Low income farms have a history of poorly managing resources, leading to lower use efficiencies. However, few studies have quantified the links or causalities among resource use efficiency and farm poverty or inequality levels.
Survey data for gross domestic product (GDP) and Gini Index (GI) from census databases will be used and farm-level nitrogen use efficiency (NUE) data will be taken from scientific peer-reviewed literature. Analysis of correlation will be applied to NUE data and GDP and GI. In order to better explain the impact of poverty and inequality in farms, the variables will also be related to factors such as level of education and gender of farm manager and the level of farm technology.
A non-linear decay of NUE vs. increasing GDP was observed using the pooled data sets (Figure1). However, this trend was not present in individual geopolitical regions, highlighting the need to increase the level of disaggregation within regions and countries.
Figure 1. Scatter plots for country level Nitrogen Use Efficiency (NUE, %) versus GDP for 80% of the world (overall) and by geopolitical region.
Adopting integrated crop/livestock farming systems, such as ‘Santa Fé’, may help to increase resource use efficiency and alleviate poverty and inequality. In this study, novel aspects of integrated farms are assessed via synergetic modeling.
Computational models for feed intake and nutrient supply of ruminants (RUMINANT) and soil-plant nutrient flows (Environmental Policy Integrated Model—EPIC) are concomitantly used to test the effects of novel forage types and better yielding breeding varieties of beef and dairy cattle.
Figure 2. Representation of synergetic relation between modeling tools for improved account of integrated farms.
Outputs will be fed into the IIASA Global Biosphere Management Model (GLOBIOM), for enhanced accuracy of greenhouse gas emissions mitigation costs and land use change estimates.
Luciano Mendes is a Brazilian citizen, and a IIASA-funded Postdoctoral Scholar (August 2015 – August 2017).
Last edited: 02 March 2016
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313