<rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
  <rdf:Description rdf:about="https://doi.org/10.1016/j.jclepro.2024.140878">
    <dct:isReferencedBy>OPENAIRE</dct:isReferencedBy>
    <dct:isReferencedBy>OpenAire</dct:isReferencedBy>
    <dct:isReferencedBy>Recolector de Ciencia Abierta, RECOLECTA</dct:isReferencedBy>
    <dct:isReferencedBy>ZENODO</dct:isReferencedBy>
    <dct:isReferencedBy>DIGITAL.CSIC</dct:isReferencedBy>
    <dct:isReferencedBy>Crossref</dct:isReferencedBy>
    <dct:isPartOf>Journal of Cleaner Production</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2024-01-30</dct:created>
    <dc:description>Open AccessPeer reviewed </dc:description>
    <dc:description>Open AccessPeer reviewed This work is a part of the project &#931;OMMIT: Sustainable management of soil organic matter to mitigate trade-offs between C sequestration and nitrous oxide, methane, and nitrate losses that received funding from the EJP SOIL (grant agreement ID: 862695) </dc:description>
    <dc:description>Open AccessPeer reviewed This work is a part of the project &#931;OMMIT: Sustainable management of soil organic matter to mitigate trade-offs between C sequestration and nitrous oxide, methane, and nitrate losses that received funding from the EJP SOIL (grant agreement ID: 862695) This study introduces a trade-off evaluation system, the &#931;ommit index, which considers four components: crop yield, soil carbon stock changes, direct and indirect nitrous oxide emissions, and nitrate-nitrogen leaching across alternative agronomic case scenarios, i.e., combinations of management practices within specific pedo-climatic conditions. The four trade-off components have been estimated by combining standard equations and emission factors from the Guidelines for National Greenhouse Gas Inventories, complemented with Grey Water Footprint accounting Guidelines and other meta-analyses. The &#931;ommit index has been developed using a harmonised dataset of &#8764;1.8 million agronomic case scenarios, leveraging fuzzy logic to aggregate the trade-off components into a value ranging from 0 (bad) to 1 (good). It has been tested under three narratives reflecting stakeholders' sustainability priorities (young farmers, agrochemical companies, EU Common Agricultural Policy paying agency), using alternative weighting schemes derived from expert opinion. Adding organic matter input, intermediate N fertilisation (50&#8211;150 kg ha&#8722;1), no-tillage, winter cereal cultivation, and irrigation for summer cereals have consistently achieved higher performance across all narratives. When assigning a higher weight to soil carbon stock changes, a broader range of &#931;ommit index values emerged, while assigning higher importance to crop yield has led to a narrower evaluation. We openly release the dataset of agronomic case scenarios, along with the scripts to replicate the methodology and an interactive dashboard to inspect the results. These resources are meant to be used by different stakeholders (e.g., policymakers, Common Agricultural Policy payment agencies, farms, agrochemical industry) as a complement to the Intergovernmental Panel on Climate Change methodology to improve current understanding and awareness of environmental trade-offs and synergies in agricultural management </dc:description>
    <dc:subject>N2O emissions</dc:subject>
    <dc:subject>Agro-environmental trade-offs analysis</dc:subject>
    <dc:subject>Fuzzy-based composite index</dc:subject>
    <dc:subject>NO3&#8211;N leaching</dc:subject>
    <dc:subject>Experts' elicitation</dc:subject>
    <dc:subject>Crop yield</dc:subject>
    <dc:subject>SOC</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-0645-8576"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0001-8512-2637"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-0929-4204"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-1638-3566"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0001-8381-2626"/>
    <dc:creator>CALONE, ROBERTA, Fiore, Angela, Pellis, Guido, Cayuela, Maria Luz, Mongiano, Gabriele, Lagomarsino, Alessandra, BREGAGLIO, SIMONE, </dc:creator>
    <dc:date>2024-02-01</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>Open AccessPeer reviewed </dct:abstract>
    <dct:abstract>Open AccessPeer reviewed This work is a part of the project &#931;OMMIT: Sustainable management of soil organic matter to mitigate trade-offs between C sequestration and nitrous oxide, methane, and nitrate losses that received funding from the EJP SOIL (grant agreement ID: 862695) </dct:abstract>
    <dct:abstract>Open AccessPeer reviewed This work is a part of the project &#931;OMMIT: Sustainable management of soil organic matter to mitigate trade-offs between C sequestration and nitrous oxide, methane, and nitrate losses that received funding from the EJP SOIL (grant agreement ID: 862695) This study introduces a trade-off evaluation system, the &#931;ommit index, which considers four components: crop yield, soil carbon stock changes, direct and indirect nitrous oxide emissions, and nitrate-nitrogen leaching across alternative agronomic case scenarios, i.e., combinations of management practices within specific pedo-climatic conditions. The four trade-off components have been estimated by combining standard equations and emission factors from the Guidelines for National Greenhouse Gas Inventories, complemented with Grey Water Footprint accounting Guidelines and other meta-analyses. The &#931;ommit index has been developed using a harmonised dataset of &#8764;1.8 million agronomic case scenarios, leveraging fuzzy logic to aggregate the trade-off components into a value ranging from 0 (bad) to 1 (good). It has been tested under three narratives reflecting stakeholders' sustainability priorities (young farmers, agrochemical companies, EU Common Agricultural Policy paying agency), using alternative weighting schemes derived from expert opinion. Adding organic matter input, intermediate N fertilisation (50&#8211;150 kg ha&#8722;1), no-tillage, winter cereal cultivation, and irrigation for summer cereals have consistently achieved higher performance across all narratives. When assigning a higher weight to soil carbon stock changes, a broader range of &#931;ommit index values emerged, while assigning higher importance to crop yield has led to a narrower evaluation. We openly release the dataset of agronomic case scenarios, along with the scripts to replicate the methodology and an interactive dashboard to inspect the results. These resources are meant to be used by different stakeholders (e.g., policymakers, Common Agricultural Policy payment agencies, farms, agrochemical industry) as a complement to the Intergovernmental Panel on Climate Change methodology to improve current understanding and awareness of environmental trade-offs and synergies in agricultural management </dct:abstract>
    <dc:title>A fuzzy logic evaluation of synergies and trade-offs between agricultural production and climate change mitigation</dc:title>
    <dc:identifier>10.1016/j.jclepro.2024.140878</dc:identifier>
    <dct:references>https://doi.org/10.1016/j.jclepro.2024.140878</dct:references>
    <dct:relation>862695</dct:relation>
  </rdf:Description>
</rdf:RDF>