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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Title

Marginal lands: the role of remote sensing in constructing landscapes for agrofuel development

en
Abstract

With the growth of the biofuel complex, the concept of 'marginal land' has emerged as a term commonly associated with the promotion of agrofuels. Remote sensing and other data are used to globally characterize land as marginal based on predominantly biophysical features that render it 'non-competitive' for the purpose of commercial food agriculture. This paper explores the limitations of current geospatial technologies in determining whether marginal land is appropriate for bioenergy crops given that (i) people often have intentions behind land use that are not reflected in most routinely collected remote sensing data and (ii) a remote (and spatio-temporally static) characterization of marginality is unable to capture the shifting character of what constitutes marginality in an economic sense and is therefore a non-sequitur for guiding land use decisions on the ground. This paper also explores the latent values embedded in the ontology of a macro-scale 'marginal land' land cover class and advances the notion that 'marginal land' as an artificial spatial construct serves to re-frame land in a way that neglects socio-ecological processes in order to re-frame it in support of principles based in resource productivism.

en
Year
2012
en
Country
  • US
Organization
  • Boston_Univ (US)
Data keywords
  • ontology
en
Agriculture keywords
  • agriculture
en
Data topic
  • sensors
en
SO
JOURNAL OF PEASANT STUDIES
Document type

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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.