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      Detailed global modelling of soil organic carbon in cropland, grassland and forest soils

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      PLoS ONE
      Public Library of Science

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          Abstract

          Assessments of the global carbon (C) cycle typically rely on simplified models which consider large areas as homogeneous in terms of the response of soils to land use or consider very broad land classes. For example, “cropland” is typically modelled as an aggregation of distinct practices and individual crops over large regions. Here, we use the process-based Rothamsted soil Carbon Model (RothC model), which has a history of being successfully applied at a global scale, to calculate attainable SOC stocks and C mineralization rates for each of c. 17,000 regions (combination of soil type and texture, climate type, initial land use and country) in the World, under near-past climate conditions. We considered 28 individual crops and, for each, multiple production practices, plus 16 forest types and 1 grassland class (total of 80 classes). We find that conversion to cropland can result in SOC increases, particularly when the soil remains covered with crop residues (an average gain of 12 t C/ha) or using irrigation (4 t C/ha), which are mutually reinforcing effects. Attainable SOC stocks vary significantly depending on the land use class, particularly for cropland. Common aggregations in global modelling of a single agricultural class would be inaccurate representations of these results. Attainable SOC stocks obtained here were compared to long-term experiment data and are well aligned with the literature. Our results provide a regional and detailed understanding of C sequestration that will also enable better greenhouse gas reporting at national level as alternatives to IPCC tier 2 defaults.

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          The Monte Carlo Method

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            A model of nitrous oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity

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              • Record: found
              • Abstract: not found
              • Article: not found

              Limited potential of no-till agriculture for climate change mitigation

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 September 2019
                2019
                : 14
                : 9
                : e0222604
                Affiliations
                [001]MARETEC–Marine, Environment and Technology Centre, LARSyS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
                Oak Ridge National Laboratory, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6558-0331
                http://orcid.org/0000-0001-9915-6264
                Article
                PONE-D-19-06596
                10.1371/journal.pone.0222604
                6752864
                31536571
                17665e34-41d3-4fef-a09e-d6796bdea3d0
                © 2019 Morais et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 March 2019
                : 3 September 2019
                Page count
                Figures: 6, Tables: 1, Pages: 27
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: UID/EEA/50009/2019
                Funded by: funder-id http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: SusAn/0001/2016
                Funded by: funder-id http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: SFRH/BD/115407/2016
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: SFRH/BPD/111730/2015
                Award Recipient :
                This work was supported by FCT/MCTES (PIDDAC) through project UID/EEA/50009/2019 and by project “Animal Future - Steering Animal Production Systems towards Sustainable Future", funded by the Fundação para a Ciência e Tecnologia (SusAn/0001/2016). T.G. Morais was supported by grant SFRH/BD/115407/2016 and R.F.M. Teixeira by grant SFRH/BPD/111730/2015 from Fundação para a Ciência e Tecnologia.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Agricultural Soil Science
                Ecology and Environmental Sciences
                Soil Science
                Agricultural Soil Science
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant Communities
                Grasslands
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant Communities
                Grasslands
                Ecology and Environmental Sciences
                Terrestrial Environments
                Grasslands
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Biology and Life Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Forests
                Ecology and Environmental Sciences
                Terrestrial Environments
                Forests
                Ecology and Environmental Sciences
                Soil Science
                Soil Mineralization
                Biology and Life Sciences
                Agriculture
                Agricultural Methods
                Agricultural Irrigation
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Maize
                Research and Analysis Methods
                Model Organisms
                Maize
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Maize
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Maize
                Biology and Life Sciences
                Agriculture
                Agrochemicals
                Fertilizers
                Custom metadata
                Data are available on Zenodo ( http://doi.org/10.5281/zenodo.3387665).

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