IOCAS-IR

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Formalin-Fixed Fish Larvae Could Be Effectively Identified by DNA Barcodes: A Case Study on Thousands of Specimens in South China Sea 期刊论文
FRONTIERS IN MARINE SCIENCE, 2021, 卷号: 8, 页码: 9
作者:  Hou, Gang;  Chen, Yanying;  Wang, Sijin;  Wang, Jinrun;  Chen, Weitao;  Zhang, Hui
Adobe PDF(514Kb)  |  收藏  |  浏览/下载:249/0  |  提交时间:2021/05/26
fish larvae  DNA barcode  South China Sea  spawning ground  fish conservation  
Stock Assessment Using the LBB Method for Portunus trituberculatus Collected from the Yangtze Estuary in China 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 1, 页码: 7
作者:  Yue, Longtao;  Wang, Yibang;  Zhang, Hui;  Xian, Weiwei
Adobe PDF(723Kb)  |  收藏  |  浏览/下载:191/0  |  提交时间:2021/04/21
LBB method  stock assessment  Yangtze Estuary  Portunus trituberculatus  fishery resources  
Assessment of 11 Exploited Fish and Invertebrate Populations in the Japan Sea Using the CMSY and BSM Methods 期刊论文
FRONTIERS IN MARINE SCIENCE, 2020, 卷号: 7, 页码: 10
作者:  Zhang, Shanshan;  Wang, Yibang;  Wang, Yuanchao;  Liang, Cui;  Xian, Weiwei
Adobe PDF(4527Kb)  |  收藏  |  浏览/下载:170/0  |  提交时间:2021/04/12
data-limited stock assessment  maximum sustainable yield  fisheries management  the Japan Sea and environs  CMSY and BSM  
Molecular and Morphological Identification and Seasonal Distribution of Eggs of Four Decapterus Fish Species in the Northern South China Sea: A Key to Conservation of Spawning Ground 期刊论文
FRONTIERS IN MARINE SCIENCE, 2020, 卷号: 7, 页码: 10
作者:  Hou, Gang;  Wang, Jinrun;  Chen, Zuozhi;  Zhou, Jinlong;  Huang, Wangsu;  Zhang, Hui
Adobe PDF(1861Kb)  |  收藏  |  浏览/下载:234/0  |  提交时间:2021/04/12
fish eggs  DNA barcode  morphology  Decapterus  spawning ground  northern South China Sea  
Assessment of 12 Fish Species in the Northwest Pacific Using the CMSY and BSM Methods 期刊论文
FRONTIERS IN MARINE SCIENCE, 2020, 卷号: 7, 页码: 11
作者:  Wang, Yibang;  Wang, Yuanchao;  Liang, Cui;  Zhang, Hui;  Xian, Weiwei
Adobe PDF(741Kb)  |  收藏  |  浏览/下载:241/0  |  提交时间:2020/09/25
east coast of Japan  overfishing  stock assessment  CMSY/BSM methods  data-sparse stock