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—capri:concept:stockdens [2011/04/11 11:25] – external edit 127.0.0.1
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 +<H2><a class="intext" HREF="/dokuwiki/doku.php?id=capri:concept:spatialdownscaling">Agricultural land use and environmental indicators at 1x1 km grid resolution</A><BR> - Stocking Densities</H2>
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 +Main Contributor: Wolfgang Britz
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 +<P>The <B>stocking densities</B> are estimated for the animal production activities found in the
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 +  <a class="intext" href="/dokuwiki/doku.php">CAPRI data base</A>:</P>
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 +<a href="images\lu.jpg"><img style="text-decoration: none;border: none;color: white;" src="images\lu.jpg" width="500px"/></a></div>
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 +<UL>
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 +    <LI>Dairy cows</LI>
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 +    <LI>Suckler cows</LI>
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 +    <LI>Male calves under 1 year for breeding</LI>
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 +    <LI>Female calves under 1 year for breeding</LI>
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 +    <LI>Male calves under 1 year for fattening</LI>
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 +    <LI>Female calves under 1 year for fattening</LI>
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 +    <LI>Heifers for breeding</LI>
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 +    <LI>Heifers for fattening</LI>
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 +    <LI>Bulls for fattening</LI>
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 +    <LI>Sows</LI>
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 +    <LI>Pigs for fattening</LI>
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 +    <LI>Laying hens</LI>
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 +    <LI>Poultry fattening</LI>
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 +    <LI>Sheep and goat for milk</LI>
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 +    <LI>Other sheep and goat</LI>
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 +</UL>
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 +<P>Attention: CAPRI uses a flow concept to define the activity levels for animal production processes. For fattening activities, the activity level
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 +is defined as the number of slaughtered animals. For raising activities, the activity level is equal to the number
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 +of raised animals. These activity levels are not equal to average annual herd sizes, but can be converted by taking into account the number
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 +of production cycles per year.</P>
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 +<P>The fattening and raising processes are defined per slaughtered or raised animal, and not per number of animals present at a certain point in time. For the maps,
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 +the data for the animal activities are firstly converted to livestock units, and then aggregated to ruminants (cattle, sheep and goat), non-ruminants (pigs, poultry) and total animals, measured in livestock units.</P>
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 +<P>The estimation process is based on regressions of data from the Farm Structure Survey 1999 plus climate, soil, slope and altitude data. Those regressions models are used
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 +to define a forecast and its error per HSMU which serves as the a priori density entering a Highest Posterior Density estimator. The latter choses the stocking density
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 +per cluster of 1x1 km pixel cells which comes closed to the a priori forecast under the condition that the regional numbers reported in FSS are recovered.</P>
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 +<H3>More information</H3>
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 +<P class="pubparagraph"><span class="pubAuthor">Britz W.</span>:<BR>
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 +<I><a HREF="..\docs\est_anim.pdf"> Pan-European Estimation of animal stocking densities 1x1 km grid, JRC, 2007 (pdf, foils)</a></I></p>
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 +<font size=1>Last Updated:Tuesday, October 28, 2008
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