ALBERT

Description: Vitality form is a term that describes the style with which motor actions are performed (e.g., rude, gentle, etc.). They represent one characterizing element of conscious and unconscious bodily communication. Despite their importance in interpersonal behavior, vitality forms have been, until now, virtually neglected in neuroscience. Here, using the functional...

Description: Marchi M, Ducci F SOME REFINEMENTS ON SPECIES DISTRIBUTION MODELS USING TREE-LEVEL NATIONAL FOREST INVENTORIES FOR SUPPORTING FOREST MANAGEMENT AND MARGINAL FOREST POPULATION DETECTION Abstract : Spatial modelling is a fundamental tool to support forest management strategies. National Forest Inventories (NFIs) provide extensive and detailed data for spatial analysis. In this study, the most recent Italian NFI (INFC2005) was used to evaluate possible refinements on species distribution model (SDM) techniques and to derive the future scenarios for two target species (Fagus sylvatica L. and Abies alba Mill.) sharing a similar ecological environment and geographic range. A weighted SDM and a provenance distribution model (PDM) were tested, based on tree-level selection of NFI plots using species basal area as a filter. Two climate projections were analysed for 2050s according to the IPCC 5th Assessment Report (AR5). The results were evaluated as possible guidelines for management of the Italian region of the EUFGIS network, where many marginal forest populations (MaPs) are currently included as genetic conservation units (GCUs). The uncertainty of coordinates of inventory points did not affect the results of SDM. No statistical differences were found when comparing the niche realization for the two model species (ANOVA p〉0.05) mainly due to spatial autocorrelation between the environmental predictors. Based on the classic SDM evaluation method (True Skill Statistic - TSS) little improvements in predictions were observed when weighting each presence/absence records, possibly due to the lack of adequate ancillary data but also to the evaluation method. A higher accuracy of predictions (TSS〉0.85) was obtained when different “provenances” were modelled separately, due to the reduction in the “background noise”. We showed that for classical SDM, the prevalence of certain ecological features of some locations may drive algorithms to produce coarse averaged predictions. Provenance distribution modelling may represent a valuable step forward in spatial analysis, particularly for the detection of marginal peripheral populations. The exact spatial co-ordinates of plots and additional information on site quality (e.g., stand age, site index, etc.) in NFI data could greatly help in better weighting presence/absence data and properly test the new evaluation methods. Keywords : INFC2005, European Beech, Silver Fir, Modelling Uncertainties, Provenance Modelling, Climate Change, Mediterranean Area iForest 11 (2): 291-299 (2018) - doi: 10.3832/ifor2441-011 http://iforest.sisef.org/contents/?id=ifor2441-011

Description: Ferrara C, Marchi M, Fares S, Salvati L SAMPLING STRATEGIES FOR HIGH QUALITY TIME-SERIES OF CLIMATIC VARIABLES IN FOREST RESOURCE ASSESSMENT Abstract : Many ecological studies require long-term time series of high quality. Missing data may represent a serious problem since they can affect the reliability of measured variables in specific locations. To which extent and according to which methodology a gap in time series should be filled is a major research challenge. In this study, the time-series of meteorological data relative to 13 monitoring sites from the ICP-Forest network in Italy were analysed with the aim to define the minimum number of site-specific observations, which can be considered adequate for further analysis on forest resource management. Three main climatic variables were taken into account in the analysis: air temperature, relative humidity and total precipitation. By using an increasing proportion of available data, descriptive and inferential statistic methods were applied to evaluate the amount of variability along the period of analysis (1998-2013) and associated error of estimation at seasonal level. The relative importance of each factor accounted in our analysis (season, year, variable, plot, sampling proportion) was investigated fitting a Random Forest model on the results of the bootstrapping procedure. Air temperature was the variable with a marked seasonal profile and the easiest to be represented at monthly level on a specific time period. Humidity and precipitation were more stable across the analysed time period. Trends in precipitation showed that a high amount of variability could be detected only when 〉 80% of valid observations were available. Humidity showed an intermediate pattern, with an exponential increase in the amount of explained variability when using an increased proportion of sampled observations. Random Forest Regression models indicated sampling proportion (i.e., number of available observations) as an important factor for trend analysis of relative air humidity and precipitation. We conclude that monthly or seasonal statistics can be proficiently estimated for both air temperature and relative humidity with a proportion of missing values higher than 50%. Conversely, a reliable analysis of intra-seasonal or intra-monthly precipitation variability requires a much higher amount of observations. In the latter case gap filling represents the only feasible solution. Keywords : ICP-Forests, Sampling Representativeness, Missing Data, Forest Monitoring, Climate iForest 10 (4): 739-745 (2017) - doi: 10.3832/ifor2427-010 http://iforest.sisef.org/contents/?id=ifor2427-010

Description: De Dato G, Teani A, Mattioni C, Marchi M, Monteverdi MC, Ducci F DELINEATION OF SEED COLLECTION ZONES BASED ON ENVIRONMENTAL AND GENETIC CHARACTERISTICS FOR QUERCUS SUBER L. IN SARDINIA, ITALY Abstract : The assessment of seed zones or regions of provenance (RoP) to preserve local adaptation of tree species is an effective tool for the correct management of forest reproductive materials. The RoP for a species or sub-species is the area or group of areas subject to sufficiently uniform ecological conditions in which stands or seed sources show similar phenotypic or genetic characters, taking into account altitudinal boundaries where appropriate. However, the delineation of RoPs is commonly based on estimates of intrinsic environmental homogeneity, mainly climate and/or soil characteristics. The integration of genetic data into RoP maps is an important strategy to obtain a sound tool for managing forest reproductive materials. A study on Quercus suber (cork oak) in Sardinia (Italy) was carried out with the aim of determining ecological regions of provenance, investigating the genetic diversity among populations at the regional scale and identifying possible areas of interest for valorising the available germplasm. Identification of these areas was performed by Reserve Selection Analysis, which allows to identify priority areas by assessing the minimum number of sites required to include all the genetic diversity estimated by genetic analysis. Four spatial clusters were obtained based on environmental data: the northern and northern-eastern parts of the island were included in the Northern RoP; the second RoP covered the western part; and the third RoP enclosed the south-eastern region. The last group was distributed on the central part of the island (Central RoP) and includes the higher elevations. The sampled populations showed a low differentiation among populations and low diversity. According to the Reserve Selection Analysis, four conservation priority areas were identified. These indications can be useful at the local level because these sites can be proposed as stands for seed collection for future plantations. Keywords : Regions of Provenance, Quercus suber, Seed Collection Zones, Spatial Genetic Structure, Sardinia iForest 11 (5): 651-659 (2018) - doi: 10.3832/ifor2572-011 http://iforest.sisef.org/contents/?id=ifor2572-011

Description: During social interactions, actions and words can be expressed in different ways, for example gently, vigorously or rudely communicating the positive or negative attitude of the agent. These forms of communication are called vitality forms and play a crucial role in social relations. While the neural bases of speech and actions vitality forms have been investigated, there is no information on how we recognize others’ mood/attitude by hearing the sound of their actions. In the present fMRI study we investigated the neural basis of vitality forms while participants heard action sounds in two different conditions: sounds resulting from gentle and rude actions, sounds communicating the same actions without vitality forms (control stimuli). Results showed that hearing action sounds conveying rude and gentle vitality forms respect to the control stimuli produced a specific activation of the dorso-central insula. In addition, hearing both vitality forms action sounds and control stimuli produced the activation of the parieto-frontal circuit typically involved in the observation and the execution of arm actions. In conclusion, our data indicate that, the dorso-central insula is a key region involved in the processing of vitality forms regardless of the modality by which they are conveyed.