Today, a forest is also understood as a real social actor with multiple-scale influences, capable of significantly conditioning the social, economic, and cultural system of a whole territory. The aim of this paper is to reconstruct and interpret the population’s perception of the silvicultural activities related to traditional use of forest resources of the southwestern Sardinian Marganai State Forest. The “Marganai case” has brought to the attention of the mass media the role of this forest and its silviculture. The research was carried out via semi-structured interviews with the main stakeholders in the area. The qualitative approach in the collection and analysis of the information gathered has allowed us to reconstruct the historical-cultural and social cohesion function that the forest plays in rural communities. The results highlight that the main risks concern the erosion of the cultural forest heritage due to the abandonment of the rural dimension (mainly by the new generations, but not only), with the consequent spread of deep distortions in the perception, interpretation, and necessity of forestry activities and policy.

<p>The practice of coppicing is debated in the literature for the risk factors associated with soil erosion. Although erosion experiments provide useful data for estimating the susceptibility to soil erosion, there are many open questions that cannot be solved in isolated experiments, but which can be assessed by activating a long-term monitoring process. In this way, it is possible to correctly frame the spatial and temporal scale of soil erosion in coppice forests. </p><p>The aim of the work is to evaluate the effectiveness of the use of remote sensing data in combination with field data, for monitoring the evolution of forest stands interested by coppicing in relation to soil erosion. </p><p>We have installed a long-term monitoring network for erosion estimation, while Sentinel-2C satellite data were used for the period 2016-2018. Starting from this dataset, a selection of vegetation indices was calculated and compared to the morphological and topographical parameters of the study area, as well as the above-ground data collected during field activities. Using the Canonical Correspondences Analysis (CCA) the relationships between the matrix of vegetation indices, topographic and vegetational parameters and the respective performances of this protocol have been explored in order to describe the evolution of the forest stands in the study area associated to soil losses.</p>

We have recently been made aware by the Forests Editorial Offices of some errors and omissions in the Introduction Section 1 [...]

Lo strumento "funzione di profilo" rappresenta una evoluzione della dendrometria che, per ora, non ha trovato diffusione nel nostro paese, pochi ricercatori si sono dedicati allo sfruttamento di questo strumento, nella didattica è poco diffuso e nella pratica è sconosciuto. Si è voluto cogliere l'occasione offerta dal progetto EDENSO per documentare una esperienza operativa di impiego di tale strumento, mostrando tutto il percorso di sviluppo ed utilizzazione. A corredo di tale percorso sono stati presentati sia una metodologia atta ad affrontare il problema in un contesto non ancora studiato, sia un algoritmo che, sfruttando le stime sul profilo del fusto, consente di effettuare la scelta e la quantificazione degli assortimenti da produrre. Al fine di favorire la diffusione di questo strumento e la possibilità di utilizzare la funzione calcolata per il pino marittimo di 40 anni di Pattada (almeno come esempio) i codici in linguaggio R ed i valori dei parametri stimati sono resi facilmente recuperabili accedendo alla specifica pagina disponibile nel sito di "Nuoro Forestry School":