Multiple linear regression models for the estimation of water flows for forest management and planning in Turkiye

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dc.authorscopusid8837288800en_US
dc.authorscopusid24332739300en_US
dc.authorscopusid36496583300en_US
dc.authorscopusid57200985029en_US
dc.authorwosidDEĞERMENCİ, Ahmet Salih/JFK-4210-2023en_US
dc.authorwosidZengin, Hayati/HGU-4372-2022en_US
dc.contributor.authorZengin, Hayati
dc.contributor.authorOzcan, Mehmet
dc.contributor.authorDegermenci, Ahmet Salih
dc.contributor.authorCitgez, Tarik
dc.date.accessioned2024-08-23T16:03:54Z
dc.date.available2024-08-23T16:03:54Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractWhile there are many factors, including climatology, geography, topography, vegetation and soil, that affect hydrologic processes, understanding the role of forests seems most essential, due to their manageable nature. In this study, a holistic approach was taken, and possible factors affecting streamflow, including tree, sapling, shrub, herb and soil strata, were measured for 29 small catchments/stream basins located in Turkey. Linear regression models were developed in order to estimate water flow (m3 & BULL;ha-1). Several models were suggested for use in practice. These models were based on the data on hand and displayed a sufficient level of explained variance in the dependent variable. Model 5, based on the variables of catchment area (ha), drainage density, ratio of coniferous stand areas in the catchment (%), tree volume (m3 & BULL;ha-1), leaf area index, number of short saplings (number & BULL;ha-1), and topsoil sand rate (%), was recommended for flow estimation, achieving a 0.73 adjR2 value for test data. These variables can be obtained as part of a survey and water managers can use them to estimate water flow of the catchment. The generated models can be used in multiple-use planning of forests, e.g. in adjusting the volume of stands to get optimum benefit from wood and water production. One of the most interesting results and one that was opposite to that documented in the general literature, was the positive correlation between tree volume and flow per hectare, which suggests a strategy of growing older tree stands to enable greater water production.en_US
dc.description.sponsorshipScientific and Technological Research Council of Tuuml;rkiye (TUBITAK) [TOVAG-213O199]en_US
dc.description.sponsorshipAVAILABILITY OF DATA AND MATERIAL The data that support the findings of this study are available from the corresponding author upon request. This work was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK, Project ID: TOVAG-213O199) . The authors would also like to thank the Directors of Duzce Forest Enterprise for their collaboration on the field studies.en_US
dc.identifier.doi10.17159/wsa/2023.v49.i3.4000
dc.identifier.endpage229en_US
dc.identifier.issn0378-4738
dc.identifier.issn1816-7950
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85166651941en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage220en_US
dc.identifier.urihttps://doi.org/10.17159/wsa/2023.v49.i3.4000
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13975
dc.identifier.volume49en_US
dc.identifier.wosWOS:001044363000003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWater Research Commissionen_US
dc.relation.ispartofWater Saen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectflowen_US
dc.subjectforesten_US
dc.subjectrunoff coefficienten_US
dc.subjectsustainabilityen_US
dc.subjectwater yielden_US
dc.subjectLand-Useen_US
dc.subjectTimber Harvesten_US
dc.subjectYielden_US
dc.subjectStreamflowen_US
dc.titleMultiple linear regression models for the estimation of water flows for forest management and planning in Turkiyeen_US
dc.typeArticleen_US

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