韓青鵬，男，1993年09月生人，于2023年6月獲中國海洋大學(xué)漁業(yè)資源專業(yè)博士學(xué)位，2019年赴美國華盛頓大學(xué)學(xué)習(xí)資源評估模型，2023年7月進(jìn)入中國水產(chǎn)科學(xué)研究院黃海水產(chǎn)研究所工作，助理研究員。兼任中韓海洋生物資源專家組中方成員，負(fù)責(zé)漁業(yè)資源評估相關(guān)工作。
聯(lián)系電話：13165074691
通訊地址：山東省青島市南京路106號中國水產(chǎn)科學(xué)研究院黃海水產(chǎn)研究所
郵政編碼：266071
E-mail：hanqp@ysfri.ac.cn；qphan@foxmail.com
主要研究內(nèi)容、研究方向
主要從事海洋漁業(yè)資源評估與管理、海洋生態(tài)系統(tǒng)動力學(xué)等方面的研究。主持國家自然科學(xué)基金青年項目（32403027）1項、國家重點研發(fā)計劃子課題（2024YFD2400403）1項、中國博士后面上項目(2024M7753624)1項、青島市博士后項目(QDBSH20240102033)1項和中央級公益性科研院所基本科研業(yè)務(wù)費項目(20603022024008)1項。作為研究骨干，先后參與了美國Packard基金項目、973專題（2015CB453303）、山東省重大創(chuàng)新工程課題（2018SDKJ0501）、農(nóng)業(yè)農(nóng)村部財政項目等多項項目，取得了一系列研究成果，發(fā)表論文30余篇，其中第一作者SCI收錄10篇，主編中文專著1部，以第二完成人參編團(tuán)體標(biāo)準(zhǔn)1項，軟著1項，專利2項。
代表性論著
Han, Q., Shan, X., Gorfine, H., Jin, Y., Wu, Q., & Guang, T. Coupling spatio-temporal distribution to provide more informative population status and management recommendations. Scientific Reports, 2025, 15, 24679. https://doi.org/10.1038/s41598-025-10673-z.
Han, Q., Shan, X., Gorfine, H., Jin, X., & Chen, Y. A coupled VAST-JARA-AMSY framework for understanding the spatio-temporal dynamics of small pelagic fishes and improving the accuracy of fisheries management. Rev Fish Biol Fisheries, 2025. https://doi.org/10.1007/s11160-025-09973-4
Han, Q., Shan, X., Jin, X., Jin, Y., Gorfine, H., & Shi, Y. Identifying biological interaction effects in the spatiotemporal dynamics of multiple fish species. Ocean and Coastal Management, 2025, 267, 107739.
Han, Q., Shan, X., Jin, X., Gorfine, H., Jin, Y., Wu, Q., & Shi, Y. Understanding the effects of climate and anthropogenic stresses on distribution variability of Setipinna taty in the Yellow Sea. Fisheries Research, 2024, 276, 107037.
Han Q P, Shan X J, Gorfine H and Jin X S. Recruitment of Engraulis japonicus and its environmental drivers: An EDM analysis. Progress in Oceanography, 2023a, 219: 103143. doi: 10.1016/j.pocean.2023.103143
Han Q P, Shan X J, Jin X S and Gorfine H. Overcoming gaps in a seasonal time series of Japanese anchovy abundance to analyse interannual trends. Ecological Indicators. 2023b, 149: 110189. doi: 10.1016/j.ecolind.2023.110189.
Han Q P, Shan X J, Jin X S and Gorfine H. Contrasting stock status trends obtained from survey and fishery CPUE, taking Larimichthys polvactis in Yellow Sea Large Marine Ecosystem as an example. Ecological Indicators. 2023c, 147: 110032. doi: 10.1016/j.ecolind.2023.110032.
Han Q P, Shan X J, Jin X S and Gorfine H. Exploring reconfiguration of trends in CPUE to model sustainable TAC options for the pivotal YSLME anchovy fishery. Frontiers in Marine Science, 2023d, 10:1102292. doi: 10.3389/fmars.2023.1102292.
Han Q P, Shan X J, Jin X S, Gorfine H, Chen Y L and Su C C. Changes in Distribution Patterns for Larimichthys polyactis in Response to Multiple Pressures in the Bohai Sea Over the Past Four Decades. Frontiers in Marine Science, 2022, 9:941045. doi: 10.3389/fmars.2022.941045.
Han Q P, Shan X J, Jin X S, Gorfine H, Yang T and Su C C. Data-Limited Stock Assessment for Fish Species Devoid of Catch Statistics: Case Studies for Pampus argenteus and Setipinna taty in the Bohai and Yellow Seas. Frontiers in Marine Science, 2021a, 8:766499. doi: 10.3389/fmars.2021.766499.
Han Q P, Grüss A, Shan X J, Jin X S and Thorson J T. Understanding patterns of distribution shifts and range expansion/contraction for small yellow croaker (Larimichthys polyactis) in the Yellow Sea. Fisheries Oceanography, 2021b, 30(1), 69-84. doi: 10.1111/fog.12503.
韓青鵬, 吳強(qiáng), 單秀娟等. 基于體長模型和集成模型的山東近海黃鯽資源評估.水產(chǎn)學(xué)報, 2025, 49(1). http://10.11964/jfc.20230113877.
韓青鵬,單秀娟,陳云龍,金顯仕,劉凱,胡貝爾,崔培東.山東近海產(chǎn)卵場健康狀況評價體系.中國水產(chǎn)科學(xué),2022,29(01):79-90.
韓青鵬，單秀娟,金顯仕,萬榮,丁琪,陳云龍,楊濤.多目標(biāo)資源調(diào)查站位優(yōu)化設(shè)計——以渤海為例,漁業(yè)科學(xué)進(jìn)展, 2019,40(1):1-11.
韓青鵬,單秀娟,萬榮等.基于地統(tǒng)計二階廣義線性混合模型的黃海冬季小黃魚時空分布和資源量指數(shù)估算.水產(chǎn)學(xué)報,2019,43(07):1603-1614.
單秀娟, 韓青鵬, 金顯仕. 黃渤海漁業(yè)資源評估：理論、方法、應(yīng)用. 中國農(nóng)業(yè)出版社，2024,ISBN9787109327696.
單秀娟, 韓青鵬, 金顯仕, 李凡, 等.團(tuán)體標(biāo)準(zhǔn) T/CI 039-2023《近海魚類產(chǎn)卵場生態(tài)補(bǔ)償評估方法》, 2023.
