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.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Greenhouse gas (GHG) emissions to the atmosphere and their potential impact on global climate have become important concerns world-wide. Livestock production systems, such as dairy farms, provide both sinks and sources for GHGs. Typical emissions have been quantified in Europe and synthesized to estimate farm-level GHG emissions. However; fewer data are available in the United States, and little has been done to estimate emissions for our farms. Through an extensive literature review, average GHG flows were quantified for each major farm source and sink including the soil, growing crops, animals, and manure storage. These typical gas exchanges were then combined to estimate farm-level net emissions for a representative, 100-cow dairy farm in Pennsylvania. Emissions from animal facilities primarily consisted of animal respiration (532 Mg CO(2) yr(-1)) and enteric fermentation (16.9 Mg CH(4) yr(-1)) with a total annual emission of 971 A g CO(2) equivalent (CO(2)e) where each unit of CH(4) is equivalent to 25 units of CO(2) in global warming potential. Manure storage emissions included CO(2), CH(4), and N(2)O for a total annual emission of 216 Mg CO(2)e with each unit of N(2)O equivalent to 298 units of CO(2). Cropland provided a net flux or sink of -784 to -168 Mg CO(2)e yr(-1) depending upon the amount of manure carbon sequestered in the soil. The estimated whole-farm net annual GHG emission ranged from 2.5 to 5.8 Mg CO(2)e per 500 kg livestock unit or 0.50 to 1.2 kg CO(2)e kg(-1) of milk produced. This review and farm analysis has helped direct modeling efforts by determining the important processes that drive emissions of CO(2), CH(4), and N(2)O in dairy production along with expected ranges for these emissions. Such data expand the knowledge base of researchers, farm planners, and policymakers as they work to develop and maintain sustainable farming systems in the United States.
Inappropriate format for Document type, expected simple value but got array, please use list format