2014
DOI: 10.1186/1471-2148-14-41
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A strong ‘filter’ effect of the East China Sea land bridge for East Asia’s temperate plant species: inferences from molecular phylogeography and ecological niche modelling of Platycrater arguta(Hydrangeaceae)

Abstract: BackgroundIn East Asia, an increasing number of studies on temperate forest tree species find evidence for migration and gene exchange across the East China Sea (ECS) land bridge up until the last glacial maximum (LGM). However, it is less clear when and how lineages diverged in this region, whether in full isolation or in the face of post-divergence gene flow. Here, we investigate the effects of Quaternary changes in climate and sea level on the evolutionary and demographic history of Platycrater arguta, a ra… Show more

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Cited by 54 publications
(74 citation statements)
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References 95 publications
(118 reference statements)
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“…The East China Sea Land Bridge [90, 91] may have allowed dispersal and gene exchange between woodland species of East China, Korea and Japan. Examples such as Cercidiphyllum japonicum [88] and Kalopanax septemlobus [89] have been documented.…”
Section: Discussionmentioning
confidence: 99%
“…The East China Sea Land Bridge [90, 91] may have allowed dispersal and gene exchange between woodland species of East China, Korea and Japan. Examples such as Cercidiphyllum japonicum [88] and Kalopanax septemlobus [89] have been documented.…”
Section: Discussionmentioning
confidence: 99%
“…Statistical phylogeographic analyses of R. weyrichii populations using model‐based approaches revealed that history of population isolation between islands is likely to have a considerable influence on population survival on each island, even if the islands were sometimes connected geographically during climatic oscillations (Qi et al., 2014). Especially, differences in survival history due to the suitability of isolated habitats are reflected in the current effective population size on each island.…”
Section: Resultsmentioning
confidence: 99%
“…Validation of the distribution model was performed, using default settings with 100 replicates of cross‐validation procedures, with 25% of the data used for model testing, implemented in Maxent v. 3.3.3e (Phillips et al., 2006). Five bioclimatic variables (annual mean temperature, mean temperature in the driest quarter, annual precipitation, precipitation in the wettest quarter, and precipitation in the driest quarter), which showed high values of area under curve (AUC) and are critically important for temperate species that are distributed in humid and warm environments, were chosen for inclusion in the distribution model, as they have been used in ecological niche modeling for other species with similar distribution ranges (Qi, Yuan, Comes, Sakaguchi, & Qiu, 2014; Worth et al., 2013). …”
Section: Methodsmentioning
confidence: 99%
“…Species mainly distributed in the subtropical region may also show different patterns compare to higher-latitudes species. Qi et al (2014) concluded that tall canopy trees with long generation times, abundant seeds and large effective population sizes tended to disperse across the ECS. However, understory plant species may be fragmented even when the land bridge is exposed (Table 1) because population recovery and colonization of those species in the forest interior may be negatively affected by those exterior species (Eriksson and Ehrl en, 1997;Suzuki et al, 2002).…”
Section: Discussionmentioning
confidence: 98%
“…There are also closely related species that are hypothesized to have dispersed across the KS, e.g., Picea jezoensis (Aizawa et al, 2007), Kalopanax septemlobus , and Neolitsea sericea (Lee et al, 2013). However, the ECS could also have blocked the gene flow of many species, such as Croomia japonica (Li et al, 2008), Kirengeshoma palmate (Qiu et al, 2009b), Ligularia hodgsonii (Wang et al, 2013), and Platycrater arguta (Qiu et al, 2009a;Qi et al, 2014). The KS could similarly have been a barrier and thereby responsible for allopatric speciation of Kirengeshoma palmata, a sister species of K. koreana (Qiu et al, 2009b).…”
Section: Introductionmentioning
confidence: 96%