Ren Zhu

Dr. Ren Zhu


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 April 2022 in Fishes
Verified
Journal Article
Open access
PDF file
JQJialing Qiao
Jialing Qiao
RZRen Zhu
Ren Zhu
KCKang Chen
Kang Chen
DZDong Zhang
Dong Zhang
Yunzhi YanYunzhi Yan
Yunzhi Yan
DHDekui He
Dekui He
Teleost otoliths provide a pivotal medium for studying changes in population structure and population dynamics of fish. Understanding the otolith-fish size relationship and intraspecies variation in otolith morphology is essential for the accurate assessment and management of fishery resources. In our study, we aimed to estimate the relationships between otolith morphological measurements and fish length, and detect differences in the otolith morphology of planktivorous and benthivorous morphs of Schizopygopsis thermalis in Lake Amdo Tsonak Co on the Qinghai-Tibet Plateau (QTP). Both morphs exhibited strong linear otolith-fish size relationships; otolith morphology was sexually dimorphic in each morph; the morphs differed significantly in otolith shape and size (e.g., posterior side, the region between the posterior and ventral otolith, otolith length, circularity, and surface density). In addition, we found that the differences in otolith morphology between morphs are related to habitat preferences, diet, and growth. Basic data on the biology of S. thermalis are essential for poorly studied Lake Amdo Tsonak Co, and our study emphasizes that intraspecific variation in otolith morphology should be taken into consideration when differentiating stocks, populations, and age classes based on otolith morphology.

13 December 2022 in Biology
Verified
Journal Article
Open access
PDF file
MTMu Tong
Mu Tong
DHDekui He
Dekui He
RZRen Zhu
Ren Zhu
XSXiaoyun Sui
Xiaoyun Sui
YCYifeng Chen
Yifeng Chen
As one of the most sensitive regions to global climate change, Tibet is subject to remarkable changes in biota over the past decades, including endemic fish species. However, no study has attempted to predict the changes in the distribution of Tibetan fishes, leaving a great blank for aquatic conservation in Tibet. Based on the Maximum Entropy model (MaxEnt), this study predicted the changes in the suitable habitats of three endemic fish species, including two species mainly inhabiting the rivers (Glyptosternon maculatum, Oxygymnocypris stewartii) and one species mainly inhabiting lakes (Gymnocypris selincuoensis) in Tibet under two representative concentration pathways (RCP2.6 and RCP8.5) under two future scenarios (2050 and 2090), and explored the impact of the barrier effects of hydropower projects on the suitable habitats of fish. The results showed that under the four scenarios, the net change in the suitable habitats of the G. maculatum was negative (−2.0–−18.8%), while the suitable habitats of the O. stewartii and G. selincuoensis would be expanded, with the net change of 60.0–238.3% and 46.4–56.9%, respectively. Under different scenarios, the suitable habitats of the three species had a tendency to migrate to a higher elevation, and the largest expansion in the range of migration was projected to occur under the 2090-RCP8.5 scenario. In addition, due to the impact of the hydropower projects, the ability of G. maculatum to obtain new suitable habitats from climate change would be reduced by 2.0–8.1%, which was less than the loss induced by climate change (5.5–25.1%), while the suitable habitats of O. stewartii would be reduced by 3.0–9.7%, which was more than the impact of climate change (about 1%). The results of this study have guiding significance for the conservation and management of fish resources diversity in the Yarlung Tsangpo River basin and Siling Co basin of Tibet, and also provide a reference for the coordination and scientific planning of hydropower projects in Tibet.

3 February 2012 in Ichthyological Research
Verified
Journal Article
Closed access
PDF file
Yunzhi YanYunzhi Yan
Yunzhi Yan
RZRen Zhu
Ren Zhu
SHShan He
Shan He
LCLing Chu
Ling Chu
YLYangyang Liang
Yangyang Liang
陈C陈毅凤 Chen
陈毅凤 Chen

1 January 2022 in BioInvasions Records
Verified
Journal Article
Closed access
RZRen Zhu
Ren Zhu
KCKang Chen
Kang Chen
XCXingwei Cai
Xingwei Cai
GLGaojun Li
Gaojun Li
YCYifeng Chen
Yifeng Chen
ZSZhixin Shen
Zhixin Shen

18 March 2021 in Journal of Applied Ichthyology
Verified
Journal Article
Closed access
PDF file
RZRen Zhu
Ren Zhu
DHDekui He
Dekui He
XFXiu Feng
Xiu Feng
WXWen Xiong
Wen Xiong
JTJuan Tao
Juan Tao

19 June 2023 in Journal of Fish Biology
Verified
Journal Article
Closed access
XLXixi Li
Xixi Li
TMTong Mu
Tong Mu
ZWZiwang Wang
Ziwang Wang
JQJianshuo Qian
Jianshuo Qian
RZRen Zhu
Ren Zhu