CAPRI
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capri:concept:stockdens [2011/04/11 14:25] (current)
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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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 +<hr style="​color:​ '​blue';​ height: '​2';​ text-align: '​left';">​
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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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 +<hr style="​color:​ '​blue';​ height: '​2';​ text-align: '​left';">​
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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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