Science for policy 7: Don’t get bogged down: managing organic soils to mitigate climate change – datasets. (doi:10.15454/C1QTH2)

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Document Description

Citation

Title:

Science for policy 7: Don’t get bogged down: managing organic soils to mitigate climate change – datasets.

Identification Number:

doi:10.15454/C1QTH2

Distributor:

Portail Data INRAE

Date of Distribution:

2019-10-29

Version:

2

Bibliographic Citation:

Verbos, Dick; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 7: Don’t get bogged down: managing organic soils to mitigate climate change – datasets.", https://doi.org/10.15454/C1QTH2, Portail Data INRAE, V2

Study Description

Citation

Title:

Science for policy 7: Don’t get bogged down: managing organic soils to mitigate climate change – datasets.

Identification Number:

doi:10.15454/C1QTH2

Authoring Entity:

Verbos, Dick (university of antwerp)

Bampa, Francesca (WUR)

Schulte, Rogier (WUR)

Creamer, Rachel (WUR)

Jones, Arwyn (JRC)

Staes, Jan (UA)

Zwetsloot, Marie (WUR)

Debernardini, Mariana (WUR)

O’Sullivan, Lilian (Taegasc)

Other identifications and acknowledgements:

Saby, Nicolas

Other identifications and acknowledgements:

European Commission

Distributor:

Portail Data INRAE

Access Authority:

Jan Staes

Depositor:

Saby, Nicolas

Date of Deposit:

2019-10-29

Study Scope

Keywords:

Climate, Rural and Agricultural Sociology, Soils and soil sciences

Abstract:

<p>This dataset is part of Deliverable 4.2, 4.3 and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles:</p> <ul> <li>PO7_OrganicSoils_CO2Equivalent.shp</li> <li>PO7_OrganicSoils_CH4.shp</li> <li>PO7_OrganicSoils_N2O.shp</li> <li>PO7_OrganicSoils_CO2.shp</li> </ul> <p>The shapefiles give an estimation of the change in the soil function &ldquo;Climate regulation&rdquo; and the relative reduction in CO2, CH4 and N2O emissions across the EU in organic agricultural soils when changing land cover (grasslands) and different management practices. This change in spatial variation is represented in change in z-scores compared to the current soil function performance on a NUTS1 level.</p> <p>More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in:</p> <p>Vrebos D., J. Staes, R. Schulte, L. O&rsquo;Sullivan, E. Lugato, A. Jones, A. Georgoulas and P. Meire (2018). Soil function supply maps. LANDMARK Report 4.2.</p> <p>Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O&rsquo;Sullivan, P. Meire, R.P.O. Schulte, J. Schr&ouml;der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3.</p> <p>and</p> <p>Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3.</p>

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Dataset

Methodology and Processing

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Data Access

Notes:

<img src="https://www.etalab.gouv.fr/wp-content/uploads/2011/10/licence-ouverte-open-licence.gif" alt="Licence Ouverte" height="100"><a href="https://www.etalab.gouv.fr/licence-ouverte-open-licence">Licence Ouverte / Open Licence Version 2.0</a> compatible CC BY

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