Assessing diversity responses for sustainable landscape management: urban-rural gradient in Düzce

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dc.contributor.authorDogan, Tuba Gul
dc.contributor.authorEroglu, Engin
dc.date.accessioned2026-07-01T11:39:27Z
dc.date.available2026-07-01T11:39:27Z
dc.date.issued2025
dc.departmentDüzce Üniversitesi
dc.description.abstractUrbanization substantially restructures landscape composition, yet fine-scale patterns of vascular plant diversity along urban-natural gradients remain insufficiently examined, particularly in ecologically heterogeneous, rapidly transforming Anatolian cities. This study explores floristic diversity across an urban-rural continuum in D & uuml;zce, a mid-sized city in the Western Black Sea region of Turkey, using a stratified design encompassing 397 vegetation plots across five ecologically informed transects. Each transect captured distinct land-use and topographic transitions-including forest interfaces, industrial zones, major roads, elevational shifts, and riparian corridors. Shannon diversity (H ') analyses revealed consistent declines in transitional areas, in contrast to elevated and stable diversity in forests, riparian margins, and steep slopes. Unexpectedly high diversity was also recorded in select urban sites, influenced by habitat mosaics and microclimatic variability. Species composition was dominated by disturbance-tolerant, cosmopolitan taxa such as Festuca rubra, Cynodon dactylon, and Agrostis stolonifera, reflecting strong ecological filtering across the urban matrix. Additionally, the persistent occurrence of native trees such as Tilia tomentosa across both urban and natural zones suggests the functional adaptability of certain mesophytic species to diverse urban contexts, while Fagus orientalis remained confined to interior forest sections, indicating sensitivity to fragmentation and disturbance.
dc.description.sponsorshipTUEBITAK [124O656] -- This study is supported by 124O656 'The Influence of Environmental Variables on the Distribution and Prediction of Urban Flora Supported by Nonlinear Regression Models and Machine Learning' Project (TUEBITAK 1002-A) . We would like to thank TUEB & Idot;TAK, project menagers and teams: TUEB & Idot;TAK 2237-Determination of Biological Diversity Based on Species, Taxonomic, Functional, and Structural Characteristics. TUEB & Idot;TAK 2237-Nature-Science-Based Exploratory Data Analysis and Data Visualization. This article is derived from the doctoral dissertation of the first author (Tuba Guel Do & gbreve;an) , conducted at Duezce University, Department of Landscape Architecture under the supervision of Prof. Dr. Engin Ero & gbreve;lu.
dc.identifier.doi10.30955/gnj.07747
dc.identifier.issn1790-7632
dc.identifier.issue9
dc.identifier.scopus2-s2.0-105024227472
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.30955/gnj.07747
dc.identifier.urihttps://hdl.handle.net/20.500.12684/23291
dc.identifier.volume27
dc.identifier.wosWOS:001622039900004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGlobal Network Environmental Science & Technology
dc.relation.ispartofGlobal Nest Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20260623
dc.subjectLandscape Heterogeneity
dc.subjectUrban Ecological Gradients
dc.subjectVegetation Dynamics
dc.titleAssessing diversity responses for sustainable landscape management: urban-rural gradient in Düzce
dc.typeArticle

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