

FOLLOWUS
1.College of Life Science and Technology/Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China
2.Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
3.College of Fisheries, Jimei University, Xiamen 361000, China
4.Xinjiang Production and Construction Corps Agriculture and Rural Bureau, Urumqi 830000, China
shengao@taru.edu.cn
Received:19 December 2023,
Published:01 July 2025
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WANG Chengxin,YE Shaowen,XIA Liwei,et al.Identification of Schizothorax species in Yarkand River, (Xinjiang, China) based on otolith morphology[J].Journal of Oceanology and Limnology,2025,43(04):1298-1312.
WANG Chengxin,YE Shaowen,XIA Liwei,et al.Identification of Schizothorax species in Yarkand River, (Xinjiang, China) based on otolith morphology[J].Journal of Oceanology and Limnology,2025,43(04):1298-1312. DOI: 10.1007/s00343-024-3276-9.
This study explored the morphological characteristics and differences of the otoliths in three native species
Schizothorax
biddulphi
S
.
eurystomus
and
S
.
curvifrons
in the Yarkand River of the Tarim River
Xinjiang
China. A total of 93 specimens (27
S
.
biddulphi
39
S
.
eurystomus
and 27
S
.
curvifrons
) were analyzed using six basic otolith morphological parameters (OA
R
max
R
min
OP
OL
OW) to derive six factors (
F
1
F
2
F
3
F
4
F
5
F
6
) and seven indices (RO
FF
CI
RE
EL
RR
AR) for morphological assessment. A discriminant analysis incorporating 77 Fourier coefficients of the otoliths revealed distinct morphological differences among the species. A significant power function relationship between otolith morphology and standard length was observed across the species
with
R
2
values ranging from 0.409 to 0.749. Principal component analysis (PCA) of 7 traditional otolith morphological indicators explained 81.243% of the variance
yielding an overall species discrimination rate of 81.65%. Further PCA of 77 Fourier harmonic values enhanced the discrimination accuracy
with the first 3 components accounting for 77.49% of the total variation and an improved discrimination rate of 100.00%. Cluster analysis resulted in the grouping of
S
.
biddulphi
and
S
.
curvifrons
together and revealed their association with
S
.
eurystomus
indicating notable morphological distinctions. Both otolith shape indices and elliptical Fourier analysis have been useful in distinguishing the phenotypic units of different fish species. In this study
otolith morphology was applied for the first time to identify
Schizothorax
species
providing an in-depth description of species distribution and evolutionary history. This study provides a reference for the identification and systematic classification of
Schizothorax
species and a scientific basis for formulating effective species protection measures
for promoting the sustainable management of species and important habitats.
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