Explore the words cloud of the GRADIENT project. It provides you a very rough idea of what is the project "GRADIENT" about.
The following table provides information about the project.
EIDGENOSSICHEN FORSCHUNGSANSTALT FUR WALD SCHNEE UND LANDSCHAFT
|Coordinator Country||Switzerland [CH]|
|Total cost||117˙137 €|
|EC max contribution||117˙137 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-07-01 to 2017-09-30|
Take a look of project's partnership.
|1||EIDGENOSSICHEN FORSCHUNGSANSTALT FUR WALD SCHNEE UND LANDSCHAFT||CH (BIRMENSDORF)||coordinator||117˙137.00|
Long-term historical fire records extending back to the late 1800s are very rare worldwide. Three such long-term historical fire data have been found for this research proposal; (i) Switzerland, central Europe (1900-2014), (ii) Greece, south Europe (1897-2014), and (iii) Algeria, north Africa (1870-2014) which together with the spatial-explicit reconstruction of recent fire history from Landsat satellite images (1984-2016), give a unique and excellent opportunity to understand fire, weather and land use/land cover (LULC) interactions in a north to south transect. Differences in bio-geographical characteristics provided by the three study areas, located on a large geographical gradient covering two continents give the opportunity to document the role of fires in different biomes, to explore cross-scale issues and assess how fire-weather-LULC relationships vary across different scales, especially under a climate change context. This research proposal consists of three topics that correspond mainly to three different scales. The specific objectives are: (i) the identification of trends, patterns and relationships between forest fires, weather, LULC and socio-economic parameters from long-term observations, (ii) the reconstruction of recent fire history and the assessment of burning patterns and fire selectivity on an annual basis from satellite images, and (iii) the exploration of post-fire vegetation dynamics and recovery patterns for selected large fire events using time series satellite images. Those objectives will contribute to the better understanding of fire, weather and land cover interactions, and will therefore provide knowledge for fire and land cover management practices, especially under a climate change context. Understanding of post-fire vegetation dynamics and recovery will help the mitigation of short and long-term consequences of fire occurrence. The knowledge acquired from the past will help to understand current processes and project them to future.
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The information about "GRADIENT" are provided by the European Opendata Portal: CORDIS opendata.
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