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4 期 水 产 学 报 50 卷
1963[J]. M. D. Computing, 1997, 14(4): 306-317. annual precipitation series from 1901 to 2017 in Zhejiang
[18] Pielou E C. The measurement of diversity in different types of Province[J]. Climate Change Research, 2018, 14(6): 553-561
biological collections[J]. Journal of Theoretical Biology, 1966, (in Chinese).
13: 131-144. [29] 潘存鸿, 潘冬子, 郑君, 等. 台风对钱塘江涌潮影响研究 [J].
[19] Simpson E H. Measurement of diversity[J]. Nature, 1949, 海洋学研究, 2020, 38(4): 40-47.
163(4148): 688. Pan C H, Pan D Z, Zheng J, et al. Study on influence of
[20] Margalef R. Information theory in ecology[J]. General Systems, typhoon on tidal bore in Qiantang River[J]. Journal of Marine
1958, 3: 36-71. Sciences, 2020, 38(4): 40-47 (in Chinese).
[21] Andruszkiewicz E A, Koseff J R, Fringer O B, et al. Modeling [30] Lacoursière-Roussel A, Howland K, Normandeau E, et al.
environmental DNA transport in the coastal ocean using Lag- eDNA metabarcoding as a new surveillance approach for
rangian particle tracking[J]. Frontiers in Marine Science, 2019, coastal Arctic biodiversity[J]. Ecology and Evolution, 2018,
6: 477. 8(16): 7763-7777.
[22] Wood Z T, Lacoursière-Roussel A, LeBlanc F, et al. Spatial [31] Schmidt N, Staveley T A B. Fish communities in Baltic Sea
heterogeneity of eDNA transport improves stream assessment coastal bays; using eDNA metabarcoding to assess vertical pro-
of threatened salmon presence, abundance, and location[J]. file and traditional method comparison[J]. Fisheries & Aquatic
Frontiers in Ecology and Evolution, 2021, 9: 650717. Life, 2025, 33(2): 72-90.
[23] Valentin R E, Kyle K E, Allen M C, et al. The state, transport, [32] 吴昀晟, 唐永凯, 李建林, 等. 环境 DNA 在长江江豚监测中的
and fate of aboveground terrestrial arthropod eDNA[J]. Envir- 应用 [J]. 中国水产科学, 2019, 26(1): 124-132.
onmental DNA, 2021, 3(6): 1081-1092. Wu Y S, Tang Y K, Li J L, et al. The application of environ-
[24] Pont D. Predicting downstream transport distance of fish eDNA mental DNA in the monitoring of the Yangtze finless porpoise,
in lotic environments[J]. Molecular Ecology Resources, 2024, Neophocaena phocaenoides asaeorientalis[J]. Journal of Fish-
24(4): e13934. ery Sciences of China, 2019, 26(1): 124-132 (in Chinese).
[25] 张艳胜, 苗庆生, 郑兵, 等. 浙江沿岸黑潮次表层水表层露出 [33] Eichmiller J J, Bajer P G, Sorensen P W. The relationship
机制分析 [J]. 海洋通报, 2025, 44(2): 159-167. between the distribution of common carp and their environ-
Zhang Y S, Miao Q S, Zheng B, et al. Analysis of surface mental DNA in a small lake[J]. PLoS One, 2014, 9(11):
exposure mechanism of Kuroshio subsurface water along the e112611.
coast of Zhejiang Province[J]. Marine Science Bulletin, 2025, [34] 杨海乐, 吴金明, 张辉, 等. 大型河流中鱼类组成的 eDNA 监
44(2): 159-167 (in Chinese). 测效率: 以长江武汉江段为例 [J]. 中国水产科学, 2021,
[26] 孙振皓, 江志兵, 詹琳, 等. 黑潮对东海网采浮游植物群落组 28(6): 796-807.
成与分布的影响 [J]. 海洋与湖沼, 2023, 54(1): 44-57. Yang H L, Wu J M, Zhang H, et al. Environmental DNA
Sun Z H, Jiang Z B, Zhan L, et al. Influence of Kuroshio intru- metabarcoding utilization efficiency in monitoring large river
sion on composition and distribution of net-collected phyto- fish species composition: a case study in the Wuhan transect of
plankton community in the East China Sea[J]. Oceanologia et the Yangtze River[J]. Journal of Fishery Sciences of China,
Limnologia Sinica, 2023, 54(1): 44-57 (in Chinese). 2021, 28(6): 796-807 (in Chinese).
[27] 黄丹丹, 王天阳, 李凤全, 等. 近 50 年浙江沿海地区降水变化 [35] Moustakas A, Karakassis I. How diverse is aquatic biodiversity
特征分析 [J]. 浙江师范大学学报 (自然科学版), 2024, 47(1): research?[J]. Aquatic Ecology, 2005, 39(3): 367-375.
82-89. [36] Lee S, Lee J K, Park G, et al. Analysis of fishery resource dis-
Huang D D, Wang T Y, Li F Q, et al. Characteristic analysis of tribution and seasonal variations in the East China Sea: utiliz-
precipitation changes in the coastal areas of Zhejiang Province ing trawl surveys, environmental DNA, and scientific echo
over the past 50 years[J]. Journal of Zhejiang Normal Uni- sounders[J]. Water, 2025, 17(16): 2477.
versity (Natural Sciences), 2024, 47(1): 82-89 (in Chinese). [37] 王月. 赤水河鱼类环境 DNA 宏条形码参考数据库的构建及
[28] 肖晶晶, 李正泉, 郭芬芬, 等. 浙江省 1901—2017 年降水序列 应用 [D]. 大连: 大连海洋大学, 2022.
构建及变化特征分析 [J]. 气候变化研究进展, 2018, 14(6): Wang Y. Establishment and application of metabarcoding refer-
553-561. ence database for fish environmental DNA in Chishui River[D].
Xiao J J, Li Z Q, Guo F F, et al. Construction and analysis of Dalian: Dalian Ocean University, 2022 (in Chinese).
https://www.china-fishery.cn 中国水产学会主办 sponsored by China Society of Fisheries
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