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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Soil Carbon Pools, Mineralization and Fluxes Associated with Land Use Change in Vertisols of Central India


Land use affects soil carbon dynamics which influence the global carbon cycle. Understanding the response of soil organic carbon (SOC) dynamics to land-use changes require size and mean residence time (MRT) of measurable SOC pools. We measured soil carbon pool sizes and decay constants of active and slow carbon pools for different land use systems (agriculture, forest and horticulture) of Central India. Long-term incubation study was carried out for quantification of active (C-a) and slow (C-s) carbon pools and MRT. Chemical fractionation technique (acid hydrolysis) was used for quantification of resistant carbon pool (C-r). The non-hydrolysable carbon (C-r) expressed as a percentage of total C varied between 65 and 68 % in the surface soil of different land use system whereas it was 78 % in sub-surface soil. The incubation study revealed that the Ca pool in different land use system ranged between 3.3 and 10 % of the total C and MRT varied from 25 to 67 days with an average value of 46 days. Our results demonstrate that the active SOC is a sensitive indicator for changes in SOC following land use change. MRT of a slow carbon pool of forest land use was 38.5 years. The MRT of slow pool C in the upper soil layer (0-15 cm) did not differ between horticulture and agriculture land use systems and was approximately 4.5 years. In agriculture land use, MRT of a slow pool of C under was only 2.3 years in sub surface plot. However, MRT of slow carbon pool (C-s) under the Farm yard manure (organic plot) increased by fourfold (17.5 years) in comparison to inorganic treatment (recommended dose of fertilizer-RDF) plot. The results clearly depict opportunity of soil carbon buildup in agriculture with good management practices (application of organic manure). The present research work will also help in improving the SOC dynamics predictive capacity of different global bio-geochemical carbon models.

  • IN
  • ICAR_Indian_Council_Agr_Res (IN)
Data keywords
  • rdf
Agriculture keywords
  • agriculture
  • farm
Data topic
  • information systems
  • modeling
  • semantics
Document type

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

Institutions 10 co-publis
  • ICAR_Indian_Council_Agr_Res (IN)
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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.