REDD+ is an international mechanism to reduce emissions and/or enhance removals of greenhouse gases from forest related activities, such as deforestation and forest degradation. To be able to receive result-based payment from REDD+, developing countries need to build and submit to UNFCCC a for est reference level (FRL) with the use of historical forest data. Calculation of carbon densities, together with uncertainties is an important step for development of FRL. In this work, data of 2,098 primary sample plots collected under Cycle IV of the National Forest Inventory, monitoring and assessment programme were veried, corrected and standadized. Based on a new method for screening data and newly developed country-specic allometric equations, carbon densities and their uncertainties were calcualted for each forest type per agro-ecological regions. The results of this work are recommended to be utilized to develop national FRL for Vietnam. REDD+ is an international mechanism to reduce emissions and/or enhance removals of greenhouse

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Since 2012, the town of Komono in Mie Prefecture, Japan, has been planning to build an energy circulation system for a sustainable society utilizing forest products or woody biomass. Today, it is necessary to evaluate the current forest conditions in the town of Komono and determine a utilization method for its forest resources. The purpose of this study is to evaluate the current forest conditions in the town of Komono through the lens of forest functions, in other words, services provided by the forests that are highly valued by the public; and to review a forest zoning system method for an effective and sustainable use of the local forest resources. The evaluation standards use data, such as forest structure and management records, as a factor in the evaluation. The result showed that southern areas of the town of Komono had lower evaluation scores compared to the northern and central areas, when the comparison is based on functions of water conservation and mountainous disaster prevention. These results also reveal that the southern areas should be administered preferentially when carrying out forest management activities. Based on the evaluation results and forest zoning system in Mie Prefecture, the forests in the town of Komono were categorized into four new specialized categories which correspond to the forest functions. The study concludes that although there are issues associated with the use of the new approach developed for this study, the methodology is sound, as it can easily be used to produce the desired results.

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This paper presents the development and demonstration of an approach for incorporating decisionsconcerning forest management within the framework of a TIMES energy system model. The presented model explicitly incorporates a number of long-term applicable forest harvest trajectories, thereby endogenously linking decisions concerning harvest levels with the development of the energy system. The operation of the model is demonstrated by evaluating the optimal long-term harvesting level of Swedish forests for the development of the bioenergy and forest industry sectors. The experimental results suggest that in the short term (between 2010 and 2035), an increased national forest harvest level would be benecial for the joint development of the two sectors. Such a short-term increase in harvest levels of forest biomass sources would ensure an adequate and reliable supply of biomass sources for the expansion of the two sectors. However, in the long term (between 2070 and 2100),the endogenously computed forest harvest level stabilized at a reference harvest level corresponding to a continuation of the current trend in forest harvest levels. While the emphasis of this paper is on the methodological development of the model, the experimental results highlights the importance of considering cross-sectorial implications when assessing the future developments of the bioenergy and forest industrial sectors. This paper presents the development and demonstration of an approach for incorporating decisions

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This study aimed to compare three methods for developing site index prediction model for specific species for a given site using environmental factors as explanatory variables. The following methods were compared in this study: (1) guide curve based method, (2) difference equation based method, and (3) combined site index prediction and height growth curve models method. The site index models were parameterized by the three methods with a permanent plot data and then evaluated for accuracy and practicability in model prediction using the stem analysis data. Root mean squared error and Spearman's rank correlation coefficient were used as statistics representing model accuracy and practicability; values obtained for the model derived from combined method were 4.468 and 0.754, respectively, which indicated that it was the best among the three models.

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Tourism in forested landscape is one of the cultural ecosystem services with a continuous increase in demand by the public. Its importance has been recognized through recreational activities in forested landscapes closer to large urban centers with high population density. In this paper, we focus on visual quality values of forest sites as one of the ecosystem benefits in a forested landscape, and seek an optimal trail routing for recreational management based on visual quality values. We assume that tourists will visit sites in order to maximize the sum of visual quality values of the sites on their routing. We formulate the problem within the framework of the travel salesman problem (TSP), using an agroforestry site in Southern Portugal. Our computational experiments showed that TSP can be applied to search for optimal recreational route in a forested landscape with forest stands showing diverse visual quality levels.

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