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Fig. 7 in Distributions and Variations of Two Estuarine Species of Composetia (Annelida: Nereididae) in the Ryukyu Islands, Southern Japan, with a New Record of Composetia tokashikiensis from Thailand

appsOther research productkeyboard_double_arrow_right Image 01 Jan 2020Publisher:Zenodo
Authors: Sato, Masanori; Ebihara, Takumi; Satake, Kiyoshi; Kojima, Shigeaki; Fukumori, Hiroaki; Angsupanich, Saowapa;

doi: 10.5281/zenodo.4584057 , 10.5281/zenodo.4584058

Fig. 7 in Distributions and Variations of Two Estuarine Species of Composetia (Annelida: Nereididae) in the Ryukyu Islands, Southern Japan, with a New Record of Composetia tokashikiensis from Thailand

Abstract

Fig. 7. Geographical variation in the number of anterior chaetigers of two species of Composetia collected from 10 localities in the middle and southern Ryukyu Islands, southern Japan. Average and SD bar are shown in each locality. The number on each datum indicates sample size. The localities are arranged from north to south. Abbreviations of localities are the same as in Fig. 6. *Difference of mean numbers between the sympatric populations of C. kumensis and C. tokashikiensis was significant (Mann–Whitney Utest, P=0.0016).

Published as part of Sato, Masanori, Ebihara, Takumi, Satake, Kiyoshi, Kojima, Shigeaki, Fukumori, Hiroaki & Angsupanich, Saowapa, 2020, Distributions and Variations of Two Estuarine Species of Composetia (Annelida: Nereididae) in the Ryukyu Islands, Southern Japan, with a New Record of Composetia tokashikiensis from Thailand, pp. 25-38 in Species Diversity 25 (1) on page 33, DOI: 10.12782/specdiv.25.25, http://zenodo.org/record/4584042

Related Organizations
Keywords

Phyllodocida, Annelida, Animalia, Polychaeta, Biodiversity, Nereididae, Composetia, Taxonomy

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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