Citation: | WANG Wenzhuo, ZHANG Chun, BO Ping, WANG Haoran, JIA Shuo, WANG Nana. Research on acoustic target strength of Larimichthys crocea in South China Sea based on Kirchhoff Approximation Model[J]. South China Fisheries Science, 2024, 20(6): 95-103. DOI: 10.12131/20240084 |
Fisheries acoustics is as an important method for assessing fish abundance and distribution, but the acoustic assessment of Larimichthys crocea is often limited by insufficient Target strength (TS) data. Thus, we employed the Kirchhoff Approximation Model to measure and calculate the TS of cultured L. crocea in the South China Sea, and analyzed the relationship between its attitude inclination, body length (L), acoustic frequency and the target intensity, so as to supplement the target intensity data of L. crocea, and provide scientific references for the acoustic assessment of fishery resources in the South China Sea. The results show that at the frequencies of 38, 70, 120 and 200 kHz, the relationship between TS and body length can be approximated by TS=20lgL−74.12, TS=20lgL−74.34, TS=20lgL−71.98, and TS=20lgL−70.01, respectively. At the same frequencies, the TS of L. crocea increased with increasing body length, with higher values at angles of −20°−−10° and 10°−20°, aligning with their swim bladder orientation, movement posture and behavioral patterns. Moreover, when the frequency was over 70 kHz, the TS of L. crocea increased with increasing frequency but without a direct linear relationship.
[1] |
马彩华, 游奎, 李凤岐, 等. 南海鱼类生物多样性与区系分布[J]. 中国海洋大学学报 (自然科学版), 2006(4): 665-670.
|
[2] |
粟丽, 许友伟, 张魁, 等. 南海区拖网渔业发展趋势及其对渔业资源的影响[J]. 南方水产科学, 2023, 19(4): 41-48. doi: 10.12131/20230027
|
[3] |
田思泉, 柳晓雪, 花传祥, 等. 南海渔业资源状况及其管理挑战[J/OL]. 上海海洋大学学报. http://kns.cnki.net/kcms/detail/31.2024.S.20240307.1752.012.html.
|
[4] |
赵欣. 南海渔业资源开发利用的时空特征及其治理[J]. 世界地理研究, 2022, 31(4): 762-772. doi: 10.3969/j.issn.1004-9479.2022.04.20222006
|
[5] |
陈大刚, 张美昭. 中国海洋鱼类[M]. 青岛: 中国海洋大学出版社, 2015: 1231.
|
[6] |
杨卫, 王春苗. 我国大黄鱼养殖产业发展研究[J]. 海洋开发与管理, 2020, 37(5): 72-75. doi: 10.3969/j.issn.1005-9857.2020.05.014
|
[7] |
金显仕, 田洪林, 单秀娟. 我国近海渔业资源研究历程及展望[J]. 水产学报, 2023, 47(11): 122-131.
|
[8] |
张丽媛, 杨剑虹, 熊清海, 等. 基于水声学的阳宗海鱼类行为特征及其资源评估[J]. 南方水产科学, 2024, 20(1): 110-119. doi: 10.12131/20230082
|
[9] |
李哲, 朱文斌, 陈峰, 等. 近年我国渔业资源声学评估研究进展[J]. 浙江海洋大学学报(自然科学版), 2021, 40(1): 80-85, 92.
|
[10] |
武智, 李跃飞, 朱书礼, 等. 基于渔业声学调查的珠江东塔产卵场鱼类栖息地适宜性研究[J]. 南方水产科学, 2023, 19(3): 11-18. doi: 10.12131/20220283
|
[11] |
WOLFENKOEHLER W, LONG J M, GARY R, et al. Viability of side-scan sonar to enumerate Paddlefish, a large pelagic freshwater fish, in rivers and reservoirs[J]. Fish Res, 2023, 261: 106639. doi: 10.1016/j.fishres.2023.106639
|
[12] |
BECKER A, LOWRY M B, FOWLER A M, et al. 2023 Hydroacoustic surveys reveal the distribution of mid-water fish around two artificial reef designs in temperate Australia[J]. Fish Res, 2023, 257: 106509. doi: 10.1016/j.fishres.2022.106509
|
[13] |
DUNNING J, JANSEN T, FENWICK A J, et al. A new in-situ method to estimate fish target strength reveals high variability in broadband measurements[J]. Fish Res, 2023, 261: 106611. doi: 10.1016/j.fishres.2023.106611
|
[14] |
万树杰, 陈新军, 童剑锋. 声散射模型在鱼类目标强度和种类识别研究中的应用及其进展[J]. 上海海洋大学学报, 2023, 32(1): 171-180.
|
[15] |
RAUTUREAU C, GOULON C, GUILLARD J. In situ TS detections using two generations of echo-sounder, EK60 and EK80: the continuity of fishery acoustic data in lakes[J]. Fish Res, 2022, 249: 106237.
|
[16] |
尚悦. 鱼种回波信号特征提取及分类方法研究[D]. 杭州: 浙江大学, 2019: 9-13.
|
[17] |
钱金玉. 莱州湾海洋牧场鱼礁区渔业资源声学调查技术研究[D]. 大连: 大连海洋大学, 2023: 5-7.
|
[18] |
杨毅. 鱼声散射特性分析及声学生物量监测方法研究[D]. 哈尔滨: 哈尔滨工程大学, 2021: 13-14.
|
[19] |
李佩杰. 尾明角灯鱼目标强度的模型法研究[D]. 大连: 大连海洋大学, 2016: 24-25.
|
[20] |
吴晛天, 胡忠军, 葛航, 等. 基于基尔霍夫近似模型的鲢和鳙目标强度测量[J/OL]. 水产学报. http://kns.cnki.net/kcms/detail/31.1283.S.20220721.1344.002.html.
|
[21] |
薛铭华. 西北太平洋鲐鱼声散射特征及在声学资源评估中的应用[D]. 上海: 上海海洋大学, 2022: 49-50.
|
[22] |
李斌. 基于基尔霍夫近似模型的多鳞鱚 (Sillago sihama) 和红牙䱛 (Otolithes ruber) 目标强度测量研究[D]. 大连: 大连海洋大学, 2017: 44-45.
|
[23] |
孙扬, 汤勇, 邢彬彬, 等. 基于基尔霍夫射线模型法的高白鲑目标强度研究[J]. 大连海洋大学学报, 2021, 36(2): 310-316.
|
[24] |
王金明. 基于模型法对黄河鲤的目标强度的测量[D]. 大连: 大连海洋大学, 2018: 11-14.
|
[25] |
KUSDINAR A, HWANG B K, SHIN H O. Determining the target strength bambood wrasse (Pseudolabrus japonicus) using Kirchhoff-Ray Mode[J]. J Korean Soc Fish Ocean Technol, 2014, 50(4): 427-434. doi: 10.3796/KSFT.2014.50.4.427
|
[26] |
CLAY C S, HORNE J K. Acoustic models of fish: the Atlantic cod (Gadus morhua)[J]. J Acoust Soc Am, 1994, 96(3): 1661-1668. doi: 10.1121/1.410245
|
[27] |
LOVE R H. Dorsal-aspect target strength of an individual fish[J]. J Acoust Soc Am, 1971, 49(3B): 816-823. doi: 10.1121/1.1912422
|
[28] |
PROUD R, HANDEGARD N O, KLOSER R J, et al. From siphonophores to deep scattering layers: uncertainty ranges for the estimation of global mesopelagic fish biomass[J]. ICES J Mar Sci, 2019, 76(3): 718-733. doi: 10.1093/icesjms/fsy037
|
[29] |
SIMMONDS J, MACLENAN D. Fisheries acoustics: theory and practice[M]. 2nd ed. Oxford: Blackwell Science, 2005: 229-230.
|
[30] |
刘家富. 大黄鱼养殖与生物学[M]. 厦门: 厦门大学出版社, 2013: 295.
|
[31] |
LI D L, HAO Y F, DUAN Y Q. Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review[J]. Rev Aquac, 2020, 12(3): 1390-1411. doi: 10.1111/raq.12388
|
[32] |
GAUTHIER S, HORNE J K. Acoustic characteristics of forage fish species in the Gulf of Alaska and Bering Sea based on Kirchhoff-Approximation Models[J]. Can J Fish Aquat Sci, 2004, 61(10): 1839-1850. doi: 10.1139/f04-117
|
[33] |
WANZENBÖCK J, KUBECKA J, SAJDLOVA Z, et al. Hydroacoustic target strength vs. fish length revisited: data of caged, free-swimming European whitefish (Coregonus lavaretus L.) suggest a bi-phasic linear relationship under a limited range of tilt angles[J]. Fish Res, 2020, 229: 105620. doi: 10.1016/j.fishres.2020.105620
|
[34] |
FOOTE K G. Importance of the swimbladder in acoustic scattering by fish: a comparison of gadoid and mackerel target strengths[J]. J Acoust Soc Am, 1980, 67(6): 2084-2089. doi: 10.1121/1.384452
|
[35] |
谢晓, 张辉, 孙立元, 等. 基于网箱控制法和模型法的长江4种淡水鱼目标强度研究[J]. 中国水产科学, 2020, 27(5): 536-546.
|
[1] | BAO Zhiming, ZOU Yongfeng, CAO Panhui, ZHANG Jiayuan, XU Yu, XU Zhiqiang, GUO Hui. Effect of high temperature stress on intestinal tissues morphology and transcriptome of Procambarus clarkii[J]. South China Fisheries Science, 2025, 21(1): 105-117. DOI: 10.12131/20240161 |
[2] | QIAO Di, LEI Ning, ZHU Junjie, ZHANG Chaonan, WANG Yanchao, ZHOU Ling. Transcriptome analysis of liver anti-MSRV responses in juvenile largemouth bass (Micropterus salmoides)[J]. South China Fisheries Science, 2024, 20(4): 164-176. DOI: 10.12131/20240050 |
[3] | HAO Tian, TANG Xianhu, JIANG Shouwen, WU Zhichao, XU Qianghua. Transcriptome comparative analysis of liver tissues of three plateau Schizothoracinae fish species[J]. South China Fisheries Science, 2024, 20(3): 92-100. DOI: 10.12131/20230204 |
[4] | SONG Ruhao, HU Ruiqin, LI Genfang, ZHANG Zhicong, XU Qianghua. Research on effect of hypoxia stress on liver tissue of zebrafish (Danio rerio) based on transcriptomics technology[J]. South China Fisheries Science, 2022, 18(6): 60-68. DOI: 10.12131/20220038 |
[5] | GAO Jin, WANG Yongbo, LIU Jinye, GUO Yilan, FU Shuyuan. Transcriptome analysis of Plectropomus leopardus liver under different flow velocity[J]. South China Fisheries Science, 2022, 18(1): 107-117. DOI: 10.12131/20210125 |
[6] | SHEN Ye, WANG Xingqiang, CAO Mei, ZHENG Nianhao, CHEN Baiyao, QIN Chuanxin. Transcriptome analysis of Exopalaemon carinicauda under low salinity stress[J]. South China Fisheries Science, 2020, 16(5): 19-32. DOI: 10.12131/20190267 |
[7] | HUO Huanhuan, LIU Yu, ZHOU Qiubai, GUO Feng, WEI Lili, PENG Mo, ZHANG Yanping, CHEN Wenjing. Primary study on differentially expressed genes screening of Monopterus albus and their regulation mechanism[J]. South China Fisheries Science, 2020, 16(1): 1-8. DOI: 10.12131/20190176 |
[8] | HUANG Yong, GONG Wangbao, CHEN Haigang, XIONG Jianli, SUN Xihong. Sequencing and bioinformatic analysis for transcriptome of Micropterus salmoides based on RNA-seq[J]. South China Fisheries Science, 2019, 15(1): 106-112. DOI: 10.12131/20180066 |
[9] | BEI Lei, SU Youlu, ZHAO Chao, XU Liwen, LIU Guangfeng, WANG Yu, GUO Zhixun, FENG Juan. Cloning rbsB gene from Vibrio harveyi and its expression[J]. South China Fisheries Science, 2018, 14(2): 75-82. DOI: 10.3969/j.issn.2095-0780.2018.02.010 |
[10] | YU Wenbo, ZHU Kecheng, GUO Huayang, ZHANG Nan, SUN Xiaoxiao, WU Na, ZHANG Dianchang. Cloning and expression analysis of MHCⅡβ gene in Trachinotus ovatus[J]. South China Fisheries Science, 2017, 13(4): 69-79. DOI: 10.3969/j.issn.2095-0780.2017.04.009 |
1. |
唐峰华,巴尧骥,肖戈,石永闯,赵国庆,郭爱,张衡,崔雪森,陈峰. 西北印度洋公海鸢乌贼的繁殖生物学及其与环境要素的关系. 上海海洋大学学报. 2025(02): 350-364 .
![]() | |
2. |
赵艺翔,朱凯,王孟佳,王嘉浩,陈峰,朱文斌. 西北印度洋雌性鸢乌贼繁殖生物学特性研究. 海洋渔业. 2025(02): 273-282 .
![]() | |
3. |
温利红,张衡,方舟,陈新军. 鸢乌贼渔业资源研究进展. 水产科学. 2023(03): 527-537 .
![]() | |
4. |
郭有俊,张丽姿,刘毅,曾笑薇,招春旭,李渊,颜云榕. 基于内壳生长纹的秋季东印度洋鸢乌贼生长特性. 水产学报. 2022(11): 2076-2083 .
![]() | |
5. |
颜云榕,邱星宇,张丽姿,钟亚娜,周倍合,招春旭,李忠炉. 南沙海域鸢乌贼繁殖生物学特性. 广东海洋大学学报. 2021(03): 20-27 .
![]() | |
6. |
陆化杰,宁欣,刘维,张羽翔,陈子越,陈新军. 不同气候条件下南海西沙海域鸢乌贼(Sthenoteuthis oualaniensis)渔业生物学比较研究. 海洋与湖沼. 2021(04): 1029-1038 .
![]() | |
7. |
朱凯,张立川,肖楚源,陈新军,林东明,朱俊磊. 南海鸢乌贼微型群雌性个体繁殖力研究. 渔业科学进展. 2020(06): 140-148 .
![]() | |
8. |
郭有俊,吴文秀,凌炜琪,招春旭,冯波,颜云榕. 海南东南部海域春季鸢乌贼CPUE与海洋环境关系. 广东海洋大学学报. 2020(06): 63-70 .
![]() | |
9. |
黄佳兴,龚玉艳,徐姗楠,陈作志,张俊,于文明. 南海中西部海域鸢乌贼中型群和微型群的营养生态位. 应用生态学报. 2019(08): 2822-2828 .
![]() | |
10. |
江淼,马胜伟,吴洽儿. 鸢乌贼资源综合利用技术研究现状. 食品工业科技. 2018(06): 340-344 .
![]() | |
11. |
江淼,马胜伟,吴洽儿. 南海鸢乌贼资源探捕与开发. 中国渔业经济. 2018(02): 65-70 .
![]() | |
12. |
粟丽,陈作志,张鹏,李杰,王欢欢,黄佳兴. 2017年南海中南部渔场灯光罩网渔获物组成及渔获率时空分布. 南方水产科学. 2018(05): 11-20 .
![]() | |
13. |
冯菲. 大数据技术在南海鸢乌贼资源调查上的研究进展. 安徽农业科学. 2018(33): 12-13+18 .
![]() | |
14. |
黄卉,杨丽芝,杨贤庆,李来好,郝淑贤,魏涯,王锦旭. 南海鸢乌贼墨汁多糖分离纯化及组分分析. 食品科学. 2017(24): 118-123 .
![]() |