1,721,043 research outputs found

    Governing mountain landscapes collectively: local responses to emerging challenges within a systems thinking perspective

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    Alpine cultural landscapes are the result of a long process of social-ecological coevolution, and today face dramatic changes and risks, such as depopulation and abandonment of traditional land use. Some communities seem to adapt better and are benefiting from the changes, compared to others, which are losing their population and identity. Historic collective property institutions and traditional ecological knowledge play a key role. The direction of local development appears to be driven by the interaction of three main forces: culture, multiple-level governance and the local economy. We propose a systems thinking approach to unravel the complexities, highlighting causal connections and interdependency. Focusing on two study areas around Alpine forest-pasture ecotones, where the driving forces mentioned have a major impact, we recognised some general structures that can foster a social learning process by merging different sources of knowledge, promoting advanced understanding of their complexity and better strategies responding to emerging challenges

    GIS applications with GRASS

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    The application of GIS has become fundamental in environmental studies since it allows the integration of heterogeneous data. Several applications of the GRASS GIS where the use of different data types leads to the realization of environmental models are presented. The GRASS GIS has been used to develop and test forest fire risk models combining several morphologic, vegetational and anthropic factors; it has been used to set up a new avalanche risk model which allows the evaluation of the ability of the different vegetation types to protect against avalanches. A procedure for the automatic determination of the forest coverage evolution has been developed using the GRASS image analysis capability. The production of GPS satellites' visibility maps has been automated using the shadow generation algorithm in GRASS. This algorithm is also used to evaluate solar radiation and its relation to vegetation types

    Big geodata management and analysis using GRASS GIS

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    Earth Observation (EO) big data are nowadays easily accessible and consist of long time-spanning data series which are often used to perform different kinds of analysis in several fields of application. GRASS GIS is a Free and Open Source geographic information system (GIS) with support for raster, 3D raster and vector data processing. During this workshop we will show how to manage and analyze big EO data in a simple way with GRASS GIS using its temporal framework (TGRASS). The workshop will start showing the basics about GRASS GIS and it will continue processing data with the TGRASS. The workshop will be an intuitive mix of theoretical and hands-on sections using MODIS and Copernicus Sentinel-2 data

    Recovering historical vegetational database to study the forest biodiversity in Trentino

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    The biodiversity data of a forest ecosystem can be applied to provide useful information about a territory. The presence and distribution of living organisms to interpret and synthesize the characteristics of a territory has been used for a long time and in various contexts. In past years, considerable investigations have been carried out to describe of biodiversity richness and vegetation dynamics in forest ecosystems of Trentino, in particular, the database used for the construction of “Schmid’s vegetational belts”, owned by the Fondazione Edmund Mach. The archive had been thought in order to determine the main vegetational belts in the province of Trento and was made along 20 years, since the beginning of the 70s until the early 90s. The database was not designed to be consulted and accessible since developed by obsolete tools and technologies no longer exploitable. In the framework of the FORCING project, a comprehensive process of database recovering has been carried out: an analysis of the data structure has been performed in order to reverse engineering the database structure, missing data were digitized from historical maps, still preserving paper-based maps and documents. This work aimed to bringing together and homogenizing the datasets of 16 forest districts representing the whole archive, restoring and modernizing the architecture of the original database and removing any redundancy. Also, all the maps and the related 8000 detected transect have been georeferenced, in order to geographically enable the whoile database and to evaluat the possibility to perform comparative samplings on up-to-date datasets. At the same time, it has been pursuing the aim of achieving fully accessible data and metadata, to provide the greatest number of project-related information. Despite the fact that over the years the scientific community has established the obsolescence of the “Schmid’s vegetational belts” system, the floristic data the raw data used at that time still retain an important and irreplaceable information value useful not only as a historical memory, but for many other applications. The amount and structure of the archive is as follows: (1) More than 600 serial lines are evenly distributed across the Trentino. (2) More than 8000 surveys of the transects running along the 600 series lines, placed every 50 m of altitude, presents on average ca. 25 plant species, including trees, shrubs and herbaceous. (3) About 8 ha of land under survey. (4) More than 15 detectors that have taken place along the 20 years of investigation. Five detectors were stable throughout the period of the project. (5) About 1300 different species identified only in the forest ranges (out of ca. 2.300 spp. estimated by Dalla Fior in Trentino). (6) About 200000 specific identification, for each of them are present frequency indices. (7) Thousands of color slides that illustrate the identified species. The data recovery may be useful for following accomplishments: (a) to have a database freely accessible to the scientific community with a web-oriented interface accessible to other stakeholders for consultation and information processing; (b) recovering and ordering of the data and the geo-localization of the transects it is possible to run new survey on the same areas with modern methodologies, using the presence and frequency of over 1300 plant species such as bioindicators, to assess potential impacts due to climate change and/or anthropogenic pressure on forests of Trentino; (c) evaluation of the introgression of invasive and alien species in Trentino; (d) evaluating of care and protection system for species placed in the red list; (e) assess the land use changes in the last twenty years in Trentin

    The contribution of historical vegetational database recovery to the study of forest biodiversity in Trentino (Italy)

    No full text
    The biodiversity data of a forest ecosystem can be applied to provide useful information about a territory. The presence and distribution of living organisms to interpret and synthesize the characteristics of a territory has been used for a long time and in various contexts. In past years, considerable investigations have been carried out to describe of biodiversity richness and vegetation dynamics in forest ecosystems of Trentino, in particular, the database used for the construction of "Schmid’s vegetational belts", owned by the Fondazione Edmund Mach. The archive had been thought in order to determine the main vegetational belts in the province of Trento and was made along 20 years, since the beginning of the 70s until the early 90s. The database was not designed to be consulted and accessible since developed by obsolete tools and technologies no longer exploitable. In the framework of the FORCING project, a comprehensive process of database recovering has been carried out: an analysis of the data structure has been performed in order to reverse engineering the database structure, missing data were digitized from historical maps, still preserving paper-based maps and documents. This work aimed to bringing together and homogenizing the datasets of 16 forest districts representing the whole archive, restoring and modernizing the architecture of the original database and removing any redundancy. Also, all the maps and the related 8,000 detected transect have been georeferenced, in order to geographically enable the whoile database and to evaluat the possibility to perform comparative samplings on up-to-date datasets. At the same time, it has been pursuing the aim of achieving fully accessible data and metadata, to provide the greatest number of project-related information. Despite the fact that over the years the scientific community has established the obsolescence of the “Schmid’s vegetational belts" system, the floristic data the raw data used at that time still retain an important and irreplaceable information value useful not only as a historical memory, but for many other applications. The amount and structure of the archive is as follows: - More than 600 serial lines are evenly distributed across the Trentino. - More than 8,000 surveys of the transects running along the 600 series lines, placed every 50 m of altitude, presents on average ca. 25 plant species, including trees, shrubs and herbaceous. - About 8 ha of land under survey - More than 15 detectors that have taken place along the 20 years of investigation. Five detectors were stable throughout the period of the project. - About 1,300 different species identified only in the forest ranges (out of ca.2.300 spp. estimated by Dalla Fior in Trentino) - About 200,000 specific identification, for each of them are present frequency indices. - Thousands of color slides that illustrate the identified species. The data recovery may be useful for following accomplishments: - To have a database freely accessible to the scientific community with a Web oriented interface accessible to other stakeholders for consultation and information processing. - Recovering and ordering of the data and the geo-localization of the transects it’s possible to run new survey on the same areas with modern methodologies, using the presence and frequency of over 1300 plant species such as bioindicators, to assess potential impacts due to climate change and/or anthropogenic pressure on forests of Trentino. - Evaluation of the introgression of invasive and alien species in Trentino. - Evaluating of care and protection system for species placed in the red list. - Assess the land use changes in the last twenty years in Trentino
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