2009
DOI: 10.1007/s10980-009-9357-5
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Modelling the spatial distribution of livestock in Europe

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Cited by 100 publications
(94 citation statements)
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“…Landcover maps, such as the CORINE maps of the European Commission, are, in general, particularly poor in capturing farmland abandonment as well as intensification and disintensification processes. Fortunately, new land-use intensity datasets for Europe have been or are currently produced, including livestock grazing intensity (Neumann et al 2009(Neumann et al , 2011, fertilizer application (Temme and Verburg 2011), forest harvesting intensity (Levers et al 2014), and cropping intensity (S. Estel, T. Kuemmerle, C. Alcántara, C. Levers, A. Prishchepov, and P. Hostert, unpublished manuscript), offering potential for uptake in more comprehensive landscape characterizations.…”
Section: Landscape Structure and Land-use Intensitymentioning
confidence: 99%
“…Landcover maps, such as the CORINE maps of the European Commission, are, in general, particularly poor in capturing farmland abandonment as well as intensification and disintensification processes. Fortunately, new land-use intensity datasets for Europe have been or are currently produced, including livestock grazing intensity (Neumann et al 2009(Neumann et al , 2011, fertilizer application (Temme and Verburg 2011), forest harvesting intensity (Levers et al 2014), and cropping intensity (S. Estel, T. Kuemmerle, C. Alcántara, C. Levers, A. Prishchepov, and P. Hostert, unpublished manuscript), offering potential for uptake in more comprehensive landscape characterizations.…”
Section: Landscape Structure and Land-use Intensitymentioning
confidence: 99%
“…We used grazing intensity of cattle, goats, and sheep as a proxy for nitrogen inputs on pastures as suggested by Temme and Verburg (2011). We converted livestock numbers on NUTS2 level to livestock units (LSU) following Neumann et al (2009). We disaggregated LSU to livestock density (LSU/km 2 ) based on grazing probability maps (Neumann et al 2009) and reclassified the result into two classes, which were used as a proxy for low (0-25 LSU/km 2 ) and high ([25 LSU/ km 2 ) grazing intensity ( Fig.…”
Section: Land Cover and Land Management Scenariosmentioning
confidence: 99%
“…After the reclassification of the nitrogen input levels the point observations were extrapolated to all cropland pixels using country-specific multinomial regression models and a set of environmental and socio-economic location factors. Grassland was modeled using a different approach, where we estimated nitrogen input based on local cattle stocking densities using livestock maps from Neumann et al (2009) and assuming a uniform quantity of 100 kg N/ha per cow per year (van Grinsven et al, 2015;van der Hoek, 1998), based on total N of dairy cattle minus the N in animal products (e.g., milk). Following the approach of Temme & Verburg (2011), nitrogen input was reclassified into two classes; extensive (<50 kg N/ha) and intensive (>50 kg N/ha) grasslands.…”
Section: Datasets Usedmentioning
confidence: 99%