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dc.contributor.authorNyawira, Sylvia Sarahen_US
dc.date.accessioned2020-03-13T16:52:32Zen_US
dc.date.available2020-03-13T16:52:32Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/107769en_US
dc.titleCrop and soil organic matter simulation models – A brief review of their basic features and application in sub-Saharan Africaen_US
cg.subject.ciatLAND USEen_US
cg.subject.ciatMODELINGen_US
cg.subject.ciatSOIL INFORMATIONen_US
cg.subject.ciatSOIL LANDSCAPESen_US
dcterms.abstractOver the past decades, numerous crop-soil models have been developed to represent dynamic processes in cropland systems, including soil organic carbon (SOC) dynamics (Campbell and Paustian, 2015). These models use mathematical equations that determine carbon allocation in the vegetation and biomass and soils to represent biogeochemical processes, such as photosynthesis, respiration and decomposition. Furthermore, a range of crop management practices are represented in most of the models, enabling an assessment of their impacts on SOC in agricultural systems. Although models were initially developed for research purposes, they are increasingly becoming important in many aspects of environmental policies (Manlay et al., 2007). Extensively tested models provide effective tools that can be used in identifying sustainable land management practices across different agroecological conditions. Compared to field experiments, which are time and resource consuming, models are more effective for making predictions and understanding crop and SOC dynamics on large scales and different time scales. However, the choice of the model depends on the ability of the model to simulate key processes in the region of interest. We conducted a survey to identify the features of the commonly used crop-soil models in order to inform the choices for application in sub-Saharan Africa. The survey was administered online to the model developers. In addition, we also conducted a literature search to assess the usage of the different models in different parts of sub-Saharan. In this brief, we provide a basic summary of the information from the survey and literature review.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationNyawira, S.S. (2019). Crop and soil organic matter simulation models – A brief review of their basic features and application in sub-Saharan Africa. Research Brief. International Center for Tropical Agriculture, Nairobi, Kenya. 10 p.en_US
dcterms.extent10 p.en_US
dcterms.issued2019en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherInternational Center for Tropical Agricultureen_US
dcterms.subjectsoilen_US
dcterms.subjectorganic matteren_US
dcterms.subjectsimulationen_US
dcterms.subjectlandscapeen_US
dcterms.subjectphotosynthesisen_US
dcterms.typeBriefen_US
cg.contributor.affiliationAlliance of Bioversity International and CIATen_US
cg.placeKenyaen_US
cg.coverage.regionAfricaen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.creator.identifierSylvia Sarah Nyawira: 0000-0003-4913-1389en_US


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