Journal Description
Forests
Forests
is an international, peer-reviewed, open access journal on forestry and forest ecology published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), Ei Compendex, GEOBASE, PubAg, AGRIS, PaperChem, and other databases.
- Journal Rank: JCR - Q1 (Forestry) / CiteScore - Q1 (Forestry)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.9 days after submission; acceptance to publication is undertaken in 2.8 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Testimonials: See what our editors and authors say about Forests.
Impact Factor:
2.9 (2022);
5-Year Impact Factor:
3.0 (2022)
Latest Articles
Biomass Allocation of China’s Forests as Indicated by a Literature-Based Allometry Database
Forests 2024, 15(6), 942; https://doi.org/10.3390/f15060942 (registering DOI) - 29 May 2024
Abstract
Allometry reflects the quantitative relationship between the allocation of resources among different organs. Understanding patterns of forest biomass allocation is critical to comprehending global climate change and the response of terrestrial vegetation to climate change. By collecting and reorganizing the existing allometric models
[...] Read more.
Allometry reflects the quantitative relationship between the allocation of resources among different organs. Understanding patterns of forest biomass allocation is critical to comprehending global climate change and the response of terrestrial vegetation to climate change. By collecting and reorganizing the existing allometric models of tree species in China, we established a database containing over 3000 empirical allometric models. Based on this database, we analyzed the model parameters and the effect of climate on forest biomass allocation under the context of ‘optimal allocation theory’. We showed that (1) the average and median exponent of power functions for above-ground biomass were 2.344 and 2.385, respectively, which significantly deviated from the theoretical prediction of 2.667 by metabolic theory (p < 0.01). (2) The parameters of the allometric model were not constant, and not significantly correlated with temperature, precipitation, latitude, and elevation (p > 0.05), but were more closely related to individual size (p < 0.01). (3) Among different types of forests, the proportion of above-ground biomass in tropical rainforests and subtropical evergreen rainforests was significantly higher than that in temperate forests and boreal forests (p < 0.05). The proportion of trunk and branch biomass allocated to tropical rainforest was significantly higher than that of boreal forest (p < 0.05), while the proportion of root and leaf biomass allocated to tropical rainforest was significantly lower than that of boreal forest (p < 0.05). (4) The abiotic environment plays a crucial role in determining the allocation of plant biomass. The ratio of below-ground/above-ground biomass is significantly and negatively correlated with both temperature and rainfall (p < 0.01), and significantly and positively correlated with altitude and latitude (p < 0.01). This means that as temperature and rainfall increase, there is a decrease in the amount of biomass allocated to below-ground structures such as roots. On the other hand, as altitude and latitude increase, there is an increase in below-ground biomass allocation. These findings highlight the importance of considering the influence of abiotic factors on plant growth and development.
Full article
(This article belongs to the Section Forest Ecology and Management)
Open AccessArticle
Evaluation of the Compound Effects of the 2022 Drought and Heatwave on Selected Forest Monitoring Sites in Hungary in Relation to Its Multi-Year Drought Legacy
by
Bence Bolla, Miklós Manninger, Tamás Molnár, Bálint Horváth, Jan Szolgay, Zoltán Gribovszki, Péter Kalicz and András Szabó
Forests 2024, 15(6), 941; https://doi.org/10.3390/f15060941 (registering DOI) - 29 May 2024
Abstract
The effects of the changing frequency and severity of drought events in Central Europe may become a growing concern for its forests. In this study, we looked into how Hungary’s forests have been affected by the 2022 compound heatwave and drought, following an
[...] Read more.
The effects of the changing frequency and severity of drought events in Central Europe may become a growing concern for its forests. In this study, we looked into how Hungary’s forests have been affected by the 2022 compound heatwave and drought, following an arid period from 2018 to 2021. We used our active intensive monitoring plots of the Forest Protection Measuring and Monitoring System (Level II in the ICP Forests) across the country between 2017 and 2022. We analyzed satellite images to support a survey of the large-scale drought utilizing moderate and high-resolution data. The health state of the forest calculated and mapped on the NDVI, ZNDVI, and NDWI indices showed damage and regeneration throughout the period studied. Overall, the forest stands observed tolerated the negative impacts of the drought (126–204 mm water deficit in 2022) based on our biomass data (the summer leaf loss was 14% in each monitoring plot). However, the classified Z-NDVI values of the Sentinel-2 satellite imagery for the period 2017–2022 showed a severe drought in 2022, which was followed by some improvement in 2023.
Full article
(This article belongs to the Special Issue Forest Hydrology under Climate Change)
►▼
Show Figures
Figure 1
Open AccessArticle
Assembly and Comparative Analyses of the Chloroplast Genomes of the Threatened Plant Rosa anemoniflora
by
Wei Gao, Xianzhen Zhou, Qun Yu, Guojiang Lin, Chengjie Fu, Tianqi Kang and Huahao Zeng
Forests 2024, 15(6), 940; https://doi.org/10.3390/f15060940 (registering DOI) - 29 May 2024
Abstract
Due to insufficient molecular biology and genetic research on Rosa anemoniflora, this endangered plant has not yet received effective protection. Therefore, the complete chloroplast genome sequence of R. anemoniflora, along with comparative analysis of the chloroplast genomes of related species, is
[...] Read more.
Due to insufficient molecular biology and genetic research on Rosa anemoniflora, this endangered plant has not yet received effective protection. Therefore, the complete chloroplast genome sequence of R. anemoniflora, along with comparative analysis of the chloroplast genomes of related species, is necessary and crucial for reconstructing phylogenetic relationships and developing genetic markers to conserve these species. A series of analyses, including genome structure, GC content, gene number, selection pressure, and nucleotide diversity, were performed by comparing the chloroplast genomes of R. anemoniflora and its relatives. The results indicate that the chloroplast genomes of R. anemoniflora and its close relatives are highly conserved in all genome characteristics, and all protein-coding genes in R. anemoniflora have not experienced significant positive or negative selection pressures. Comparative analysis revealed several variation hotspots, such as the atpH-atpI region, which can serve as a DNA barcode for distinguishing R. anemoniflora from its close relatives. Finally, the results confirmed that R. anemoniflora belongs to Rosa section Synstylae and that R. anemoniflora and its close relatives likely originated from the Fujian and Taiwan regions of China and diverged approximately 3.24 million years ago. This study provides crucial information for future biodiversity conservation and genetic resource management.
Full article
(This article belongs to the Special Issue Forest-Tree Comparative Genomics and Adaptive Evolution)
►▼
Show Figures
Figure 1
Open AccessArticle
Real-Time Estimation of Tree Position, Tree Height, and Tree Diameter at Breast Height Point, Using Smartphones Based on Monocular SLAM
by
Jueying Su, Yongxiang Fan, Abdul Mannan, Shan Wang, Lin Long and Zhongke Feng
Forests 2024, 15(6), 939; https://doi.org/10.3390/f15060939 (registering DOI) - 29 May 2024
Abstract
Precisely estimating the position, diameter at breast height (DBH), and height of trees is essential in forest resource inventory. Augmented reality (AR)-based devices help overcome the issue of inconsistent global point cloud data under thick forest canopies with insufficient Global Navigation Satellite System
[...] Read more.
Precisely estimating the position, diameter at breast height (DBH), and height of trees is essential in forest resource inventory. Augmented reality (AR)-based devices help overcome the issue of inconsistent global point cloud data under thick forest canopies with insufficient Global Navigation Satellite System (GNSS) coverage. Although monocular simultaneous localization and mapping (SLAM) is one of the current mainstream systems, there is still no monocular SLAM solution for forest resource inventories, particularly for the precise measurement of inclined trees. We developed a forest plot survey system based on monocular SLAM that utilizes array cameras and Inertial Measurement Unit (IMU) sensors provided by smartphones, combined with augmented reality technology, to achieve a real-time estimation of the position, DBH, and height of trees within forest plots. Our results from the tested plots showed that the tree position estimation is unbiased, with an RMSE of 0.12 m and 0.11 m in the x-axis and y-axis directions, respectively; the DBH estimation bias is −0.17 cm (−0.65%), with an RMSE of 0.83 cm (3.59%), while the height estimation bias is −0.1 m (−0.95%), with an RMSE of 0.99 m (5.38%). This study will be useful in designing an algorithm to estimate the DBH and position of inclined trees using point clouds constrained by sectional planes at the breast height of the trunk, developing an algorithm to estimate the height of inclined trees utilizing the relationship between rays and plane positions, and providing observers with visual measurement results using augmented reality technology, allowing them to judge the accuracy of the estimates intuitively. Clearly, this system has significant potential applications in forest resource management and ecological research.
Full article
(This article belongs to the Topic Individual Tree Detection (ITD) and Its Applications)
►▼
Show Figures
Figure 1
Open AccessArticle
Identification of RNAi-Related Genes and Transcriptome Assembly of Loblolly Pine (Pinus taeda, L.) Seedlings Exposed to Insect-Specific dsRNA
by
Zachary Bragg and Lynne K. Rieske
Forests 2024, 15(6), 938; https://doi.org/10.3390/f15060938 (registering DOI) - 29 May 2024
Abstract
Considerable research has focused on gene silencing in tree-feeding insects, but how trees recognize and process double-stranded RNA (dsRNA) engineered to target plant pests is unknown. We performed transcriptomic assembly, preliminary differential expression analysis, and in silico annotation on loblolly pine (Pinus
[...] Read more.
Considerable research has focused on gene silencing in tree-feeding insects, but how trees recognize and process double-stranded RNA (dsRNA) engineered to target plant pests is unknown. We performed transcriptomic assembly, preliminary differential expression analysis, and in silico annotation on loblolly pine (Pinus taeda, L.) seedlings exposed to southern pine beetle-specific dsRNA. This pilot study sought to elucidate the baseline response of seedlings challenged with insect-specific dsRNA. Treated and untreated seedlings were sequenced and following transcriptome assembly 20 RNAi-related proteins (RRPs) were annotated. Differential gene expression analysis conducted using DESeq2 followed by pathway enrichment revealed 7131 differentially expressed transcripts, of which 33% were upregulated and 67% were downregulated. Only two RRPs selected for analysis were upregulated in treated seedlings, showing a lack of detectable RNAi response with our methodology. Beyond RNAi-related proteins, pathway enrichment mapped to immune response systems and genetic and cellular processing. Upregulated transcripts included autophagy, amino sugar and nucleotide sugar metabolism, and plant hormone signal transduction. Downregulated transcripts included RNA degradation and fatty acid metabolism pathways. Multiple DICER-LIKE and ARGONAUTE proteins were also annotated in five other North American pines, revealing diversity among these crucial proteins. Understanding host plant response to RNAi-mediated pest control is essential to further develop this technology against tree pests.
Full article
(This article belongs to the Special Issue Molecular Mechanism of Forest Tree Defense against Pathogens and Pests)
►▼
Show Figures
Figure 1
Open AccessReview
Global Overview of the Application of the Braun-Blanquet Approach in Research
by
Natalya Ivanova
Forests 2024, 15(6), 937; https://doi.org/10.3390/f15060937 - 28 May 2024
Abstract
Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis
[...] Read more.
Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors’ publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance.
Full article
(This article belongs to the Special Issue Indicators and Baselines of Afforestation and Reforestation)
Open AccessArticle
Forest Worker Households in the NFPP: Enhancing Sustainable Livelihoods through Capital and Transformation
by
Bo Yu, Bo Cao and Hongge Zhu
Forests 2024, 15(6), 936; https://doi.org/10.3390/f15060936 - 28 May 2024
Abstract
The persistent conflict between strict conservation and community welfare highlights the growing need to address sustainable livelihoods in forest protection programs. The Natural Forest Protection Program (NFPP) is a comprehensive forest protection program spearheaded by the Chinese government. It is designed to facilitate
[...] Read more.
The persistent conflict between strict conservation and community welfare highlights the growing need to address sustainable livelihoods in forest protection programs. The Natural Forest Protection Program (NFPP) is a comprehensive forest protection program spearheaded by the Chinese government. It is designed to facilitate the conservation and restoration of forest ecosystems through a range of interventions, including logging ban, management, tending, and afforestation efforts. Drawing upon longitudinal micro-level household survey data spanning five consecutive years from 2017 to 2021, this research quantifies the sustainable livelihood levels of frontline participants in the NFPP by examining two dimensions: livelihood capital stock and livelihood transformation capacity. Additionally, it investigates the internal differentiation phenomenon within this cohort. The findings suggest that forest worker households engaged in tasks related to forest management, tending, and afforestation are the frontline participants in the NFPP, in contrast to management, technical, and service personnel. Moreover, these forest worker households exhibit a pattern characterized by a higher livelihood capital stock but a lower livelihood transformation capacity compared to non-forest worker households. Furthermore, within forest worker households, there is a significant group differentiation phenomenon, resulting in inter-group differentials in the sustainable livelihood levels based on geographical and seniority stratification criteria. The developers of the global forest protection program should prioritize addressing the sustainable livelihood issues of frontline participants in the program, especially the real problem of mismatches between livelihood capital stock and livelihood transformation capacity. This can be achieved through designing income incentives, stimulating consumption, and other means to enhance the relatively disadvantaged position of frontline participants while balancing the coordination and fairness of the protection program based on the aspects of both protection and development.
Full article
(This article belongs to the Special Issue Forests as Nature-Based Solutions: Ecosystem Services, Multiple Benefits, and Trade-Offs)
Open AccessArticle
Stochastic Optimization of the Management Schedule of Korean Pine Plantations
by
Qianping Tong, Xingji Jin, Timo Pukkala, Lihu Dong and Fengri Li
Forests 2024, 15(6), 935; https://doi.org/10.3390/f15060935 - 28 May 2024
Abstract
Korean pine is one of the most important tree species in northeastern China, where Korean pine plantations produce timber and edible seeds. Often, seeds create more income than timber. Predicting the timber and cone yields of alternative management schedules of the plantations involves
[...] Read more.
Korean pine is one of the most important tree species in northeastern China, where Korean pine plantations produce timber and edible seeds. Often, seeds create more income than timber. Predicting the timber and cone yields of alternative management schedules of the plantations involves uncertainty because the future climatic conditions for tree growth and cone production are unknown. This study developed a simulation model that generates stochastic variation around the predictions of tree growth and cone yield models, allowing the forest manager to seek cutting schedules that maximize the expected amounts of timber or cones, or the expected economic profit, under uncertain future states of nature. Stochastic analysis also facilitates management optimizations for different risk attitudes. The differential evolution algorithm and the developed stochastic simulation model were used to optimize the management of planted Korean pine. Timber and cone yields of a management schedule were calculated under 100 different scenarios for tree growth and cone production. When the growth and cone yield scenarios were stationary (no temporal trends), the optimal management schedules were similar to those of deterministic optimization. The benefits of stochastic optimization increased when it was assumed that the tree growth scenarios may contain climate-change-induced trends. Non-stationary growth variation led to shorter optimal rotation lengths than stationary growth variation. Increasing risk tolerance shortened optimal rotations.
Full article
(This article belongs to the Section Forest Ecology and Management)
►▼
Show Figures
Figure 1
Open AccessArticle
Genetic Diversity and Population Structure of Bursaphelenchus xylophilus in Guangdong, Guangxi, and Jiangsu Provinces in China
by
Yuan Feng, Wenjing Jian, Xiaolei Ding and Jianren Ye
Forests 2024, 15(6), 934; https://doi.org/10.3390/f15060934 - 28 May 2024
Abstract
This study aimed to investigate the genetic structures of pine wood nematodes (PWNs, Bursaphelenchus xylophilus (Steiner & Buhrer) Nickle)), in Guangdong (GD), Guangxi (GX), and Jiangsu (JS) Provinces (the major PWN dispersal centers). Furthermore, we also explored potential migration routes among the
[...] Read more.
This study aimed to investigate the genetic structures of pine wood nematodes (PWNs, Bursaphelenchus xylophilus (Steiner & Buhrer) Nickle)), in Guangdong (GD), Guangxi (GX), and Jiangsu (JS) Provinces (the major PWN dispersal centers). Furthermore, we also explored potential migration routes among the different provinces in order to provide insights into the epidemic source of PWNs in the three provinces in China. We re-sequenced a total of 241 PWNs collected from the above provinces using next-generation sequencing to obtain raw genomic data. Bioinformatics analysis was used to identify the SNPs, genetic structures, and selective sweeps of the PWNs. The results indicate that the PWNs from these three provinces can be classified into five groups (A, B, C, D, and E), among which the genetic variations are significant. All PWN strains from JS were exclusively found in Group A. The PWNs in Groups B and C were composed of strains from GD and GX, while Groups D and E comprised only GD strains. Introgression analysis identified two possible pathways: (1) from Group A to Group B-GX and (2) from Group E to Group D. Selective sweep analysis showed that in Groups B and C, the candidate genes of Group B were mainly related to pectin lyase activity.
Full article
(This article belongs to the Section Genetics and Molecular Biology)
►▼
Show Figures
Figure 1
Open AccessArticle
Applicability Evaluation of Modified Epoxy Resin in the Repair and Reinforcement of Ancient Building Timber Members
by
Xu Han, Shuangyong Wang, Lei Huang and Haibin Zhou
Forests 2024, 15(6), 933; https://doi.org/10.3390/f15060933 - 28 May 2024
Abstract
To investigate the potential of modified epoxy resin for repairing and strengthening historical wooden structures, this study utilized polyurethane and silicone-modified epoxy resin as the base, alongside a polyamine curing agent. The resin mixture was cured at ambient temperature, resulting in the creation
[...] Read more.
To investigate the potential of modified epoxy resin for repairing and strengthening historical wooden structures, this study utilized polyurethane and silicone-modified epoxy resin as the base, alongside a polyamine curing agent. The resin mixture was cured at ambient temperature, resulting in the creation of ten unique epoxy resin systems. Investigation into the chemical structure and alterations to the glass transition temperature were conducted. The study conducted tests and characterization of viscosity, curing rate, mechanical properties, stress failure mode, hygrothermal aging resistance, and bonding properties. The results reveal that the curing degree of the two modified epoxy resins is high after being cured at room temperature, and the chemical structure and curing rate show insignificant changes. The range of the glass transition temperature for the modified epoxy resin is between 61.31 °C and 70.51 °C. The incorporation of polyurethane and silicone molecular chains into the epoxy resin cross-linking curing system enhances the toughness of the epoxy resin. The modified resin achieves a maximum elongation at break that is 5.18 times greater than that of the unmodified resin, along with a maximum tensile strength and a compressive strength that are 7.94 and 1.74 times, respectively, higher than those in the Chinese technical specifications for the maintenance and reinforcement of ancient wooden structures. The increase in toughness changes the failure mode of the cured epoxy resin. The modified epoxy resin exhibits great bonding ability to aged wood, with a shear strength of up to 9.6 MPa along the grain. As a result, the modified epoxy resin meets the requirements for the reinforcement and repair of the timber members of ancient buildings.
Full article
(This article belongs to the Section Wood Science and Forest Products)
►▼
Show Figures
Figure 1
Open AccessArticle
Study on Preparation Optimization Technology and Surface Properties of Decorated Bamboo Filament Board
by
Hui Li, Meiling Chen, Yongjie Bao, Xiao Wang, Jie Gao, Yu Li, Junzhang Li and Chengjian Huang
Forests 2024, 15(6), 932; https://doi.org/10.3390/f15060932 - 27 May 2024
Abstract
To further improve the manufacturing process and product performance of decorated bamboo filament board, the Box–Behnken response surface analysis method was used to analyze the correlation between the hot-pressing parameters and surface bonding strength, and the optimal process optimization parameters were obtained. In
[...] Read more.
To further improve the manufacturing process and product performance of decorated bamboo filament board, the Box–Behnken response surface analysis method was used to analyze the correlation between the hot-pressing parameters and surface bonding strength, and the optimal process optimization parameters were obtained. In addition, the wettability and color of each group of samples were tested. The results show that the optimum process parameters of decorated bamboo filament boards were 130 °C, 165 s and 2.00 MPa, and the surface bonding strength was 1.58 MPa. The relative error between the measured value and the predicted value was less than 5%. The contact angle of the bamboo filament after hot pressing was higher than without hot pressing. However, there was no correlation between wettability and the hot-pressing parameters. There was no effect on the change in bamboo surface color. This indicates that the temperature range selected in this study meets the requirements of surface color control in production.
Full article
(This article belongs to the Section Wood Science and Forest Products)
Open AccessArticle
Response of Rhododendron simsii and Rhododendron delavayi Superoxide Dismutase Family Genes to High-Temperature Stress
by
Xingmin Geng, Li Hua, Jiyi Gong, Yin Yi, Ming Tang and Fanyu Ceng
Forests 2024, 15(6), 931; https://doi.org/10.3390/f15060931 - 27 May 2024
Abstract
Superoxide dismutases (SODs) are the first line of defense in the antioxidant defense system, and they play an essential role in various adversity stress adaptations in Rhododendron. In this study, 9 Rhododendron simsii SODs (RsSODs) and 11 Rhododendron delavayi SODs
[...] Read more.
Superoxide dismutases (SODs) are the first line of defense in the antioxidant defense system, and they play an essential role in various adversity stress adaptations in Rhododendron. In this study, 9 Rhododendron simsii SODs (RsSODs) and 11 Rhododendron delavayi SODs (RdSODs) genes were identified in the genomes of R. simsii and R. delavayi. Phylogenetic relationship analysis classified SOD proteins from two Rhododendron species and other related species into three subfamilies. The results of gene structure and conserved motif analysis show that SOD proteins are strongly evolutionarily conserved, and SODs of the same subfamily have similar motif distributions, positions, and lengths. Twenty-two light-responsive elements, eight phytohormone regulatory elements, five adversity stress-related elements, and three growth and development regulatory elements were detected in the RsSOD and RdSOD promoters. Quantitative real-time fluorescence polymerase chain reaction analysis showed that among the 20 candidate genes, except for RdCSD5, the other SODs were expressed in at least one of four tissues, and all of these gene family members had high expression levels in the leaves. We then investigated the response of the RsSOD and RdSOD gene families to high-temperature stress in combination with the following specific stressors: abscisic acid, ethephon, and hydrogen peroxide treatments, followed by high-temperature stress. Different degrees of upregulated expression of the detected SOD gene family members were found for exogenous reagent treatments and different times of high-temperature stress. Thus, we provide a basis for the further functional characterization of SOD genes in R. simsii and R. delavayi in the future.
Full article
(This article belongs to the Special Issue Genome-Wide Identification and Expression Analysis for the Genetic Improvement of Forest Plants)
Open AccessArticle
Impacts of Deep-Rooted Apple Tree on Soil Water Balance in the Semi-Arid Loess Plateau, China
by
Wei Xiang, Bingcheng Si, Huijie Li, Min Li, Jinxi Song and Yulu Tian
Forests 2024, 15(6), 930; https://doi.org/10.3390/f15060930 - 27 May 2024
Abstract
Partitioning soil water balance (SWB) is an effective approach for deciphering the impacts of vegetation change on soil hydrological processes. Growing apple trees on the Loess Plateau, China, leads to a substantial deep soil water deficit, posing a serious threat to the sustainable
[...] Read more.
Partitioning soil water balance (SWB) is an effective approach for deciphering the impacts of vegetation change on soil hydrological processes. Growing apple trees on the Loess Plateau, China, leads to a substantial deep soil water deficit, posing a serious threat to the sustainable development of apple production. However, the impact of deep-rooted apple trees on SWB remains poorly understood. In this study, we conducted a “Paired Plot” experiment to achieve this objective by decoupling SWB components using water stable isotopes, tritium, and soil water contents from deep soil cores (up to 25 m) under apple orchards with a stand age gradient of 8–23 years. The results showed that deep soil water storage under apple orchards was notably reduced compared to nearby farmland, showing a stand age-related pattern of deep soil water deficit (R2 = 0.91). By analyzing the changing patterns of SWB components, we found that the main factor driving this deficit is the water uptake process controlled by the deep root system. This process is triggered by the increased transpiration demand of apple trees and short-term water scarcity. These findings have implications for understanding soil water dynamics, sustainable agroforestry management, and soil water resources’ protection in this region and other similar water-limited areas.
Full article
(This article belongs to the Section Forest Soil)
Open AccessArticle
Exploring the Differences in Tree Species Classification between Typical Forest Regions in Northern and Southern China
by
Jia Zhang, Hao Li, Jia Wang, Yuying Liang, Rui Li and Xiaoting Sun
Forests 2024, 15(6), 929; https://doi.org/10.3390/f15060929 - 26 May 2024
Abstract
Focusing on the trend of continuously seeking high-precision tree species classification results in small areas from the perspectives of sensors and classification algorithms. This study aimed to explore the effects of data sources, classifiers, and seasons on classification accuracy in regions with significant
[...] Read more.
Focusing on the trend of continuously seeking high-precision tree species classification results in small areas from the perspectives of sensors and classification algorithms. This study aimed to explore the effects of data sources, classifiers, and seasons on classification accuracy in regions with significant environmental variation, examining patterns of tree species classification to enhance the transferability of classification. Considering two typical forest distribution regions in the north and south of China, this study utilized the revisitation cycle and open-source advantages of Sentinel-2 and Landsat-8. Leveraging the Google Earth Engine (GEE) platform, this study captured spectral features, vegetation indices, and texture features for single seasonal and seasonal combination images. With the assistance of Sentinel-1A and SRTM (Shuttle Radar Topography Mission) DEM (Digital Elevation Model), backscattering coefficient features and topographical features were extracted and input with features captured from Sentinel-2 and Landsat-8 into three types of classifiers: random forest (RF), support vector machine (SVM), and gradient tree boosting (GTB) for major tree species classification. In this research, we discovered that the best classification for single season in the northern study area was spring, whereas, for the southern study area, it was winter. Seasonal combination images effectively improved the classification accuracy of single seasonal images, with Sentinel-2 imagery displaying better classification performance compared to Landsat-8, and the optimal classifier differing between the north and the south. The inclusion of topographical or backscattering coefficient features in the four-season combination imagery contributed to improvements in classification accuracy, with topographical features significantly enhancing the classification performance in the topographically varied southern study area. The evaluation of feature importance indicated that elevation was the most critical feature for classification, while spectral features and vegetation indices were also significant. In the southern study area with large topographical discrepancies, subdividing into different terrain units led to improved tree species classification accuracy in medium-altitude, gentle slope areas. These findings provide insights into the regularity of enhancing tree species classification accuracy in environmentally diverse areas through the use of multi-source remote sensing data and multi-seasonal imagery. Consequently, the results offer a reference for the identification of tree species across large areas and the creation of spatial distribution maps.
Full article
(This article belongs to the Special Issue Study of Forest Landscape Development Based on Geospatial Technologies)
Open AccessArticle
Nature-Based Solutions to Reduce Air Pollution: A Case Study from Plovdiv, Bulgaria, Using Trees, Herbs, Mosses and Lichens
by
Slaveya Petrova, Iliana Velcheva and Bogdan Nikolov
Forests 2024, 15(6), 928; https://doi.org/10.3390/f15060928 - 26 May 2024
Abstract
Nature-based solutions (NBSs) are becoming more and more recognized as useful instruments to address the challenges that urban areas are currently facing, i.e., climate change adaptation, flood mitigation, etc. In the present study, we aimed to: (1) compare the efficiency of mosses, lichens,
[...] Read more.
Nature-based solutions (NBSs) are becoming more and more recognized as useful instruments to address the challenges that urban areas are currently facing, i.e., climate change adaptation, flood mitigation, etc. In the present study, we aimed to: (1) compare the efficiency of mosses, lichens, herbs and trees in removing pollutants from the urban air using their biomonitoring potential; (2) assess their efficiency as nature-based solutions to mitigate urban air pollution; and (3) propose a framework for implementing such NBSs in urban areas. The first step involved analyses of the concentrations of 20 potentially toxic elements in eight selected biomonitors. After that, an assessment of their removal capacity was made on the basis of elements accumulation. This is the first complex study in an urban area involving the simultaneous application of organisms of eight different species and four different systematic groups (lichenized fungi, mosses, herbaceous plants, woody species) as well as such a large number of potentially hazardous elements. The present study sheds new light on some well-known biomonitors in the context of their application for air pollution mitigation. The great potential of the eight studied plant species for efficient removal of potentially toxic elements is highlighted and their implementation into NBS frameworks is recommended.
Full article
(This article belongs to the Special Issue Advances on the Influence of Vegetation and Forest on Urban Air Quality and Thermal Comfort—Series II)
►▼
Show Figures
Figure 1
Open AccessArticle
Unraveling Forest Practice Policies in China: Subnational Comparisons through Policy Prescriptiveness Framework
by
Yimin Fu, Yixian Sun, Jinlong Liu, Benjamin William Cashore and Wenyuan Liang
Forests 2024, 15(6), 927; https://doi.org/10.3390/f15060927 - 26 May 2024
Abstract
Forest policy classification is critical to conducting comparisons and understanding performance variations across cases. Chinese-style forest policy has been in a black box to many outsiders, who tend to assume a decentralization policy model due to a great diversity of forest and socio-economic
[...] Read more.
Forest policy classification is critical to conducting comparisons and understanding performance variations across cases. Chinese-style forest policy has been in a black box to many outsiders, who tend to assume a decentralization policy model due to a great diversity of forest and socio-economic conditions in China. To test this hypothesis, we used the policy prescriptiveness framework to classify on-the-ground forest practice policies in central government and eight provinces, covering extensive territorial variations. We found that the eight subnational cases that implemented local policies appeared to be consistent with central policies, but there were also subtle differences within them. Our findings show that China utilized centralized and top-down policy models.
Full article
(This article belongs to the Special Issue Sustainable Forest Management, Utilization and Biodiversity Conservation)
Open AccessArticle
Genome-Wide Identification, Characterization, and Expression Analysis of the CYP450 Family Associated with Triterpenoid Saponin in Soapberry (Sapindus mukorossi Gaertn.)
by
Chunyuan Zheng, Mingzhu Zhou, Jialin Fan, Yuhan Gao, Yuanyuan Xu, Liming Jia, Xinmin An, Zhong Chen and Lianchun Wang
Forests 2024, 15(6), 926; https://doi.org/10.3390/f15060926 - 26 May 2024
Abstract
Soapberry (Sapindus mukorossi Gaertn.) is a tree species of the family Sapindaceae, the pericarp of which is rich in triterpenoid saponins, which are important in chemical production, biomedicine, and other fields. Cytochrome P450 monooxygenase (CYP450) is involved in the modification of the
[...] Read more.
Soapberry (Sapindus mukorossi Gaertn.) is a tree species of the family Sapindaceae, the pericarp of which is rich in triterpenoid saponins, which are important in chemical production, biomedicine, and other fields. Cytochrome P450 monooxygenase (CYP450) is involved in the modification of the skeletons of triterpenoid saponins and is linked to their diversity. We previously identified 323 CYP450 genes in the transcriptome of soapberry and screened 40 CYP450 genes related to the synthesis of triterpenoid saponins by gene annotation and conserved structural domain analysis. The genetic structure and phylogeny of the CYP450 genes were analyzed separately. Phylogenetic analysis categorized the CYP450 genes of soapberry into five subfamilies, the members of which had similar conserved cumulative sequences and intron structures. A cis-acting element analysis implicated several genes in the responses to environmental changes and hormones. The expression of several genes during eight periods of fruit development was analyzed by real-time quantitative qRT-PCR; most showed high expression during the first four periods of fruit development, and their expression decreased as the fruits matured. A co-expression network analysis of SmCYP450s and related genes in the triterpenoid saponin synthesis pathway was performed. Correlation analysis showed that 40 SmCYP450s may be involved in saponin synthesis in soapberry. The triterpenoid saponin synthesis-related candidate genes identified in this study provide insight into the synthesis and regulation of triterpenoid saponins in soapberry.
Full article
(This article belongs to the Section Forest Ecophysiology and Biology)
►▼
Show Figures
Figure 1
Open AccessArticle
Utilizing Multi-Source Data and Cloud Computing Platform to Map Short-Rotation Eucalyptus Plantations Distribution and Stand Age in Hainan Island
by
Xiong Yin, Mingshi Li, Hongyan Lai, Weili Kou, Yue Chen and Bangqian Chen
Forests 2024, 15(6), 925; https://doi.org/10.3390/f15060925 - 26 May 2024
Abstract
Short-rotation eucalyptus plantations play a key positive role in the forestry economy due to their fast-growing and high-yielding properties. However, some studies have suggested that eucalyptus plantations introductions may have negative impacts on biodiversity and ecosystems’ stability. In order to precisely and promptly
[...] Read more.
Short-rotation eucalyptus plantations play a key positive role in the forestry economy due to their fast-growing and high-yielding properties. However, some studies have suggested that eucalyptus plantations introductions may have negative impacts on biodiversity and ecosystems’ stability. In order to precisely and promptly determine the influence of eucalyptus plantations on soil characteristics and hydrological processes, based on the rotation change rules of eucalyptus plantations, this study combined the continuous change detection and classification and spectral mixture analysis (CCDC-SMA) algorithm and the random forest (RF) algorithm to map the distribution and stand age of short-rotation eucalyptus plantations in Hainan Island. First, the forest distribution map was used to mask out the rubber plantations, and forest disturbances were extracted through the CCDC-SMA algorithm to determine the potential short-rotation eucalyptus plantations distribution. Second, using CCDC-SMA algorithm fitting coefficients, field surveys, original spectral bands, vegetation indices, and digital elevation models (DEM) as inputs to the RF algorithm, short-rotation eucalyptus plantations distribution maps were created and evaluated based on Google Earth images. Finally, the stand age of the newly mapped short-rotation eucalyptus plantations was estimated based on the breakpoints of the CCDC-SMA algorithm. The results showed that the producer, user, and overall accuracies of the 2022 short-rotation eucalyptus plantations map were estimated at 0.95, 0.95, and 0.94, respectively, and the validation R2 of the estimated stand ages was at 0.97. The eucalyptus plantations in Hainan Island had a total area of roughly 9.93 × 104 ha in 2022. Danzhou City had the highest planting area of eucalyptus plantations, followed by Changjiang County, Chengmai County, and Lingao County. It was worth noting that the eucalyptus plantations were mostly located in places with low altitudes (<200 m) and flat slopes (<10°). Approximately 43.91% of eucalyptus plantations were located in the three major watersheds. In addition, the 1-year-old eucalyptus plantations accounted for the highest areal percentage of 30.58%. These datasets are valuable tools to aid sustainable production, ecological assessment, and conservation of eucalyptus plantations.
Full article
(This article belongs to the Special Issue Forest Ecosystem Services: Modelling, Mapping and Valuing)
Open AccessArticle
Stand Structure and Functional Traits Determine Productivity of Larix principis-rupprechtii Forests
by
Jing Zhang, Ming Li, Ruiming Cheng, Zhaoxuan Ge, Chong Liu and Zhidong Zhang
Forests 2024, 15(6), 924; https://doi.org/10.3390/f15060924 - 26 May 2024
Abstract
Forest productivity (FP) depends not only on tree species diversity but also on functional traits, stand structure, and environmental factors; however, causation and relative importance remain controversial. The effects of tree species diversity (species richness), trait community-weighted mean (CWM), forest structure (forest density
[...] Read more.
Forest productivity (FP) depends not only on tree species diversity but also on functional traits, stand structure, and environmental factors; however, causation and relative importance remain controversial. The effects of tree species diversity (species richness), trait community-weighted mean (CWM), forest structure (forest density and maximum DBH), and environmental factors (soil nutrients and elevation) on larch (Larix principis-rupprechtii Mayr) forests’ productivity were investigated, and the relative importance of each factor in determining productivity was quantified. Our results showed that stand structure and functional traits had significant positive effects on the basal area increment (BAI) of larch stands (p < 0.05) and were more important than tree diversity and environmental factors in explaining BAI variations. The contribution ratio of each influencing factor was as follows: stand structure (59%), functional composition (30%), environmental factors (9%), and species diversity (SD) (2%). The biomass ratio hypothesis was more important than the niche complementarity hypothesis in explaining the relationship between species diversity and productivity. The structural equation model showed that environmental factors did not directly affect the BAI in larch forests but indirectly affected the BAI through tree diversity and stand structure. Therefore, in larch forests with low species richness, it is more important to adjust stand structure to maintain overyielding while also considering the influence of environmental factors.
Full article
(This article belongs to the Section Forest Ecology and Management)
►▼
Show Figures
Figure 1
Open AccessArticle
Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis
by
Yee Jian Chew, Shih Yin Ooi, Ying Han Pang and Zheng You Lim
Forests 2024, 15(6), 923; https://doi.org/10.3390/f15060923 - 26 May 2024
Abstract
This study developed a comprehensive framework using Google Earth Engine to efficiently generate a forest fire inventory dataset, which enhanced data accessibility without specialized knowledge or access to private datasets. The framework is applicable globally, and the datasets generated are freely accessible and
[...] Read more.
This study developed a comprehensive framework using Google Earth Engine to efficiently generate a forest fire inventory dataset, which enhanced data accessibility without specialized knowledge or access to private datasets. The framework is applicable globally, and the datasets generated are freely accessible and shareable. By implementing the framework in Peninsular Malaysia, significant forest fire factors were successfully extracted, including the Keetch–Byram Drought Index (KBDI), soil moisture, temperature, windspeed, land surface temperature (LST), Palmer Drought Severity Index (PDSI), Normalized Vegetation Index (NDVI), landcover, and precipitation, among others. Additionally, this study also adopted large language models, specifically GPT-4 with the Noteable plugin, for preliminary data analysis to assess the dataset’s validity. Although the plugin effectively performed basic statistical analyses and visualizations, it demonstrated limitations, such as selectively dropping or choosing only relevant columns for tests and automatically modifying scales. These behaviors underscore the need for users to perform additional checks on the codes generated to ensure that they accurately reflect the intended analyses. The initial findings indicate that factors such as KBDI, LST, climate water deficit, and precipitation significantly impact forest fire occurrences in Peninsular Malaysia. Future research should explore extending the framework’s application to various regions and further refine it to accommodate a broader range of factors. Embracing and rigorously validating large language model technologies, alongside developing new tools and plugins, are essential for advancing the field of data analysis.
Full article
(This article belongs to the Special Issue Managing Forest Wildfires in Climate Changes: New Paradigms and Challenges)
Journal Menu
► ▼ Journal Menu-
- Forests Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Agriculture, Energies, Forests, Land, Sustainability
Low Carbon Economy and Sustainable Development
Topic Editors: Liang Liu, Xudong Chen, Guangxu Li, Baoguo Du, Xiaoying Lai, Yingwei AiDeadline: 31 May 2024
Topic in
Drones, Forests, Land, Remote Sensing, Sustainability
Individual Tree Detection (ITD) and Its Applications
Topic Editors: Ana Paula Dalla Corte, Midhun (Mikey) Mohan, Meshal M. Abdullah, Ewane Basil Ewane, Ana NovoDeadline: 30 June 2024
Topic in
Agronomy, Diversity, Forests, IJPB, Plants
Plant Invasion
Topic Editors: Bruce Osborne, Panayiotis G. DimitrakopoulosDeadline: 31 July 2024
Topic in
Agriculture, Agronomy, Forests, Remote Sensing, Sustainability
Challenges, Development and Frontiers of Smart Agriculture and Forestry—2nd Volume
Topic Editors: Xiaoli Zhang, Dengsheng Lu, Xiujuan Chai, Guijun Yang, Langning HuoDeadline: 31 August 2024
Conferences
Special Issues
Special Issue in
Forests
Structure and Species Composition of Forests – Prospects and Challenges for Adaptative Forest Management
Guest Editors: Ion Catalin Petritan, Jarosław PaluchDeadline: 31 May 2024
Special Issue in
Forests
Biodiversity and Ecology of Organisms Associated with Woody Plants
Guest Editors: Katarína Pastirčáková, Rostislav ZemekDeadline: 10 June 2024
Special Issue in
Forests
Forest Pathology and Entomology—Series II
Guest Editors: Salvatore Moricca, Tiziana PanzavoltaDeadline: 30 June 2024
Special Issue in
Forests
Synergies and Trade-Offs between Nature Conservation and Climate Mitigation in European Beech Forests
Guest Editors: Thomas Dirnböck, Robert Jandl, Hanns KirchmeirDeadline: 19 July 2024
Topical Collections
Topical Collection in
Forests
Forests Carbon Fluxes and Sequestration
Collection Editor: Mark Harmon
Topical Collection in
Forests
Sustainable Forest Management: Past, Present, Future
Collection Editor: Heli Peltola
Topical Collection in
Forests
Reviews and Meta-Analyses in Forest Meteorology and Climate Change
Collection Editors: Giacomo Alessandro Gerosa, Riccardo Marzuoli
Topical Collection in
Forests
Forest Sustainable Management in Europe
Collection Editor: Ignacio Diaz-Maroto