<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/10.1111/j.1365-2486.2012.02689.x">
    <dct:isReferencedBy>IMPACT4SOIL</dct:isReferencedBy>
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    <dct:isPartOf>Global Change Biology</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2012-03-08</dct:created>
    <dc:description>Abstract&lt;p&gt;Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project&#65506;&#65408;&#65424;scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land&#65506;&#65408;&#65424;based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.&lt;/p&gt;</dc:description>
    <dc:subject>land use change</dc:subject>
    <dc:subject>Environmental Impact Assessment</dc:subject>
    <dc:subject>550</dc:subject>
    <dc:subject>ecosystem model</dc:subject>
    <dc:subject>Carbon Sequestration Science</dc:subject>
    <dc:subject>01 natural sciences</dc:subject>
    <dc:subject>7. Clean energy</dc:subject>
    <dc:subject>upland grassland</dc:subject>
    <dc:subject>soil</dc:subject>
    <dc:subject>stock change</dc:subject>
    <dc:subject>12. Responsible consumption</dc:subject>
    <dc:subject>11. Sustainability</dc:subject>
    <dc:subject>forest biomass</dc:subject>
    <dc:subject>Environmental assessment and monitoring</dc:subject>
    <dc:subject>soil carbon</dc:subject>
    <dc:subject>organic-matter</dc:subject>
    <dc:subject>agriculture</dc:subject>
    <dc:subject>0105 earth and related environmental sciences</dc:subject>
    <dc:subject>2. Zero hunger</dc:subject>
    <dc:subject>model</dc:subject>
    <dc:subject>Ecology</dc:subject>
    <dc:subject>land management</dc:subject>
    <dc:subject>assimilated carbon</dc:subject>
    <dc:subject>land use</dc:subject>
    <dc:subject>04 agricultural and veterinary sciences</dc:subject>
    <dc:subject>15. Life on land</dc:subject>
    <dc:subject>long-term experiments</dc:subject>
    <dc:subject>southern brazil</dc:subject>
    <dc:subject>monitoring</dc:subject>
    <dc:subject>high temporal resolution</dc:subject>
    <dc:subject>13. Climate action</dc:subject>
    <dc:subject>0401 agriculture, forestry, and fisheries</dc:subject>
    <dc:subject>biodiversity conservation</dc:subject>
    <dc:subject>environment</dc:subject>
    <dc:subject>Environmental Sciences</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0001-6573-0416"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-7791-4703"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-3784-1124"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-5143-5819"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-3648-9859"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-1899-7446"/>
    <dc:creator rdf:resource="https://orcid.org/0000-0003-0728-8839"/>
    <dc:creator>Giuliana Zanchi, Tapan Kumar Adhya, Meine van Noordwijk, Geraldine Newton-Cross, Len Kryzanowski, Jessica Bellarby, Pete Smith, Christian A. Davies, Niall P. McNamara, David S. Powlson, Akira Kirton, Annette Cowie, Robert M. Boddey, Daniel Richter, Duncan Eggar, Judith Stuart, Stephen M. Ogle, Mark T. van Wijk, Mark T. van Wijk, Ademola K. Braimoh, Neil Bird, Sarah Davis, </dc:creator>
    <dc:date>2012-04-09</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>Abstract&lt;p&gt;Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project&#65506;&#65408;&#65424;scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land&#65506;&#65408;&#65424;based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.&lt;/p&gt;</dct:abstract>
    <dc:title>Towards An Integrated Global Framework To Assess The Impacts Of Land Use And Management Change On Soil Carbon: Current Capability And Future Vision</dc:title>
    <dc:identifier>10.1111/j.1365-2486.2012.02689.x</dc:identifier>
    <dct:references>https://doi.org/10.1111/j.1365-2486.2012.02689.x</dct:references>
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