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
The Influence of Landscape Composition on the Biotic Community of Constructed Depressional Wetlands
To increase wetland acreage and biodiversity, state agencies constructed more than 220 depressional wetlands throughout Delaware. We investigated effects of landscape composition within 1,000 m and 5,000 m of 20 Kent County, Delaware constructed wetlands on their avian, macroinvertebrate, and vegetative communities. Using digital orthophotography and geographic information system (GIS), we quantified agriculture, early successional, forest, development, freshwater wetlands, roads, and streams within concentric buffers. We also calculated distance to nearest forest, wetland, and paved road edge from the wetland's center. In 2004 and 2005, we surveyed the biotic communities and regressed richness and diversity values against landscape variables. Proximity of nearest forest edge was the most important variable in explaining avian and vegetative richness and diversity. We detected negative relationships with distance to nearest forest and bird richness, bird diversity, total plant richness, facultative wetland plant cover, and native, exotic, and obligate wetland plant richness and cover. Furthermore, bird richness and diversity increased with forest area within 1,000 m and bird diversity increased with forest area within 5,000 m. To optimize biodiversity, managers should consider proximity to forest for wetlands constructed in agricultural landscapes.
Inappropriate format for Document type, expected simple value but got array, please use list format