Search Results (91)

Forest ecosystems in northeastern Japan are characterized by natural mixed forests, where sustainable management has always been limited because of their difficult accessibility. The aims of this study are first, to assess mixed forest composition, and second, to train Mask R-CNN models with these data in order to detect and segment trees in a 19-ha mixed forest composed mainly of beech (Fagus crenata), oak (Quercus crispula), magnolia (Magnolia obovata) and larch (Larix kaempferi). The Mask R-CNN model was applied in two experimental scenarios: a single multi-class model and species-specific models. RGB images consisted of four orthomosaics (August, September, October 2024 and October 2025), which yielded 1725, 359, 129 and 525 samples of each tree species, respectively. The Unmanned Aerial Vehicle (UAV)-QField validation method improved the classification accuracy of the annotations and made it possible to map each tree species distribution and understand the composition of mixed forests along an elevation gradient. The multi-class model demonstrated an overall precision of 0.59, a recall of 0.53, and an F1-score of 0.56. The detection performance for individual tree species was similar for both models. Based on these results, the multi-class model is more suitable because it decreases the possibility of misclassification of tree species. Full article

Drought stress critically impacts plant growth and productivity. The bZIP transcription factor family is crucial for abiotic stress responses, yet its role in larch drought tolerance remains unclear. This study identified 19 bZIP genes in Larix kaempferi (Lamb.) Carr. and characterized LkbZIP4. Bioinformatics analysis classified it into the A subgroup. Subcellular localization and yeast two-hybrid assays confirmed that it is a nucleus-localized transactivator. Expression pattern analysis revealed that LkbZIP4 was highly specifically expressed in roots and was significantly induced by drought stress. A series of transgenic overexpression lines was successfully established through Agrobacterium tumefaciens-mediated method, using embryogenic callus of hybrid larch (L. kaempferi × L. gmelinii). Under 7% PEG-induced drought stress, LkbZIP4-overexpressing transgenic calli displayed enhanced drought tolerance relative to wild-type. This was evidenced by better growth, higher biomass, and reduced membrane damage, indicated by lower malondialdehyde content and relative electrolyte leakage. Meanwhile, these transgenic calli accumulated higher levels of osmoregulatory substances, including proline and soluble sugars, along with enhanced activities of antioxidant enzymes including superoxide dismutase and peroxidase. Our results indicate that LkbZIP4 functions to promote drought tolerance in larch, likely through the enhancement of osmotic adjustment and oxidative defense mechanisms. Full article

Pine wood nematode (PWN, Bursaphelenchus xylophilus) is fatal to the pine trees around the world. Its northward and westward expansion in China endangers Larix spp., yet its molecular response remains understudied. We conducted transcriptomic analysis (RNA-seq) on three economically important larch species (Larix principis-rupprechtii, L. olgensis, and L. kaempferi) infected by geographically distinct PWN isolates (northern Fushun and southern Changde strains) at 1 and 3 days post-inoculation. Comparative RNA-seq analysis of 36 samples revealed that genes such as oxidative stress, and secondary metabolite production were differentially expressed in Larix spp. upon infection by the PWNs. Furthermore, compared to the Changde strain, infection with the Fushun PWN strain can elicit a consistently stronger and more distinct transcriptional defense response across all tested larch species. These results provide insights into the molecular mechanisms of plant defense against PWNs, offering genetic target for resistance breeding and informing the development of targeted control measures against this pathogen. Full article

The potential of UAV-based LiDAR (UAV-LiDAR) and handheld LiDAR scanners (HLSs) for forest radiative transfer models (RTMs) was evaluated using a Voxel-Based Point Density Proxy (VPDP) as a diagnostic tool in a Larix kaempferi forest. Structural analysis-computed coverage gap ratio (CGR) revealed distinct behaviors. UAV-LiDARs effectively captured canopy structures (10–45% CGR), whereas HLS provided superior understory coverage, but exhibited a high upper-canopy CGR (>40%). Integrating datasets reduced the CGR to below 10%, demonstrating strong complementarity. Radiative transfer simulations correlated well with Sentinel-2 NIR reflectance, with the UAV-LiDAR ($\mathit{r}$ = 0.73–0.75) outperforming the HLS ($\mathit{r}$ = 0.64–0.69). These results highlight the critical importance of upper-canopy modeling for nadir-viewing sensors. Although integrating HLS data did not improve correlation due to the dominance of upper-canopy signals, structural analysis confirmed that fusion is essential for achieving volumetric completeness. A voxel size range of 50–100 cm was identified as effective for balancing structural detail and radiative stability. These findings provide practical guidelines for selecting and integrating LiDAR platforms in forest monitoring, emphasizing that while aerial sensors suffice for top-of-canopy reflectance, multi-platform fusion is requisite for full 3D structural characterization. Full article

The pine wood nematode (PWN) Bursaphelenchus xylophilus is a highly destructive forest quarantine pest and causal agent of pine wilt disease. The molecular response mechanism of Larix kaempferi (Japanese larch) to B. xylophilus infection remains unclear. This study aims to reveal the dynamic patterns of its defense response and screen key genes through time series transcriptomics. We found larch trees can proactively adjust their defense strategies to deal with the invasion of B. xylophilus. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, plant hormone signal transduction, MAPK signal pathway, and genes related to phenylpropane biosynthesis were more important. Through weighted gene coexpression network analysis (WGCNA), we identified two core modules that were rich in terpenoids, genes related to phenylpropane metabolism and cell wall strengthening, hormone signaling and defense regulation, and cytoskeleton and transport. Ultimately, we identified 20 core genes that were associated with several resistance-related processes, including the biosynthesis of resistance metabolites, post-translational regulation of protein homeostasis and defense signals, and transcriptional and translational reprogramming of gene expression. This study systematically depicted for the first time the continuous transcriptional regulatory network of L. kaempferi in response to pine wood nematodes. The key genes discovered provide important targets for subsequent functional verification and resistance breeding. Full article

In Korea, a persistent shortage of Japanese larch (Larix kaempferi) seeds and the high costs of managing seed orchards have created a significant demand for alternative reforestation methods. This pilot study, conducted over nine years, evaluated the field performance of somatic embryo-derived larch seedlings (emblings) across 14.4 hectares in nine different locations. The study addressed challenges with SE technology, such as limited genetic diversity and the inconsistent quality of seedlings due to year-round production. Despite these initial issues and other environmental interferences, the statistical analysis revealed age to be the sole significant fixed factor driving tree growth and root collar diameter (RCD) increase (p < 0.001 for both). Crucially, the growth rate (slope) for height and RCD was not statistically different between the embling and seed-derived groups (seedlings). Furthermore, the GLMM for survival confirmed that age was not a significant predictor (p > 0.35 for both types). Instead, site-specific factors were the primary drivers of overall survival and growth variation. The random effects analysis showed that site heterogeneity was substantial for height (${\mathit{\sigma }}_{\mathrm{Site}}=0.8256$, indicating that somatic embryo-derived larch plantlets were more sensitive to site-specific environmental conditions than seed-derived seedlings (${\mathit{\sigma }}^2$ was 1.078 for embling survival and 0.4074 for seedling survival). We also found no significant difference in overall tree form or evidence that emblings developed dominant side branches. This research demonstrates that SE technology can produce high-quality larch emblings that are statistically equivalent to their seedling counterparts in long-term growth trajectory and RCD development. It confirms that this method offers a viable and cost-effective solution to Korea’s seed shortage without sacrificing long-term growth or survival. Full article

National-scale long-term forest ecosystem surveys based on systematic sampling offer a robust framework for detecting temporal growth trends of specific tree species across regions. The National Forest Inventory (NFI) of the Republic of Korea serves as a vital source for analyzing long-term forest dynamics on a national scale by providing regularly collected large-scale forest data. However, various limitations, such as the lack of individual-level and spatial interaction data, restrict the development of reliable individual tree growth models. To overcome this, distance-independent models, compatible with the structure and data resolution of the NFI, provide a practical alternative for simulating individual tree and stand-level growth by utilizing straightforward attributes, such as diameter at breast height (DBH). This study aimed to analyze the growth patterns and construct species-specific models for two major plantation species in South Korea, Pinus koraiensis and Larix kaempferi, using data from the 5th (2006–2010), 6th (2011–2015), and 7th (2016–2020) NFI survey cycles. The sampling points included 117 and 171 plots for P. koraiensis and L. kaempferi, respectively. An additional matching process was implemented to improve species identification and tracking across multiple survey years. The final models were parameterized using a distance-independent model, integrating the estimation of potential diameter growth (PG) and a modifier (MOD) function to adjust for species- and site-specific variabilities. Consequently, the models for each species demonstrated strong performance, with P. koraiensis showing an R² of 0.98 and RMSE of 1.15 (cm), and L. kaempferi showing an R² of 0.98 and RMSE of 1.14 (cm). This study provides empirical evidence for the development of generalized and scalable growth models using NFI data. As the NFI increases in volume, the framework can be expanded to underrepresented species to improve the accuracy of underperforming models. Ultimately, this study lays a scientific foundation for the future development of tree-level simulation algorithms for forest dynamics, encompassing mortality, harvesting, and regeneration. Full article

Due to the increasing demand for sustainable construction materials, wood has gained prominence owing to its renewable nature and carbon-storage capabilities. However, the flammability of wood presents critical safety concerns in its structural applications. This study investigates the combustion and charring characteristics of three Korean softwood species, namely Larix kaempferi, Pinus densiflora, and Pinus koraiensis, which were subjected to varying levels of radiant heat using cone calorimetry testing (ISO 5660-1). The fire performance was evaluated based on the peak heat release rate (HRR), total heat release (THR), surface ignition temperature, and char depth. The obtained results showed that Pinus densiflora exhibited rapid ignition and the highest THR (62.2 MJ/m²), indicating an aggressive burning behavior. Additionally, Pinus koraiensis recorded the highest peak HRR (241.6 kW/m²). In contrast, Larix kaempferi showed the most favorable fire-resistance profile, with the highest ignition temperature (~300 °C), lowest THR (31.8 MJ/m²), and shallowest char depth (7.5 mm), suggesting slower pyrolysis. These findings identify Larix kaempferi as the most fire-resilient species among those tested, making it a promising material for use in timber structures. This work offers practical insights for improving fire safety in wooden buildings and supports the strategic use of Korean wood in sustainable and fire-safe architecture. Full article

The miR156 family, crucial for phase transition and stress responses in plants, remains functionally uncharacterized in the ecologically and commercially important gymnosperm Larix kaempferi. This study systematically investigated L. kaempferi miR156 through phylogenetic analysis, structural prediction, expression profiling during somatic embryogenesis, and heterologous functional validation in Arabidopsis. Four MIR156 family members (LkMIR156s) were identified in Larix kaempferi, each with a characteristic stem-loop structure and highly conserved mature sequences. Computational predictions indicated that these LkMIR156s target four LkSPL family genes (LkSPL1, LkSPL2, LkSPL3, and LkSPL9). qRT-PCR analysis showed that mature LkmiR156s expression remained relatively low during early embryonic development but was significantly upregulated at the cotyledonary stage (21–42 days). Precursor transcript levels peaked earlier (around 28 days) than those of the mature LkmiR156, which remained highly expressed throughout cotyledonary embryo development. This sustained high expression coincided with cotyledon morphogenesis and embryonic dormancy. Functional validation via heterologous overexpression of LkMIR156b1 in Arabidopsis resulted in increased rosette leaf numbers (42.86% ± 6.19%) and individual leaf area (54.90% ± 6.86%), phenotypically consistent with the established role of miR156 in growth regulation. This study reveals the temporal expression dynamics of LkmiR156s during L. kaempferi somatic embryogenesis and its coordinated expression patterns with cotyledon development and embryonic dormancy. The functional conservation of the miR156-SPL module was confirmed in a model plant, providing key molecular insights into the developmental regulatory network of conifers. These findings offer potential strategies for optimizing somatic embryogenesis techniques in conifer species. Full article

Wood, as a natural material that stores carbon, is gaining increasing attention and has potential for use in interior architectural applications. Given the long indoor stay time characteristic of modern society, it is important to scientifically understand the effects of indoor wood application on the occupants. In this study, three residential buildings with an identical area and structure were constructed with different degrees of wood coverage (0%, 45%, 90%) using Larix kaempferi. Subsequently, indoor air quality (IAQ) evaluations and relative humidity measurements were conducted to assess the physical and chemical changes in each environment. The IAQ in wooden and non-wooden environments met the recommended IAQ standards established in South Korea. The results of the 8-month observation showed that, the higher the wood coverage ratio, the more the indoor humidity fluctuations were alleviated, and, in the case of the 90% wood coverage ratio condition, the humidity was maintained 5.2% lower in the summer and 10.9% higher in the winter compared to the 0% condition. To further assess the physiological responses induced by the wooden environment, the heart rate variability (HRV) was measured and compared for 26 participants exposed to each environment for two hours. In environments with a 0% and 90% degree of wood coverage, no statistically significant differences were found in the participants’ HRV indicators. But, in the group exposed to the 45% wooden environment, the results showed an increase in HRV indicators, natural logarithm of high frequency power (lnHF): 4.87 → 5.40 (p < 0.05), and standard deviation of normal-to-normal intervals (SDNN): 30.57 → 38.48 (p < 0.05), which are known indicators of parasympathetic nervous system activation. Full article

Xyloglucan endotransglucosylase/hydrolase (XTH) is a crucial enzyme in plant cell wall remodeling, which contributes to plant growth, development, and stress response. Based on the transcriptome data of Larix kaempferi, this study identified and analyzed 16 XTH genes. Sequence alignment and phylogenetic analysis indicated that the LkXTH gene family can be divided into three subfamilies, namely the Early Diverging Group, Group I/II, and Group III, all of which share highly conserved motifs and structural features. Expression profiling demonstrated that LkXTH genes are actively expressed in the roots, stems, and leaves of L. kaempferi. Under drought stress, the expression of LkXTH1, LkXTH2, LkXTH3, LkXTH4, LkXTH6, LkXTH14, LkXTH15, LkXTH17, and LkXTH18 increased rapidly in roots. Meanwhile, the expression levels of LkXTH5, LkXTH7, LkXTH8, and LkXTH13 exhibited significant upregulation in leaves. Notably, LkXTH11 and LkXTH16 significantly increased in both roots and leaves, with a more pronounced increase in leaves, but LkXTH10 displayed significant upregulation in the stems. Furthermore, the heterologous expression of LkXTH1 and LkXTH17 in yeast significantly enhances drought tolerance. These findings indicate that individual LkXTH genes exhibit distinct organ-specific responses to drought stress, thereby advancing our understanding of their functional roles in larch drought response. Full article

This study developed diameter distribution models using the Weibull function for Korean red pine (Pinus densiflora), Korean white pine (P. koraiensis), and Japanese larch (Larix kaempferi). The study data were collected from 49 Korean red pine stands, 54 Korean white pine stands, and 49 Japanese larch stands located in national forests in Gangwon and North Gyeongsang Provinces, South Korea. To identify the optimal method for modeling the diameter distribution of these three species, parameter recovery methods and parameter prediction methods were analyzed. To identify the optimal parameter recovery method for presenting the diameter distribution of these three species, ten parameter recovery methods were compared using moment-based, percentile-based, and hybrid approaches. For parameter prediction methods, major stand characteristics were used as independent variables to develop the models for the parameters a, b, and c of the Weibull function. For estimating the Weibull parameters, two methods—the estimated parameter recovery method and the parameter prediction method—were compared and analyzed. The optimal parameter recovery method was the one using the minimum DBH, the mean DBH, and the DBH variance. The coefficient of determination (R²) for the models predicting the minimum DBH, the mean DBH, and the DBH variance ranged from 0.7186 to 0.9747, and the R² for the models directly predicting parameters ranged from 0.7032 to 0.9374, indicating high explanatory power and unbiased results. When comparing the two methods, the parameter prediction method showed higher accuracy and lower bias. In addition, paired t-tests were conducted to assess differences from the observed Weibull parameters. The results showed a significant difference for the estimated parameter recovery method, whereas no significant difference was found for the parameter prediction method, further supporting its reliability. Full article

Evaluating forest functional indicators is essential for effective forest management planning. In this study, we conducted a metagenome-based comparative analysis of the rhizosphere soils from a natural Quercus mongolica stand and an artificial Larix kaempferi stand on Mt. Gariwang, Pyeongchang, Republic of Korea. Both stands originally belonged to the same natural forest and represent the current dominant tree species. Bacterial communities were affected more by climate than by tree species. A bacterial co-occurrence network analysis showed more complex interactions in the Q. mongolica than in L. kaempferi. Conversely, fungal communities were affected more by tree species than by climate. Specifically, the Q. mongolica stand had a high ratio of saprotrophic fungi, whereas the L. kaempferi stand exhibited a higher ratio of fungi associated with nutrient decomposition and harbored a high proportion of fungi that form ectomycorrhizae with long-distance exploration types. These fungal traits serve as indicators of soil ecological changes in Q. mongolica and L. kaempferi stands. Our comparative analysis of the microbial communities of Q. mongolica and L. kaempferi, representative plantation species in the Republic of Korea, revealed seasonal and host species–specific bacterial and fungal associations, and fungal communities were less variable than bacterial communities and more accurately reflected host tree traits. Full article

Climate change has been transforming forest ecosystems globally, affecting the sustainability of conventional forest management practices. This study investigates the suitable forestation area (SFA) for Larix kaempferi and Chamaecyparis obtusa and their growth potential in South Korea under various climate change scenarios. Using species distribution models (SDMs) based on machine learning ensembles, we analyzed potential spatial shifts in the climatic suitability for these species. Growth models based on field data were also developed to evaluate growth variation between Köppen–Geiger climatic zones. The results indicate a substantial reduction in the SFA for L. kaempferi, with its habitat range confined to high-altitude regions due to rising temperatures. In contrast, the forestation potential for C. obtusa is predicted to expand nationwide, particularly in inland areas, under climate change scenarios. However, extreme increases in temperature and atmospheric CO₂ concentrations exceeding 600 ppm may inhibit growth, highlighting the need for the development of adaptive management strategies. This study provides useful information for climate-resilient forestation planning by combining growth-weighted suitability indices with projected habitat shifts. These findings emphasize the importance of prioritizing high-altitude conservation zones for L. kaempferi and employing C. obtusa for inland afforestation as a means to ensure sustainable forest management and carbon neutrality objectives. Full article

Stem volume is a critical factor in managing and evaluating forest resources. At present, stem volume is commonly estimated indirectly by constructing a taper model that utilizes sampling, diameter at breast height (DBH), and tree height. However, these estimates are constrained by errors arising from spatial and stand environment variations as well as uncertainties in height measurements. To address these issues, this study aimed to accurately estimate stem volume using light detection and ranging (LiDAR) technology, a key tool in modern precision forestry. LiDAR data were used to build comprehensive three-dimensional models of forests with multi-platform LiDAR systems. This approach allowed for precise measurements of tree heights and stem diameters at various heights, effectively mitigating the limitations of earlier measurement methods. Based on these data, a Kozak taper curve was developed at the individual tree level using LiDAR-derived tree height and diameter estimates. Integrating this curve with LiDAR data enabled a hybrid approach to estimating stem volume, facilitating the calculation of diameters at points not directly identifiable from LiDAR data alone. The proposed method was implemented and evaluated for two economically significant tree species in Korea: Pinus koraiensis and Larix kaempferi. The RMSE comparison between the taper curve-based approach and the hybrid volume estimation method showed that, for Pinus koraiensis, the RMSE was 0.11 m³ using the taper curve-based approach and 0.07 m³ for the hybrid method, while for Larix kaempferi, the RMSE was 0.13 m³ and 0.05 m³, respectively. The estimation error of the hybrid method was approximately half that of the taper curve-based approach. Consequently, the hybrid volume estimation method, which integrates LiDAR and the taper model, overcomes the limitations of conventional taper curve-based approaches and contributes to improving the accuracy of forest resource monitoring. Full article