Response of Biogenic Silica Production in Lake Baikal and Uranium Weathering Intensity in the Catchment Area to Global Climate Changes

Murakami, Takahiro; Katsuta, Nagayoshi; Takamatsu, Takejiro; Takano, Masao; Yamamoto, Koshi; Nakamura, Toshio; Kawai, Takayoshi

doi:10.5772/28872

Cited by 1 publication

(6 citation statements)

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“…The records of bioSi and uranium reflect changes in temperature around Lake Baikal and changes in runoff regime of the Selenge River, respectively (Murakami et al ., ). Shaded bands represent glacial periods during interglacial and interstadial ( MIS 3) periods (Colman et al ., ; Murakami et al ., ,b). The solid line shows the median value of effective population size; the dashed lines show the upper and lower 95% highest posterior density values.…”

Section: Resultsmentioning

confidence: 99%

“…(a) Biogenic silica (bioSi) (Colman et al ., ) and (b) uranium (Murakami et al ., ,b) in bulk sediment of the Selenge River in Lake Baikal. (c) Bayesian skyline plot of Ephoron nigridorsum in the Selenge River basin based on the mitochondrial COI gene.…”

Section: Resultsmentioning

confidence: 99%

“…We used data obtained in previous studies (Colman et al ., ; Murakami et al ., ,b) that had analysed the biogenic silica (bioSi) and uranium in sediment core BDP93‐2 in Lake Baikal. The bioSi and uranium are believed to reflect changes in temperature around Lake Baikal and changes in runoff regime of the Selenge River, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, we used boundaries between the glacial and interglacial periods following Murakami et al . (,b), i.e., MIS1‐7 defined by Colman et al . (), who compared the bioSi and SPECMAP δ 18 O curves of the marine oxygen isotope record (Imbrie et al ., ; Martinson et al ., ).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we performed genetic analyses to examine historical population dynamics of E. nigridorsum from the late Pleistocene to the present day undergoing egg diapause in the Mongolian Selenge River basin using historical climate data derived from sediment samples of Lake Baikal (Colman et al ., ; Murakami et al ., ,b).…”

Section: Introductionmentioning

confidence: 99%

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Post‐glacial distribution of a Mongolian mayfly inferred from population genetic analysis

2016

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Summary The polymitarcyid burrowing mayfly, Ephoron nigridorsum, adapts to extreme continental climate by undergoing egg diapause during the long and cold winter and rapid growth during the short and hot summer. We performed genetic analyses of the mitochondrial COI gene of E. nigridorsum from 10 local populations of the Selenge River basin in Mongolia to examine the historical population dynamics during the last glacial period. We observed high overall genetic diversity and high intra‐population variation. However, we could find no geographic cluster of haplotypes and no correlation between genetic differentiation and geographic distance within the river basin. The long‐chain haplotype network and multimodal mismatch distribution implied that the population size has remained constant for a long period of time. The Bayesian skyline plot indicated an expansion of the population size during cooling through the last glacial period and a stable population size from the post‐glacial period to the present day. Our results suggest that the Selenge River basin provided a comparatively stable habitat for E. nigridorsum during the last glacial period when the decrease in mean air temperature in summer (1–7 °C colder) is smaller than that of winter temperature (7–15 °C colder) according to botanical records. The mayfly has been probably capable of adapting to a more extreme climate – i.e. with a larger temperature difference between winter and summer – during the last glacial period by undergoing egg diapause, as montane and arctic species of cold‐adapted aquatic insects have expanded their distributions and population sizes during this period.

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Section: Resultsmentioning

confidence: 99%