Forest Management Research Articles

Predicting Diameter Distributions in Mixed Forests in Southern Mexico

Understanding the diameter structure of a stand is crucial for making informed decisions regarding silviculture and forest management. This is achieved by collecting forest inventory data and applying them to probability density functions. The objective of this study was to identify the optimal probability density function for describing the diameter distribution in a mixed temperate forest in Oaxaca, Mexico. Circular sampling plots of 1000 m² were established, and the diameter at breast height (DBH) and total height of 16,863 trees of the 25 most important timber species were measured. Four probability density functions (Weibull 2P, Log-Normal, Log-Logistic, and Burr) were fitted by using maximum likelihood approach for different silvicultural treatments. The predictive ability of the functions was evaluated using bias, root mean square error, Kolmogorov-Smirnov statistic and graphical analyses. In terms of accuracy and parsimony, the Burr function demonstrated the best performance, followed by the Log-Normal and Log-Logistic functions. Consequently, the Burr function is recommended for modeling the diameter distribution of stands under different treatments in the study site.

Evaluation of Coccotrypes rhizophorae on propagules of species of the genus Rhizophora on the Ecuadorian coast

Coccotrypes rhizophorae (Coleoptera), an insect native to Indonesia, has been introduced to several American countries, including Ecuador and the Galapagos Islands. C. rhizophorae is the principal pest of mangrove species in the genus Rhizophora. Here, we examine the damage caused by C. rhizophorae infestations in a mangrove forest at eleven locations along the Ecuadorian coast throughout one year. We collected 13 200 Rhizophora spp. propagules in total (1200 individuals per site per year). The total C. rhizophorae infestation rate was 45%. The total prevalence of Rhizophora spp. propagules infested by C. rhizophorae was significantly higher during the rainy season (55%) compared to the dry season. Bellavista Island, Corazón and Fragatas Island, and Guayaquil Historical Park showed higher damage prevalence compared to other sites. In all sites and in both seasons, the prevalent location of damage in affected propagules was in the basal area (59.81%). There was an inverse relationship between the population size inside the propagule (larvae and adults) and rainfall. The number of holes created by C. rhizophorae in Rhizophora spp. propagules was associated with the damage intensity. These results are critical for the management, conservation, and restoration of mangrove forests in Ecuador and other countries where C. rhizophorae is present.

Editorial: Sustainable forest management under climate change conditions — A focus on biodiversity conservation and forest restoration

Editorial: Sustainable forest management under climate change conditions — A focus on biodiversity conservation and forest restoration

Estimation of Forest Phenology’s Relationship with Age-Class Structure in Northeast China’s Temperate Deciduous Forests

Phenological changes in forests directly influence the spatiotemporal dynamics of carbon fixation and the carbon and water cycles in terrestrial ecosystems. Previous studies have shown that variations in biological factors (e.g., canopy height, leaf area, water use efficiency) can increase uncertainty in forest phenology, and these variations are closely linked to tree species and forest age-class structure. However, the interaction mechanisms through which tree species and forest age-class structure influence phenological changes remain insufficiently explored. In this study, phenological changes and their interactions and response mechanisms to different dominant tree species and forest age-class structures were analyzed via Sentinel-2 normalized difference vegetation index (NDVI) time series data from 2020 and 2021 across 480 typical deciduous forest plots in northeastern China. The results were as follows: (1) There were significant differences (p < 0.05) in the intra-annual phenological responses of temperate deciduous landscapes to the interaction between tree species and forest age-class structure. (2) The indirect effect of forest age-class structure through tree species on phenology exceeded the indirect effect of tree species through forest age-class structure, with a difference of 30.77%–35.09%. (3) When the dominant tree species and forest age-class structure were not distinguished, phenological differences in temperate forests ranged from 3 to 41 days and 2 to 23 days, respectively. This study highlights the differential impacts of key biological factors and their interactions on regional forest phenology, offering valuable insights into how these factors influence forest landscapes and providing a theoretical basis for improving forest management strategies.

Response of Larix sibirica Radial Growth to Climate Change in Kanas, Northern Xinjiang, China

Understanding how forest ecosystems respond to climate variability is critical for predicting the impacts of climate change on semi-arid and temperate regions. This study examines the climatic drivers of radial growth in Larix sibirica Ledeb in the Kanas Lake region, northern Xinjiang, China, to explore how climate change may alter forest growth patterns. Using tree-ring chronologies, we examine the relationships between temperature, precipitation, and drought conditions, as well as the influence of large-scale atmospheric circulation patterns on growth. Results indicate that high summer temperatures negatively affect tree growth, while adequate precipitation plays a crucial role in mitigating water stress, especially during key growth periods. Positive correlations with the Palmer Drought Severity Index further underscore the importance of long-term moisture availability. Moreover, the study highlights the role of the El Niño-Southern Oscillation in influencing moisture transport, with significant correlations between sea surface temperatures in the Niño 4 region and tree-ring growth. Future growth simulations under two climate scenarios suggest that moderate warming (SSP 2–4.5) may enhance growth, while more extreme warming (SSP 5–8.5) introduces greater uncertainty and potential growth instability. These findings provide critical guidance for forest management strategies in the face of climate change.

Litter decomposition and nutrient dynamics in a subtropical ecosystem: A comparison of natural and plantation forests (Duabanga grandiflora) in Nagaland, North-East India

Forest litter decomposition is vital for nutrient cycling and carbon turnover. To investigate their decomposition rate, we conducted a litter bag experiment in plantation forests (PF) and natural forests (NF) in a subtropical ecosystem. Our findings showed significant seasonal variation in litter mass loss (p < 0.0001) between the two sites, indicating seasonality as the main driver of decomposition. The decay rate constant (k) expressed in day⁻¹, reflecting the fraction of litter mass lost per day due to decomposition, reveals that NF has higher k value of 0.007 day⁻¹ than PF at 0.005 day⁻¹ , indicating faster decomposition in NF. This constant is essential for predicting litter breakdown duration, highlighting decomposition dynamics between sites, suggesting that even minimal distances between forest types can affect organic matter breakdown. In both sites, litter mass loss varied significantly from the initial to the final year (p < 0.001), with peak rates during the monsoon, followed by pre-monsoon and dry periods. Mixed litter in NF experienced a 99.94 % loss after 730 days, while PF, saw 97.80 % loss. Carbon, lignin, nitrogen, and potassium concentrations were higher during the monsoon and pre-monsoon seasons at both sites. Except for phosphorus in PF, all soil parameters positively correlated with mass loss, along with litter parameters C, N, P, K, and lignin (p < 0.001). Litter decomposition was higher in NF than PF, with significant seasonal effects (p < 0.0001), highlighting seasonality over litter mixture effects. Understanding climate variability and species diversity is essential for sustainable forest management amid ongoing anthropogenic land-use changes.

Dynamic treatment units in forest planning improves economic performance over stand-based planning

AbstractHigh-resolution, wall-to-wall forest information enables precision-driven decision-making in forest management planning. In a case study we compare planning approaches using such information for solving long-term forest planning problems. The two first approaches are based on dynamic treatment unit (DTU) planning with high-resolution cells (12.5 × 12.5 m2) or segments (0.27 ha on average), respectively, solved with a cellular automata heuristics. The third approach is a traditional stand-based approach using stands (5.2 ha on average) and linear programming to solve the planning problem. Fixed costs associated with cutting operations are quantified as each treatment unit is charged with an entry cost of 10 000 SEK. The entry costs are included in the DTU approach while in the stand approach entry costs are applied accordingly in a post-optimization routine. In large, the analyses are based on open-access tools and data provided by Swedish authorities. The traditional stand approach produced plans with 5.2–2.7% lower net present value compared to DTU planning. Most of the differences were caused by greater suboptimal losses in plans produced with the stand approach, but entry costs were also lower in DTU plans. While forestry was less profitable, treatment units were more spatially compact with stands, especially compared to cell-based plans. Therefore, we reason that a combination of modelling of direct costs and use of spatial proxy variables, such as common border length, may be advisable in DTU planning to achieve compact and realistic treatment units. Finally, the results indicate that high-resolution data and DTU planning may better utilize forests’ potential of economic production, compared to the traditional stand approach.

Effects of single-tree selective harvest method on ecosystem services in a mixed temperate broadleaf forest in Iran

IntroductionThis study examines the effects of the single-tree selective harvesting method on ecosystem services in a mixed temperate broadleaf forest in Iran. Key indicators such as carbon sequestration, tree species diversity, soil nutrient cycling, and stand volume are analyzed, emphasizing their significance for sustainable forest management.MethodsThe research was conducted in four districts, each comprising two parcels: one managed using the single-tree selective harvesting method and the other serving as a control. Data on ecological and biodiversity parameters were collected, and statistical analyses, including two-way ANOVA and Principal Component Analysis (PCA), were performed to assess the impact of management practices.ResultsThe findings reveal that the single-tree selective harvesting method significantly influences regulating and supporting ecosystem services. Carbon storage varied with elevation, affecting both soil and forest floor litter. Tree species diversity increased, with more species present and a reduction in dominance by certain species. However, this method also resulted in reduced stand volume in the managed areas. Elevation significantly impacted diversity indices, litter carbon storage, available potassium, and stand volume. Additionally, the interaction between management and elevation was significant for soil carbon storage, richness, diversity, total nitrogen, available potassium, and stand volume.DiscussionThe single-tree selective harvesting method appears to be a viable forest management strategy for preserving ecosystem services in mixed temperate broadleaf forests, maintaining ecosystem health without significant negative effects on soil. However, careful consideration of site-specific ecological conditions and trade-offs between provisioning and regulating services is crucial. These findings have important implications for sustainable forest management in Iran and similar forest ecosystems globally.

Soil multifunctionality and nutrient cycling-related genes in Cunninghamia lanceolata plantations: metagenomic perspective insights into ecological restoration

The widespread cultivation of Cunninghamia lanceolata in China has led to soil degradation and decline in microbial diversity, which have a significant impact on supporting forest ecological services. However, little is known about the long-term consequences from forest management practices on the bacterial functional genes associated with soil nutrient cycling. Here, metagenomic sequencing was used to investigate the soil bacterial functional genes involved in carbon (C), nitrogen (N), and phosphorus (P) cycling in a 16-year pair experiment of pure (C. lanceolata) and mixed plantations (C. lanceolata + Betula luminifera). The results showed that the mixed plantations had much higher soil nutrient content as well as enzyme activity, thereby improving soil multifunctionality (SMF). Forest management practices resulted in differences in the structural and functional composition of soil bacterial communities, such as Chloroflexi, Firmicutes and acid metabolism were enriched in pure plantations, while Acidobacteria, Planctomycetes and amino acid metabolism were enriched in mixed plantations. Compared with monocultures, mixed plantations had higher abundance of genes participated in C degradation, C fixation, methanogenesis, N cycling and P solubilization. The CNP cycling genes also varied with taxon-specific responses to forest management. Forty-seven nearly entire bacterial metagenome-assembled genomes (MAGs) were obtained, in which MAGs enriched in mixed plantations had more functional genes involved in CNP cycling. Notably, acidophilic Acidobacteria played important roles in reduction of Fe(III) and the subsequent release of organic P. In all, our results demonstrated that the use of mixed plantations enhances a number of soil functions via its influence on the abundances of keystone taxa and functional genes, providing a foundation for developing forest management strategies in subtropical regions. In future researches, attention should be paid to the effects of mixed plantations on soil microbial diversity and nutrient cycling across various seasons.

Biodiversity and anthropogenic disturbances predominantly drive carbon sequestration rates across temporal scales in temperate forests

Addressing the escalating challenges of climate change necessitates a comprehensive understanding of the factors influencing carbon sequestration rates (CSRs) in forest ecosystems. Although the impact of various biotic factors, environmental, and anthropogenic factors on CSRs over different time scales is well recognized, their precise roles remain poorly defined. This study aims to clarify the mechanistic relationships between CSRs and these factors in large-scale natural temperate forests in northeastern China. We employed linear mixed-effects models and piecewise structural equation models were to analyze data from 310 vegetation plots, assessing the effects of biotic factors (including multidimensional diversity, structural diversity, and community-weighted mean (CWM) trait values) and abiotic factors (climate, topography, and anthropogenic disturbances) across different forest types and successional stages. Our analysis tested a series of hypotheses to identify the principal drivers of forest CSRs. The results indicate that while functional composition and standard environmental factors such as mean annual temperature and slope are significant, their influence is markedly less than that of biodiversity (encompassing multidimensional and structural diversity) and anthropogenic disturbance (as measured by the Human Modification Index). These findings support the dominance of the niche complementarity theory and the moderate disturbance hypothesis, with their importance increasing over time. Furthermore, this study advocates for forest management strategies that are specifically tailored to the unique characteristics of mixed and dense forests at different stages of succession. By elucidating the complex relationships between ecological variables and CSRs, our findings provide critical insights for the development of effective strategies aimed at optimizing forest carbon sequestration. This study underscores the necessity of integrating sustainable forest management with the conservation of ecological biodiversity.

Impact of prescribed fire on fungal communities in Scots pine (Pinus sylvestris) forests in Mediterranean transitional zones

The Mediterranean region is renowned for its natural susceptibility to wildfires. In recent years, this risk has intensified due to various factors, including climate change and rural abandonment. Castilla y Leon stands out as one of the most severely impacted areas grappling with rural exodus. This evolving scenario accentuates the urgency of implementing forest management strategies to mitigate the escalating threat of wildfires, with a primary focus on fuel reduction. Although prescribed fires represent an efficient and cost-effective tool for wildfire prevention, they remain a contentious subject in Europe. Fungi not only contribute significantly to rural economies but also play a pivotal role in maintaining the equilibrium of forest ecosystems. The main objective of this study was to examine the effects of prescribed burning on Pinus sylvestris soils, with a specific focus on the recovery of fungal populations after such fires. To assess the short-term effects of prescribed fires on soil fungal communities, we collected soil samples from both burned and unburned plots 12 months post-burning to perform genomic DNA analyses. Our findings indicate that prescribed burning does not significantly alter fungal diversity or composition, with only litter saprotrophs showing significantly higher levels of abundance in burned areas than in unburned areas. Valuable edible fungi persisted post-burning, suggesting that prescribed burning could be used to reduce wildfire fuel loads while preserving fungal biodiversity and valuable edible fungi. These results advocate for the use of prescribed burning as a viable, myco-friendly forest management practice, offering a balance between fire prevention and ecological conservation.

Latitudinal gradients of biodiversity and ecosystem services in protected and non-protected oak forest areas can inform climate smart conservation

Adaptive governance of areas set aside for future protection of biodiversity, sustainable production, and recreation requires knowledge about whether and how effects of area protection are modulated by climate change and redistribution of species. To investigate this, we compare biodiversity of plants (assessed using vegetation plots) and arthropods (collected with Malaise traps, analyzed using metabarcoding) and productivity (tree growth, determined using dendrochronology) in protected and non-protected oak (Quercus spp.) forests along a latitudinal gradient (55.6 °N – 60.8 °N) in Sweden. We also compare historical, recent and projected future climate in the region. In contrast to established global latitudinal diversity gradients, species richness of plants and arthropods increased northwards, possibly reflecting recent climate-induced community redistributions, but neither was higher in protected than in non-protected areas, nor associated with contemporary ground temperature. Species composition of arthropods also did not differ between protected and non-protected areas. Arthropod biomass increased with latitude, suggesting that the magnitude of cascading effects mediated via their roles as pollinators, herbivores, and prey for other trophic levels, varies geographically and will change with a moving climate. Annual growth rate of oaks (an ecosystem service in the form of biomass increase and carbon sequestration) was independent of latitude and did not differ between protected and non-protected areas. Our findings question the efficacy of contemporary designation and management of protected oak forests, and emphasize that development and implementation of modified climate smart conservation strategies is needed to safeguard ecosystem functioning, biodiversity, and recreational values of protected forest areas against future challenges.

Individual tree species classification using low-density airborne multispectral LiDAR data via attribute-aware cross-branch transformer

Traditional forest inventory supplies essential data for forest monitoring and management, including tree species, but obtaining individual tree-level information is increasingly crucial. Airborne Light Detection and Ranging (LiDAR) with multispectral observation offers rich information for improved forest inventory mapping with reliable individual tree attributes. Although deep learning techniques have shown promise in tree species classification, they are not sufficiently explored for individual tree-level classification using low-density (less than 30 point/m2) Airborne Multispectral LiDAR (AML) data. This study therefore explores the feasibility of using a deep learning (DL) framework for processing low-density AML point clouds to enhance tree species classification in challenging forest environments. A point-based deep learning network with a dual-branch mechanism combined Cross-Branch Attention modules named Attribute-Aware Cross-Branch (AACB) Transformer is designed for AML data to better differentiate tree species from delineated individual trees. In addition, a channel merging approach is introduced, which is suited to prepare the training samples of deep learning networks and reduces the computational costs. This study was tested with an average 9 points/m2 AML point cloud for 6 tree species including Populus tremuloides, Larix laricina, Acer saccharum, Picea abies, Pinus resinosa, and Pinus strobus from a Canadian mixed forest. The overall accuracies achieved 83.1 %, 85.8 %, and 95.3 % at species, genus, and leaf-type levels, respectively. The comparison between the proposed method and other widely used tree species classification methods demonstrates the effectiveness of the proposed approach in enhancing tree species classification accuracy. We discuss potentials and remaining challenges, and our findings allow to further improve tree species classification of low-density AML point clouds by DL technology.

A heart-rot fungus, Inonotus obliquus (chaga), mediates microhabitat creation in birch snags and contributes to forest fungal diversity

Ecological significance of fungi in terrestrial ecosystems is generally acknowledged but the ecological networks mediated by particular fungal species are seldom described. In this note, we draw attention to an undescribed function of a well-known heart-rot fungus, Inonotus obliquus (chaga). This species mostly inhabits live birches (Betula), where it forms sterile conks used in ethnomedicine. Less known is that its short-lived fruit-bodies develop under the bark after the tree death and release the spores by cracking the bark. Based on studies in Estonia, we report that this process is a major mechanism that removes bark from standing dead birches and that the exposed wood becomes a distinct woody substrate. We report nearly 50 species of epixylic lichens and allied fungi on birch snags, most notably calicioid fungi, which include several species of conservation concern. Because forest management suppresses that stage through multiple mechanisms (removal of trees with conks and dead trees; shortened rotations; preference for conifer monocultures), the keystone function can be lost even if I. obliquus persists in the area. Additionally, multi-functional forestry that supports chaga for its conk use should pay attention on that later phase of fruit-body formation to maintain natural functioning of this species. Such microhabitat providing functions may be more widespread among fungi that currently acknowledged.

Quantifying forest stocking changes in Sundarbans mangrove using remote sensing data

The Sundarbans, the world's largest mangrove ecosystem, faces significant challenges from forest stocking changes due to natural and anthropogenic factors. Scientific studies on these changes are not available. This study uses remote sensing techniques to quantify long-term changes in mangrove forest canopy height, aboveground biomass (AGB), and forest carbon stocks. Shuttle Radar Topography Mission (SRTM) and Global Ecosystem Dynamics Investigation (GEDI) LiDAR data sets. We assessed canopy height and forest stocking changes, and changes in AGB carbon fluxes over the last two decades in the Sundarbans mangrove. Calibrated SRTM data provided tree canopy height (TCH) estimates for 2000, while calibrated GEDI LiDAR data facilitated assessments of TCH for 2023. The findings show substantial changes in TCH, AGB, and carbon stock distribution in the Sundarbans mangrove between 2000 and 2023. TCH in the 5-10 m class notably increased from 58.3% in 2000 to 70.8% in 2023, while TCH above 15 m decreased, and those under 5 m regrew. Higher AGB carbon classes (>50 tons ha⁻1) decreased, with only the lowest class (<50 tons ha⁻1) increasing, indicating notable forest carbon stock reduction due to deforestation and forest degradation. Approximately 1571 Kt of AGB carbon were lost over 23 years, around 4% of the total stock. The driving forces of forest stocking changes could be changes in the dynamic energy balance from the estuarine river system and the tidal waves, relative sea-level change, increases of salinity in various zones of Sundarbans mangrove, other anthropogenic factors, etc. This research provides valuable insights into Sundarbans mangrove dynamics, aiding global forest degradation and forest growth in understanding forest stocking change and their role in terrestrial carbon flux and global climate change. The results will be helpful for the forest manager in identifying the locations where there is forest degradation or enhancement of forest growing stock and planning any silvicultural operations that are needed in the forest. This is also useful for climate change scientists to understand probable man-made or natural driving forces of the changes in forest stocking in the Sundarbans mangrove forests. It underscores the urgency of integrating deforestation and forest degradation into climate strategies for effective carbon management and conservation efforts, that align with carbon sequestration goals, contributing to broader climate change mitigation strategies.

Aggregation unveiled: A sequential modelling approach to bark beetle outbreaks

Tree-killing bark beetle infestations are a cause of massive coniferous forest mortality impacting forest ecosystems and the ecosystem services they provide. Models predicting bark beetle outbreaks are crucial for forest management and conservation, necessitating studies of the effect of epidemiological traits on the probability and severity of outbreaks. Due to the aggregation behaviour of beetles and host tree defence, this epidemiological interaction is highly non-linear and outbreak behaviour remains poorly understood, motivating questions about when an outbreak can occur, what determines outbreak severity, and how aggregation behaviour modulates these quantities. Here, we apply the principle of distributed delays to create a novel and mathematically tractable model for beetle aggregation in an epidemiological framework. We derive the critical outbreak threshold for the beetle emergence rate, which is a quantity analogous to the basic reproductive ratio, R0, for epidemics. Beetle aggregation qualitatively impacts outbreak potential from depending on the emergence rate alone in the absence of aggregation to depending on both emergence rate and initial beetle density when aggregation is required. Finally, we use a stochastic model to confirm that our deterministic model predictions are robust in finite populations.

Biodiversity and Soil Characterization of Ancestral Domain of the Tagbanua Tribe in Aborlan, Palawan, Philippines

This study was conducted to determine strategies to enhance the sustainable forest management practices of the Tagbanua tribe. Specifically to describe the biodiversity and soil characteristics of the ancestral domain. The modified belt-transect method for biodiversity assessment developed by B+WISER (2014), further modified by the Department of Environment and Natural Resources (DENR) in the assessment, was used in this study. Results of soil chemical analysis showed significant variations among various land uses. The ancestral domain had at least 73 plant species belonging to 34 families and 59 genera. Four (4) taxa whose SN/families were still undetermined and another three (3) genera under families Annonaceae, Meliaceae, and Sapindaceae were unidentified. It had 12 plant species that are threatened with one critically endangered based on the list of threatened Philippine plants of the DENR. On the other hand, a total of 372 birds representing 61 species from 29 families were recorded. The high Shannon-Weiner Diversity Index (H’=3.69) and Shannon’s Evenness (HE=0.90) values indicate high avifaunal diversity and equitable distribution among the detected species. Most of the conservation priority species recorded in the area are Palawan endemic species. The survival of these birds is threatened by extinction due to habitat loss. This observation emphasized the importance of the ancestral domain as a refuge for these endemic species and conservation priority areas.

Assessing Agroforestry Impact on Household Income: A Study of the Bu’u Bei Community Forest (HKm) in Tina Bani Village, Ende, Indonesia

Agroforestry systems play a critical role in supporting livelihoods across East Nusa Tenggara, including in the Bu'u Bei Community Forest (HKm) in Tina Bani Village, Ende District, Ende Regency, Indonesia. This study investigates agroforestry patterns and evaluates their contribution to household income among the 47 HKm member households, surveyed through a census in April and May 2024. Employing both descriptive and quantitative analyses, our research reveals that the agrisilviculture system, characterised by a random mixed planting pattern, dominates agroforestry practices in the village. Path dependency, rooted in long-standing traditions, significantly shapes these practices. Agroforestry contributed significantly to household income in 2023, accounting for 98.87% of total income. However, poor infrastructure, particularly damaged roads, limits market access and reduces the economic potential of these systems. The study emphasises the need for integrated land management approaches that address infrastructure deficits while strengthening the resilience of agroforestry systems. This research provides critical insights into the socio-economic and environmental roles of agroforestry, offering a valuable reference for policymakers and stakeholders committed to promoting sustainable forest management and rural development in Indonesia.

Unraveling land use land cover change, their driving factors, and implication on carbon storage through an integrated modelling approach

Land Use Land Cover (LULC) change is a complex phenomenon driven by various natural and anthropogenic factors, significantly impacting carbon storage potential. By applying integrated models of ANN-CA Markov, GeoDetector, and InVEST model, this study aimed to analyze LULC change, their driving factors, and implications on carbon storage in the Forest Management Unit (FMU) of Ampang Plampang in West Nusa Tenggara, Indonesia. Several data sources were utilized in the modelling approach, including DEM (Digital Elevation Model), topographical map, Landsat imageries (2011, 2016, 2021), measured carbon density (above ground, below ground, soil, dead organic), and socio-economic data (number of populations, farmer, and agricultural land). The dryland forest in the study area constitutes the most extensive LULC that has experienced significant declines due to deforestation, predominantly transforming into agricultural land, and these are predicted to continue until 2031 with different magnitudes. The significant driving factors of LULC change were elevation, population pressure on land, and distance from settlement. The LULC change also greatly influenced the decline of carbon storage historically (2011–2016) and in projected LULC (2026–2031). The conversion of forested areas to non-forest LULCs has released carbon emissions of about 1.89 Mt CO2-eq. The study findings implied that the integration of ANN-CA Markov, GeoDetector, and InVEST models has been helpful for comprehending complicated interactions among LULC change, driving factors, and carbon dynamics. The results also contribute to the scientific knowledge base for land management decision-making and policy formulation. Effective management of LULC changes through low carbon development is suggested to mitigate the loss of carbon storage capacities, foster sustainable development goals (SDGs), support Nationally Determined Contribution (NDC), and improve ecosystem resilience

Forest and Land Fire Management Strategy in South Sumatra Province through the Penta Helix Model

This study aims to determine whether there is an influence of the level of knowledge of JKN-KIS participants, the attitude of health workers and the accessibility of health facilities simultaneously on the utilization of health services for JKN-KIS participants at Community Health Centers and their networks. The method used in this study is quantitative. A minimum of 99 samples from JKN-KIS participants in the work area of Pematang Panggang III.b Health Center, Mesuji Makmur District, Ogan Komering Ilir Regency. In this study, there were two hypothesis tests, namely the Partial Significance Test (T-Test) and the Simultaneous Test (F-Test). The data analysis technique used descriptive statistical analysis techniques; and multiple linear regression analysis. The results showed that the level of knowledge of JKN-KIS participants did not have a significant effect on the utilization of health services at the Pematang Panggang III.b Health Center, Mesuji Makmur District and its network. The accessibility of health facilities had a positive and significant effect on the utilization of health services for JKN-KIS participants at the Pematang Panggang III.b Health Center, Mesuji Makmur District. The level of knowledge of JKN-KIS participants, the attitude of health workers and the accessibility of health facilities simultaneously had a positive and significant effect on the utilization of health services for JKN-KIS participants at the Pematang Panggang III.b Health Center, Mesuji Makmur District. Prosperous Mesuji.