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
Plantation buffers for streams in agricultural catchments: developing the knowledge base for natural resource managers and farm-foresters
The use of buffers to protect streams in the agricultural landscape is a priority internationally for investing in water quality protection. However, the quantitative benefits of this practice are difficult to predict for a range of water quality parameters. It also has been generally unclear in Australia how codes of forest practice apply to situations where land managers want to use forest plantation trees in stream-side buffers for both environmental and commercial benefits. We are conducting research to quantify the effects on water quality and stream flow of using plantation buffers on pastured farmland, and developing knowledge and guidelines that will influence policy and practice. A paired-catchment experiment of the plantation establishment phase has commenced, and other work will address the harvesting phase and farm-scale economics. A range of water quality parameters are being monitored, with hillslope nitrogen dynamics a particular focus for measurement and modelling. In the establishment phase experiment, pre-establishment monitoring of water quality was followed by installation of the plantation buffer in August 2008. Early results indicate that soil disturbance close to the stream associated and with spot cultivation for tree seedlings has not adversely affected turbidity of stream water. The HYDRUS model (including the CW2D nitrogen module) will be used for modelling hillslope nitrogen dynamics (mineralisation, nitrification, leaching, runoff, denitrification and uptake) as affected by buffer establishment. The buffer could particularly affect soil water status, denitrification and uptake, the combined effect of which could mitigate nitrogen delivery to the stream. By validating this approach in the experimental catchment, we expect to provide a modelling framework that can be applied to a diverse range of situations, e.g. designing buffer widths and management to achieve particular water quality nitrogen objectives in contrasting soil and climate conditions. Early results will be shown that indicate progress towards this objective. By linking various aspects of the research we expect to influence streamside buffer adoption and management at several scales. At the national and state scales we are in the process of advising regulators on improvements to codes of forest practice and policy options that encourage adoption. At the regional scale we have started advising natural resource managers of the quantitative effects of streamside buffers on water outcomes. At the farm scale we will be developing guidelines for the practical aspects of buffer management and advising on the expected costs and benefits.
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