Dataset Open Access

Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution

Tomislav Hengl; Ichsani Wheeler


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    <dct:title>Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued>
    <dcat:keyword>LandGIS</dcat:keyword>
    <dcat:keyword>soil carbon</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-12-24</dct:issued>
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    <dct:description>&lt;p&gt;Soil organic carbon stock in kg/m&lt;sup&gt;2&lt;/sup&gt; for 5 standard depth intervals (0&amp;ndash;10, 10&amp;ndash;30, 30&amp;ndash;60, 60&amp;ndash;100 and 100&amp;ndash;200 cm) at 250 m resolution. To convert to t/ha multiply by 10.&amp;nbsp;Derived using soil organic carbon content (&lt;a href="https://doi.org/10.5281/zenodo.1475457"&gt;https://doi.org/10.5281/zenodo.1475457&lt;/a&gt;), bulk density (&lt;a href="https://doi.org/10.5281/zenodo.1475970"&gt;https://doi.org/10.5281/zenodo.1475970&lt;/a&gt;) and coarse fragments (&lt;a href="https://doi.org/10.5281/zenodo.2525681"&gt;https://doi.org/10.5281/zenodo.2525681&lt;/a&gt;), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10&amp;ndash;15% lower then reported.&amp;nbsp;Processing steps are described in detail &lt;strong&gt;&lt;a href="https://github.com/Envirometrix/LandGISmaps/tree/master/soil"&gt;here&lt;/a&gt;&lt;/strong&gt;. Antartica is not included.&lt;/p&gt; &lt;p&gt;To access and visualize maps use:&amp;nbsp;&lt;a href="https://openlandmap.org"&gt;&lt;strong&gt;https://openlandmap.org&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt; &lt;p&gt;If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Technical issues and questions about the code:&amp;nbsp;&lt;a href="https://github.com/Envirometrix/LandGISmaps/issues"&gt;https://github.com/Envirometrix/LandGISmaps/issues&lt;/a&gt;&amp;nbsp;&lt;/li&gt; &lt;li&gt;General questions and comments:&amp;nbsp;&lt;a href="https://disqus.com/home/forums/landgis/"&gt;https://disqus.com/home/forums/landgis/&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;All files internally compressed using &amp;quot;COMPRESS=DEFLATE&amp;quot; creation&amp;nbsp;option in GDAL. File naming convention:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;sol = theme: soil,&lt;/li&gt; &lt;li&gt;organic.carbon.stock = variable: soil organic carbon stock in kg/m2,&lt;/li&gt; &lt;li&gt;msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments,&lt;/li&gt; &lt;li&gt;m = mean value,&lt;/li&gt; &lt;li&gt;250m = spatial resolution / block support: 250 m,&lt;/li&gt; &lt;li&gt;b0..10cm = vertical reference: 0-10 cm layer below surface,&lt;/li&gt; &lt;li&gt;1950..2017 = time reference: period 1950-2017,&lt;/li&gt; &lt;li&gt;v0.2 = version number: 0.2,&lt;/li&gt; &lt;/ul&gt;</dct:description>
    <dct:description xml:lang="">{"references": ["Sanderman, J., Hengl, T., Fiske, G., (2017). The soil carbon debt of 12,000 years of human land use. PNAS, https://dx.doi.org/10.1073/pnas.1706103114", "Hengl, T., de Jesus, J.M., Heuvelink, G.B., Gonzalez, M.R., Kilibarda, M., Blagoti\u0107, A., Shangguan, W., Wright, M.N., Geng, X., Bauer-Marschallinger, B. and Guevara, M.A., (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS one, 12(2), p.e0169748. https://doi.org/10.1371/journal.pone.0169748", "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]}</dct:description>
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