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
Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping
Landscapes can be viewed as a continuum and studied using spatial gradients along which environmental modifications determine the structural and functional components of ecosystems. The analysis and quantification of Ecosystem Services, intended as the benefits people obtain from ecosystems, play a crucial role in sustainable landscape planning. In this framework we developed a novel method for the identification and characterization of the landscapes nested along the urban-rural-natural gradient and the analysis of potential ES supply and demand within said landscapes. The Kernel Density Estimation technique was applied to calculate continuous intensity indicators associated with urbanization, agriculture, and natural elements, considered as key components of the gradient. The potential ES demand and supply within each landscape area were assessed using expert-knowledge based indices associated to the LULC CORINE classes. Results showed a complex organization of "pillar" and transitional landscapes along the gradient, which match different bundles of ES demand and supply.
Inappropriate format for Document type, expected simple value but got array, please use list format