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Forest planning, forest management, and forest policy require updated, reliable, and harmonized spatial datasets. In Italy a national geographic Forest Information System (FIS) designed to store and facilitate the access and analysis of spatial datasets is still missing. Among the different information layers which are useful to start populating a FIS, two are essential for their multiple use in the assessment of forest resources: (i) forest mapping, and (ii) data from Airborne Laser Scanning (ALS). Both layers are not available wall-to-wall for Italy, though different local sources of information potentially useful for their implementation already exist. The objectives of this work were to: (i) review forest maps and ALS data availability in Italy; (ii) develop for the first time a high resolution forest mask of Italy which was validated against the official statistics of the Italian National Forest Inventory; (iii) develop the first mosaic of all the main ALS data available in Italy producing a consistent Canopy Height Model (CHM). An on-line geographic FIS with free access to both layers from (ii) and (iii) was developed for demonstration purposes. The total area of forest and other wooded lands computed from the forest mask was 102.608.82 km2 (34% of the Italian territory), i.e., 1.9% less than the NFI benchmark estimate. This map is currently the best wall-to-wall forest mask available for Italy. We showed that only the 63% of the Italian territory (the 60% of the forest area) is covered by ALS data. These results highlight the urgent need for a national strategy to complete the availability of forest data in Italy.

In the managed beech forests of Central Italy (Molise), the diversity of saproxylic species is potentially under threat by intensive management. To evaluate the impact of forestry on the biodiversity of these ecosystems, we analyzed the relationship between abundance of saproxylic beetles and (i) forest stand exposure and elevation, (ii) deadwood availability (coarse woody debris - CWD - and stumps), (iii) abundance of microhabitats. Four sampling sectors with different altitudes and exposure were identified in a 400-ha study area in the Appenine mountains. Fifteen circular plots (13 m radius) were established in each sector where deadwood and microhabitats were surveyed and saproxylic beetles sampled. We fitted joint species distribution models to quantify the relationship between forest attributes and saproxylic species’ abundance, including the interactions with their family and trophic category. Overall, 2334 specimens belonging to 64 species of saproxylic beetles were collected. Both abundance and species richness were higher in the sectors with high elevation (respectively, 55% and 44%) and South exposure (respectively, 28% and 44%). Average deadwood volumes were low (stumps: 7.6 m3 ha-1; CWD: 0.3 m3 ha-1; snags: 0.4 m3 ha-1), and insect galleries were the most abundant microhabitat (380 records over a total of 434). The most important variables affecting abundance were stump characteristics (model deviance = 81.2), elevation (deviance = 64.7), and CWD characteristics (deviance = 58.0). Our results show that topographical variables and forest structure jointly affect the abundance patterns of saproxylic beetle communities in managed beech forests. These ecological interactions imply that management has different impacts on the saproxylic communities in different topographic conditions. To acknowledge this complexity we advocate for a landscape-level forest management supporting the local beetle diversity maintaining a mosaic of semi-natural forest characteristics in different topographic contexts. The ecological value of the forest landscape will be further enhanced by the application of closer-to-nature management interventions based on deadwood retention, microhabitat creation and tree retention, in line with the guidelines of the new EU Forest Strategy for 2030.

The future dynamics of forest species and ecosystems depend on the effects of climate change and are related to forest management strategies. The expected impacts of climate change are linked to forest growth and productivity. An increase in the length of the growing season and greater productivity are likely as well as shifts in average climatic values and more variable frequencies, intensities, durations and timings of extreme events. The main aim of this work is to assess and describe the climatic requirements for Italian forest tree species. We used 7.272 field observations from Italian National Forest Inventory plots and average annual temperatures and precipitation as interpolated from raster maps with 1 km spatial resolution. On this basis we evaluated the current observed distributions of the 19 most important tree species in Italy with respect to potential climatic limits based on expert knowledge and the available literature. We found that only 46% of the observations fall within the potential joint temperature and precipitation limits as defined by expert knowledge. For precipitation alone, 70% of observations were within the potential limits, and for temperature alone, 80% of observations were within the potential limits. Similarity between current observed and potential limits differ from species-to-species with broadleaves in general more frequently distributed within the potential climatic limits than conifers. We found that ecological requirements and potential information should be revised for some species, particularly for the Pinus genus and more frequently for precipitation. The results of the study are particularly relevant given the threat of climate change effects for Italian forests which are broadly acknowledged to be a biodiversity hotspot. Further investigations should be aimed at modelling the effects of climate changes on Italian forests as a basis for development of mitigation and adaptation forest management strategies.

Several studies have been carried out to investigate soil compaction and rutting after logging vehicle traffic, based on time consuming and punctual field measurements. The objective of this study was to measure soil disturbances with two methods: (i) a new, image-based models derived by a structure-from-motion (SfM) photogrammetry approach; and (ii) a traditional soil sampling (bulk density and shear strength). Two trails were selected in a logging area (central Italy), one trafficked by a forwarder (FT) and one trafficked by a skidder (ST). Data collection was conducted before, during and after timber extraction. Image-based models derived by SfM photogrammetry was used to highlight the differences in the shape and distribution of the disturbances along ST and FT. Results showed that the physical parameters of soil significantly changed due to both FT and ST traffic. Machine passes increased bulk density (111% and 31% for FT and ST, respectively), penetration resistance (29% and 24% for FT and ST, respectively) and shear resistance (14% and 6% for FT and ST, respectively), whereas porosity decreased (46% and 9% for FT and ST, respectively). Significant differences between FT and ST were found when comparing ruts removal and bulges with SfM photogrammetry. After logging, FT clearly showed ruts and bulges, whereas in ST ruts and bulges were not visible, but soil displacement in the direction of extraction was evident and measurable. Nevertheless, although our result shows a larger soil disturbance caused by forwarders than skidders, it is not possible to draw any general conclusions about differences between the two machines. Data about the machine passes, or the wood volumes transported over each trial area were not available; therefore, any general conclusion is misleading. SfM photogrammetry give information not available via traditional methods, thus improving impact assessment.

The most well-known and vast Calabrian pine forests are in the Sila mountain range, southern Italy. In this paper, present-day distribution of Calabrian pine in the Sila district was analyzed and compared with forest maps dating back to 1935 in order to assess the changes in land use. Main ecological and anthropogenic factors affecting Calabrian pine forest distribution were investigated by logistic regression models to identify the most important predictors of Calabrian pine persistence, expansion, and transition over the period 1935-2006. In 2006, the area covered by Calabrian pine forests and mixed Calabrian pine-beech forests was 36 100 ha and 20 221 ha, respectively. Overall, pine forest area increased by 38% between 1935 and 2006. Logistic regression revealed that Calabrian pine distribution in the Sila district was affected by both ecological (bioclimate, soil, and elevation) and anthropogenic factors (management, fire). Based on our results, four different potential dynamics of Calabrian pine stands are discussed in the perspective of the sustainable management and conservation of this important mountain forest habitat.

Dead wood and stand structural parameters were sampled in eleven countries using standardized methods at about 90 intensive forest monitoring sites across large parts of Europe. Besides descriptions and correlation analyses of dead wood and stand structure parameters, a joint evaluation of both fields was performed by principal component analysis (PCA). The extracted principal components were subsequently regressed against important numerical and categorical site-related parameters like soil pH, altitude, or forest type. Dead wood volumes varied largely across plots, however, 77 percent of them had volumes below 25 cubic meter per hectare. While all fractions of dead wood - except cut stumps - reveal high intercorrelation, different aspects of stand structure varied more independently. Clark-Evans index, number of tree species and standard deviation of tree trunk diameters revealed as most self-contained. The 1st PCA axis covered 46 percent of the total variance and was mostly loaded by total dead wood volume denoting it as the feature differentiating forests most. The 2nd axis was primarily loaded by tree species diversity together with stem density and the Clark-Evans index. On the 3rd axis diameter differentiation of trees together with the volume of cut stumps prevailed, while the 4th was mainly related to the decay class of woody debris. Bivariate ex post analyses revealed country as a significant predictor of all PCA axes, underlining national forest legislations and management rules as crucial for all investigated structural features of forests. Forest type was related only to the 3rd and 2nd axis. Only the 3rd axis revealed significant relationships with some ecological site factors (age, number of tree layers, latitude, altitude). The outcome underlines the significance of nationally enacted forest legislations for both important structural and biodiversity-relevant features of forest ecosystems and encourages similar approaches with data from national forest inventories or monitoring systems.

The purpose of this study was to investigate the response of the soil microarthropod community to wildfire in forest ecosystems. The edaphic microarthropod communities of pine stands burned in 2001, in 2009, both in 2001 and in 2009, in 2012 were compared to an area never burned. Sampling was conducted in the spring and autumn of 2011 and 2012 in the areas burned in 2001, in 2009 and those never burned, while in the area burned in 2012, soil samples were collected in March (10 days after fire), June and September. The abundance and biodiversity of the microarthropod community were assessed. A multitemporal analysis was also carried out to assess the effect of fire on soil microarthropod abundance 5 months, 2-3 years and 10-11 years after fire. The results showed that the abundance of edaphic microarthropod communities decreased dramatically in areas burned twice, but also in areas burned once in 2009 and five months after the fire in the area burned in 2012. Different taxonomic groups did not seem to respond to fire in the same way, some taxa being more sensitive than others. Pseudoscorpionida decreased in both the short- and the long-term, while Diplopoda, Thysanoptera and Symphyla showed a reduction in the intermediate- and long-term. In the short-term, Diptera and Coleoptera larvae appeared to be the most influenced taxonomic groups. Our study shows that biomonitoring is a valuable tool to investigate the reaction of forest ecosystems to fire, and that edaphic microarthropods can provide interesting answers about the direct and indirect effects of fire on soil.

In the Apennine mountains most pure silver fir stands originated from planting and were managed according to the traditional model, with clear cutting and a 100 year rotation. In the last decades in most of these stands there has been a change towards nature conservation and active management has stopped. The aim of this work was (1) to analyse stand dynamics and spontaneous regeneration processes that are taking place with increasing age in even aged fir plantations, and (2) to discuss if these processes can be useful for defining management approaches answering biodiversity conservation aims. The study was carried out in the Vallombrosa Forest (Central Italy). The relationship between fir stand age and structural parameters was analyzed using inventory data. Gap dynamics were monitored between 1983 and 2007 on the basis of remote sensing data. Based on a field survey of a sample of gaps, species composition and density of seedlings and saplings were analysed in relation to gap size and within-gap position. From 1983 to 2007 the number of gaps and their total area increased, following increasing stand age. Significant relationships (p < 0.01) were found between fir stand age and number of trees per hectare (r = -0.30), quadratic mean diameter (r = 0.65) and volume per hectare (r = 0.50). In the fir stands with lower stand density, a layer of trees with DBH < 15 cm had filled in the structure: fifteen different broadleaf species were recorded in this layer, usually mixed with fir. Gap size had an influence on presence of young firs (seedlings and fir < 0.5 m), which were significantly more numerous in gaps < 200 m2, but it had relatively limited influence on species diversity. Within-gap position did not influence regeneration density. Results indicate that a possible management option for gradually transforming even aged fir plantations in the Apennines into mixed, naturally regenerating systems, could be based on the creation of small gaps (< 200 m2) in the canopy cover, simulating the natural dynamics that are taking place in ageing fir plantations.

In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment of the damage in terms of volume is important and can be done by ground sampling, which is notably expensive and time-consuming, or by manual interpretation and analyses of aerial images. This latter manual method also requires an expert operator investing time to manually detect damaged trees and apply relation functions between measures and volume which are also error-prone. In the proposed method RGB images with 0.2 m ground sample distance are analysed using an adaptive template matching method. Ten images corresponding to ten separate study areas are tested. A 13x13 pixels kernel with a simplified linear-feature representation of a cylinder is applied at different rotation angles (from 0° to 170° at 10° steps). The higher values of the normalized cross-correlation (NCC) of all angles are recorded for each pixel for each image. Several features are tested: percentiles (75, 80, 85, 90, 95, 99, max) and sum and number of pixels with NCC above 0.55. Three regression methods are tested, multiple regression (mr), support vector machines (svm) with linear kernel and random forests. The first two methods gave the best results. The ground-truth was acquired by ground sampling, and total volumes of damaged trees are estimated for each of the 10 areas. Damaged volumes in the ten areas range from ~1.8 x102 m3 to ~1.2x104 m3. Regression results show that smv regression method over the sum gives an R-squared of 0.92, a mean of absolute errors (MAE) of 255 m3 and a relative absolute error (RAE) of 34% using leave-one-out cross validation from the 10 observations. These initial results are encouraging and support further investigations on more finely tuned kernel template metrics to define an unsupervised image analysis process to automatically assess forest damage from windthrow.

The Forest Biodiversity Test phase Assessments (ForestBIOTA) project was carried out on 97 intensive monitoring plots located in 12 European countries. It aimed at the development and test implementation of monitoring methods for forest biodiversity across Europe. More specifically it covered the fields of (i) stand structure, (ii) forest deadwood, (iii) ground vegetation and (iv) epiphytic lichens. A forest type classification was applied in addition. The project took into account policy requirements stated by a number of political processes and institutions including the Convention on Biological Diversity, the Ministerial Conference for the Protection of Forests in Europe, the Environment for Europe Ministerial Conference and the European Union. Whereas detailed results of the assessments are presented in additional publications (Stofer et al. 2007, in prep, Meyer et al. 2007, submitted), this paper draws a number of general conclusions and gives recommendations for future development of forest biodiversity monitoring in Europe.