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
The large body of research on land use and land cover changes in the Brazilian Amazon generally shows the significant effect of smallholder production systems. However, it is still unclear how far the specific social and economic characteristics of smallholders influence on land use and land cover changes. To shed more light on this aspect, the effects of selected socio-economic variables on land uses at the household level were investigated in a case study on the "Palmares-2" settlement in the Brazilian Amazon. Using LANDSAT TM and SPOT images available for 1986, 1992, 2001 and 2007, land use changes were analyzed on the scale of individual farms. The GIS (Geographic Information System) data were then combined with information from a survey of 44 farmers. Analysis showed that levels of income positively influenced deforestation rates over the period, and that the expansion of pastures and farmlands was significantly greater among households with a higher level of education. The availability of non-refundable credits correlated with an increase in forest fallows. Areas of bare and/or burned lands were larger among family holdings with lower capital stock that were less permanently established in the area. The findings of this study suggest that income levels and education are highly relevant factors in accounting for land-use and land cover changes among Amazonian smallholders.
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