Clara Tattoni

A GIS decision support system for regional forest management to assess biomass availability for renewable energy production

Currently, the use of a mix of renewable and traditional energy sources is deemed to help in solving increasing energy demands and environmental issues, thus making it particularly important to assess the availability of renewable energy sources. In a heavily forested region, such as the Italian Alps, one of the main renewable energy sources is woody biomass. A reliable evaluation of biomass availability must take into account the local management of forest resources and the ability to reach forest areas, which is related to existing road networks, and the characteristics and morphology of the terrain. We have developed a new methodology to estimate forest biomass availability for energy production in the Alpine area and to support management decisions, combining the morphological features of the mountain landscape with the current capabilities of forest technology. The approach has been implemented in a tool for forest biomass evaluation based on the Free and Open Source Software for Geospatial (FOSS4G) framework and to refine the current estimates made by the local government. The methodology was tested on the forests of Trentino province (Italy), providing an accurate evaluation of biomass availability, which can be effectively used to identify possible locations for biomass power plants and to suggest new forest management guidelines. The methodology, combining GRASS, PostgreSQL and PostGIS, can be applied to a wide area and can also be executed as a new GRASS module. Being open source it is already available for testing and development.

Landscape changes, traditional ecological knowledge and future scenarios in the Alps: A holistic ecological approach.

In recent decades, a dramatic landscape change has occurred in the European alpine region: open areas have been naturally recolonized by forests as traditional agricultural and forest activities were reduced and reorganized. Land use changes (LUC) are generally measured through GIS and photo interpretation techniques, but despite many studies focused on this phenomenon and its effects on biodiversity and on the environment in general, there is a lack of information about the transformation of the human-environment connection. The study of Traditional Ecological Knowledge (TEK), such as the ability to recognize wild plants used as medicine or food, can suggest how this connection evolved through time and generations. This work investigates the relationship between the natural forest cover expansion that influences the loss of open areas and the loss of TEK. Different data sources and approaches were used to address the topic in all its complexity: a mix of questionnaire investigations, historical maps, GIS techniques and modelling were used to analyse past land use changes and predict future scenarios. The study area, Trentino, Italy, is paradigmatic of the alpine situation, and the land use change in the region is well documented by different studies, which were reviewed and compared in this paper. Our findings suggest that open area loss can be used as a good proxy to highlight the present state and to produce future scenarios of Traditional Ecological Knowledge. This could increase awareness of the loss of TEK in other Alpine regions, where data on TEK are lacking, but where environmental trends are comparable.

21 – Understanding Forest Changes to Support Planning: A Fine-Scale Markov Chain Approach

Abstract The abandonment of farming and agriculture is leading to an increase in forest coverage in most European mountain areas. Based on a long series of data (1859–2006), this study presents the development of a spatially explicit fine-scale Markov chain model to predict future changes in forests over a broad area and to assist the management of Paneveggio Nature Park, Italy. The results predict an increase in forest coverage and a reduction in the extent of open habitats, which are a priority for conservation. This protocol can be used for designing long-term management measures focusing on endangered habitats.

Open source evaluation of kilometric indexes of abundance

Abstract Kilometric Abundance Index (KAI) is a common measure used in wildlife studies because it allows a straightforward comparison of species abundance in different sites or at different times. KAI expresses the ratio of the total number of individuals (or of signs of presence) observed along a transect by the total transect length covered at each site. v.transect.kia is a new tool for GRASS GIS, developed for automating the evaluation of KAI, reducing the risk of manual errors especially when handling large datasets. It can also split the transects according to one environmental variable (typically habitat type) and evaluate true 3D transect length. It calculates KAI using a point map of sightings and saves the results in the attribute table, the output can be displayed in any GIS or used for further statistical analysis. The tool has been tested on field data from Northern Italy for mountain hare ( Lepus timidus ), allowing a first wide-area estimate.

Camera trapping surveys of forest mammal communities in the Eastern Arc Mountains reveal generalized habitat and human disturbance responses

Large-bodied mammals are a rich and diversified faunal group in tropical rainforests. However, knowledge on community size and composition, and on species’ distribution and ecology remains often scant and inadequate against their chronic status of threats. We used camera trapping to detect mammals in the forests of the Eastern Arc Mountains (EAM) of Tanzania, a world renowned region for biodiversity comprised by a series of distinct and ancient mountain ranges partially covered in moist montane forest. We conducted surveys from 2003 to 2011 in eight of the 12 mountain blocks in Tanzania, and, through an overall sampling effort of 11,500 camera days, we detected 43 species. We normalized species richness and species’ detection events by effort, and used these metrics to assess the effect of habitat and human disturbance variables. We found that rarefied richness is positively affected by forest area at the block level, and that richness at forest patch level is also affected by forest area as well as surrounding human density (negative effect). For a subset of 17 species, we found consistent patterns of avoidance or tolerance of human disturbance and forest edges, and increased occurrence in areas at higher elevation, matching the historical forest loss that in most mountains occurred at lower elevation. Our study provides ecological insights that are novel for most species and sites, and reveals a general trend of negative impact of human disturbance on both community size and species’ relative abundance. Increased protection of the EAM forests in Tanzania is of urgent importance for the persistence of diversified mammal communities.

Advertising value of the brown bear in the Italian Alps

Abstract In Italy, the reintroduction of the brown bear (Ursus arctos) has created conflicts with people because bears may damage livestock, crops, or honey farms. These damages—and their financial costs—are sometimes used as an argument by those who oppose the presence of this carnivore. Despite such damages, bears can provide economic benefits, such as attracting eco-tourists for bear-watching. The Advertising Value Equivalent was used to assess the value of the bears’ appearances in newscasts and documentaries from 2011 to 2015. The marketing value of the bear as a promoter largely exceeds the amount of reimbursements for damages. This method can be used to highlight the economic benefit that the bear can produce for a destination and contribute to complex discussions with managers and stakeholders.

Surprising longhorned beetle (Coleoptera, Cerambycidae) richness along an Italian alpine valley.

Abstract In this paper we report about 88 longhorned beetles (Cerambycidae) species found in 6929 hectares and distributed along an altitudinal gradient of 1500 m of an Italian alpine valley (Val Genova, central-eastern Italian Alps). The species richness, result merging data from sixty years (1947–2007) of entomological surveys, corresponds to the 32% of the Italian cerambycid fauna confirming the high richness/surface ratio, probably unique in the Alps. The effect of thirteen environmental variables was tested on the species richness, but only the elevation resulted able to affect it. The species richness decrease with altitude not gradually, but experience a strong step above 1700 m a.s.l.. The highest species richness (average values of 42 species) was recorded at the lowest and mid elevations (between 800 and 1600 m a.s.l.). The species turnover along the altitudinal gradient is low suggesting moderate habitat turnover along the valley. One of the eighty-eight observed species, Tragosoma depsarium,is classified near threatened by the IUCN. Our data suggest that the wilderness of the valley close to the suitable management of grasslands and forests, help to support high level of cerambycids diversity. This biodiversity is good indicators of health of the wood saproxylic assemblages, as well an important food source for many vertebrate predators.

The recreational value of forests under different management systems

Forest degradation is a severe threat to the provision of ecosystem services, such as timber production, biodiversity and hydrogeological protection. Forest abandonment is one of the main causes of forest degradation in Mediterranean areas where the low value-added of forest activities affects economic sustainability. This issue requires urgent restoration actions which must be supported by cost–benefit analysis that comprises all forestry activities that generate income, including the recreational ones. In effect, while the impact of forest management systems on timber production is well studied, the impact of recreational values is not. The present article intends to demonstrate that different forms of forest management result in a differing willingness to pay (WTP) for maintaining the recreational use of forests. We collected 248 questionnaires from respondents who confirmed their WTP for the maintenance of the recreational function of forests under three management systems: coppice, active conversion to high forest, and the natural evolution of forests. Moreover, we tested the influence of certain socio-demographic variables on individual WTP. Users elicited a high preference for conversion to high forest, while natural evolution was the least preferred management system. Moreover, males and users with higher levels of education had a greater WTP for conversion to the high forest approach.