31 research outputs found

    Use of multi-annual modis land surface temperature data for the characterization of the heat requirements for grapevine varieties

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    Heat requirements for grapevine varieties have been widely used to characterize potential growing regions for viticulture. One of the most important indices is the Winkler Index (WI) defined as the total summation of daily average air temperature above 10 °C from 1st of April to 31th of October in the Northern hemisphere. Mapping of the WI is commonly based on temperature data from meteorological stations. However, in complex terrain such as the European Alps, these are usually irregularly and sparsely distributed or unavailable. This renders traditional geospatial interpolation approaches difficult to become reliable. As an alternative, thermal remote sensing data, which are intrinsically spatialised, can be used. The aim of this work was to provide time series of Winkler Index maps from 2003 to 2010, by means of the MODIS Land Surface Temperature (LST) data and to validate the maps using ground truth data, collected by two weather station networks

    Pollen and climate change: is the signal more evident in the natural enviroment? A case study in the Alps (province of Trento, northern Italy)

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    Climate change affects physiology, phenology and distribution of plants. Several authors report an advance in spring phenomena in relation to climate change. Airborne pollen are considered good proxy to describe the phenological phases of flowering. Referring to phenological events, an early pollen release has been observed, in addition to an increasing trend in quantities. Usually, aerobiological monitoring stations are located in urban context with high antropogenic disturbance: in fact, in addition to climate change, such areas are subjected to the presence of air pollutants and changes in land use. Aim of this study is to verify if the climate change effects on pollen season are more clearly detectable in a natural remote situation than in an antropized one. To achieve this goal pollen data collected by an aerobiological monitoring station located in an Alpine ecosistem (Paneveggio Pale di San Martino natural park, Trentino, north Italy, 1020 m a.s.l.) were considered, and compared to those obtained by the other station present in the same region, located in the valley bottom in a rural/urban context (San Michele a/A, 228 m a.s.l.). The pollen sampling was performed using two Hirst-type samplers, according to the UNI CEN/TS 16868 protocol. Data of 10 arboreal and herbaceous pollen taxa collected between 2006 and 2016 were considered. The dataset was checked and validated. The pollen seasons have been defined using 10 different descriptors; non-parametric statistic was used to evidence the influence of meteorological parameters. First results show an early start of the pollen seasons expecially for the arboreal taxa. In this study area, where water availability is not a limiting factor, the meteorological parameters related to air temperature seem the most relevant in influencing the pollen seasons. The monitoring of airborne pollen in natural remote areas with low anthropogenic disturbance is helpful in detecting the effect of climate change on pollen seaso

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

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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 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

    Mapping historical data: recovering a forgotten floristic and vegetation database for biodiversity monitoring

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    Multitemporal biodiversity data on a forest ecosystem can provide useful information about the evolution of biodiversity in a territory. The present study describes the recovery of an archive used to determine the main Schmid’s vegetation belts in Trento Province, Italy. The archive covers 20 years, from the 1970s to the 1990s. During the FORCING project (an Italian acronym for Cingoli Forestali, i.e., forest belts), a comprehensive process of database recovering was executed, and missing data were digitized from historical maps, preserving paper-based maps and documents. All of the maps of 16 forest districts, and the related 8000 detected transects, have been georeferenced to make the whole database spatially explicit and to evaluate the possibility of performing comparative samplings on up-to-date datasets. The floristic raw data (approximately 200,000 specific identifications, including frequency indices) still retain an important and irreplaceable information value. The data can now be browsed via a web-GIS. We provide here a set of examples of the use of this type of data, and we highlight the potential and the limits of the specific dataset and of the historical database, in general

    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
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