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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Site selection for shellfish aquaculture by means of GIS and farm-scale models, with an emphasis on data-poor environments


An integrative methodology for site selection of shellfish aquaculture that combines geographical information systems and dynamic farm-scale carrying capacity modeling was developed. The methodology determines suitable aquaculture areas through 3 stages of analysis: (i) analysis of regulatory and social spatial restrictions using GIS to generate a constraints map; (ii) a Multi-Criteria Evaluation that considers the criteria (sediment, water and ecological quality data) and constituent factors (physical, growth and survival, product quality and environmental sensitivity) to generate a final map showing the most appropriate areas using GIS tools; and (iii) detailed analysis of production, socio-economic outputs and environmental effects of suitable areas using the FARM model. The methodology emphasizes the application in data-poor environments, where there are a combination of social difficulties, data scarcity, and aquaculture expansion pressure. The methodology was tested for Pacific oyster (Crassostrea gigas) suspended longline culture in the Valdivia estuary (south central Chile), in order to explore the approach and make management recommendations for potential application. The identification of 3 km(2) (7.6%) of suitable sites in the study area using a GIS approach was made considering regulatory and social constraints; growth and survival factors, physical factors, product quality factors, environmental sensitivity zones, water, sediment and ecological quality criteria, factor suitability ranges, and a final Multi-Criteria Evaluation. The final assessment of production carrying capacity at four potentially suitable sites (Niebla, Valdivia, Isla del Rey and Tornagaleones) indicates that Tornagaleones is the most promising area for shellfish aquaculture and Valdivia is satisfactory; the Niebla and Isla del Rey sites are of marginal interest. Tornagaleones shows a total potential harvest of 139.6 t over a 395 day cultivation period for the test farm, and an average physical product of 11.64. Mass balance estimation was carried out to determine the potential positive impact of the suitable sites for nutrient credit trading. Biodeposition of organic material from the longline leases was also simulated, and found to have a low negative impact on sediment quality. Eutrophication assessment results indicate that positive impacts on water quality in Valdivia and Tornagaleones sites were obtained due to high phytoplankton removal. This methodology illustrates how GIS-based models may be used in conjunction with tools such as a farm-scale carrying capacity model to assist decision-makers in developing an ecosystem approach to aquaculture. The application of this approach provides an integrative methodology for site selection for shellfish aquaculture, despite limitations in the data available, taking into account production, socio-economic and environmental aspects. (C) 2011 Elsevier B.V. All rights reserved.

  • PT
  • ES
  • CL
  • US
  • Univ_Cadiz_UCA (ES)
  • NOAA_Natl_Ocean_Atm_Adm (US)
Data keywords
  • information system
Agriculture keywords
  • farm
Data topic
  • information systems
  • modeling
  • sensors
Document type

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

Institutions 10 co-publis
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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.