e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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Modelling the impact of aquaculture on early diagenetic processes in sea loch sediments


We present a novel approach for the simulation of the impacts of finfish aquaculture on sedimentary redox dynamics, based on the coupling of a fish farm waste deposition model (DEPOMOD) and a knowledge-based reactive transport model (RTM) of early diagenesis. The integrated model was applied to a salmon fish farm located in a Scottish fjordic sealoch. The major diagenetic processes of the reaction network were first identified on the basis of literature information and historic data, Next, the organic carbon (OC) flux at a pristine site near the farm was estimated by fitting the vertical profiles of pore water and solid-state chemical species measured in the field, DEPOMOD was then used to predict the fluxes of OC due to the release of uneaten feed and faeces at various distances away from the farm. These fluxes were added to the background 'natural' fluxes and used as forcing functions for the RTM. Comparison of the simulated transient profiles with data collected at an impacted site revealed that the RTM model satisfactorily predicted the transient dynamics of the system. We discuss the use of the model for cost-effective environmental impact assessments, site selection and the optimization of husbandry practices.

  • IT
  • GB
  • NL
  • BE
  • Utrecht_Univ (NL)
  • Deltares (NL)
  • Univ_Ca_Foscari_Venezia (IT)
  • Univ_Libre_Bruxelles_ULB (BE)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • farm
Data topic
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Utrecht_Univ (NL)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.