.265 Ha or 9.25% of the total site area by considering ecological, policy, technical and socio-cultural aspects.

Modeli rasta prirodnih sastojina kalabrijskog bora u središnjem mediteranskom području Turske

Stand growth models are needed for a variety of forestry practices, primarily management plans and silvicultural studies. The goal of this study was to create stand-level models for natural, pure even-aged stands of Calabrian pine in the central Mediterranean region of Turkey. The study area consists of pure and natural Calabrian pine stands located within the boundaries of the Antalya and Mersin Regional Forestry Directorates in the central Mediterranean region of Turkey. Data was collected from 486 temporary plots scattered throughout the region. Two trees (the dominant tree and the tree representing the quadratic mean diameter of the stand) were measured in each plot, yielding 972 trees. The data showed that the age varied from 6 to 135 years, the site index (SI) from 8.5 to 33.5 m, and the density from 0.3 to 12.4. The density-dependent yield tables were generated using regression equations based on stand age, SI, and stand density with individual, two-factor, and three-factor interaction effects. For SI classes I, II, and III, the optimal rotation period that would result in the highest yields for pure Calabrian pine stands is 60, 65, and 75 years, respectively. The stand growth models developed (i.e., density-dependent yield tables) agreed with the fundamental growth principles and data provided in the literature.

Increased dimensional stability of Eucalyptus grandis × Eucalyptus urophylla ‘GLGU9’ wood through palm oil thermal treatment

Eucalyptus grandis × Eucalyptus urophylla ‘GLGU9’ is one of the most commonly planted tree species in South China. It is a new variety created by Guangxi Zhuang Autonomous Region Forestry Research Institute. As a fast-growing species, the poor dimensional stability is one of its main drawbacks, which restricts its applications. Thermal treatment is one of the effective methods to improve the dimensional stability of wood. GLGU9 wood was treated using thermal modification with palm oil. The oil was used as a heating medium and a shielding material at temperatures of 150, 170, 190, 200, and 210 °C, at various treatment durations of 1.5, 3, 4.5 and 6 h. To investigate the effect of palm oil thermal treatment on dimensional stability, the anti-shrink efficiency (ASE1) and anti-swelling efficiency (ASE2) were examined. The results indicated that the ASE1 and ASE2 were increased by 62.8% and 56.6% at 210 °C for 6 h treatment, respectively.

Remote sensing data from Space for road image recognition in the forestry

Paper presents an overview of history and current research state on the use of remote sensing data from space to recognize roads for the regional projects in the forestry. We reviewed the principles of road detection on the optical satellite imagery. Group of direct recognition features used in combinations such as brightness and texture, geometry and brightness. Three research directions with examples were identified: visual roads recognition, use of special software and libraries for developers, and neural networks. For the road network detection we have described methods and software, type and spatial resolution of imagery. Road image recognition based on the optical survey from the open and commercial sources, machine learning methods and neural networks. Up-to-date tasks of road recognition are the following: evaluation of road surface condition, modeling of existing roads location, designing and building new roads, roads seasonality. A functional summary of MapFlow plugin for road recognition in Open Source QGIS is given. Paper is a part of regional forestry transport modeling project to access the forest fires and forest resources by ground means.

Exploring the Measurement of Regional Forestry Eco-Efficiency and Influencing Factors in China Based on the Super-Efficient DEA-Tobit Two Stage Model

This paper adopts the super-efficient DEA (data envelopment analysis) model to measure the forestry eco-efficiency (FECO) of 30 Chinese provinces and cities from 2008 to 2021, and then introduces the Tobit model to explore the influencing factors of FECO to better understand the sustainable development level of forestry. It draws the following conclusions: (1) The average value of FECO in China is 0.504, which is still at a low level, and the FECO of each region has significant regional heterogeneity; the provinces with higher FECO are mainly concentrated in the eastern region, while the FECO of the central and western regions is lower; (2) In terms of the main factors affecting FECO in China, the regression coefficients of market-based environmental regulations are significantly positive in the national, eastern and central regions, while they are significantly negative in the western region. The coefficient of impact of scientific research funding investment on forestry industry eco-efficiency is negative and shows a significant promotion effect in the eastern region, but the elasticity coefficient in the central and western regions is negative but not significant. Economic development has a positive but insignificant effect on FECO, with the eastern region showing a positive correlation, while the central and western regions are insignificant. Industrial structure has a significant negative effect on FECO in the national, eastern and central regions, but the effect of industrial structure on FECO in the western region is not significant. The effect of foreign direct investment on FECO was negative for the national, central and western regions, but the central region did not pass the significance test, while the eastern region reflected a significant promotion effect.

Traditional ecological knowledge in forestry: Trends and prospects

Ensuring the protection of natural environments is vital for the prosperity of future generations. In all forested regions of the globe, local traditions have been essential in creating healthy human-forest relationships. These practices can be summed up as Traditional Ecological Knowledge (TEK), forming an increasingly important factor to consider when developing practical and effective forestry policy. Despite the international community’s gradual acceptance of TEK as a valid policy guide, the field of forestry in many regions of the world continually ignores this crucial concept. As such, many forest ecosystems are harvested in ways that do not reflect the values of local - and often indigenous - communities, resulting in socio-economic divisions and unsustainable environmental degradation. This paper examines the state of TEK in the forestry sector through conducting a comprehensive literature synthesis of thirty-six published papers. Based on trends within the selected literature, the majority of articles identify TEK as providing social, political and economic benefits to the forestry sector. The literature also indicates that governmental and non-governmental forestry actors have and continue to neglect TEK as a policy tool, with 72% of the works examined directly discussing the damaging effects of this trend. The implications of these results are discussed in the light of temporal issues relating to the forestry sector, providing an impetus for both academics and leaders in forestry to consider the importance of TEK in policy and research.

STATЕ OF NATURAL OAK FORЕSTS OF ZHMERYNSKE FORЕSTRY

The article shows the problems of researching the state of natural oak forests of the branch "Zhmerynske LH", which is in the functional structure of the regional forestry and hunting economy department of Vinnytsia region. In the research material of the article, an analytical review of the specialized enterprise's forest management database is carried out. The result of the analysis of forest management data and visual inspection within the forest areas of the Zhmerynske Forestry Branch is the determination of the taxonomic indicators of oak forest plantations of seed and vegetative origin. The preserved natural oak stands within the forest areas of the branch "Zhmerynske Forestry" grow in optimal forest and vegetation conditions. The vast majority of natural oak stands grow in fresh hornbeam forests and less in wet hornbeam forests. It has been established that natural oak forests within the forest fund of a forestry enterprise are represented by vegetative and seed plantations by origin. Analytical data show that there is a tendency to reduce the share of natural oak forests within the enterprise. It has been determined that the enterprise is dominated by oak forests of natural origin with a share of 9-10 units of oak, mostly 110 years old. The area of these plantations is the maximum and amounts to 159.3 hectares. It was found that the oak stands are characterized mainly by the 2nd class of bonita. The average stock ranges from 310-342 m3/ha. The result of the research is the establishment that in natural oak forests there is almost no sustainable natural regeneration of the main forest-forming species. Also, based on visual inspections, it was found that in the conditions of fresh pile, natural regeneration of oak is not found in the existing forest types.

Использование данных дистанционного зондирования Земли из космоса для распознавания изображения дорог в лесном хозяйстве

Paper presents an overview of history and current research state on the use of remote sensing data from space to recognize roads for the regional projects. We have characterized principles of road detection on the imagery. A group of direct deciphering signs used in combinations such as brightness and texture, geometry and brightness. Three research directions with examples identified: visual roads recognition, use of special software and libraries for developers, and use of neural networks. For the road network detection we have described methods and software, type and spatial resolution of imagery. Road image recognition based on the optical survey from the open and commercial sources, machine learning methods and neural networks. Actual tasks of road recognition are the following: evaluation of road surface condition, modeling of existing roads location, designing and building new roads, seasonality of roads use. A functionality summary of MapFlow plugin for road recognition in Open Source QGIS is given. Paper is a part of regional forestry transport modeling project to access the forest fires and forest resources by ground means.

Influence of Additional Income Employees and Discipline on The Performance of Employees of The Regional Forestry Service of North Sulawesi Province

To improve professional productivity and growth in the discipline of civil servants, then guidelines are set as a reference for measuring the performance and Discipline of civil servants in the North Sulawesi Provincial Government as part of the consideration of providing additional income for civil servants (North Sulawesi Governor Regulation Number 72 of 2017 concerning Accountability). The type of study used is descriptive research with a quantitative analysis approach where the. The results, especially those obtained from the questionnaire, are processed with statistical data and the percentage of respondents' answer modes in a single table. To collect data in this study, the following techniques were used: The following techniques were used to distribute questions to respondents, who were determined based on the number of samples. The data analysis technique used by the author in this study is a quantitative data analysis technique. In this study, using numbers and drawing conclusions from the research results were analyzed as a presentation through analysis. Based on research conducted on 30 employees of the Forestry Service of North Sulawesi Province, so could conclude that Incentive positively affects employee performance. Based on research conducted on 30 North Sulawesi Provincial Forestry Service employees, it can be concluded that Work Discipline positively affects employee performance. Based on research conducted on 30 employees of the Forestry Service of North Sulawesi Province, it can be concluded that incentives and Discipline work together significantly affect employee performance.

Predicting temperature and rainfall for plantation forestry in Mpumalanga, South Africa, using locally developed climate models

Climate is known to impact the growth of plantation forests in South Africa. To characterize the conditions, this study developed temperature and rainfall models for specific plantations in the Lowveld Escarpment and Highveld forestry regions of South Africa. Global position, altitude, slope, aspect, and topographic position indices were considered when developing the models. Seasonal minimum (Tmin) and maximum (Tmax) temperature models were developed using observations obtained from 43 weather stations for the period 2013 until 2019. Out of six models which were initially evaluated, two machine learning models, random forests and linear-based, were selected for further scrutiny. R-square values for models predicting Tmin on the Lowveld Escarpment ranged from 0.64 to 0.89 for seasonal models. For the Highveld, seasonal models to predict Tmin had R-square values ranging from 0.47 to 0.84. Seasonal Lowveld Escarpment Tmaxmodels were also significant with R-square values ranging from 0.76 to 0.89. The equivalent models for the Highveld had R-square values ranging from 0.54 to 0.83. Rainfall models were developed from 69 rainfall stations spanning a twenty-year period (1999 – 2019). Multiple median linear regression was used to model mean seasonal rainfall (Pmedian) with R-square values ranging from 0.87 to 0.90. These findings demonstrate that it is possible to develop accurate local climate models using global positioning and local terrain features. Comparing the models to transformed WorldClim 2.1 predictions, it was found that the majority of the newly developed climate models were more accurate than the global models, with the exception of minimum temperature models which was marginally better. However, the tranformed WorldClim 2.1 predictions were surprisingly accurate. The local climate models use a finer scale, and they improve the understanding of how terrain features impact regional climate and historic tree growth. In addition, the finer scale models give insights into the relationship between the local terrain condition and regional climate. It is also likely that these models can be used for other forestry regions within Southern Africa, and similar approaches may be relevant globally.

The impact of soil, altitude, and climate on tree form and wood properties of plantation grown Pinus patula in Mpumalanga, South Africa

Abstract Plantation forests were originally established in South Africa to meet an increasing demand for solid wood products as there was a limited supply from native forests. The majority of the commercial softwood plantations were established with Mexican Pinus patula. Since growing conditions are known to impact tree growth, tree form, and wood quality of P. patula, sample plots were established over a cross-section of plantations in the Lowveld Escarpment and Highveld forestry regions of South Africa that covered an array of geologies and altitudes. Each sample plot was classified according to soil properties, rainfall, and temperature, and trees within the plots were measured for growth, form, and wood properties. Soil, growing days, and temperature were found to have little impact on tree form and wood properties. However, rainfall and specifically, spring rainfall, was found to have a highly significant impact on late wood formation, proportion of juvenile core, and wood density. In addition, tree height was found to be strongly correlated with maximum annual temperature.

Understanding Information Technology for increasing Professionality of The State Civil Apparatus in The Regional Forestry Office of North Sulawesi Province

Desired goal achieved by one organization Governance is heavily influenced by quality role Apparatus State Civil. Where is development will could be done in accordance destination if Source Human Resources (HR) used adequate, fine that implementation development National and Regional level. Development this Source Power Humans who are something must absolute both facing _ demands Duty or now and in times to come. Government institutions need human resources who can carry out good governance by utilizing information and communication technology in order to provide better public services. Because the higher the quality of Human Resources, the better the performance, especially in terms of public services now. With existence Settings management Source Power Man in a manner professional, then officials expect _ State Civilians can give maximum contribution as has been expected. However, based on observation beginning researcher that work professional level employee at the forestry office North Sulawesi province still less and need there is study more carry on is ASN professionalism in the Service has problem in connection with professionality work. Method study in Thing this working for answer problem. So, type study this use type study or method study qualitative. Method model study this usually used performance observation and research social. professionalism be measured from terms: Competence Employees, Effectiveness Employee, Efficiency Employees, and Employee Responsibilities. Based on results discussion that has been writer present in chapters before, then writer d concluded that Professionalism Employee Apparatus State Civil Service (ASN) at the Regional Forestry Service of North Sulawesi Province walk with Professional only just needed a number of improvements.

The Role of Natural Resource Valuation in Australian Regional Forestry Management

Wildfires during the 2019–2020 Australian fire season killed 33 people and more than 1 billion animals, destroying almost 40 million acres of bushland and more than 3,500 homes. The objective of this analysis is to identify regional forestry management weaknesses that may have exacerbated these losses, focusing on economic components of existing Regional Forestry Agreements (RFAs). I accomplish this objective by reviewing the RFA development process, mapping RFA content to international climate change frameworks, and comparing RFA contents with pertinent economic literature findings. I find that RFAs’ development and implementation relied on market valuation of forest products while excluding nonmarket environmental values. The connections from RFAs to international climate and domestic wildfire policy were weak. Furthermore, RFAs disregarded moral hazard around plantation forest management and wildfire mitigation risk. Future RFA development needs to include nonmarket valuation of a suite of environmental resources, recognition of dynamic wildfire risks in the midst of climate change, precise descriptions of private and federal plantation forest wildfire prevention responsibilities, and explicit connections between RFAs and state and federal policy to mitigate wildfire risk.

Soil-borne Calonectria (Hypocreales, Nectriaceae) associated with Eucalyptus plantations in Colombia.

Eucalyptus spp. are widely planted in Colombia as an important component of a growing paper and pulp industry. Leaf and shoot blight caused by Calonectria spp. was one of the first disease problems to emerge in these plantations. A survey of Eucalyptus plantations in four forestry regions of Colombia during 2016 resulted in a large number of Calonectria isolates from soil samples collected in the understories of trees having symptoms of Calonectria leaf and shoot blight. The aim of this study was to identify and resolve the phylogenetic relationships for these isolates using DNA sequence comparisons of six gene regions as well as morphological characters. From a collection of 107 isolates, seven Calonectria species residing in three species complexes were identified. Two of these represented undescribed species, namely C.exiguispora sp. nov. and C.guahibo sp. nov. Calonectriaparvispora and C.spathulata were the most commonly isolated species, each of which accounted for approximately 30% of the isolates. The results suggest that Colombia has a wide diversity of Calonectria spp. and that these could challenge Eucalyptus plantation forestry in the future.

A Plan to Exclude Ethnic Groups and Implement Partial Development Programme Under ‘Pradhan Mantri Ujwala Yojana’ in the Indian Subcontinent: A Case Based on Madurai District in Tamil Nadu

Madurai district in Tamil Nadu consists of three forestry regions such as Kurinji Nagar, Alagammalpuram and Mokathanparai as the residence of ethnic groups. The central scheme Pradhan Mantri Ujjwala Yojana (PMUY) found that it has no beneficiaries from the regions, and as usual the ethnic groups consume firewood with several difficulties. Hence, the study focuses on cooking energy consumers among ethnic groups as beneficiaries in detail under PMUY. A total of 108 households were chosen for the analysis which is the actual total number of households of ethnic groups in the district. Collected data have been tested by statistical tools, such as Chi-square and ANOVA, to know the relationship and the efficiency of factors, which influences the results that a majority of ethnic groups are expected to benefit under PMUY with free of cost, and they face climatic difficulties in traditional energy consumption.

Дистанционный мониторинг государственных защитных лесных полос степной зоны европейской части России

State forest shelterbelts are not only one of the components of the ecological framework of sparsely forested steppe territories, but also represent a unique object of steppe afforestation. Age-related changes and a long-term absence of forestry impact negatively affected the sanitary condition of plantations of the state forest shelterbelts. The research is aimed at assessing the current state of the plantations that form the shelterbelts in different soil and climatic conditions in the steppe zone of the European part of Russia. The plantations of the coastal state forest shelterbelts “Voronezh – Rostov-on-Don”, “Belgorod – Don River” and watershed “Volgograd – Elista – Cherkessk” were the research object. The expediency of using the method of remote sensing of the Earth is due to the significant extent and differences in the state of the research object in different soil and climatic conditions. An analysis of the natural conditions of the research region made it possible to determine the boundaries of 5 forestry regions on the main subtypes of zonal soils: ordinary chernozems, southern chernozems and dark chestnut soils; chestnut soils; light chestnut soils with the presence of solonetz and sometimes solonchak soils; and also on azonal sandy soils. Based on the data of our own field surveys of artificial plantations, the interpretation of space images of state forest shelterbelts was carried out using the learning algorithm and spectral indices in the ENVI 5.2 software package. As a result of interpretation, it was found that the safety of state forest shelterbelts decreases as forest conditions become more severe from ordinary chernozems to light chestnut soils from 92.3 to 36.5 %. Oak forests, ash forests, and elm forests predominate in the species composition on zonal soils, and pine forests predominate on azonal soils. With the deterioration of forest site conditions, the share of oak in plantations decreases, it is replaced by elm, the density of plantations decreases. Forest strips on chernozems, dark chestnut and sandy soils are also the most prosperous in sanitary terms. Plantations growing on chestnut and light chestnut soils are characterized by digression increasing with age or complete decay of the forest environment. The conducted research allows to identify the location of plantations in the stage of degression or decay within the state forest shelterbelts, and to recommend for them the nature and volume of forestry impact for the conservation and restoration of the forest.

Developing a New Model for Ecological Capability Evaluation of Forestry in Arid and Semi-Arid Regions

Forest planning is a necessary requirement for long-term, economically efficient and environmentally responsible forest management and use. Iran has 12 million ha of forest cover, with 5 million ha in the mountainous Zagros area. Many of the improper uses in these forests, so far removed from the past, have resulted in significant degradation. The purpose of this paper is to check and compare the prepared methods, including the Iranian Ecological Model (with seven classes using Boolean logic), its revised method (with four classes using Boolean logic and four classes using geometric mean evaluation, as well) and a new model for ecological capability evaluation for better planning management for commercial and conservational forestry in Jahrom County located in Fars Province, Iran. In this study, we assessed the potential for conservational forestry in two ways: first, by adjusting the quantitative evaluation threshold of the model’s primary topographic criterion, and then, by removing this criterion altogether. It is worth noting that the necessary information, including climatic, topographic, soil and other types, was compiled by national and local organisations in Iran for the research. The improved Boolean technique (with [Formula: see text]) outperformed the Iranian Ecological Model (with [Formula: see text]), while the revised method using geometric mean assessment and calibration (with [Formula: see text]) outperformed the other methods tested. Furthermore, when all of the forestry capacity maps were compared, conservational forestry map demonstrated a higher capability after removing the topographic criterion in the region (with [Formula: see text] for calibration technique), indicating conservational forestry’s potential in Jahrom County. Overall, because of its simplicity and excellent precision, this study may be utilised as a fundamental framework to evaluate ecological capability for other locations with similar conditions, and this model can help users and administrations undertake executive initiatives.