Forest Values Research Articles

1996-2018 Yılları Arasında Orman Ekosistemi Fonksiyonlarındaki Mekansal-Zamansal Değişimlerin Karşılaştırılması: Türkiye'den Bir Örnek Çalışma

The objective of this study was to determine the temporal changes in forest ecosystem values (economic, ecological, and socio-cultural functions) for the 1996, 2009 and 2018 planning periods. For this purpose, forest management plans and forest cover type maps were used to reveal the changes in forest ecosystem values for the planning periods. Temporal changes in forest ecosystem functions were discussed in terms of economic, ecological and socio-cultural functions which are three essential functions. There has been a decrease in the amount of area for economic purposes in the region in the following planning periods. A general decrease in areas for economic purposes and a general increase in areas for ecological purposes were determined during the planning periods. While there was not any area for socio-cultural purposes in the 1996 planning period, there was an area of 1631 ha in the 2009 planning period and 1575 ha in the 2018 planning period. Demands of the society and the changes in forest management planning approaches over time, changes have occurred in forest functions. Depending on these changes, decreased in production forests and increases in non-production forests (ecological and socio-cultural) were observed.

Optimizing Bucking Decisions in Korean Red Pine: A Dynamic Programming Approach to Timber Profitability

Poor bucking decisions in forest stands can result in underestimating the profitability of timber sales. This study focuses on Pinus densiflora, commonly known as a red pine in Korea, which has often been underutilized as pulp and chips, leading to reduced profit margins. This study aimed to improve bucking decisions for red pine by analyzing the potential values in different log types and the profitability of manufacturing lumber products compared to pulp chips. A log sawing simulation model was developed using dynamic programming. This study optimized sawing patterns and estimated net profits for varying log sizes within the lumber market in Korea. The findings reveal that manufacturing lumber products from 3.6 m and 2.7 m logs can yield net profits 861% and 723% higher, respectively, than producing pulp chips from 1.8 m logs. Notably, sawing 3.6 m logs resulted in an average net profit 24% higher than from 2.7 m logs. These results advocate for more strategic bucking decisions based on potential timber sale profits and the end-uses of logs, especially in trees with large diameters at breast height (DBH), which can produce high-quality logs and should be bucked into long sawlogs whenever possible. Additionally, the study emphasizes the importance of practicing timber cruise to appraise the stumpage value of forest stands more accurately, moving beyond mere volume estimation to include tree type and expected volume. By implementing these practices, timber sale profits and the overall value of forest stands in Korea can be significantly enhanced. This approach not only benefits the economic aspect of forestry but also encourages sustainable and efficient resource management.

Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm

In recent years, with the development of societies and economies, the demand for social electricity has further increased. The efficiency and accuracy of electric-load forecasting is an important guarantee for the safety and reliability of power system operation. With the sparrow search algorithm (SSA), long short-term memory (LSTM), and random forest (RF), this research proposes an SSA-LSTM-RF daily peak-valley forecasting model. First, this research uses the Pearson correlation coefficient and the random forest model to select features. Second, the forecasting model takes the target value, climate characteristics, time series characteristics, and historical trend characteristics as input to the LSTM network to obtain the daily-load peak and valley values. Third, the super parameters of the LSTM network are optimized by the SSA algorithm and the global optimal solution is obtained. Finally, the forecasted peak and valley values are input into the random forest as features to obtain the output of the peak-valley time. The forest value of the SSA-LSTM-RF model is good, and the fitting ability is also good. Through experimental comparison, it can be seen that the electric-load forecasting algorithm based on the SSA-LSTM-RF model has higher forecasting accuracy and provides ideal performance for electric-load forecasting with different time steps.

The impact of land cover change on the carbon stock of moist afromontane forests in the Majang Forest Biosphere Reserve

BackgorundForest plays an important role in the global carbon cycle by sequestering carbon dioxide and thereby mitigating climate change. In this study, an attempt was made to investigate the effects of land use/land cover (LULC) change (1989–2017) on carbon stock and its economic values in tropical moist Afromontane forests of the Majang Forest Biosphere Reserve (MFBR), south-west Ethiopia. Systematic sampling was conducted to collect biomass and soil data from 140 plots in MFBR. The soil data were collected from grassland and farmland. InVEST modelling was employed to investigate the spatial and temporal distribution of carbon stocks. Global Voluntary Market Price (GVMP) and Tropical Economics of Ecosystems and Biodiversity (TEEB) analysis was performed to estimate economic values (EV) of carbon stock dynamics. Correlation and regression analyses were also employed to identify the relationship between environmental and anthropogenic impacts on carbon stocks.ResultsThe results indicated that the above-ground carbon and soil organic carbon stocks were higher than the other remaining carbon pools in MFBR. The mean carbon stock (32.59 M tonne) in 2017 was lower than in 1989 (34.76 Mt) of MFBR. Similarly, the EV of carbon stock in 2017 was lower than in 1989. Elevation, slope, and harvesting index are important environmental and disturbance factors resulting in major differences in carbon stock among study sites in MFBR.ConclusionsTherefore, the gradual reduction of carbon stocks in connection with LULC change calls for urgent attention to implement successful conservation and sustainable use of forest resources in biosphere reserves.

Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms

Kelp forests are widely distributed across the coastal ocean, support high levels of biodiversity and primary productivity, and underpin a range of ecosystem services. Laminaria hyperborea is a forest-forming kelp species in the Northeast Atlantic that alters the local environment, providing biogenic structure for a diversity of associated organisms. Populations are strongly affected by light availability, temperature, and storm-related disturbance. We constructed a stage-based, two-season model of L. hyperborea populations along the coast of Great Britain and Ireland to predict biomass across a range of depths, drawing on extensive surveys and data from the literature. Population dynamics were driven by wave exposure, historic winter storm intensity, and simulated interannual variation in temperature and depth-attenuated light intensity, with density-dependent competition for light and space. High biomass was predicted in shallow depths across the domain on suitable substrate, with populations extending deeper in the north and west where light penetration was greater. Detritus production was heavily skewed across years, particularly at greater depths, with 10 % of years comprising more than 50 % of detritus on average below 10 m depth. Annual fluctuations in light and storm intensity produced opposing population oscillations with a ∼6-year period persisting for up to a decade but diminishing sharply with depth. Interannual variation in temperature had minimal impact. Biomass was most sensitive to survival and settlement rates, with negligible sensitivity to individual growth rates. This model highlights the need for an improved understanding of canopy and subcanopy mortality, particularly regarding increasingly frequent heatwaves. Estimations of kelp forest contributions to carbon sequestration should consider the high variability among years or risk underestimating the potential value of kelp forests. Process-based simulations of populations with realistic spatiotemporal environmental variability are a valuable approach to forecasting biotic responses to an increasingly extreme climate.

Trade-offs between forest carbon sinks and multidimensional forest values: from assessment to management strategies

Forests are one of the subjects that can effectively mitigate climate change and are important for achieving carbon sequestration. In order to determine the maximum carbon sequestration of forests and the optimal management mode, this paper selected several indicators related to forest carbon sequestration and determined the main influencing indicators and mechanisms through regression significance analysis, and concluded that the selection of forest age and harvesting intensity have an important influence on the carbon sequestration effect and sustainability of forests. Based on the above analysis, we constructed a model of logging intensity and forest carbon sequestration, and brought in the forest data of each province to arrive at the optimal logging intensity of 23%-30%. Second, in order to determine the optimal comprehensive benefits of forests, this paper extends the model to consider forest values in more dimensions and determine the corresponding indicators, and uses the entropy weight method to determine their contribution rates to construct a comprehensive forest evaluation model. Using this model, this study measures and analyzes the Changbai Mountain forest area and Hainan forest area, and then derives the corresponding forest management strategies to maximize their comprehensive benefits.

Saproxylic beetles' morphological traits and higher trophic guilds indicate boreal forest naturalness.

Forests contribute to numerous ecosystem functions and services and contain a large proportion of terrestrial biodiversity, but they are being negatively impaced by anthropogenic activities. Forests that have never been clear-cut and have old growth characteristics, termed "near-natural," often harbor different and richer species assemblages than managed forests. Alternative management strategies may be able to balance the needs of biodiversity with the demands of forestry, but evaluation efforts are limited by the challenges of measuring biodiversity. Species richness is frequently used as a simple measure of biodiversity, but research indicates that it may not adequately capture community-level changes. Alternatively, trait-based measures of biodiversity may prove to be useful, but research is lacking. In this paper, we use a large dataset that includes 339 obligate saproxylic beetle species collected over a decade in the boreal region throughout southern Norway to: (1) establish if there is a difference in beetle community composition between near-natural and managed forests; and (2) determine which measures of beetle biodiversity best indicate forest naturalness. We arranged the sites in an ordination space and tested for differences in community composition between these forest types. We also tested different measures of biodiversity to determine which were the most predictive of forest naturalness. We found a clear difference in community composition between near-natural and managed forests. Additionally, three measures of biodiversity were most predictive of forest naturalness: proportional abundance of predators, community weighted mean (CWM) of wing length, and CWM of body roundness. The probability that a forest was near-natural increased with the proportional abundance of predators but decreased with CWM wing length and body roundness. Although species richness was higher in near-natural forests, the effect was not significant. Overall, our findings underscore the conservation value of near-natural forests and highlight the potential of several measures of biodiversity for determining forest quality.

ANALISIS EVALUASI EKONOMI SUMBER DAYA ALAM DAN LINGKUNGAN DI KABUPATEN KONAWE SELATAN

The condition of natural resources of forests and agricultural land, especially in South Konawe Regency, is currently quite a concern. South Konawe Regency has a forest area with a total area of 475,953 hectares, consisting of natural reserve forests, protected forests, production forests, limited production forests, other use areas, water bodies, community plantation forests, urban forests, mangrove forests and conservation forests. Among the total current forest area, there are 31,874 hectares of critical land and 6,606 hectares of very critical land. The aim of the research is to inventory the potential and management problems as well as the economic value of natural forest and agricultural land resources in South Konawe Regency. The research approach uses 5 (five) approach models, namely the political approach, the technocratic approach, the integrated top-down policy bottom-up planning approach, the participatory approach, and the regional finance approach. The type of research used in this research is qualitative research with a case study method. Research data needs were collected using questionnaires and field surveys. The data analysis methods used include Natural Resource Potential Analysis, Identification of natural resources in forests and agricultural land, as well as total economic analysis or total economic value (TEV) obtained from the sum of values based on use and values based on indirect use. The research results show that the potential forest resources of South Konawe Regency with samples from Wolasi, Laeya, and Tinanggea subdistricts are divided into 4 forest area function classes, namely protected forests, permanent production forests, limited production forests, and national parks. Protected forests covering an area of 11,273.58 ha, limited production forests covering an area of 2,860.99 ha, permanent production forests covering an area of 14,931.17 ha, and national parks covering an area of 9,246.96 ha. Meanwhile, the agricultural potential of South Konawe Regency from the research sample consists of mixed dry land farming covering an area of 14,787.73 ha, dry land farming covering an area of 1,684.39 ha, rice fields covering an area of 17,014.23 ha, and plantations covering an area of 553.44 ha. The economic value of South Konawe district's forest resources is IDR 64,152,630,168.15 per year, while the economic value of agricultural land resources is IDR 9,342,541,716/year.

The importance of recognizing Buffer Zones to lands being developed, restored, or remediated: on planning for protection of ecological resources

ABSTRACT Environmental management relies on many types of information before making decisions regarding remediation, restoration, or other land use decisions, including ecological data, such as risks to species, populations, communities, and ecosystems. The aim of this investigation was to describe the ecological information required within the context of making environmental decisions and providing visual communication tools for regulators, conservationists, and the public to understand the risk to ecological resources on- and off-site. It is suggested that ecological information used in environmental decisions is required to be transparent throughout the planning and execution of a project, which needs to include: 1) ecological information and evaluations within development areas or units (in this case, watersheds), and 2) resources in adjacent areas (Buffer Zones) that might be affected. The Melton Valley administrative watershed (Oak Ridge Reservation, TN) is used as a case study because this site still has active facility development and environmental remediation, and there are important ecological resources on and off-site. Data indicate that although there are important resources on Melton Valley administrative watershed, there are also significant resources in the Buffer Zone around the watershed. Compared to the Melton Valley administrative watershed, the Buffer Zone contains more Interior (and Buffer) Forest and greater value resources. The point is made that when remediation, restoration, or development occurs, it is equally important to consider resources that are adjacent to the site in a Buffer Zone, particularly when remediation and development might continue for many years or decades.

Chromosome-scale genomes of commercially important mahoganies, Swietenia macrophylla and Khaya senegalensis

Mahogany species (family Meliaceae) are highly valued for their aesthetic and durable wood. Despite their economic and ecological importance, genomic resources for mahogany species are limited, hindering genetic improvement and conservation efforts. Here we perform chromosome-scale genome assemblies of two commercially important mahogany species: Swietenia macrophylla and Khaya senegalensis. By combining 10X sequencing and Hi-C data, we assemble high-quality genomes of 274.49 Mb (S. macrophylla) and 406.50 Mb (K. senegalensis), with scaffold N50 lengths of 8.51 Mb and 7.85 Mb, respectively. A total of 99.38% and 98.05% of the assembled sequences are anchored to 28 pseudo-chromosomes in S. macrophylla and K. senegalensis, respectively. We predict 34,129 and 31,908 protein-coding genes in S. macrophylla and K. senegalensis, respectively, of which 97.44% and 98.49% are functionally annotated. The chromosome-scale genome assemblies of these mahogany species could serve as a vital genetic resource, especially in understanding the properties of non-model woody plants. These high-quality genomes could support the development of molecular markers for breeding programs, conservation efforts, and the sustainable management of these valuable forest resources.

The value of tropical forests to hydropower

Tropical forests have a significant impact on rainfall patterns at a continental scale, thereby influencing water supply for energy generation of hydropower plants. I develop a method to value this ecosystem service using an econometric climate model that connects tropical deforestation with rainfall. As an application, I estimate the impact that Amazon deforestation has on the power generation capacity of the Teles Pires hydropower plant in Brazil, one of the ten largest plants in a country where hydropower is the main source of energy. In an ex-post analysis, I map the currently deforested regions in the Amazon with the highest restoration values for the hydroelectric. In an ex-ante analysis, I map the potential cost of deforesting Indigenous Territories. The results provide evidence of the importance of the ecosystem services of tropical forests to the energy sector.

The Transition of Forest Cover and Its Cultural Values in Shrine/Temple Forests in the Mountainous and Foothill Areas of Kyoto City: A Study Based on Topographic Maps and Aerial Photos

There is growing interest in the diverse roles of forests in addressing climate change and biodiversity goals. Recent studies have indicated a disregard for the cultural values of forests that have been formed in close association with human activities. This may potentially lead to the loss of cultural characteristics, traditional forest knowledge, and biodiversity. This study explores historical forest dynamics and their unique cultural values from the end of the 19th century in 15 shrine/temple forests located in the mountainous and foothill areas of Kyoto city. Using geographical information systems (GIS) based on topographic maps and aerial photographs, this study investigates the forest composition in the 1890s, 1980s, and from 2010. The results indicate that approximately half of the targeted shrine/temple forests were composed of low Pinus densiflora forests and coppice forests in the 1890s. Between the 1890s and 1910s, coniferous forests were planted in these areas with the intention of land conservation and timber production. This distinctive forest cover became a typical characteristic for shrine/temple forests until the 1980s. However, from the 1980s, a decrease in the cultural value of shrine/temple forests was observed due to the lack of human activities in these forests. As a result, the distinction between shrine/temple forests and the surrounding forests has become blurred. This could potentially cause the homogenization of cultural characteristics. This study aims to inform readers of the cultural value associated with the historical landscape and biodiversity found in shrine/temple forests.

Fundamental but underrepresented: root carbon stocks in African montane forests

African montane forests harbor some of the greatest biodiversity worldwide, with high levels of species endemism. However, the loss of these forests through fragmentation, deforestation and climate change has been rapidly increasing in recent years. Montane forests in Africa are more susceptible to changes in climate than their lowland counterparts, yet their ecological value is still underrepresented. These montane forests have recently been highlighted as a major aboveground carbon (C) stock. The estimated 149.4 Mg C ha−1 from aboveground live trees surpasses estimates from the Intergovernmental Panel on Climate Change for these endangered forests, and exceeds reported values for neotropical montane and lowland forests by up to 70%. Despite the tremendous implications of these findings, coordinated and available research on the C storage potential of the other share of African montane forest biomass, that is in tree roots, is largely missing. Broadly estimated from the allometry of aboveground C stocks and from root:shoot ratios in lowland forests, more than 60 Mg C ha−1 can be stored in African montane forest roots, about 40% more than previously determined. While this broad estimation points at the potential importance of root C stocks in African montane forests, it also unveils a far-reaching knowledge gap. Here, we advocate for a more quantitative representation of the root C stock from dominant forest tree species of African tropical montane forests and ultimately for a better grasp on tree C stocks from this endangered ecosystem.

Influence of aspect on vegetation dynamics: insights into the understory vegetation diversity of the dry temperate forests of South Waziristan Agency, Pakistan

The dry temperate forests of Pakistan exhibit rich diversity of understory floral species. These important and endemic plant species play a pivotal role in ecosystem functioning and providing livelihoods to the forest communities. South Waziristan, located in the southwest of Pakistan, is known for its rare pure stands of Pinus gerardiana Wallichex. D. Don forests. The rapidly expanding population and current state of affairs are leading to deforestation and causing disturbance to the understory vegetation of this valuable forest. The current study aims to fill the currently scanty information present in the literature regarding the diversity status of understory vegetation in P. gerardiana forests. Data of understory vegetation diversity were gathered for the northern and southern aspects of the forest. A 50 m2 sampling plot along with the placement of fifty 1x1m2 quadrats on both sites were laid out to determine species dominance, diversity, and evenness using Simpson, Shanon, Marglef, and Buzas–Gibson indices. The study depicted 612 individuals of about 29 species representing 23 families from the study site. The most abundant species in all of the sites was Salvia Glutinosa cccIV = 0.52. The southern aspect depicted the lowest diversity, but had high species dominance. Allium carolinianum DC. in this site was the most important species (IV = 0.74). The most abundant species were medicinal plants (75%), followed by edible plants (25%). Aspect had a significant effect on the understory vegetation and different categories of plants with respect to their diversity, dominance, and evenness as predicted by the various diversity indices. This study provides essential insight in to the florisitic diversity and community structure of the fragile pine nut understory vegetation in South Waziristan, which was hitherto not available. It was concluded that the southern aspect of understudy dry temperate forests depicted lower diversity and density as compared with the northern aspect. But it was observed that the southern aspect more specifically had more density and diversity of medicinal plants. It is therefore the need of the hour that conservation of these species from grazing and unsustainable harvesting must be ensured to sustain the livelihood of the inhabitants.

Research on the forest ticket price formation mechanism based on three ecosystem service value pricing methods

PurposeCurrently, there is a conflict in developing countries between the requirements for the self-development of forestry and the insufficient investment in the forestry sector, and the forest ticket system is an innovative forestry management method to solve this contradiction. In the research on the forest ticket system, the study of its price formation mechanism is relatively important. The key issues of the forest ticket system are how to form the forest ticket price and whether the forest ticket pricing methods are reasonable. Solving these problems is the purpose of this study.Design/methodology/approachThis study will use three methods, namely the forest ecosystem service value evaluation index method, the ecosystem service value based on per unit area evaluation method and the contingent valuation method, to study the forest ticket price formation mechanism, filling the gap in the current research on forest ticket pricing methods. It will analyze how these three pricing methods specifically price the forest ticket and evaluate whether these pricing methods are reasonable. This study will then summarize and comprehensively study the forest ticket price formation mechanism and provide policy recommendations for decision-making departments.FindingsThe contingent valuation method and the forest ecosystem service value evaluation index method should be mainly used and given priority in the forest ticket pricing process. When the forest ticket is mainly issued for local residents' willingness to compensate for the forestry ecological value, the contingent valuation method should be mainly considered; when the forest ticket is mainly issued for compensating for the ecological value of local used forest land, the forest ecosystem service value evaluation index method should be mainly considered. The ecosystem service value based on per unit area evaluation method does not need to be the focus.Originality/valueCompared with existing research studies, which focus more on the forest ticket system itself and the definition of forest ticket, this study mainly focuses on the forest ticket price formation mechanism, emphasizing how to form the forest ticket price and whether the forest ticket pricing methods are reasonable, which has a certain degree of innovation and research value and can partially fill the gap in related fields. At the same time, this study has certain help for the enrichment of the forest ticket system and the extension of related research studies.

Wildfires and climate change have lowered the economic value of western U.S. forests by altering risk expectations

There is a lack of evidence regarding how natural resource markets have responded to recent increases in climate-induced extreme events like wildfire. Wildfire can affect the economic value of forests by directly damaging the existing tree stock and by altering landowner risk expectations of future wildfire arrival. This paper uses parcel data over a seventeen-year period to estimate the effects of large wildfires and drought stress on market prices for private timberland across the three Pacific states of the western U.S. In addition to estimating the land price impacts of wildfires on parcels that were directly burned, we identify changes in risk expectations by estimating the impacts from wildfires that burned in close proximity rather than directly on timberland that was sold in the land market. Results indicate that recent increases in large wildfires and drought stress over the past two decades have lowered the economic value of timberland by approximately 10%, or about $11.2 billion in damages across the three Pacific states, with approximately 5.5% (∼$6.2 billion) due to climate change. Most of the wildfire damages arise from changes in risk expectations. Results provide evidence on the costs of climate-induced extreme events on natural capital that have already occurred.

Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessment

Rising natural resource consumption leads to increased hazardous gas emissions, necessitating the concrete industry's focus on sustainable alternatives like palm oil fuel ash (POFA) to replace cement. Also, advanced machine learning (ML) techniques can uncover previously unreported insights about the effects of POFA that may be missing from the literature. Hence, this study investigates the influence of varying concentrations of POFA on fresh and mechanical characteristics with quantifying ML approaches and microstructural performance, as well as the environmental impact of structural concrete. For this, cement substitutions of 5 %, 15 %, 25 %, 35 %, and 45 % (by weight of cement) were utilized. POFA enhanced the overall concrete workability, with slump increments ranging from approximately 9 %–55 % and compacting factor increments of 4 %–12 %. Mechanical performance of POFA concrete improved up to 25 % replacement levels, with the highest enhancements observed in compressive (4.5 %), splitting tensile (36 %), and flexural (31 %) strength, for the mix containing 15 % POFA. The finer particle size of POFA improved microstructural performance by reducing porosity, aligning with the enhanced mechanical strength. The environmental impact of POFA was assessed by measuring eCO2 emissions, revealing a potential reduction of up to 44 %. Incorporating 5 %–15 % POFA yielded ideal mechanical performance results, significantly enhancing sustainability and cost-effectiveness. Regarding the ML approach, it can be observed that a low regression coefficient (R2) contrasts sharply with the higher R2 values for the random forest (RF) and the ensemble model, indicating satisfactory precision prediction with experimental results.

Public perception of the performance of Czech forest ecosystem services

AbstractIn recent years, there has been growing interest in public valuation for forest ecosystem services in policymaking. This paper investigates the public’s perception of the Czech forest ecosystem services, i.e., provisioning, regulating and cultural services, with associated factors (changes in forest cover, production, and respondents’ characteristics). The performance perception of forest ecosystem services was gathered from a nationwide survey in 2020. The Coordination of Information on the Environment Land Cover information in 2000 and 2018 was used for observation of forest cover changes. Coniferous and non-coniferous (broadleaved) roundwood, mushroom, and bilberry production data from the observed years were acquired from the Czech Statistical Office and the Ministry of Agriculture’s annual nationwide surveys. The Bohemia vs. Moravia study areas were also statistically compared. Predictor analysis of the high score of performance perception from individual and cluster forest ecosystems was also performed to answer the research objectives. The group of forest provisioning services received high scores in public evaluation (from 3.9 to 4.2), followed by regulating services (mean range: 3.7–4.1). The highest score was found in forest as a natural habitat for wild animals and plants (mean: 4.6). However, the lowest value was the esthetic value (mean: 2.3). Both are categorized as forest cultural services. The broadleaved and mixed forest areas in 2018 were significantly higher than in 2000, especially in Bohemia. Meanwhile, the total coniferous forested region in 2018 declined substantially compared to 2000 (p = 0.030), especially in Moravian areas. A significantly higher total production of the coniferous and broadleaved roundwood removals in 2018 than in 2000 was reported, in contrast to a marked decrease in collected mushrooms and bilberries. The high score of performance perception of forests as the wood provisioning service was positively and significantly associated with the changes in broadleaved roundwood removals. Older-age and female respondents were the primary predictors of the studied cluster and individual forest ecosystem services. The findings indicate that the social value of the individual forest provisioning services supports the implementation of multi-species and multi-purpose forests; hence, it encourages the implementation of the current Czech forest policy.

Optimization studies on batch extraction of phenolic compounds from Azadirachta indica using genetic algorithm and machine learning techniques

Phenolic compounds play a crucial role as secondary metabolites due to their substantial biological activity and medicinal value. These compounds are present in various parts of plant species. This study focused on solid-liquid batch extraction to recover total phenolic compounds from Azadirachta indica leaves. The experimental design was based on the Taguchi L16 array, considering four independent factors: extraction time, temperature, particle size, and solid-to-solvent ratio. Among these factors, the particle size exerted the maximum influence. Particle size inversely affects the yield of total phenolic content (TPC), while temperature, time, and solid-to-liquid ratio have a direct impact. The process factors concerned were investigated both experimentally and through machine learning techniques. Support vector regression (SVR) and random forest method (RFM) algorithms were utilized for predicting TPC, while a genetic algorithm (GA) was employed to derive optimal process parameters. The GA predicts the optimal extraction factors, yielding the maximum TPC. During this study, these factors were the following: particle size of 0.15 mm, extraction time of 40 min, solid-to-liquid ratio of 1:25 g/mL, and a temperature of 55 °C, with a predicted value of 23.039 mg GAE/g of plant material. Notably, in this study, the SVR values of TPC yield closely matched the experimental values for the training and test data set when compared with the random forest method values.

Evaluating the impact of land use and land cover changes on forest ecosystem service values using landsat dataset in the Atwima Nwabiagya North, Ghana

This study investigated land use and land cover (LULC) changes and its impact on forest ecosystem service values for 20 years in the Atwima Nwabaiagya North District using Landsat images of 2002, 2012 and 2022. Supervised classification with Maximum Likelihood Algorithm was used to classify the Landsat images. Five LULC types (high-dense forest, low-dense forest, water, bare-ground, and Built-up area) were successfully classified, with overall accuracies of 99.0 % and Kappa coefficients of 0.99. The result of the study showed a reduction of high-dense forest to 23.87 %, low-dense forest to 26.53 %, and water areas as 1.16 % whereas built-up (21.44 %) and bare-ground (27 %) experienced an expansion in their land areas. Related literatures and ecological assets value table with adjusted price value were used to evaluate ecosystem service values in response to LULC changes. The study discovered that ecosystem service value for high and low-dense forests have declined from USD 22.68 million and USD 8.75 million to USD 14.56 million and USD 5.2 million respectively. The overall total ecosystem service value declined by USD 33.73 million in 2002 to USD 21.91 million in 2022. It was revealed that the most notable feature to changes in forest ecosystem service values was the expansion of built-up and bare-grounds. There is a need to curb the current drivers of LULC changes in the Atwima Nwabiagya North to stop further forest degradation for optimum delivery of forest ecosystem service values in the district. For land use planners and decision makers who need site-specific information on the effects of LULC alterations on values of forest ecosystem services, the study's findings are essential. This will make it easier to track past environmental changes and obtain quick, accurate results for use in decision-making.