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dc.contributorHassan, Sawsanen_US
dc.creatorLouhaichi, Mouniren_US
dc.date2019-12-31en_US
dc.date.accessioned2018-05-18T09:26:49Z
dc.date.available2018-05-18T09:26:49Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationMounir Louhaichi, Sawsan Hassan. (31/12/2019). Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria [Crop Yields in Field Experiments].en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/8232
dc.description.abstractThe shrub fodder component should be measured to avoid underestimation of the carrying capacity of rangelands. In this study, we present a fast, reliable and non-destructive method to estimate canopy vegetation cover to obtain aboveground shrub biomass. The experiment was conducted under field conditions in northwest Syria, where seedlings of seven shrub species were monitored for one year: Atriplex leucoclada (Moq.) Boiss., A. halimus L., A. lentiformis (Torr.) S. Watson, A. canescens (Pursh) Nutt., A. nummularia Lindl., Salsola vermiculata L. and Haloxylon aphyllum (C.A. Meyer) Bunge. The experimental layout was a randomized complete block design with five replications. We explored the effectiveness of digital vegetation charting technique (DVCT) for estimating shrub canopy cover. Aboveground shrub biomass was clipped to estimate the dry matter (DM) weight per species and to determine its relationship to canopy cover. In this study, an estimate of greenness (percent green vegetation cover) was extracted by way of greenness algorithms. Simple linear regressions between vegetation cover and biomass for 210 plots were performed.en_US
dc.formatCSVen_US
dc.languageenen_US
dc.publisherInternational Center for Agricultural Research in the Dry Areas (ICARDA)en_US
dc.relationMounir Louhaichi, Sawsan Hassan, Kathryn Clifton, Douglas E. Johnson. (7/10/2018). A reliable and non-destructive method for estimating forage shrub cover and biomass in arid environments using digital vegetation charting technique. Agroforestry Systems, 92(5), pp. 1341-1352.en_US
dc.relation.urihttps://hdl.handle.net/20.500.11766/7799en_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectvegmeasureen_US
dc.subjectnon-destructive techniqueen_US
dc.subjectvegetation coveren_US
dc.subjectlife on landen_US
dc.titleEstimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syriaen_US
dc.typeDataseten_US
cg.creator.idLouhaichi, Mounir: 0000-0002-4543-7631en_US
cg.creator.idHassan, Sawsan: 0000-0002-5057-8957en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocbiomassen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Livestock Agri-Food Systems - LAFSen_US
cg.contributor.funderInternational Livestock Research Institute - ILRIen_US
cg.contributor.projectCGIAR Research Program on Livestock Agri-Food Systemsen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-date2025-12-31en_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.countrySYen_US
cg.coverage.start-date2009-11-18en_US
cg.coverage.end-date2010-10-28en_US
cg.contactMounir.Louhaichi@oregonstate.eduen_US
dc.identifier.statusLimited accessen_US
mel.project.openhttps://mel.cgiar.org/projects/237en_US
mel.sub-typeCrop Yields in Field Experimentsen_US


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