Macro-Morphological and Ecological Variation in Rosa sericea Complex

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Taxon delimitation and identification are important in many areas of biology, especially in taxonomy and conservation. Taxonomic treatment is required to establish and justify recommendations in conservation biology for the group being considered. Imperfect and controversial taxonomy can undermine conservation assessment. We studied 71 populations; 665 individuals corresponding to the morphology of the Rosa sericea complex (including six taxa, one of which has extremely narrow distributions) were collected from sympatric, parapatric, and allopatric populations distributed in China. This study aims to investigate whether the complex species are macromorpho-logically different species and evaluate the rare taxa of the complex for conservation priority. The morphological characters and principal component analysis (PCA) of the R. sericea complex showed that the complex species have overlapping characters but can distinguish morphologically. The species of R. sericea complex systematics status based on previous DNA sequencing is controversial. The ecological habitat’s current morphological characters only delimit the R. morrisonensis (in Taiwan). To evade mistakes in species conservation, we recommend that taxonomical knowledge be needed to ensure success in protecting target species. Thus, the complementarity of systemic and conservation assurance makes conservation actions more necessary for the complex’s rare taxa. The ecological niche modelling (ENM) results showed that habitats of these conspecific taxa would be shrunken. With the presence of snapshots in time, the geography of taxa might decrease rapidly in representative entirely of the Geographic space (G-space) and Environmental space (E-space) that such taxa are bright to inhabit. So far, the significant inferences meant for the niche occupy the most incredible comparative research, taking the impermanent nature of taxa distributions and undertaking that such species are at a state of stability. If the artificially identified species (rarely distributed) are based on morphological identification, they must be conserved. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

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https://rdlopen.rawdatalibrary.net/r/ebyu/12850Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.3390/agronomy12051078Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorUllah, Fazal
dc.contributor.authorGao, Yundong
dc.contributor.authorSari, İdris
dc.contributor.authorJiao, Ruifang
dc.contributor.authorSaqib, Saddam
dc.contributor.authorGao, Xinfen
dc.date.accessioned2026-10-18T20:27:42.806388171Z
dc.date.available2026-10-18T20:27:42.806388171Z
dc.date.issued2022
dc.description.abstractTaxon delimitation and identification are important in many areas of biology, especially in taxonomy and conservation. Taxonomic treatment is required to establish and justify recommendations in conservation biology for the group being considered. Imperfect and controversial taxonomy can undermine conservation assessment. We studied 71 populations; 665 individuals corresponding to the morphology of the Rosa sericea complex (including six taxa, one of which has extremely narrow distributions) were collected from sympatric, parapatric, and allopatric populations distributed in China. This study aims to investigate whether the complex species are macromorpho-logically different species and evaluate the rare taxa of the complex for conservation priority. The morphological characters and principal component analysis (PCA) of the R. sericea complex showed that the complex species have overlapping characters but can distinguish morphologically. The species of R. sericea complex systematics status based on previous DNA sequencing is controversial. The ecological habitat’s current morphological characters only delimit the R. morrisonensis (in Taiwan). To evade mistakes in species conservation, we recommend that taxonomical knowledge be needed to ensure success in protecting target species. Thus, the complementarity of systemic and conservation assurance makes conservation actions more necessary for the complex’s rare taxa. The ecological niche modelling (ENM) results showed that habitats of these conspecific taxa would be shrunken. With the presence of snapshots in time, the geography of taxa might decrease rapidly in representative entirely of the Geographic space (G-space) and Environmental space (E-space) that such taxa are bright to inhabit. So far, the significant inferences meant for the niche occupy the most incredible comparative research, taking the impermanent nature of taxa distributions and undertaking that such species are at a state of stability. If the artificially identified species (rarely distributed) are based on morphological identification, they must be conserved. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.sponsorshipFunding: This research was supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (2019QZKK0502) and the National Natural Sciences Foundation of China (Project No. 31670192), and National Natural Science Foundation of China 32171605. We are thankful to the Chinese Government Scholarship Program (CSC No. 2018GXZ017484).
dc.identifier.doi10.3390/agronomy12051078
dc.identifier.eissn2073-4395
dc.identifier.issn2073-4395
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85129648158
dc.identifier.startpage1078
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/12850
dc.identifier.volume12
dc.identifier.wosWOS:000804868000001
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofAgronomy
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectconservation
dc.subjectecology
dc.subjectfuture climate change
dc.subjectspecies boundaries
dc.subjectspecies concept
dc.subjecttaxonomic relationship
dc.titleMacro-Morphological and Ecological Variation in Rosa sericea Complex
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus24
rdl.citation.wos22
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)