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Knowledge of forest biomass is an essential parameter for managing the forest in a sustainable way, as forest biomass data availability and reliability are necessary for forestry and forest planning, but also for the carbon market as well as to support the local economy in the mountain and inner areas. However, the accurate quantification of the above-ground biomass (AGB) is still a challenge both at the local and global levels. The use of remote sensing techniques with Unmanned Aerial Vehicle (UAV) platforms can be an excellent trade-off between resolution, scale, and frequency data of AGB estimation. In this study, we evaluated the combined use of RGB images from UAV, LiDAR data and ground truth data to estimate AGB in a forested watershed in Southern Italy. A low-cost AGB estimation method was adopted using a commercial fixed-wing drone equipped with an RGB camera, combined with the canopy information derived by LiDAR and validated by field data. Two modelling methods (stepwise regression, SR and random forest, RF) were used to estimate forest AGB. The output was an accurate maps of AGB for each model. The RF model showed better accuracy than the Steplm model, and the R2 increased from 0.81 to 0.86, and the RMSE and MAE values were decreased from 45.5 to 31.7 Mg ha-1 and from 34.2 to 22.1 Mg ha-1 respectively. We demonstrated that by increasing the computing efficiency through a machine learning algorithm, readily available images can be used to obtain satisfactory results, as proven by the accuracy of the Random forest above biomass estimation model.

The motivations for the National Research Project on the Short Wood Supply Chain stem from the recognition of the great importance of the wood-based bio-economy for the future carbon-free society. In addition to the essential ecological benefits provided by forests, natural wood resources are expected to play a significant role due to the increasing wood demand for structural and non-structural uses. However, in Italy most industrial wood products are made from imported timber, which results in poor attention to local forestry, loss of traditional silvicultural know-how and reduced forest employment in most mountain areas. The project specifically aims: (i) to assess the feasability and sustainability of wood short supply chains; (ii) to promote new models of environmental certification and energy efficiency analysis; (iii) to create innovative products for bio-building (CrossLam, laminated timber, wood panels) using wood assortments from sustainable forest management in Italy; (iv) to characterise the functionality of wood products (with attention paid to architectural issues), predict wood degradation rate and assess conservation methods. Attention is specifically devoted to most common forest species in Italy, such as beech, pines, chestnut, deciduous oaks and poplar and to test thermal and surface treatments with natural substances and nano-materials.

The most significant European forest-related strategies highlight the importance of multifunctional forests for human wellbeing, due to the provision of a wide range of goods and services. However, managing competing aims, such as timber production, economic drivers and biodiversity conservation is often difficult for practitioners. In order to assess the loss and gain of ecosystem services caused by forestry, trade-off evaluation has been increasingly used to aid decision-making. In this study, four silvicultural scenarios are simulated using the Marteloscope approach to evaluate the trade-offs between biodiversity conservation and timber production. Tree-related Microhabitats (TreMs) are used as a proxy to evaluate forest habitat value, while timber production is assessed by the number of harvested trees, biomass removal and economic income. This study takes an innovative approach by investigating TreMs using the Marteloscope in mixed Mediterranean forest. The main findings from this paper confirm that tree-related microhabitats can be considered ecological indicators effective in identifying important habitat trees, to assess forest habitat value and support tree marking for thinning operations and management.

In recent decades, the conservation of biodiversity has become one of the main areas under consideration in managing forests in an ecologically sustainable way. Forest management practices are primary drivers of diversity and may enhance or decrease forest biodiversity, according to the measures applied (thinning options). We have focused on three beech (Fagus sylvatica L.) forests across a latitudinal gradient in Italy, characterised by different structures resulting from dissimilar management. We tested the short-term effects of differently-based silvicultural intervention vs. stands where no silvicultural practices were applied on biodiversity indicators and related proxies: deadwood amounts, microhabitat density, floristic richness and life form abundance. In each study area, the occurrence of the above indicators and proxies was evaluated before and after the implementation of crop tree thinning (CTT) and thinning from below (LT) methods, comparing them with control areas where no interventions were performed. After two years, the management options resulted in different responses of the investigated parameters. The CTT increased deadwood amounts in comparison with the LT ones, while stumps increased significantly after the LT thinning. Microhabitats increased significantly where intervention was not undertaken. On the contrary, they remained unaltered after the LT treatments. CTT thinning created favourable conditions for the development of microhabitats and their proliferation in the long term. Two years after the application of the CTT thinning treatment, all forest stands demonstrated a significant increase in their floristic richness and herb layer cover. Significant differences were also found in both the frequency and cover of life forms in relation to silvicultural treatment. These findings provide a better understanding of short-term effects of silvicultural treatment useful for maintaining biodiversity in mountain beech forests.

Forests cover nearly 40% of European land, with different country percentage and patchy distribution. The European forestry sector highlights that forest areas have different ownership: private (by firms, individual, or organizations) and public (State, communities or municipalities). The number of forestry holdings, size of landholding, and ownership types influence and drive forest management, governance and various other socio-economic linked issues. Moreover, forest owners determine management objectives and policies which influence the application of Sustainable Forest Management (SFM) practices. Several tools were developed to promote SFM, including forest certification. Numerous forest certification schemes are present across the world but the Forest Stewardship Council (FSC) and the Programme for the Endorsement of Forest Certification (PEFC) are those prevalent. However, a map of certified forests is lacking, although mapping would be essential to locate the percentage of forest that are certified to be sustainably managed. The study mapped forest certification across 43 European states, according to 499 FSC and 284 PEFC reports and assessed the proportion of certified forest area on public and private land and the rate of increase. This research was carried out collecting information on European certified forest companies/owners and locating geographically their forests at sub-national level (regions, NUTS 2). The database of the Joint COST Action FACESMAP/UNECE/FAO was an important data source. At European level, about six percent of the forest is certified under FSC scheme, while about seven percent under PEFC scheme. As forest certification is a useful tool to manage forests aiming at the integration of economic, ecological and social sustainability, the knowledge of the location and area of certified forest in Europe could be important in motivating decision makers to increase these sustainably managed areas.

Everyone have a carbon footprint. It represents the CO2 emission amount caused by the activities of a person during a specific interval time. The purpose of the study is to calculate CO2 emissions deriving from the VII SISEF Congress activities. The idea is to provide on add a value to the event through the realization of voluntary offsetting actions. These actions are local projects of sustainable forest management and tree plantation in order to improve carbon stock. Specifically, the emissions offset will be realized through direct actions: (1) a plantation of about 50 trees in the parking of STAT department of the University of Molise; (2) implementation of an arboretum in the Apennine flora Garden of Capracotta; and (3) a coppice conversion plan in Monte Vairano (Campobasso), owned by the University of Molise. The methodology foresaw the currently stored carbon baseline calculation and the expected time accumulation for the entire duration of the actions. The STAT Department of the University of Molise will bind its interventions in order to avoid additionality feature and will monitor over time to ensure the effects permanence in carbon storage. The total emissions calculations of Congress amounted to around 12 Mg CO2 and proposed offsetting actions largely exceed that value.

In recent years, several aircraft companies launched awareness campaigns, offering to their passenger the opportunity to known and also calculate their own per-capita CO2 emissions related to the flight they are going to make. Such campaigns permits to the passenger to pay a volunteer contribution in order to compensate their CO2 emissions. In this short communication, some programs undertaken by airline companies are showed. These initiatives are all characterized by a common denominator: the achievement of concrete, proved and verifiable results to compensate the aircraft CO2 emissions. Moreover, also a concrete case is reported as example: it is useful to show which is the per capita CO2 emission for a sample flight in Europe and, quantitatively, the amount of compensation measurements. Finally, this communication highlights on how the estimates of such measurements are usually miscalculated, considering that the capability of forest ecosystems to store CO2 are often underestimated.

he study was performed in two silver-fir forests (Abies alba Mill.) located in Alto Molise, Province of Isernia: Collemeluccio, near Pescolanciano and Abeti Soprani near Capracotta. The aim of this work was to distinguish different types of wood rot on living silver fir individuals by using the Resistograph® (IML-RESI E400), a device that allows to estimate the variation of wood density by measuring the resistance to micro-perforation. The occurrence of different types of wood rot (white rot and brown rot) in living trees was pointed out and discriminated by the device. In the detected deteriorated zones, fungal pathogens and decomposers were isolated and identified, causing either white (Phellinus hartigii, Ganoderma adspersum, Heterobasidion abietinum and Armillaria ostoyae) or brown rot (Fomitopsis pinicola).

The biomass of understory vegetation has an important role in several forest ecosystem processes, though it is not frequently included in forest inventory programs, which are commonly focused on the tree component. The objective of the study is to test a fast procedure for obtaining an accurate estimation of three components of the aboveground understory vegetation: herbaceous, bush, regeneration. For such a purpose a Volume Index has been calculated on the basis of the product between the percent coverage of vegetation and the average height of the three different components of understory vegetation. The index has been quantified in twenty clusters of four squared plots 1 m2 wide; clusters were located in two study areas in the northern part of Molise Region (southeastern Italy). For each plot, the dry biomass has been collected and weighted, and then transformed in carbon stock. This study presents the field protocol and the achieved results in terms of measured aboveground understorey carbon stock in six different forest and pre-forest types (the average carbon stock was 1.19 t C ha-1) and correlation between Volume Index and carbon stock (the Pearson’s correlation index was 0.8 on 309 field observations).

Signatory countries of Kyoto Protocol are engaged in carrying out national inventories to quantify greenhouse gas emission and potentiality of C sinks. Forests represent the terrestrial ecosystem with the highest C sequestration capacity taking up CO2 from the atmosphere and fixing it in vegetal biomass through photosynthesis process; C stocks can be divided in aboveground and belowground ones. In inventorial processes, root biomass is empirically extrapolated from aboveground biomass using a 0.2 factor, which underestimate the real value. Some authors suggest that total underground C allocation can be assessed from the difference between annual respiration rate and litter fall. Belowground biomass can be divided in permanent biomass (structural roots) and temporary one (fine roots). Models allow a valuation of structural roots biomass from stand dendrometrical characteristics. Literature reveals that underground biomass, as fine roots than structural ones, highly varies with local conditions. The development of models that take into account these station parameters and therefore able to reproduce this variability seems to be obligatory to deal with inventory processes with an acceptable precision.

We publish upon authors’ request the following corrigendum to the commentary previously issued on Forest@, volume 8, year 2011, pp. 45-48. - doi: 10.3832/efor0652-008.

The dynamics of the silver fir represent an important topic for researchers across Europe. Following its decline, which occurred in Europe after the last glaciation, the remaining relict areas became a very important laboratory for studying its conservation. The Central Apennine chain, particularly in Molise, represents one unique case where silver fir, Turkey oak and beech can be found within the same forest. This study focused on the forest structure of the Bosco Monteluponi where the closeness with Collemeluccio Man and Biosphere reserve has affected the diffusion of conifer within the forest. Consequently, the forest structure has shifted from even aged to uneven aged. The resulting complex forest structure offers new challenges for forest practitioners in the identification of silvicultural treatments, which identify and maintain the balance among the three species within the same forest. Particular importance was given to the silver fir natural regeneration in order to assess the forest suitability for conifer expansion. Results demonstrated that Monteluponi is strongly suitable for thein situconservation of silver fir and offers a great opportunity for its diffusion. [ABSTRACT FROM AUTHOR]

Forest certification is one of the many tools that have been developed to achieve sustainable forest management. The Forest Stewardship Council (FSC) was the first organization to develop an independent forest certification scheme in early 1990s. FSC standards introduced the concept of high conservation value forests (HCVFs) that identifies forest areas with high conservation values (HCVs) according to six different categories including environmental services, social and cultural values, rare, threatened or endangered species, and ecosystems and habitats. HCVFs are becoming more relevant even beyond forest certification purposes, and the concept is increasingly being adopted and used as a tool for improving forest management operations. This paper represents a preliminary study for the identification and mapping of the main HCVFs in Italy. It is based on existing information and available datasets and identifies some out of six existing HCVs categories. The extent of forest areas identified as HCVFs in Italy varies according to the HCV category taken into consideration. Altogether, the HCVs investigated correspond to about 66% of the Italian forest. This preliminary study on HCVFs in Italy and GIS tools had proved to be a useful support for the identification and analysis of investigated areas for the purposes of both facilitating certification processes and improved management of national forests. [ABSTRACT FROM AUTHOR]

Today wood and nonwood forest resources management meets and often clashes with environment and biological diversity protection. A main problem is to understand relationships between the different roles of forest biodiversity, site, and management parameters. A multivariate statistical analysis has been carried out in order to interpret relationships between some forest biodiversity components and forest inventory data. Several indices of floristic diversity, species abundance, and structural heterogeneity at stand level have been calculated. The different components of forest biodiversity were separated by principal components analysis. Relations between forest biodiversity indices and site and management attributes have been investigated by two multivariate statistical techniques: bivariate correlation analysis and multiple linear regression. Results showed a high correlation between all the investigated components of forest biodiversity and some topographic and/or forest management attributes. Results also gave ancillary information to define sustainable forest management criteria. [ABSTRACT FROM PUBLISHER]