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

On-Ranch Grazing Strategies: Context for the Rotational Grazing Dilemma

en
Abstract

Considerable debate remains over the efficacy of rotational grazing systems to enhance conservation and agricultural production goals on rangelands. We analyzed responses to grazing management questions in the Rangeland Decision Making Surveys of 765 California and Wyoming ranchers in order to characterize on-ranch grazing strategies and identify variables influencing strategy adoption. Two-thirds of respondents practice on-ranch rotational grazing strategies, indicating ranchers do experience benefits from rotation which have not been documented in experimental comparisons of rotational and continuous grazing systems. Limited on-ranch adoption of intensive rotational strategies (5% of respondents) indicates potential agreement between research and management perceptions about the success of this particular strategy for achieving primary livestock production goals. Over 93% of all rotational grazer respondents were characterized as using extensive intragrowing season rotation with moderate (few wk to mo) grazing period durations, moderate (2.4-8 ha.animal unit) livestock densities, and growing season rest periods. Variables associated with ranchers' grazing preferences included a mixture of human dimensions (goal setting, views on experiment and risk tolerance, information networks), ranch characteristics (total number of livestock, land types comprising ranch), and ecoregions. We also found that the majority of grazing systems research has largely been conducted at spatial and temporal scales that are orders of magnitude finer than conditions under which on-ranch adaptive grazing management strategies have been developed. Resolving the discrepancies between the grazing systems research and management knowledge base will require substantive communication and novel approaches to participatory research between scientists and managers. (C) 2015 Society for Range Management. Published by Elsevier Inc. All rights reserved.

en
Year
2015
en
Country
  • US
Organization
  • Univ_Calif_Davis (US)
  • Univ_Illinois_Urbana_Champaign (US)
  • USDA_ARS_Agr_Res_Serv (US)
Data keywords
  • knowledge
  • knowledge based
en
Agriculture keywords
  • agriculture
  • livestock
en
Data topic
  • decision support
en
SO
RANGELAND ECOLOGY & MANAGEMENT
Document type

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Institutions 10 co-publis
  • Univ_Calif_Davis (US)
  • Univ_Illinois_Urbana_Champaign (US)
  • USDA_ARS_Agr_Res_Serv (US)
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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.