Forest Research Research Articles

Variation in Morphological Characters of Leaf and Culm Sheath of Bambusa vulgaris Schrad. ex.Wendl. in Central India

The feasibility of Bambusa vulgaris schrad. ex Wendl. has been assessed globally for a variety of uses. It is one of the fastest growing bamboo and can thrive in both moist and dry climates. To disseminate substantial baseline data on morphological variations of the species, morphological characteristics of leaf and culm sheath of Candidate Plus Clumps (CPCs) were evaluated followed by genetic analysis of growth attributes of three bamboo stands viz., MP-RJR, MH-AMR and OR-KLN, in three distinct states Madhya Pradesh, Maharashtra, and Odisha of central India. Significant differences in leaves and culm sheaths were noticed among the CPCs and bamboo stands during the investigation. OR-KLN was observed with the longest leaf (22.77 cm) and the broadest leaf lamina at the top (1.58 cm). Longest average culm sheath blade (30.37 cm) in MH-AMR and maximum average sheath diameter (33.23 cm) in OR-KLN were recorded. High values for phenotypic coefficient of variations, genotypic coefficient of variations, heritability and genetic advance as mean percentage were obtained for clump diameter and number of culms per clump. This can be used as selection criteria in the improvement programme of Bambusa vulgaris var. Green.
 Aims: To study morphological variation of leaf and culm sheath of Bambusa vulgaris schrad. ex Wendl. at three bamboo stands associated with genetic analysis in growth attributes.
 Study Design: Complete Randomised design (CRD).
 Place and Duration of Study: Morphological data of Candidate Plus Clumps (CPCs), leaf and culm sheath of Bambusa vulgaris was recorded at bamboo stands in Rajore, Madhya Pradesh, Kalinga, Odisha and Amravati, Maharashtra from September 2021 to November 2022. Further investigation, statistical analysis and other studies were carried out at Genetics and Tree Improvement Division, Tropical Forest Research Institute, Jabalpur, M.P., India.

Wood anatomical features of Anacardiaceae from Malaysia

This study examined the anatomical features of Anacardiaceae from Malaysia. A total of 31 species from 13 genera of the family Anacardiaceae in Malaysia were obtained from Kepong Xylarium (KEPw), Forest Research Institute Malaysia. The genera in Anacardiaceae were distinguished based on anatomical features. The diagnostic anatomical features that were used to separate the genera are scalariform perforations plates present in Campnosperma, larger rays in Pentaspadon and Spondias, and radial canals in some genera. Mineral inclusion, i.e., crystals and silica also could be diagnostic features to distinguish the genera in Malaysian Anacardiaceae; silica was observed in Gluta, Parishia, and Swintonia. Anatomical features could be used as indicators to the other wood properties and lead to potential usage of timber in Anacardiaceae. However, the presence of druses in individual Toxicodendron succedaneum indicated its adaptation to the local microclimatic conditions.

Development of a site form equation for predicting and mapping site quality. A case study of unmanaged beech forests in the Cantabrian range (NW Spain)

Site form (SF), expressed as the dominant height of a stand at a reference dominant diameter, is used less often than site index (SI) to estimate forest site quality. However, it has the advantage that it is age-independent and can therefore be applied in a wider set of situations in forestry practice. Like SI, elaboration of SF has traditionally required stem analysis or repeated measurements in permanent plots; however, Airborne Laser Scanning (ALS) can nowadays be used to generate site quality practical maps, thereby simplifying the method. The aims of this study were to fit a dynamic equation to stem analysis data in order estimate SF in natural beech forests in NW Spain, as well as to compare the performance of SF for site quality estimation and to analyze the possibility of using ALS data for site quality prediction in these forests. The Algebraic Difference Approach formulation of the Bertalanffy-Richards model provided the best results and defined four curves for dominant heights of 5, 10, 15 and 20 m at a reference dominant diameter of 20 cm. A significant relationship between SF and SI was observed, and we therefore believe that SF is a good approach for site quality estimation. These results can be used directly at inventory plot level for establishing site quality classes without the need to know the stand age, either in terms of SF or translated into SI. On the other hand, ALS data allowed estimation of both dominant height and dominant diameter, although better results were obtained with the former. Applying the SF dynamic model to both data sets enabled prediction of SF at 25x25 m/pixel (and SI using the SI-SF relationship). The overall accuracy of the relationship between the observed SI and that predicted from ALS metrics yielded a coefficient of determination of 0.456 without bias, heteroscedasticity or absence of normality. The results of this unbiased raster model were considered rather good, as predictions were obtained for a pixel size of 25x25 m (0.0625 ha). Prediction of mean SI value for one hectare would thus be necessary to average the values obtained in 16 pixels with an expected error compensation. Use of the raster model based on ALS metrics will enable site quality estimation for current beech stands at high spatial resolution without the need for fieldwork, providing very valuable information for forest managers and researchers.

Современное состояние селекции и семеноводства хвойных пород

The article analyzes and summarizes information on breeding and seed production of the main forest-forming and commercial species for the countries of Northern Europe and Russia: Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) H. Karst). It is shown that in the last 40–50 years Sweden and Finland have completed the first (primary) cycle of plus-tree breeding, and the second cycle is being actively pursued. In terms of seed production, this means a gradual replacement of the 1st generation forest seed orchards with the forest seed orchards of enhanced genetic value (of 1.5 and 2nd generation). By the middle of the 21st century, the productivity of new artificial stands is expected to increase by 20–25 % in terms of stem wood stock due to breeding work. Successful and quite large-scale works were undertaken in plus trees phenotypic breeding and forest seed orchards (1st generation) planting in some regions of European Russia in the last third of the 20th century. However, even this first (primary) cycle of plus-tree breeding has not been fully completed. The latter makes it possible to lay out the necessary areas of multiplicative populations of increased genetic value – forest seed orchards of the 1.5 generation. Although this is impossible to achieve in many subjects of the Northwestern Federal District due to the insufficient number of selected plus trees and, most importantly, the extremely small area of progeny tests. At present, the vast majority of initially selected plus trees were not genetically tested, which hinders the possibility of further development of the plus-tree breeding system. Russia also lacks special breeding zoning of the main forest-forming species, providing a spatial organization of breeding work and the use of seeds from forest seed orchards. A federal program for the preservation and sustainable management of forest genetic resources of the Russian Federation, together with a number of subprograms for genetic research and breeding of the most important forest-forming species, should be developed to achieve progress in this direction, considering current advances in molecular genetics and biotechnology. Acknowledgments: Financial support of the research was provided by the federal budget for the state assignment of the Forest Research Institute and the Department of Multidisciplinary Scientific Research of Karelian Research Centre, Russian Academy of Sciences with partial support of the World-class Scientific and Educational Center “Russian Arctic: New Materials, Technologies and research Methods”. For citation: Raevsky B.V., Ignatenko R.V., Novichonok E.V., Prokopiuk V.M., Kuklina K.K. The Current State of Conifer Species Breeding and Seed Production. Lesnoy Zhurnal = Russian Forestry Journal, 2022, no. 6, pp. 9–37. (In Russ.). https://doi.org/10.37482/0536-1036-2022-6-9-37

Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position

Plant functional traits are rarely used in tree species classification, and the impact of vertical canopy positions on collecting samples for classification also remains unclear. We aim to explore the feasibility and effectiveness of leaf traits in classification, as well as to detect the effect of vertical position on classification accuracy. This work will deepen our understanding of the ecological mechanism of natural forest structure and succession from new perspectives. In this study, we collected foliar samples from three canopy layers (upper, middle and lower) and measured their spectra, as well as eight well-known leaf traits. We used a leaf hyperspectral reflectance (LHR) dataset, leaf functional traits (LFT) dataset and LFT + LHR dataset to classify six dominant tree species in a subtropical evergreen broad-leaved forest. Our results showed that the LFT + LHR dataset achieved the highest classification results (overall accuracy (OA) = 77.65% and Kappa = 0.73), followed by the LFT dataset (OA = 74.26% and Kappa = 0.69) and the LHR dataset (OA = 69.06% and Kappa = 0.63). Along the vertical canopy, the OA and Kappa increased from the lower to the upper layers, and the combination data of the three canopy layers achieved the highest accuracy. For the individual tree species, the shade-tolerant species (including Machilus chinensis, Cryptocarya chinensis and Cryptocarya concinna) produced higher accuracies than the light-demanding species (including Schima superba and Castanopsis chinensis). Our results provide an approach for enhancing tree species recognition from the plant physiology and biochemistry perspective and emphasize the importance of vertical direction in forest community research.

Screening of Newly Developed clones of Populus deltoides Bartr. ex Marsh for their relative natural resistance Against poplar defoliator, Clostera cupreata Butler (Lepidoptera: Notodontidae)

Poplar, Populus deltoides is one of the fast growing forestry species and widely planted in the farm forestry in north-western India. This species is very susceptible to the defoliator C. cupreata insect pest which causes economic loss every year. To manage this pest with eco-friendly method, screening of relatively resistant clones was carried out in Forest Entomology Discipline, Forest Research Institute, Dehradun. In this study 39 clones were screened in which 34 clones were developed by FRI, Dehradun and five other clones were included. Screening of the clones was undertaken based on the leaf area consumed by larval stage under 'choice' and 'no-choice' method of feeding. Results of the present study revealed that clones viz. FRI-PD-FS-95, FRI-PD-FS-28, FRI-PD-FS-21, and one clone of Australia G-48 were found to be the most resistant against C. cupreata with the feeding of 24.18, 41.04, 42.07 and 48.39 cm2, respectively. The feeding data of both the 'choice' and 'no-choice' experiment were positively correlated with each other. Therefore, these clones may be opted for plantation under farm forestry in north western India for achieving the better growth of the poplar.

Soil health indicators for monitoring forest ecological restoration: a critical review

Forest restoration is considered among the most affordable and effective practices to address ecosystem and biodiversity loss and mitigate the impacts of human‐induced global change. Soils are intrinsically complex systems that mediate and regulate multiple processes and functions vital for forest ecosystem restoration. Although monitoring soil attributes are critical for evaluating the success of forest restoration projects, research, and development of soil function indicators are still limited. Here, we have reviewed the most commonly reported soil indicators in forest restoration research and their recovery trajectory on a global scale. We also identified and discussed less frequently used indicators that have the potential for monitoring ecosystem recovery. We found that soil indicators have considerably increased in the literature. However, research is regionally concentrated, and a significant proportion of publications neither considered reference ecosystems (41%) nor provided basic information about soil types (<21%). The most reported indicator types were chemical (76%) (e.g., soil carbon, nitrogen, and pH). A significant proportion of the studies (46%) performed long‐term evaluations (>15 years) of indicators. The majority of the indicators tended to resemble the levels of the reference ecosystem in the long term, with a few exceptions (e.g., water content and bulk density). We identified several less used but more integrative indicators with great potential for monitoring forest ecosystem recovery (e.g., aggregate stability, oxidizable carbon, soil respiration, and enzyme activity). Our results emphasize the need to effectively develop standardized soil health indicators to monitor ecosystem recovery under different conditions and expand their use in underrepresented regions.

Xác định một số chỉ số thực vật đặc trưng cho hệ sinh thái rừng tại Khu Bảo tồn thiên nhiên Kon Chư Răng bằng dữ liệu ảnh UAV đa phổ

Vegetation indicators based on remote sensing imaging material is an important criterion in assessing the health, structure and stability of vegetation. In remote sensing images, images obtained from unmanned aerial vehicles (UAVs) have many advantages, such as high resolution, proactive flight time, and minimizing atmospheric impacts, which are important sources of material in assessing the structure of forest vegetation. In particular, the development of UAV-mounted cameras is improving, enhancing the spectral ranges so that researchers can identify a variety of plant indicators. In this study, the Phantom 4 Multispectral UAV was used with 6 independent cameras attached, including 5 monochrome wave ranges, including blue (Rb): 450±16 nm, green (Rg): 560±16 nm, red (Rr): 650±16 nm, red edge (Rre): 730±16 nm, and near-infrared (Rnir): 840±26 nm, which allowed us to identify most vegetation indicators in the forest area. The results analysed 5 types of vegetation indicators, including NDVI, GNDVI, SAVI, EVI and GCI, for forests in the study area. Indicators indicate that the forest vegetation here is stable, the canopy layer has high coverage, belongs to medium and rich forest types in the Central Highlands region. In addition, analysis of the correlation between vegetation index forms at 30 points in the study area has shown that the image obtained from the UAV has great advantages when applied to the identification of plant indicators, with high similarity, limiting the influence from the atmosphere (the correlation coefficient reaches ≥ 0.74). This is an important basis for expanding the application of UAVs in forest ecology research, identifying their structure and fluctuations over periods, as the basis for the planning and conservation and sustainable development of forest resources.

Puistu ruumilise struktuuri arvutuslik kirjeldamine

Abstract As the focus in forestry is moving from timber production to prioritized economic benefits and better integration of ecological-social functions, practical forest management is shifting towards promoting diverse stand structures. Promoting stand structural heterogeneity requires accurate and profound evaluations of spatial stand structure that are generally not provided during conventional forest inventories. In this paper, different indices describing the heterogeneity of the stand and the spatial arrangement of trees, including their size, condition and species were assessed. Indices were applied to the inventory data collected from the Estonian Network of Forest Research Plots. The results show that the studied structural indices are useful in assessment of Estonian forest stands. The practical importance of structural indices will increase in future as there will be a need for methods for characterizing forest stand structural diversity at a large scale, for example, derived from high-resolution remote sensing data.

A novel application of artificial neural network for classifying agarwood essential oil quality

<p><span lang="EN-US">This work studies the agarwood oil classification into high and low quality by using two different techniques. Initially, the Forest Research Institute Malaysia (FRIM) and Universiti Malaysia Pahang (UMP) are where the sample preparation and compound extraction of agarwood oil is collected. The data collections were done from the previous researcher consists of 96 samples from seven significant agarwood oil compounds. The artificial neural network (ANN) and the proposed stepwise regression technique were used in this study. The stepwise regression was done the feature selection and successfully reduced agarwood oil compounds from seven to four. Then, the ANN technique was used to classify agarwood oil into high and low using input from seven and four compounds separately. The performance of ANN with different inputs is compared (ANN with seven inputs compared with ANN with four inputs). All the experimental work was performed using the MATLAB R2017b using the “patternet” implemented Levenberg Marquardt algorithm and ten hidden neurons. It was found that the ANN technique using seven compounds obtained the best performance according to high accuracy and lower mean square error (MSE) value. Finally, 1 hidden neuron in ANN with seven inputs selected as the best neuron for grading the agarwood oil compounds.</span></p>

Clustering Residents' Intention and Behavior Toward Forest Rehabilitation Initiative: A Case Study in the Upstream of Central Java, Indonesia

The success of forest rehabilitation initiatives depends on community engagement; thus, it is important to understand community opinions toward forest rehabilitation initiatives. However, the available literature is sparse, as most research focuses on forest rehabilitation research, frequently only on planting performance. We scrutinized residents' opinions of the forest rehabilitation initiative using the extended Theory of Planned Behavior framework variables, i.e., behavior (B), behavioral intention (BI), attitude toward behavior (ATB), perceived behavioral control (PBC), subjective norm (SN), moral norm (MN), perceived risk (PR), and self-identity (SI). Those factors were used to cluster residents into various groups using the k-means clustering method. 307 completed questionnaires were obtained. We found that residents were clustered into two distinctive groups: active supporters (AS) and passive supporters (PS). PS was dominant in the community (61.9%). They were characterized by less agreement in perceiving the adverse impacts of forest degradation, less intent and engagement in forest rehabilitation programs. In contrast, AS was more receptive to forest rehabilitation initiatives. These results confirm that residents are heterogeneous in opinions and interest in forest rehabilitation initiatives. Therefore, forest managers should design effective policies and alternative approaches to ensure the success of forest rehabilitation programs based on those distinctive groups.

CURLY BIRCH: SOME RESEARCH TAKEAWAYS AND PROSPECTS

The article describes the most important and interesting curly birch research results obtained by staff of the Forest Research Institute KarRC RAS over the institute’s more than half-century history. Quantitative indicators of the dynamics of major publications (monographs, articles in Russian and foreign journals, articles in collected volumes, textbooks) and of intellectual property (patents, know-how, databases) produced by scientists working at the Institute are reported. Their analysis shows that interest in this unique member of the forest flora is great and unfailing, as evidenced by the growing number of recent publications. We emphasize that long-term studies in the field and in the laboratory have produced extensive scientific material, substantially enriching our knowledge of the traits and properties of curly birch, its distinctive features. We indicate the research areas of applied as well as theoretical nature where one can potentially expect to obtain the most interesting results providing a deeper insight into the biological nature of curly birch and which, as the authors believe, will very soon help discover adequate approaches to preservation of the plant’s gene pool and to its extended reproduction in the long run.

Insect Pollinator’s Role in Fruit Setting of Prosopis cineraria (L.) Druce

Insect Pollinator’s Role in Fruit Setting of Prosopis cineraria (L.) Druce

Circular Economy Role in Industry and Environmental Sustainability: Qualitative Content Analysis Approach

Our research employs the qualitative research approach, and the outcome of our investigation is a hypothesis based on the findings of prior studies. We conducted an analysis starting from the influence of forests on various sectors and their interrelationships. We will investigate forest research systems and the principle of the circular economy. Naturally, forests and the circular economy are closely associated with industrial expansion. We identified four main topics in our initial research to understand the future potential benefits of a circular economy: Forests, Industry and Environmental Sustainability, Circular Economy, and pollution. Each subject is developable based on our study of thousands of research articles discovered using direct scientific search, emerald, and Google Scholar. Forests play a role as a supporter and an indicator of the success of sustainable economic development in industrial revolution 4 and circular economics. Industry and environmental sustainability are at the center of the concept of circular economics. Circular financial play a significant role in addressing ecological improvements—pollution results from industrial activities that threaten the environment and must be recycled or minimized.

A comparison of sampling methods and temporal patterns of arthropod abundance and diversity in a mature, temperate, Oak woodland

Arthropods underpin fundamental ecological processes such as herbivory, pollination and nutrient cycling, and are often responsive to subtle changes in environmental conditions. Thus, changes in their abundance and phenology may be crucial indicators of system-wide responses to climate change.The new Birmingham Institute for Forest Research (BIFoR) Free Air Carbon Dioxide Enrichment (FACE) facility provides a unique opportunity assess arthropod diversity and abundance in mature deciduous forest and the effect of sampling method and seasonality. This is an essential first step before attempting to measure the potential impacts of climate change, such as elevated CO2, on arthropod populations. Two fundamental criteria are: i) diverse sampling methods in order to effectively assess diversity and in particular, differences between structural layers of the woodland system, e.g., ground, sub-canopy and canopy layers, ii) a temporal resolution that can identify seasonal patterns of change (phenology). This paper sets out the methodological approaches employed to achieve these objectives.A total of 22,568 invertebrates from 108 families were sampled across 12 months of continuous sampling using a range of techniques from forest floor to canopy. Diptera were the most abundant order sampled and had the greatest number of families represented (45). Phenology patterns generally followed the anticipated seasonal cycle, with increasing abundance and diversity from spring to summer. Temperature was the best environmental predictor of abundance within Malaise and pitfall traps. Precipitation was not correlated with any monthly patterns of trap data. Yellow pan traps collected more arthropods than white or blue traps. Canopy beating yielded a greater diversity than that in the understory samples.These data provide an important baseline from which to assess any future impacts of eCO2 over the 10-year BIFoR FACE experiment, and highlight the importance of employing diverse sampling methods, temporal replication and measuring environmental factors over appropriate timescales.

Measuring Distances and Areas under Forest Canopy Conditions—A Comparison of Handheld Mobile Laser Scanner and Handheld Global Navigation Satellite System

Measuring distances and areas under forest canopy conditions is often required for a broad range of forest research and management-related activities. While modern technologies, such as handheld mobile laser scanning (MLS), made possible the tridimensional representation of forests with great accuracy, the practical application is still limited by its high costs and challenging data processing. The handheld Global Navigation Satellite System (GNSS) represents the classical alternative, determining the distances and areas based on point coordinates. In this study, we aimed to assess the accuracy of a handheld GNSS, relative to the handheld MLS, in measuring distances and areas under forest canopy conditions. The material consists of 209 ant nests, which were mapped in a mixed-species deciduous forest of North-Eastern Romania. The GNSS- and MLS-based distances among nests were compared using the Bland–Altman plots. The differences in size and shape of the areas described by the nests were analyzed using (i) the shape compactness and (ii) the form factor of the convex polygons. In general, the GNSS-based distances were shorter compared with those based on MLS. However, for most cases, the intervals of agreement between the two instruments were within the limits of GNSS accuracy (i.e., ±10 m). The largest mean differences occurred when nests were in dense canopy conditions and on rugged terrain. The GNSS-based area of the convex polygons was smaller in most cases, but no significant correlation between the size of the area and the size of the relative difference was found. Furthermore, both the shape compactness and the form factor of the polygons were also smaller for the GNSS-based method compared with the MLS-based method, with differences up to 10%. In conclusion, measurements recorded by GNSS were less accurate, and under certain forest conditions (dense canopies, rugged terrain), large systematic errors can occur and therefore limit its use.

Visual Aesthetic Quality Assessment of Urban Forests: A Conceptual Framework

Visual aesthetic quality is the visual pleasure level that attracts people and makes them prefer certain areas. Visual aesthetic quality is valued and considered for urban forests but remains challenging. This could be due to a lack of understanding of visual aesthetic quality assessment variables based on visual aesthetic theories. This study supports an integrated conceptual framework based on the result of a systematic literature review study to describe and measure aesthetics that incorporates objective and subjective factors through urban forest visual character and urban forest visual quality. The results include defining and understanding a description of visual aesthetic factors and variables as well as a thorough explanation of visual aesthetic theories to comprehend how to assess the visual aesthetic quality of urban forests. This study agrees with and supports the visual aesthetic theoretical framework, and we believe that due to our shared evolutionary history, humans have a standard set of urban forest visual aesthetic features with preferences that change according to cultural and personal variances. Furthermore, this research provides a foundation of visual aesthetic variables of urban forests that will assist urban forest researchers, urban forest managers, and decision-makers in managing and protecting the visual aesthetics of urban forests.

Warming delays but grazing advances leaf senescence of five plant species in an alpine meadow

Leaf senescence is the final stage in the life cycle of leaves and is critical to plants' fitness as well as to ecosystem carbon and nutrient cycling. To date, most understanding about the responses of leaf senescence to environmental changes has derived from research in forests, but the topic has been relatively neglected, especially under grazing conditions, in natural grasslands. We conducted a 3-year manipulative asymmetric warming with moderate grazing experiment to explore the responses of leaf senescence of five main species in an alpine meadow on the Qinghai-Tibetan Plateau. We found that warming prolonged leaf longevity through earlier leaf-out and later leaf senescence, and grazing prolonged it through a greater advance in leaf-out than first leaf coloration for all plants. Warming did not affect leaf nitrogen (N) content or N resorption efficiency (NRE), but grazing increased N content in coloring leaves for P. anserine and P. nivea and decreased NRE for K. humilis, P. anserine under no-warming, and for P. nivea under warming. The interactive effects of warming and grazing on leaf phenology and leaf traits depended on species identity and year. There were positive relationships between leaf-out and leaf senescence mainly derived from grazing, and positive relationships between NRE from old leaves and leaf senescence for three out of five plant species. Therefore, our results indicated that earlier leaf-out could result in earlier leaf senescence only under grazing, but depending on plant species. Delayed leaf coloring increased NRE from old leaves for some plant species measured under warming and grazing. Our results suggested that alpine plants may develop strategies to adapt to warming and grazing to assimilate more carbon through prolonged leaf longevity rather than increased NRE through earlier leaf coloring in the alpine meadow.

Land Use and Land Cover in Tropical Forest: Global Research

Tropical ecosystems play an important role in the environment. They provide multiple ecosystem services, such as carbon capture and sequestration, food supply, and climate regulation. Studying land use and land cover change makes it possible to understand the land’s alterations associated with deforestation, degradation, erosion, soil desertification, and biodiversity loss. The objective of this study is to evaluate the different approaches to land use and land cover research in tropical forests based on the evolutionary and qualitative analysis of the last 44 years of scientific production. The data were collected using the Scopus database and was based on the PRISMA methodology’s four phases: (i) identification, (ii) screening, (iii) eligibility, and (iv) included. The results showed a significant increase in the study of land use and land cover consolidated in 4557 articles, with contributions from 74 countries, revealing 14 themes and seven lines of research. Core research areas such as biodiversity, land use, and conservation exist due to the ongoing interest in the value of tropical forests and their response to climate change. The present research allowed us to consider future study topics such as the relationship between sustainable development goals and land use and cover in tropical forests, as well as the evaluation of the environmental impact of economic activities in forests.

Cross-cutting research themes for future mangrove forest research

Cross-cutting research themes for future mangrove forest research