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37 results for “SERENA”
SERENA EJPSOIL SK Erosion SoilErosion
<div> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>The present data was prepared according to the methodology of SERENA Soil erosion cookbook for the territory of Slovakia. The map of soil loss by water erosion (soil threat) was based on the RUSLE model.</p> <p>The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion (ST). </p> </div> <div> <p>To create the soil loss map we used theese data: </p> </div> <div> <p> R factor - we used data from 100 automatic rain stations on minute rainfall for about 10-year period (national dataset) </p> </div> <div> <p>K factor – we used the source proposed in the cookbook from ESDAC dataset: Soil Erodibility (K- Factor) High Resolution dataset for Europe </p> </div> <div> <p>LS factor – we used the source proposed in the cookbook from ESDAC dataset: LS-factor (Slope Length and Steepness factor) for Slovakia </p> </div> <div> <p>C factor – we used LPIS database-this has information about crops on agricultural soil. We have values of C factor for all crops. </p> </div> <div> <p>P factor – we used the source proposed in the cookbook from ESDAC dataset: P factor for Slovakia. This map has values about 0.99 for Slovakia, so P-factor does not have much effect on the resulting erosion. </p> </div> <div> <p>The delivered map was prepared in GeoTIFF format in the resolution of 500 * 500 m. </p> </div>
SERENA EJPSOIL SK SOIL Erosion ErosionControl
<div> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <div> <p><span><span>The present data was prepared according to the </span><span>methodology</span><span> of SERENA soil erosion control cookbook</span><span> for the territory of </span><span>Slovakia</span><span>. </span><span>The map of soil loss by water erosion (soil threat</span><span>) </span><span>was based on the </span><span>RUSLE model.</span> <span>or the soil erosion control, the difference between the erosion map without vegetation (C-factor = 1) and the erosion map with vegetation was calculated.</span></span><span> </span></p> </div> </div> <div> <p>The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. </p> </div> <div> <p>To create the soil loss map we used theese data: </p> </div> <div> <p> R factor - we used data from 100 automatic rain stations on minute rainfall for about 10-year period (national dataset) </p> </div> <div> <p>K factor – we used the source proposed in the cookbook from ESDAC dataset: Soil Erodibility (K- Factor) High Resolution dataset for Europe </p> </div> <div> <p>LS factor – we used the source proposed in the cookbook from ESDAC dataset: LS-factor (Slope Length and Steepness factor) for Slovakia </p> </div> <div> <p>C factor – we used LPIS database-this has information about crops on agricultural soil. We have values of C factor for all crops. </p> </div> <div> <p>P factor – we used the source proposed in the cookbook from ESDAC dataset: P factor for Slovakia. This map has values about 0.99 for Slovakia, so P-factor does not have much effect on the resulting erosion. </p> </div> <div> <p>The delivered map was prepared in GeoTIFF format in the resolution of 500 * 500 m. </p> </div>
SERENA EJPSOIL PL SOC LOSS SOC CONTENT
<p>General description of SERENA</p> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>Files description</p> <p>Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). Data was prepared based on the DSM approach using QRF algorithm. We used over 40000 points to create maps of SOC content for 2018 and climate change RCP 4.5 and 8.5 scenarios (https://opendap.4tu.nl/thredds/catalog/data2/uuid/e940ec1a-71a0-449e-bbe3-29217f2ba31d/catalog.html) to predict SOC content for 2050.</p>
SERENA EJPSOIL PL GHG NEP
<p>General description of SERENA</p> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>Files description</p> <p>Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). </p> <p><span>The present dataset corresponds to a map of Net Ecosystem Productivity (NEP) for Poland (agricultural areass) as wheat by the Eurocrop 2028 spatial product (d’Andrimont et al. 2021). </span>The map is the result of applying the NEP cookbook developed in SERENA/EJP-Soil to the area of interest (AOI) input data. NEP is expressed for a single 8-day period in early summer as it is the date with the highest value. The NEP value is a 2014 average for the particular 8-day period. <span>NEP was used as an indicator of greenhouse gasses and climate regulation supported by soils. </span></p>
SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED
<p>General description of SERENA</p> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>Files description</p> <p>Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). The RUSLE method was used to prepare the attached files. </p>
SERENA EJPSOIL PL EROSION SOIL LOSS
<p>General description of SERENA</p> <p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>Files description</p> <p>Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). The RUSLE method was used to prepare the attached files. All attached GeoTIFFs were described below:</p> <p>SERENA_EJPSOIL_PL_EROSION__K_factor_2018.tif</p> <p>The result of modelling K factor - soil-erodibility factor </p> <p>SERENA_EJPSOIL_PL_EROSION_C_factor_2018.tif</p> <p>The result of modelling C factor - land cover and management factor</p> <p>SERENA_EJPSOIL_PL_EROSION_LS_factor_2018.tif</p> <p>The result of modelling LS factor - slope length and steepness factor (Source: https://esdac.jrc.ec.europa.eu/themes/slope-length-and-steepness-factor-ls-factor)</p> <p>SERENA_EJPSOIL_PL_EROSION_P_factor_2018.tif</p> <p>The result of modelling P factor - support practices factor (Source: https://esdac.jrc.ec.europa.eu/themes/support-practices-factor)</p> <p>SERENA_EJPSOIL_PL_EROSION_R_factor_2018.tif</p> <p>The result of modelling R factor -erosivity factor (rainfall event's ability to cause soil water erosion)</p> <p>SERENA_EJPSOIL_PL_EROSION_SOIL_LOSS_2018.tif</p> <p>Total soil erosion loss by water modelled for agricultural soils in Poland for 2018 (Map unit: <span>Mg ha<sup>−1</sup> yr<sup>−1</sup></span>)</p> <p>SERENA_EJPSOIL_PL_EROSION_SOIL_LOSS_MAX_EROSION_2018.tif</p> <p>Total maximum soil erosion loss by water modelled for agricultural soils in Poland for 2018 (Excluding C factor) (Map unit: <span>Mg ha<sup>−1</sup> yr<sup>−1</sup></span>)</p>
SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>One of the objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The present data was prepared according to the methodology of the SERENA Soil erosion and soil erosion control cookbook. Soil loss was used as an indicator for soil erosion (ST). The map of soil loss by water erosion (soil threat) was based on the RUSLE model. For Italy, the cookbook was applied in the Tuscany region. <br> <br>To create the soil loss map we used:</p> <ul> <li>for R-factor, not freely available database of meteorological parameters spatialized at 250 m (minimum and maximum daily air temperature; cumulate daily precipitation) over Tuscany region (period 1990–2022, Lamma Consortium) and a local linear equation between R and mean annual precipitation (P);</li> <li>for C -factor, Regional Land use map 1:10.000 (2018, freely available at: https://www502.regione.toscana.it/geoscopio/usocoperturasuolo.html) and ESDAC method (https://doi.org/10.1016/j.landusepol.2015.05.021) ; </li> <li>for K-factor, sand, silt, clay, and O.C. (%) maps (built from 4.000 soil profiles, following FAO’s methodology in GSP-GSOC map, Lamma Consortium), and Torri et al. (1997) function;</li> <li>for LS-factor, DEM 10 m of Tuscany, (freely available at https://www502.regione.toscana.it/geoscopio/cartoteca.html99) and Desmet & Govers (1996) SAGA tool (applied at 10 m and upscaled);</li> <li>for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor of 0.5 was considered, based on expert evaluation)</li> </ul> <p>Maps was delivered in the GeoTIFF format in the resolution of 100m. <br>Delivered data will be validated by stakeholders from Italy (scientist) in October, 2024.</p>
SERENA EJPSOIL NL EROSION SOILLOSS
<p><span><span>The internal EJP SOIL project </span></span><span><span>SERENA contributed to the evaluation of soil multifunctionality aiming </span></span><span><span>at providing assessment tools for land planning and soil policies at different scales. By co-working </span></span><span><span>with relevant stakeholders, the project provided co-developed indicators and associated cookbooks </span></span><span><span>to assess and map them, to report both on soil degradation, soil-based ecosystem services and </span></span><span><span>their bundles, under actual conditions and for climate and land-use changes, at the regional, </span></span><span><span>national, and European scales.</span></span></p> <p><span>The dataset corresponds to a map of potential soil loss (Mg/ha/yr) due to erosion risk. The map is the result of applying the Erosion cookbook developed in SERENA/EJP-Soil. The map is created by calculating the erosion factor by the RUSLE model and has 25 m spatial resolution.</span></p>
SERENA EJPSoil Soil erosion control in Tuscany (Italy)
<div> <p><span><span>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</span></span></p> <p><span><span>One of the </span><span>objective</span><span> of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The present data was prepared according to the </span><span>methodology</span><span> of the SERENA Soil erosion and soil erosion control cookbook</span><span>. </span><span>Soil loss was used as an indicator for soil erosion (ST). T</span><span>he map of soil mass not eroded was based on the RUSLE model. </span><span>Soil erosion control was calculated as the difference between potential and actual soil erosion (SES, ecosystem service of soil erosion protection, i.e. soil eroded mass </span><span>retained</span><span> by vegetation, Mg/ha/y)</span><span>. For Italy, the cookbook was applied in the Tuscany region. </span></span><span> </span></p> </div> <div> <p><span><span>To create the soil loss map we used:</span></span><span> </span></p> </div> <div> <ul> <li><span><span>for R-factor, not freely available database of meteorological parameters spatialized at 250 m (minimum and maximum daily air temperature; cumulate daily precipitation) over Tuscany region (period 1990–2022, Lamma </span><span>Consortium) and</span><span> a local linear equation between R and mean annual precipitation (P);</span></span> </li> <li><span>for C -factor, Regional Land use map 1:10.000 (2018, freely available at: </span><span>https://www502.regione.toscana.it/geoscopio/usocoperturasuolo.html</span><span>) and ESDAC method (</span><span>https://doi.org/10.1016/j.landusepol.2015.05.021</span><span>) ;</span> <span> </span></li> <li><span>for K-factor, sand, silt, clay, and O.C. (%) maps (built from 4.000 soil profiles, following FAO’s </span><span>methodology</span><span> in GSP-GSOC map, Lamma Consortium), and Torri et al. (1997) function;</span><span> </span></li> <li><span>for LS-factor, DEM 10 m of Tuscany, (freely available at </span><span>https://www502.regione.toscana.it/geoscopio/cartoteca.html99</span><span>) and Desmet & </span><span>Govers</span><span> (1996) SAGA tool (applied at 10 m and upscaled);</span><span> </span></li> <li><span>for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor </span><span>of 0.5</span><span> was considered, based on expert evaluation)</span><span> </span></li> <li><span>for P-factor, not freely available database 1:10.00 of terraced areas (Lamma Consortium, 2020) (for terraced areas a multiplication factor </span><span>of 0.5</span><span> was considered, based on expert evaluation)</span><span> </span></li> </ul> </div> <div> <p><span><span>Maps was delivered in the </span><span>GeoTIFF</span><span> format in the resolution of 100m. </span></span><span> </span></p> </div> <div> <p><span><span>Delivered data will be </span><span>validated</span><span> by stakeholders from Italy (scientist) in </span><span>October,</span><span> 2024.</span></span><span> </span></p> </div>
SERENA EJPSOIL NL GHG NEP
<p><span>The internal EJP SOIL project </span><span>SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</span></p> <p><span>The dataset corresponds to a map of greenhouse gas emissions, measured in net ecosystem productivity. The map is the result of applying the GHG cookbook developed in SERENA/EJP-Soil. It is based on GPP products derived from the MODIS algorithm in 2014, combined with soil moisture and temperature data. The final map includes 45 bands with the NEP values (in g C/m2) of each 8-day period between 2-1-2014 and 31-12-2014. The map has a 500 m spatial resolution.</span></p>
EJPSOIL_SERENA: Maps of Soil Organic Carbon Loss Scenarios in Elva Parish, Estonia
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. </p> <p>The study examined the effects of winter cropping systems on long-term soil fertility and their potential to mitigate SOC (Soil Organic Carbon) loss compared to bare soil during the winter months. It analyzed changes in SOC stocks (0–30 cm) at the field level in Elva Parish over the period 2020–2040, under different land-use scenarios. The modeling was based on a SOC stock map layer for Estonian mineral arable soils, developed by the Centre of Estonian Rural Research and Knowledge, which represented the baseline conditions in 2020. SOC stock projections were made using the RothC model, which simulates soil carbon turnover. </p> <p>In the first scenario (Scenario 1), the average SOC stock in Elva Parish by 2040 was estimated assuming the land would remain bare, without vegetation, during the winter months from October to April. In the second scenario (Scenario 2), the SOC stock projection accounted for the presence of winter vegetation, which means the soil is covered with vegetation year-round. The dataset includes four files: a projected SOC stock map for Elva Parish in 2040 and the stock changes from 2020–2040 under Scenario 1, along with a projected SOC stock map for 2040 and the stock changes from 2020–2040 under Scenario 2. </p>
SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE
<p><span>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. </span></p> <p><span>This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at </span><span>regional scale.</span> <span>The map of soil sealing (soil threat) was based on </span><span>classification of multitemporal satellite images and photointerpretation</span><span>. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images.</span></p>
SERENA EJP Soil: Green House Gas Regulation Application Emilia-Romagna, Italy (Summer)
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p>
SERENA EJPSOIL NL SOILSEALING SEALINGDEGREE
<p><span>The internal EJP SOIL project </span><span>SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</span></p> <p><span>The dataset corresponds to a map of soil sealing of the Netherlands for the year 2022 (compared to 2021). The map is the result of applying the Soil Sealing cookbook developed in SERENA/EJP-Soil. It is based on multitemporal satellite images (a combination of Sentinel 1 & 2 sattelite images). The methodology uses vegetation (Sentinel 1) and backscatter (Sentinel 2) indices calculated over time series of images. The final map has 10 m spatial resolution and is classified according to the following:</span></p> <p><span>1. Possible changes identified by both Sentinel-1 and Sentinel-2 methodologies (very probable changes)<br>2. Possible changes identified by Sentinel-1 methodology<br>3. Possible changes identified by Sentinel-2 methodology<br>4. Possible changes identified by Sentinel-2 methodology with shift period (less probable)</span></p>
SERENA Task 1.4 – Definition of scenarios - Survey results
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p>
SERENA EJP Soil - Map of Soil Sealing of Italy
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p>
SERENA EJPSOIL IE WEXFORD SOIL SEALING
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p><span>We conducted an analysis using the Level 1 version of the soil-sealing cookbook on Sentinel 2 tiles 29UPU and 29UPT, with a reference year of 2019. For this analysis, we used National Orthophotos and Google Satellite images to confirm/deny potential changes in soil sealing identified by cookbook methodology. The 2018 Copernicus Land Monitoring Service High Resolution Layer Imperviousness served as the baseline for soil sealing.</span></p>
SERENA EJPSOIL IE MEATH GHG NEP
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>Data for NEP analysis was provided through the Microsoft Teams shared folder. However, MODIS data was obtained using the MODISTools R package in RStudio (R 4.3.1). Nine MODIS tiles to cover the extent of Ireland were merged and exported to QGIS for analysis. </p> <p>An 8-day NEP analysis was conducted for the entirety of the Republic of Ireland under wheat crop from 02-09 of January. However, wheat production in Ireland is largely centred around several key regions in the east/central-east due to the relative dominance of grassland and alternative agricultural regimes elsewhere. This resulted in quite a sparse visualisation at national scale. Hence, a refined analysis for the same period in County Meath</p>
SERENA EJP Soil: Bundles' cookbook exemplary datasets
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p>
SERENA EJPSOIL IT TUS SOC Loss SOC
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>The map is the result of applying the SOC loss cookbook developed in SERENA/EJP-Soil. It is based on Tuscany Region SOCdatabase (Gardin et al., 2021). Not freely available (Lamma Consortium). More information and requests to: <a href="mailto:info@lamma.toscana.it">info@lamma.toscana.it</a>.</p> <p>Three versions of the map were produced.</p> <p>In versions v1 and v2, the dataset corresponds to a map of SOC concentrations for the Tuscany Region produced using a geostatistical approach. Ordinary kriging (Chilès & Delfiner, 2012) coupled with local geostatistics (LGS) was used to map SOC concentration (%) in the topsoil (0-30 cm) at a regional scale in the Tuscany Region (Italy). The map has a 50 m spatial resolution.</p> <p>In version v3, a different approach to applying SOC loss cookbook was used. Particularly, Random Forest regression algorithm with numerous spatial covariates was applied for mapping SOC content (%) in the topsoil (0-30 cm) at regional scale in Tuscany Region (Italy). The map has a 100 m spatial resolution.</p>
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