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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Land use intensity and landscape complexity-Analysis of landscape characteristics in an agricultural region in Southern Sweden


It is generally recognised that agricultural intensification has lead to simplification of landscape structure, but it has not been clarified if this is a ubiquitous relationship. That is, it has been an open question whether agricultural intensity and landscape simplicity should be regarded as one single or as two separate dimensions. To evaluate this we analysed landscape data in 136 different 1 km x 1 km study sites and within a buffer zone of 2 kill around each site (i.e. approximately 5 km x 5 km). The sites were distributed over a large part of the region of Scania, southernmost Sweden, an area dominated by agriculture but With large variation in both intensity and complexity. We used spatially explicit digital data on land use, digitised aerial photographs, field surveys of landscape elements and agricultural statistics. Two separate factor analyses, one for each scale of measurements (1 km and 5 km), suggest that there are five and three relevant factors for each scale respectively. At the 1 km scale, the first factor can be interpreted as describing the intensity of land use in the form of proportion arable land which is highly correlated to crop yield. The second and third factors are more connected to landscape structure and amount of small patches of semi-natural habitats. The fourth and fifth factors contain one major variable each: proportion pasture and leys respectively. The division of intensity and complexity related variables is less clear at a larger spatial scale. At the 5 km scale, factor I is defined almost identically as at the 1 km scale. However, factors 2 and 3 are interpreted as descriptors of dairy and livestock farming systems but also include structural variables. Our analyses suggest that land use intensity and structural complexity of landscapes are more or less separate landscape level factors, at least at smaller spatial scales. This is important to bear in mind, especially when trying to explain patterns of biodiversity change in agricultural landscapes. (C) 2009 Elsevier B.V. All rights reserved.

  • SE
  • Swedish_Univ_Agr_Sci_SLU (SE)
  • Lund_Univ (SE)
Data keywords
  • digital data
Agriculture keywords
  • agriculture
  • farming
  • livestock
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • Swedish_Univ_Agr_Sci_SLU (SE)
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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.