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dc.contributor.authorDinç, Musa
dc.contributor.authorVatandaşlar, Can
dc.contributor.authorDuman, Ahmet
dc.contributor.authorTüfekçioğlu, Mustafa
dc.contributor.authorKüçük, Mehmet
dc.contributor.authorAçıkgöz Harşit, Canan
dc.contributor.authorTüfekçioğlu, Aydın
dc.date.accessioned2021-03-25T07:13:23Z
dc.date.available2021-03-25T07:13:23Z
dc.date.issued2018en_US
dc.identifier.citationDinç, M., Vatandaşlar, C., Duman, A., Tüfekçioğlu, M., Küçük, M., Açıkgöz Harşit, C., & Tufekcioglu, A. (2018). Estimating Biomass and Carbon Storage of Grasslands Using Very High-Resolution Satellite Images In The Coruh River Basin (Northeastern Turkey). Fresenius Environmental Bulletin. 27, (8), 5509-5519.en_US
dc.identifier.urihttps://hdl.handle.net/11494/2807
dc.descriptionThis study was partially supported by the Coruh River Watershed Rehabilitation Project (2012-2019). The authors would like to thank the project funding agencies General Directorate of Forestry (OGM) and the Japanese International Cooperation Agency's (JICA) managers and staff for their contributions to the work.en_US
dc.description.abstractCoruh River basin predominantly characterized by its vast grasslands and by potential biodiversity richness due to its climatic and topographic variation throughout the basin. Despite its well-known ecological importance, there is not much work conducted in the basin that deals with the estimation of biomass and carbon storage of the grassland. Thus, the aim of this study was to estimate belowground biomass (BGB), aboveground biomass (AGB) and carbon sequestration in the grasslands of 11 sub-basins within the Coruh River Basin using very high-resolution (0.5 m) WorldView-2 satellite imagery and meteorological data. For BGB and AGB estimations, 1196 soil root samples and 49 harvested biomass (wire cage) samples, respectively, were collected from total of 299 sampling plots. The mean AGB and BGB in the sampling plots were estimated to be 1.58 t ha(-1) and 4.02 t ha(-1), respectively. As a result, mean total biomass (TB) calculated as 5.60 t ha(-1) in the entire study areas. The mean TB values showed significant differences among the sub-basins (p<0.05). It was also found that 76% of TB contributed by the belowground while the rest was from the aboveground biomass. In terms of carbon storage, mean aboveground carbon (AGC), belowground carbon (BGC) and total carbon (TC) were calculated to be 0.79, 2.01 and 2.80 t ha(-1), respectively. The results showed that both TB and TC were the highest in Bicakcilar sub-basin while they were the lowest in Tortum sub-basin. In conclusion, the study showed that biomass and carbon storage of the grasslands can be successfully mapped for a large basin by utilizing the remote sensing tools and with the help other ecological factors. Planners and land-owners can use the base-maps of the present study in their decision making processes and their field management, as well.en_US
dc.language.isoengen_US
dc.publisherParlar Scientific Publicationsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGrassland biomassen_US
dc.subjectAboveground biomass (AGB)en_US
dc.subjectBelow-ground biomass (BGB)en_US
dc.subjectCarbon storage; NDVIen_US
dc.subjectCoruh River Basinen_US
dc.titleEstimating biomass and carbon storage of grasslands using very high-resolution satellite images in the coruh river basin (northeastern Turkey)en_US
dc.typearticleen_US
dc.relation.journalFresenius Environmental Bulletinen_US
dc.departmentAÇÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.authorid0000-0002-3350-2897en_US
dc.authorid0000-0002-0954-2581en_US
dc.authorid0000-0003-0835-2839en_US
dc.identifier.volume27en_US
dc.identifier.issue8en_US
dc.identifier.startpage5509en_US
dc.identifier.endpage5519en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorVatandaşlar, Canen_US
dc.contributor.institutionauthorDuman, Ahmet
dc.contributor.institutionauthorTüfekçioğlu, Mustafa
dc.contributor.institutionauthorTüfekçioğlu, Aydın


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