The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Creating precise climatic maps (temperature and precipitation map especially) on small areas such as drainage basins or landform units is always very useful for ecology of plants, distribution of vegetation and also different types of agricultural land. The geographic information system (GIS) analysis of several key-factors (aspect and slope of terrain, insolation degree, thermal gradient, geology and structure of landforms) offers the necessary tools to operate with in order to create an accurate climatic map. This method was applied in order to create a map showing the distribution of temperatures in the Olanesti drainages basin, a 235 km(2) area located at middle latitude, in Romania. After creating the DEM, aspect and slope of the terrain, reclassifying categories and calculating the thermal gradient, a map showing the distribution of the annual mean temperature is obtained. Other climatic parameters could be calculated for small areas too, with precise results. These demonstrate that not only elevation and mathematical location of an area are important factors in the distribution of temperature, but also the aspect, the gradient, the insolation, the type of rock and the structure.
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