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dc.contributor.authorBoke-Olén, N.
dc.contributor.authorLehsten, V.
dc.contributor.authorAbdi, A.M.
dc.contributor.authorArdö, J.
dc.contributor.authorKhatir, A.A.
dc.date.accessioned2024-02-22T00:26:59Z
dc.date.available2024-02-22T00:26:59Z
dc.date.issued2018-11
dc.identifier.citationBoke-Olén, N., Lehsten, V., Abdi, A. M., Ardö, J., & Khatir, A. A. (2018). Estimating grazing potentials in Sudan using daily carbon allocation in dynamic vegetation model. Rangeland Ecology & Management, 71(6), 792-797.
dc.identifier.issn1550-7424
dc.identifier.doi10.1016/j.rama.2018.06.006
dc.identifier.urihttp://hdl.handle.net/10150/671034
dc.description.abstractLivestock production is important for local food security and as a source of income in sub-Saharan Africa. The human population of the region is expected to double by 2050, and at the same time climate change is predicted to negatively affect grazing resources vital to livestock. Therefore, it is essential to model the potential grazing output of sub-Saharan Africa in both present and future climatic conditions. Standard tools to simulate plant productivity are dynamic vegetation models (DVMs). However, as they typically allocate carbon to plant growth at an annual time step, they have a limited capability to simulate grazing. Here, we present a novel implementation of daily carbon allocation for grasses into the DVM Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) and apply this to study the grazing potential for the Kordofan region in Sudan. The results show a latitudinal split in grazing resources, where the northern parts of Kordofan are unexploited and southern parts are overused. Overall, we found that the modeled grazing potential of Kordofan is 16% higher than the livestock usage reported in the Food and Agricultural Organization of the United Nations, indicating a mitigation potential in the form of a spatial relocation of the herds.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org/
dc.rights© 2018 The Society for Range Management. Published by Elsevier Inc. All rights reserved.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectcarbon
dc.subjectclimate change
dc.subjectgrazing
dc.subjectKordofan
dc.subjectlivestock
dc.subjectLPJ-GUESS
dc.titleEstimating Grazing Potentials in Sudan Using Daily Carbon Allocation in Dynamic Vegetation Model
dc.typeArticle
dc.typetext
dc.identifier.eissn1551-5028
dc.identifier.journalRangeland Ecology & Management
dc.description.collectioninformationThe Rangeland Ecology & Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal Published Version
dc.source.journaltitleRangeland Ecology & Management
dc.source.volume71
dc.source.issue6
dc.source.beginpage792
dc.source.endpage797
refterms.dateFOA2024-02-22T00:26:59Z


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