Sustainable Management Of Forest Resources Research Articles

Assessing the Implications of Deforestation and Climate Change on Rural Livelihood in Ghana: a Multidimensional Analysis and Solution-Based Approach.

The Ashanti region in Ghana, abundant in natural resources such as forests and vegetation biomes, significantly supports the livelihoods of a significant portion of the population. The sustainable management of forest resources remains a significant challenge to achieving environmental and economic growth and poverty alleviation. The study aims to identify the drivers of deforestation and assess its impact on the livelihoods of the poor and vulnerable communities in the Ashanti region. The study utilized qualitative and space-based data to examine the patterns of vegetation cover and deforestation from 2000 to 2020. The results revealed moderate to sparse vegetation in Ashanti from 2002, 2005, 2011, 2015, 2017, and 2018, with no vegetation in the northcentral part, attributed to climate change, agricultural practices, government policies, and deforestation-related disasters. The study found a significant correlation (R² = 0.8197) between years and deforestation areas, especially in 2018 at around 16,000 Sqkm, indicating an exponential increase with severe implications for sustainable livelihoods. Much of these changes were reflected in 2020 with a high peak of deforestation towards the southeastern parts of the region. Additionally, the results show that the poor groups are not passive actors but are actively involved in identifying systems and processes through which to build their adaptive capacity and resilience to environmental and climate change-induced changes. The findings provide evidence-based and all-inclusive approaches that would encourage vulnerable and marginalized groups to participate in the co-production and co-creation of policies and strategies. This outcome is geared towards transformative and sustainable communities while ensuring efficient and effective response and recovery capacities of deforested lands.

Research Advancement in Forest Property Rights: A Thematic Review over Half a Decade Using Natural Language Processing

This paper proposes a thematic literature review of advances in the literature on forest property rights over the first half of this decade. From a methodological point of view, we exploited a corpus of scientific articles published between 2019 and 2023, extracted from the Scopus and Web of Science databases. We then performed a co-word analysis using the Louvain algorithm to reveal thematic clusters. This approach enabled us to identify seven distinct trends over the past half-decade, each highlighting specific aspects and geographical diversity of forest property rights, which were then evaluated using a thematic map. The main findings revealed that (policies, livelihoods and agroforestry) and (institutions, sustainability and non-timber forest products) stand out as central and influential themes, which have a significant impact and present notable advances that have shaped recent discussions and practices. Furthermore, themes (forest policy and resource management) and (conservation and the rights of indigenous communities) are well developed, which have a solid research base, offering an in-depth understanding of the relevant research questions. Conversely, themes (institutional change and forest conservation) and (deforestation, indigenous rights and community management) represent emerging themes, which are receiving increasing attention and are likely to become major of focus. In contrast, (forest governance, community management and land conflict resolution) which indicates a waning influence in terms of miscellaneous implications. The findings of this thematic literature review will help guide policymakers, researchers, and practitioners based on recent developments in international forest property rights, during a half-decade marked by a break with previous trends, leading to legislative changes and strategic adaptations essential for the sustainable management of forest resources, bolstered by technological advancements and environmental efforts.

Examining spatial and social characteristics of customary trees owned by villagers on public forestlands in Jharkhand, India

Tree ownership is typically tied to land ownership in many societies worldwide. Still, in India, tribal communities have customary ownership over trees in public forestlands, raising questions about what those trees are, where they are located, their characteristics, and whether socioeconomic factors influence their distribution and density. To address these questions, we conducted household interviews and a Global Positioning System (GPS) mapping in Sahritola, a village in the State of Jharkhand, India. We employed Kruskal Wallis, Spearman correlation, and Moran's Index to analyze the collected data. The villagers have been protecting and managing over 18,000 trees in public forestlands, including species such as asan (Terminalia tomentosa), sal (Shorea robusta), and mahua (Madhuca longifolia). Over 80 % of those trees are under individual ownership, while around 20 % are under shared ownership. Additionally, over 60 % of households owned between 100 and 500 trees. Customarily-owned tree species sharing similar characteristics (e.g., height, crown width, and diameter-at-breast-height) tend to cluster together. The number of customarily owned trees is influenced by their economic value and socioeconomic factors (e.g., religion, forestland, etc.). Additionally, the type of customary ownership (individual or shared) influences the characteristics of trees. This study could guide policymakers in potentially developing forest policies that consider the concept of customary tree ownership to promote sustainable management of forest resources in India and beyond.

Fractional order forestry resource conservation model featuring chaos control and simulations for toxin activity and human-caused fire through modified ABC operator

In this work, we proposed a nonlinear mathematical model with fractional-order differential equations employed to illustrate the impacts of depleted forestry resources with the effect of toxin activity and human-caused fire. The numerical and theoretical outcomes are based on the consideration of using a modified ABC-fractional-order depleted forestry resources dynamical system. In the theoretical aspect, we examination of solution positivity, existence, and uniqueness it makes use of Banach’s fixed point and the Leray Schauder nonlinear alternative theorem. The consecutive recursive sequences are purposefully designed to verify the existence of a solution to the depletion of forestry resources as delineated. To showcase the specificity and stability of the solution within the Hyers–Ulam framework, we employ the concepts and findings of functional analysis. Chaos control will stabilize the system following its equilibrium points by applying the regulate for linear responses technique. Using Lagrange polynomials insight of modified ABC-fractional-order, we conduct simulations and present a comparative analysis in graphical form with classical and integer derivatives. Results also demonstrate the impact of different parameters used in a model that is designed on the system, they provide more understanding and a better approach for real-life problems. Our results demonstrate the significant effects of toxic and fire activities produced by humans on forest ecosystems. More accurate management techniques are made possible by the modified ABC operator’s effectiveness in capturing the long-term effects of these disturbances. The findings highlight how crucial it is to use fractional calculus in ecological modeling to comprehend and manage the intricacies of forest preservation in the face of human pressures. To ensure the sustainable management of forest resources in the face of escalating environmental difficulties, this research offers policymakers and environmental managers a fresh paradigm for creating more robust and adaptive conservation policies.

Strategic Model for Mangrove Forest Resource Management in Boalemo District, Gorontalo Province

Mangrove forest destruction in Boalemo Regency has increased significantly over the past decade. The condition of mangrove forests has been degraded due to the pressure of population growth, especially in coastal areas. Damage to mangrove forest resources is certainly very dangerous to the ecosystem of fisheries resources, biodiversity and destroys the stability of coastal forests that support the protection of inland and rural agricultural crops. The purpose of this research is to design a model of sustainable mangrove forest resource management strategy in Boalemo District, Gorontalo Province, so that it can be applied as a policy in improving and optimizing mangrove forest resource management efforts in Gorontalo Province. The method used is Interpretive Structural Modeling (ISM). The results showed that there are thirteen sub-elements of program requirements needed to build the model, of the thirteen elements of program requirements there are no sub-elements that occupy quadrant I, in quadrant II there are two sub-elements and in quadrant III there are six sub-elements, in quadrant IV is occupied by five sub-elements which are key elements to build a mangrove forest resource management strategy model.

Correlation of woodfuel production participation among rural households in the drylands of Ethiopia

Woodfuel production and consumption have been a concern for multiple stakeholders involved in household energy use, deforestation, and climate change. While research into the underlying decision-making process is growing, it remains insufficient. Such a study offers opportunities to develop policies that enable diversification of household energy consumption and livelihood options away from woodfuel use. Policymakers often lack an understanding of factors correlated with households' participation in woodfuel production. Therefore, this study examined the correlation between household participation in woodfuel production and factors that influence households' participation in woodfuel production in dryland areas of Ethiopia. Data were collected from 1,114 purposively selected woodfuel-producing and non-producing households through household surveys, key informant interviews, and focus group discussions. The sample included 775 participant households and 339 non-participant households. The collected data were analyzed using descriptive statistics and a binary logistic regression model. The results revealed that drought and related shocks are the main factors that forced households to participate in woodfuel production. The model results indicated that age, education, landholding, livestock holding, production asset value, ownership of improved cook stoves, number of years lived in the area, distance from the forest, access to forest extension, and institutional membership are statistically significant factors that negatively influence household participation in woodfuel production. On the other hand, household expenditure and drought occurrence positively and significantly influence the participation of households in woodfuel production. The findings of the study suggest that sustainable management and utilization of dryland forest resources require considering socioeconomic, demographic, institutional, and environmental factors correlated with households' decisions to participate in woodfuel production. This can be achieved through sound institutional setups and policy frameworks in the sector.

Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach

Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach

Models for estimating the diameter at breast height as a function of the diameter of the stump Pinus taeda L.

The study addressed the use of models to estimate dendrometric variables in a commercial plantation of Pinus taeda L. Allometric relationships were applied to estimate diameter at breast height (DBH) based on stump diameter (SD), providing a mathematical approach to relate these two variables. Additionally, a "conventional" measurement exclusively of DBH was conducted to compare the values obtained with traditional approach to the results of the proposed modeling. The study also explored hypsometric relationships to estimate tree height as a function of DBH, enabling an efficient and economical assessment of tree characteristics in the forest stand. Furthermore, a forest census was conducted in the area, allowing a comprehensive comparison between the methods used and the actual data from the forest stand, reinforcing the importance of these approaches for effective forest resource management. The results showed that the models were effective in estimating volume, basal area, and the number of trees per hectare, with consistent results compared to the forest census. Therefore, the study concludes that stump inventory methods are effective in estimating dendrometric data in Pinus taeda L. plantations, even after forest cutting events, thereby supporting forestry experts in conducting precise assessments in areas with completed timber harvesting and in making informed decisions. This contributes to the effective and sustainable management of forest resources and the enforcement of laws in cases of environmental or economic damage.

Seed Propagation of Carapa amorphocarpa W. Palacios Using Various Treatments of Substrates and Mechanical Seed Scarification in a Nursery in the Andean Area of Northwestern Ecuador

Carapa amorphocarpa W. Palacios is a forest species known solely from Cerro Golondrinas in northwestern Ecuador. The species is threatened due to illegal exploitation of its wood and the encroachment of the agricultural frontier. Although information on its ecology and forestry was presented in 2012, there is still very little information available. This study investigated the effects of various pre-germinative treatments on the seed germination and early growth of Carapa amorphocarpa in a nursery. The treatments included combinations of substrates (forest soil alone and forest soil mixed with sand), along with pre-germinative mechanical seed scarification. Through these treatments, the seeds’ germination capacity, growth potential, and survival rates were evaluated in a nursery. Seed germination was found to be cryptocotylar hypogeal, commencing at 41 days and achieving an average of 83.13%. Survival of germinated seedlings was 99.23% at 60 days after germination. Furthermore, a high degree of correlation in growth was observed between basal diameter and plant height (R = 0.94). The mean values for the plants’ basal diameter and total height were 0.91 cm and 50.48 cm, respectively, at 60 days. Plant form was straight with excellent health. These insights offer the potential to enhance species populations, mitigate threat risks, and in the long term, foster sustainable use of Carapa amorphocarpa genetic resources. Moreover, this seed propagation information can be leveraged for other species within the genus exploited for oil extraction from their seeds, thereby broadening knowledge and facilitating sustainable forest resource management.

Local Community Attitude towards Forest-Based Ecotourism Development in Arbegona and Nensebo Woredas, Southern Ethiopia

Understanding local community awareness and attitude towards forest-based ecotourism welfare is an important input for policymakers to develop and implement sustainable forest resource management strategies. However, the local community’s awareness and attitude towards forest-based ecotourism development have been poorly assessed and documented in remote areas. To this end, the present study assessed the local community’s awareness and attitude in Arbegona and Nensebo woredas’ forests, southern Ethiopia, towards ecotourism development. Household and key informant interviews and focus group discussions were used to collect data. Results indicated that more than half (57.9%) of the respondents expressed a negative attitude towards forest-based ecotourism development. The educational status of the respondents, their age, presence of conservation measures, source of energy for household consumption, and biophysical and socio-cultural variations in the study sites are significantly associated with local communities’ attitudes that have been exhibited towards the development of ecotourism and conservation of forest resources. Creating awareness through persuasion and communication of new and well-suited information, promoting alternative livelihood options, encouraging local benefits from the conservation of forest resources, and compensating costs induced by wild animals can minimise negative attitudes, thereby contributing to the enhancement of local communities’ positive attitudes towards forest resource conservation.

A thorough assessment of various forest management planning initiatives and development of improvement strategies towards an ecosystem-based planning

Management planning for forests in Turkey has undergone gradual evolution over the last century. Developing and implementing a comprehensive management planning framework present significant challenges. This paper evaluates the effectiveness of various forest management planning approaches implemented across the country over different time periods, with overarching planning principles. It formulates a robust planning framework and proposes improvements grounded in scientific advancements and international standards. The assessment indicated that the management plans were developed using reputable scientific methods and principles aimed at ensuring the sustainable management of forest resources with certain strengths and opportunities presented by SWOT analysis. All management plans shared a common planning concept primarily focused on maximizing wood production through the area-control harvest scheduling method (except for continuous cover forest, which employed the single tree selection method). Each management plan established its unique vision, targets, policies, objectives, and planning guidelines. Forest inventory data were gathered through a combination of ground surveys and remotely sensed data to characterize and stratify the landscape. A robust in-house management authority and governance system with appropriate technical capacity and guidelines were developed and implemented, fostering a sound common working culture and tools. However, some notable drawbacks were identified, including political pressure, biomass/carbon accounting, growth-yield modelling, economic analysis, limited characterization of the full range of ecosystem services, risk and uncertainty analysis, food security and, particularly, long-term sustainability and scenario analysis with the appropriate decision-making tools and methods. Despite a few strengths, these limitations may raise concerns about the far-sighted design and application, potentially jeopardizing the sustainable management of forest ecosystems. Proposed improvement strategies for an efficient forest ecosystem management planning system include characterization of ecosystem services, modelling their productivity, scenario analysis with a decision support system, stakeholder involvement, balancing utilization and conservation targets, conducting risk and uncertainty analysis and economic analysis of management actions.

Legal regulation of the use of forest resources

The purpose of the study was to carry out a comprehensive analysis of the legislative framework in the field of forest resource management in Albania in the context of forest ecology, and species diversity, and to identify the main problems and prospects for sustainable development of the country’s forestry. The research methodology included the analysis of statistical data from the National Institute of Statistics of Albania on the structure of forest ecosystems and forms of their management. The results of studies conducted by international organizations such as the World Bank, Global Environment Facility, and Oikon d.o.o. were also used. The structure and composition of Albania’s forest resources, including those of natural and semi-natural origin, are analysed. The legal framework in the field of forest management in Albania is summarized. Different management structures for forestry land are characterized, with the identification of the specifics of use for different forms of ownership. The main problems of forest management are identified, including intensive exploitation of private forests, lack of subsidies and investments, as well as imperfect legislative regulation. Adaptation measures to increase the sustainability of Albania’s forests within the framework of the Albanian Forest Policy Document for the period 2019-2030 are substantiated. Strategic areas of development, such as the expansion of protected areas, the development of ecotourism and the attraction of green investments, are proposed. The study also emphasizes the importance of international cooperation for financial and technical support, which will facilitate the implementation of sustainable forest management practices and biodiversity conservation. The practical significance of the study is that these results can be used to develop strategic directions for the development of the forest sector in Albania, aimed at ensuring sustainable management and conservation of forest resources, which is a key factor for the country’s economic and environmental well-being

Kajian Alternatif Proyeksi Jaringan Jalan Hutan untuk Perencanaan Pemanenan Kayu di PT Inhutani I Labanan, Propinsi Jawa Barat

Forests are one of the natural resources that can be utilized in the form of both wood and non-wood forest products. Harvesting carried out to extract wood results in negative impacts such as soil damage and damage to standing stands. The negative impacts of wood harvesting can be reduced by planning in advance, such as creating a forest road network. The research was carried out in the mahogany room, utilization division, forest management department, while the assessment of the forest road network used the case study of PT Inhutani I Lebanan. The aim of the research is to examine the planning and selection of the best alternative forest road network for harvesting wood using multi-criteria decision making techniques. The research will be carried out in March 2023. The research stage begins with sketching the road network; assess road networks using economic, ecological and technical criteria; as well as conducting literature studies from various sources. The research results show that there are six alternative forest road networks for harvesting wood. This is based on forest road network assessment parameters that the best alternative road network in the PT Inhutani I Labanan road scheme is the 6th road network alternative. Sustainable management of forest resources can be achieved through a well-planned road network. The highest total utility value (rank 1) is found on the 6th road network which is the best alternative forest road network to be implemented at PT Inhutani Labanan I both in terms of technical aspects, ecological aspects and economic aspects.

Mechanized forestry, machines and mechanisms used for logging and reforestation

Forests are an important component of the ecosystem, playing a key role in maintaining biodiversity and climate resilience. However, due to the growing demand for timber and other forest resources, humanity is faced with the need for effective forest management. Mechanized forestry is a promising approach to improving the sustainable management of forest resources. This article discusses some of the machines associated with the mechanization of reforestation and the historical background of the mechanization of forestry.

Contributions of Community Forestry in Rural Social Transformation: Some Observations From Nepal

This paper examines the contribution of Nepalese Community Forestry in social change process in two central hills districts of Nepal. Analysis of data indicates improvement in forest management, decision making, representation of poor and women in forest management and utilisation, awareness on economic and ecological contributions of forests. Debates and discussionshave increased as regards roles and responsibilities of users as well as mechanisms for gender-sensitive, poverty-focused and equity-based forest management activities. All these factors are contributing to achieve sustainable management of forest resources, to improve the living condition of people and to promote non-coercive social transformation.

Actors participation and power relations of REDD+ implementation in Bale Eco Region, Ethiopia

ABSTRACT The study focuses on actor participation and power dynamics in the REDD+ project within the Bale eco-region, a vital facet of global climate policy for sustainable forest resource management. The Forest Carbon Partnership Facility (FCPF) of the World Bank supports developing countries in preparing for international REDD+ policy implementation, emphasizing the necessity of effective actor participation. The study uses text documents, Socio metric survey, and interviews with project actors and participants. This study employs both qualitative framework and social network analysis (SNA). While SNA looks at power dynamics and interactions between actors, the qualitative framework allows for a comprehensive evaluation of actor participation. The social network data was analyzed using an open source software called NodeXL. Results show that Bale eco-region REDD+ involves actors from different groups. Actors contribute to national strategies, funding, capacity building, and knowledge sharing. However, local communities have limited involvement in decision-making, lack knowledge sharing and capacity building. This hinders the implementation process and contributes to unequal power dynamics and lack the comprehensive input needed for effective and tailored strategies in the region. Calculated centrality values highlight a strong alliance among Ethiopia's national government entity overseeing REDD+ Environment, Forest and Climate Change Commission (EFCCC), and the regional entities Oromiya Forest and Wildlife Enterprise (OFWI), as well as Farm Africa, indicating significant institutional power across national and local levels. EFCCC holds influence in decision-making and strategy development, while OFWI wields substantial regional institutional power in information control and collaboration. Thus, climate policies must prioritize involvement of local communities in decision-making, capacity development, and resource accessibility. This helps to tackle power imbalances through collaborative governance structures. It also enables stakeholders to actively manage forests through imparting skills, knowledge and share benefits equally.

Harmonised statistics and maps of forest biomass and increment in Europe

Forest biomass is an essential resource in relation to the green transition and its assessment is key for the sustainable management of forest resources. Here, we present a forest biomass dataset for Europe based on the best available inventory and satellite data, with a higher level of harmonisation and spatial resolution than other existing data. This database provides statistics and maps of the forest area, biomass stock and their share available for wood supply in the year 2020, and statistics on gross and net volume increment in 2010–2020, for 38 European countries. The statistics of most countries are available at a sub-national scale and are derived from National Forest Inventory data, harmonised using common reference definitions and estimation methodology, and updated to a common year using a modelling approach. For those counties without harmonised statistics, data were derived from the State of Europe’s Forest 2020 Report at the national scale. The maps are coherent with the statistics and depict the spatial distribution of the forest variables at 100 m resolution.

Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning

Detailed forest inventories are critical for sustainable and flexible management of forest resources, to conserve various ecosystem services. Modern airborne laser scanners deliver high-density point clouds with great potential for fine-scale forest inventory and analysis, but automatically partitioning those point clouds into meaningful entities like individual trees or tree components remains a challenge. The present study aims to fill this gap and introduces a deep learning framework, termed ForAINet, that is able to perform such a segmentation across diverse forest types and geographic regions. From the segmented data, we then derive relevant biophysical parameters of individual trees as well as stands. The system has been tested on FOR-Instance, a dataset of point clouds that have been acquired in five different countries using surveying drones. The segmentation back-end achieves over 85% F-score for individual trees, respectively over 73% mean IoU across five semantic categories: ground, low vegetation, stems, live branches and dead branches. Building on the segmentation results our pipeline then densely calculates biophysical features of each individual tree (height, crown diameter, crown volume, DBH, and location) and properties per stand (digital terrain model and stand density). Especially crown-related features are in most cases retrieved with high accuracy, whereas the estimates for DBH and location are less reliable, due to the airborne scanning setup.

Climate sensitive growth and yield models in Canadian forestry: Challenges and opportunities

Growth and yield models in forest management planning are used to project future forest conditions and estimate quantities such as wood volume and biomass. These models are crucial for assessing forest sustainability, however, some models currently used in Canada do not adequately account for climate and other environmental variables, which limits their effectiveness under a changing climate. Climate-sensitive growth and yield models (CSGYMs) are therefore urgently needed to support forest management decisions. The Canadian Forest Service (CFS) has developed a strategic plan to advance climate-sensitive growth and yield modeling in Canada through collaboration with provincial and territorial agencies, as well as other partners. The primary objective of this plan is to provide a national-level modelling approach to predicting and managing forest growth, mortality, and other ecosystem services. The climate sensitive growth and yield modelling initiative emphasizes collaboration, open data, and open-source code principles to ensure widespread accessibility and uptake of models, thus contributing to the sustainable management of forest resources. This technical review reports on the status of growth and yield models currently applied in each province and territory, assesses the level of climate sensitivity associated with each of these models, synthesizes the relevant modeling approaches and input data required to implement climate sensitivity into these models, and suggests possible pathways for achieving CSGYM at a national scale. Widespread collaboration will be the key to advancing the development of CSGYMs.

Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute mapping using deep neural networks

Capturing subcanopy forest information from airborne laser scanning (ALS) is constrained by signal occlusion. This study demonstrates the potential of close-range terrestrial laser scanner (TLS) scanning to mitigate the constraints of ALS in acquiring stem-level forest attributes. A transformer-based neural network was adapted to classify and segment 3D individual trees from ALS data. A deep neural network combined with a gaussian process layer was proposed to estimate tree diameter-at-breast-height (DBH) from ALS data. The performance of these methods was compared to other benchmarked methods using the same dataset, including a total of seven classifiers, five segmentors, and six attribute regressors. The study was conducted across four ALS sample areas and ten combined TLS/ALS plots, primarily in montane forests. Manual delineation of TLS trees provided a precise validation reference. The proposed methods demonstrated high accuracies, with a mean intersection-over-union (mIoU) of 0.92 for ALS tree classification, 0.70 for tree segmentation, and a RMSE of 4.2 cm or 18.9 % for DBH estimation on average of the ten plots. Tree detection accuracy was strongly associated with the final segmentation accuracy. Factors such as tree height, overlapping, inclination, and neighboring conditions impacted segmentation accuracy. Our segmentation method effectively mitigated accuracy loss for short and occluded trees. Overall, this study presents scalable and cost-effective solutions for TLS calibration of ALS scans over two meso-scale montane valleys. Leveraging deep neural networks enables scaling of stem attributes to landscape scales, thereby linking fine-scale forest inventory with sustainable management of expansive forest resources. Our codes are available at https://github.com/truebelief/artemis_treescaling.