2017
DOI: 10.1002/spp2.1096
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Analysis of morphological variability in the clam shrimp Eosestheria middendorfii (Crustacea, Spinicaudata) from the Lower Cretaceous of China, and its implications for spinicaudatan taxonomy

Abstract: Unresolved taxonomic issues regarding spinicaudatans, clam shrimps that formed the most abundant faunal element in the lacustrine Barremian to Aptian Yixian Formation, have hampered palaeoecological and evolutionary interpretations of this key fossil group. Here, we analyse morphological variability in East Asian clam‐shrimp taxa by quantifying: (1) size and shape; and (2) ornamental features (radial lirae distances). Intergeneric variability was examined using 51 specimens of various East Asian Mesozoic taxa,… Show more

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Cited by 13 publications
(11 citation statements)
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“…Specimens of the morphologically variable spinicaudatan Eosestheria middendorfii were identified based on ornamental features and shape according to Hethke et al . (). Several exceptionally large clam shrimp of horizon JSG H ( L = 20.6 mm) lack growth‐band crowding, and ornamentation on the last four growth bands differs from the species description in exhibiting coarse reticulation.…”
Section: Resultsmentioning
confidence: 97%
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“…Specimens of the morphologically variable spinicaudatan Eosestheria middendorfii were identified based on ornamental features and shape according to Hethke et al . (). Several exceptionally large clam shrimp of horizon JSG H ( L = 20.6 mm) lack growth‐band crowding, and ornamentation on the last four growth bands differs from the species description in exhibiting coarse reticulation.…”
Section: Resultsmentioning
confidence: 97%
“…In the case of Lake Sihetun, a taxonomic revision demonstrated that five of the ten species reported from the Yixian Formation of the Sihetun area belong to a single species, Eosestheria middendorfii (Hethke et al . ). Excavation JSG yielded no evidence for co‐occurrences of this variable species with any other clam‐shrimp species.…”
Section: Discussionmentioning
confidence: 97%
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“…The two coefficients are independent variables that determine the shape of the outline and are evaluated by using PCA. For Fourier shape analysis, the programs Hangle, Hmatch, and Hcurve were used (Haines and Crampton, 2000;Schneider et al, 2010;Hethke et al, 2018). First, the outlines were transformed into 1000-2000 Cartesian coordinates using the program tpsDig2 (Rohlf, 2017).…”
Section: Methodsmentioning
confidence: 99%