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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 study of afforestation is crucial to monitor land transformations and represents a central topic in sustainable development procedures, in terms of climate change, ecosystem services monitoring, and planning policies activities. Although surveying afforestation is important, the assessment of the growing forests is difficult, since land cover has different durations depending on the species. In this context, remote sensing can be a valid instrument to evaluate the afforestation process. Nevertheless, while a vast literature on forest disturbance exists, only a few studies focus on afforestation and almost none directly exploits remote sensing data. This study aims to automatically classify non-forest, afforestation, and forest areas using remote sensing data. To this purpose, we constructed a reference dataset of 61 polygons that suffered a change from non-forest to forest in the period 1988-2020. The reference data were constructed with the Land Use Inventory of Italy and through photointerpretation of orthophotos (1988-2012, spatial resolution 50 × 50 cm) and very high-resolution images (2012-2020, spatial resolution 30 × 30 cm). Using Landsat Best Available Pixel composites time-series (1984-2020) we calculated 52 temporal predictors: four temporal metrics (median, standard deviation, Pearson’s correlation coefficient R, and slope) calculated for 13 different bands (the six Landsat spectral bands, three Spectral Vegetation Indices, and four Tasseled Cap Indices). To verify the possibility of distinguishing afforestation from non-forest and forest, given the differences between them can be minimal, we tested four different models aiming at classifying the following categories: (i) non-forest/afforestation, (ii) afforestation/forest, (iii) non-forest/forest and (iv) non-forest/afforestation/forest. Temporal predictors were used with random forest which was calibrated using random search, validated using k-fold Cross-Validation Overall Accuracy (OAcv), and further using out-of-bag independent data (OAoob). Results illustrate that the distinction of afforestation/forest reaches the largest OAcv (87%), followed by non-forest/forest (83%), non-forest/afforestation (75%) and non-forest/afforestation/forest (72%). The different OA values confirm that the difference in photosynthetic activity between forest and afforestation can be analysed through remote sensing to distinguish them. Although remote sensing data are currently not exploited to monitor afforestation areas our results suggest it may be a valid support for country-level monitoring and reporting.

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.

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.

Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy). At present, the climate changes issue is perhaps the greatest threat that is affecting people and the environment. Forest ecosystems have a key role in the mitigation of climate change. In this context, the prediction of the evolution and growth dynamics of the forests including carbon and water fluxes, and in relation to forest management has become a primary objective. The present study aims at defining a protocol for data collection and the workflow for using the 3D-CMCC-CNR-FEM model in a small mountain watershed in the Calabria region. Within this work we synergistically integrate data coming from different methods (e.g., LiDAR, eddy covariance and sample area) to predict forest dynamics (growth, carbon and water fluxes). Carbon and water fluxes will be simulated considering also the effects of forest management.

In the last decades, the ecological, economic and social analysis of benefits provided by ecosystem to society has coved a great importance in the scientific international literature. The main studies focuses on three aspects: ecosystem services potential supply, demand and use. The potential supply is defined as the ecosystem biophysical capacity to supply services, while the demand represents the amount of service desired by the society. The third aspect considers the current use of a ecosystem service in order to satisfy the social demand. This study focused on the evaluation of social demand on ecosystem services provided by forests at local level (Calabria region) under the project “ALForLab”. The main objective of the present study is to analyze the stakeholders’ opinions and preferences of forest sector in Calabria Region about relevance of forest ecosystem services and categories of ecosystem services. The study, conducted in four areas (Pollino, Sila, Catena Costiera and Serre Calabre), was structured in three steps: (i) identification and classification of stakeholders (stakeholder analysis); (ii) administration of a questionnaire to the previously identified stakeholders; (iii) statistical analysis of the data collected by questionnaire. Stakeholders’ opinions and preferences were analyzed in order to highlight the differences between study areas and groups of stakeholders. At the end of the stakeholder analysis, 320 stakeholders were identified and contacted, 71 of whom filled in the questionnaire (response rate of 22%). The results show that the two main categories of ecosystem services are the supporting services and regulating services. According to the stakeholders’ opinions the three most important forest ecosystem services are: biodiversity, landscape and hydrogeological protection. Landscape is particularly important because it is strictly linked to the cultural value and social identity of a territory. This survey show that the characteristics and peculiarities of each study area are the main factors that influence the stakeholders’ preferences on single elements of the landscape. In the study areas characterized by a high natural value (Pollino, Sila and Serre Calabre) the stakeholders consider the natural elements of the landscape (forests and water bodies) as the most important, while in the most urbanized study area (Catena Costiera) the anthropic and cultural elements have a key importance. Finally, the stakeholders consider the forest fires, the illegal cuttings and the forest management abandonment the three main important threat factors to forests functionality in Calabria.

In Italy, the value of bioeconomy is 251 billion € and more than 1.7 million of workforce is employed in this sector. The forest-wood chain cover about 15% of total value of bioeconomy. The consultation draft of Italian Bioeconomy Strategy was presented on November 22, 2016. This document identifies three macro-sectors (agrifood, marine bioeconomy, forestry and biobased industry) with the respective objectives and priorities. In addition, some Italian regions are organizing to devise a regional strategy detailing the key points of the EU Bioeconomy Strategy and Italian Bioeconomy Strategy in accordance with local peculiarities. In order to develop a regional strategy for the forest sector it is important to investigate the social demands and needs involving the local stakeholders. The aim of the study is to investigate the stakeholders’ opinions of Calabria Region (Italy) about the priorities of forest-wood chain to include in the future regional bioeconomy strategy. The stakeholders’ opinions were collected through the face-to-face administration of a structured questionnaire to 99 local stakeholders. The respondents assessed the importance of a set of objectives aimed to enhance the forest-wood chain at local level (economic exploitation of wood products; diffusion of forest certification; orientation of production to market demand; coordination of forest-wood-energy chain’s actors; implementation of environmental and cultural forest values; improvement of the level of mechanization in wood processing; improvement of the efficiency of forestry workers). In addition, the respondents assessed the capacity of some specific activities to achieve the above mentioned objectives. The collected data were used to define two strategies aimed to enhance the forest-wood chain in Calabria Region. The results show that for the interviewed stakeholders the main three objectives are: the implementation of environmental and cultural forest values, the improvement of the efficiency of forestry workers, and the diffusion of forest certification. In addition, the stakeholders highlighted the importance of the activities of environmental education for the citizens and the professional training courses for the forest operators. Finally, the diffusion of forest certification is a key issue for the interviewed stakeholders. This issue can be achieved facilitating the access of the certified products to the market and creating a chain-of-custody system for the wood products.

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 Italy, forests cover about one third of the national territory. In recent years, sustainability has been applied to forest management through the introduction of the Sustainable Forest Management (SFM) concept. Since the Rio Conference, several initiatives at international and governmental level aimed to realize the SFM concept by the establishment of a set of principles with general validity. One of the most successful initiatives is the Forest Stewardship Council (FSC), which has developed a system of voluntary certification specific for the forestry sector, as well as 10 principles and 56 criteria for good forest management. The concept of High Conservation Value Forest concept (HCVFs) was defined in 1999 by FSC under Principle 9, and its application requires the identification of six categories of High Conservation Values (HCV). The aim of this study was to define the parameters for the HCVFs Italian forests, A first national mapping for the first level of High Conservation Value was developed focusing on protected areas, threatened and endangered species and the ecosystemic temporal use. Protected areas may constitute the basis of the SFM. This work is the result of data processing and distribution analysis through the intersection of vectorial data of national forests areas in ArcMap, on the basis of available information. Protected forest areas represent 34% of the national forest area. The different categories of protected areas contribute differently to protection, in particular the larger amount of preserved forests (22.96%) falls within Sites of Community Importance (SCI). The analysis of highly protected forest types revealed major differences likely linked to site ecological conditions, which are extremely variable over the country. The HCVF concept is applied in the forest certification field and can be used in sustainable forest management, planning and land use, and policy commitments.