Volume 20 Issue 5
Oct.  2024
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JIANG Manju, GUO Yu, QIN Chuanxin, XIN Yi, ZHAO Xinran, YU Gang, MA Zhenhua, YANG Yukai. Investigation on behavioral preferences of Lutjanus erythropterus juvenile towards artificial reef models with different pore shapes and sizes[J]. South China Fisheries Science, 2024, 20(5): 42-52. DOI: 10.12131/20240135
Citation: JIANG Manju, GUO Yu, QIN Chuanxin, XIN Yi, ZHAO Xinran, YU Gang, MA Zhenhua, YANG Yukai. Investigation on behavioral preferences of Lutjanus erythropterus juvenile towards artificial reef models with different pore shapes and sizes[J]. South China Fisheries Science, 2024, 20(5): 42-52. DOI: 10.12131/20240135
shu

Investigation on behavioral preferences of Lutjanus erythropterus juvenile towards artificial reef models with different pore shapes and sizes

  • 1.

    South China Sea Fisheries Research Institute, Chinese Academy of Fisheries Sciences/National Fishery Resources and Environment Dapeng Observatory Experimental Station/Key Laboratory of Marine Ranching, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China

  • 2.

    School of Fisheries and Life, Dalian Ocean University, Dalian 116023, China

  • 3.

    Sanya Tropical Fisheries Research Institute/Key Laboratory of Efficient Utilization and Processing of Deep-Sea Fishery Resources of Hainan Province, Sanya 572018, China

  • 4.

    Shenzhen Base of South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shenzhen 518121, China

  • 5.

    Agro-Tech Extension Center of Guangdong Province, Guangzhou 510520, China

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  • Received Date: June 12, 2024
  • Revised Date: August 23, 2024
  • Accepted Date: September 01, 2024
  • Available Online: September 04, 2024
    Graphical Abstract
    • Abstract

  • The construction of artificial reefs is crucial for maintaining marine ecology and protecting fishery resources. The pore shape and size are the key elements for the structural design with a significant impact on the aggregation of fish. We designed and made the artificial reef models with different pore shapes (Round, square, diamond) and different sizes (1.0, 2.0, 3.0, 4.0 cm) for Lutjanus erythropterus, a common reef-dwelling fish in the artificial reef area. Then we observed the attractive effect on the juveniles and observed their behavioral changes in an indoor experimental pool. The results show that without the artificial reef model, the juveniles mainly concentrated in the peripheral area of experimental pool. But when the reef model was placed, the average distribution ratio of the juveniles in the reef area increased significantly (p<0.05). For the pore shape study, there was no significant difference in the average distribution rate of the juveniles in the artificial reef placement area (VI area) among the three treatment groups (p>0.05), with the proportion of the diamond treatment group being the highest [(19.84±6.08)%]. However, for the pore size study, there were significant differences among the three treatment groups (p<0.05), 4.0 cm size group (About 2.0 times the body height of juvenile) being the highest [(25.36±5.04)%], while 1.0 cm size group (About 0.5 times the body height of juvenile) being the lowest [(14.54±3.09)%]. In terms of activity ability, there were obvious differences between the artificial reef model experimental group and the blank control group. The average speed of juveniles decreased from (13.36±5.21) cm·s−1 in the control group to (4.29±1.59) cm·s−1 in the reef group, the average acceleration decreased from (106.93±69.17) cm·s−2 to (54.45±21.47) cm·s−2, and the percentage of activity time decreased from (68.01±8.61)% to (40.29±11.85)%, and all were the lowest in the circular 4.0 cm group, the square 4.0 cm group and the diamond 4.0 cm group. It is showed that at this stage, L. erythropterus juvenile has the strongest tropism to the artificial reef model with a circular pore shape and the size group of 4.0 cm, but the activity level is relatively low, showing the most significant attractive effect.

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    • References (38)
  • [1]
    HARRISON S, ROUSSEAU M. Comparison of artificial and natural reef productivity in Nantucket Sound, MA, USA[J]. Estuar Coast, 2020, 43(8): 2092-2105. doi: 10.1007/s12237-020-00749-6
    [2]
    郭禹, 章守宇, 林军. 基于上升流效应的单位鱼礁建设模式研究[J]. 南方水产科学, 2020, 16(5): 71-79. doi: 10.12131/20200008
    [3]
    张皓铭, 谢笑艳, 陈丕茂, 等. 人工鱼礁竖板不同方形孔径对黑鲷幼鱼诱集效果研究[J]. 南方水产科学, 2022, 18(1): 52-58. doi: 10.12131/20210103
    [4]
    王新维, 李杨帆. 海洋经济统计体系优化策略研究: 基于国际比较视角[J]. 中国海洋大学学报 (社会科学版), 2022(6): 45-53.
    [5]
    KOMYAKOVA V, CHAMBERLAIN D, JONES G P, et al. Assessing the performance of artificial reefs as substitute habitat for temperate reef fishes: implications for reef design and placement[J]. Sci Total Environ, 2019, 668: 139-152. doi: 10.1016/j.scitotenv.2019.02.357
    [6]
    XUE D W, WANG C Y, HUANG T, et al. Flow field effects and physical stability of pyramidal artificial reef with different slope angles[J]. Ocean Eng, 2023, 283: 115059. doi: 10.1016/j.oceaneng.2023.115059
    [7]
    王佳美, , 唐振朝, 丁玲, 等. 基于水槽模型试验的人工鱼礁局部冲淤研究[J]. 南方水产科学, 2020, 16(6): 32-38.
    [8]
    HARASTI D, MALCOLM H, GALLEN C, et al. Appropriate set times to represent patterns of rocky reef fishes using baited video[J]. J Exp Mar Biol Ecol, 2015, 463: 173-180. doi: 10.1016/j.jembe.2014.12.003
    [9]
    HYLKEMA A, DEBROT A O, OSINGA R, et al. Fish assemblages of three common artificial reef designs during early colonization[J]. Ecol Eng, 2020, 157: 105994. doi: 10.1016/j.ecoleng.2020.105994
    [10]
    LOWRY M, FOLPP H, GREGSON M, et al. Comparison of baited remote underwater video (BRUV) and underwater visual census (UVC) for assessment of artificial reefs in estuaries[J]. J Exp Mar Biol Ecol, 2012, 416/417: 243-253. doi: 10.1016/j.jembe.2012.01.013
    [11]
    张云岭, 赵祺, 齐遵利, 等. 几种不同类型人工鱼礁的稳定性和集鱼效果比较[J]. 河北渔业, 2021(1): 4-10. doi: 10.3969/j.issn.1004-6755.2021.01.002
    [12]
    周艳波, 蔡文贵, 陈海刚, 等. 不同人工鱼礁模型对花尾胡椒鲷的诱集效应[J]. 热带海洋学报, 2010, 29(3): 103-107. doi: 10.3969/j.issn.1009-5470.2010.03.017
    [13]
    JIANG Z Y, LIANG Z L, ZHU L X, et al. Numerical simulation of effect of guide plate on flow field of artificial reef[J]. Ocean Eng, 2016, 116: 236-241. doi: 10.1016/j.oceaneng.2016.03.005
    [14]
    WANG G, WAN R, WANG X X, et al. Study on the influence of cut-opening ratio, cut-opening shape, and cut-opening number on the flow field of a cubic artificial reef[J]. Ocean Eng, 2018, 162: 341-352. doi: 10.1016/j.oceaneng.2018.05.007
    [15]
    沈裕鑫, 张硕, 吴立珍, 等. 灰色拓扑模型在海州湾人工鱼礁区水质预测的应用[J]. 南方水产科学, 2020, 16(2): 77-86. doi: 10.12131/20190171
    [16]
    陈治, 王海山, 叶乐, 等. 武莲港人工鱼礁的资源养护效果[J]. 海南热带海洋学院学报, 2022, 29(5): 45-53.
    [17]
    于莹, 徐晓甫, 王硕, 等. 天津大神堂海域人工鱼礁区砂壳纤毛虫群落的季节变化[J]. 海洋科学, 2021, 45(11): 96-104.
    [18]
    张荣良, 刘辉, 孙东洋, 等. 烟台近岸人工鱼礁与自然岩礁底层渔业生物群落特征对比分析[J]. 海洋与湖沼, 2021, 52(3): 697-707. doi: 10.11693/hyhz20201000296
    [19]
    陈汉坚, 孔令兴. 北部湾红鱼资源的回顾及保护对策[J]. 中国水产, 1991(12): 12-13.
    [20]
    张宗航, 董建宇, 张雪梅, 等. 环境丰容对早期发育阶段许氏平鲉趋礁行为的影响[J]. 生态学报, 2018, 38(22): 8223-8233.
    [21]
    PITCHER T J, MAGURRAN A E, WINFIELD I J. Fish in larger shoals find food faster[J]. Behav Ecol Sociobiol, 1982, 10: 149-151. doi: 10.1007/BF00300175
    [22]
    陶峰, 贾晓平, 陈丕茂, 等. 人工鱼礁礁体设计的研究进展[J]. 南方水产科学, 2008, 4(3): 64-69.
    [23]
    唐衍力, 房元勇, 梁振林, 等. 不同形状和材料的鱼礁模型对短蛸诱集效果的初步研究[J]. 中国海洋大学学报 (自然科学版), 2009, 39(1): 43-46, 52.
    [24]
    田方, 唐衍力, 唐曼, 等. 几种鱼礁模型对真鲷诱集效果的研究[J]. 海洋科学, 2012, 36(11): 85-89.
    [25]
    BLANCHET S, DODSON J J, BROSSE S. Influence of habitat structure and fish density on Atlantic salmon Salmo salar L. territorial behaviour[J]. J Fish Biol, 2006, 68(3): 951-957. doi: 10.1111/j.0022-1112.2006.00970.x
    [26]
    KASUMYAN A O, PAVLOV D S. Evolution of schooling behavior in fish[J]. J Ichthyol, 2018, 58(5): 670-678. doi: 10.1134/S0032945218050090
    [27]
    何大仁, 施养明. 鱼礁模型对黑鲷的诱集效果[J]. 厦门大学学报 (自然科学版), 1995, 34(4): 653-658.
    [28]
    黄六一, 徐基强, 陈婧, 等. 光照对花鲈行为反应的影响研究[J]. 渔业信息与战略, 2018, 33(1): 45-50.
    [29]
    陈勇, 刘晓丹, 吴晓郁, 等. 不同结构模型礁对许氏平鲉幼鱼的诱集效果[J]. 大连水产学院学报, 2006, 21(2): 153-157.
    [30]
    周艳波, 蔡文贵, 陈海刚, 等. 试验水槽中多种人工鱼礁模型组合对紫红笛鲷幼鱼的诱集效果[J]. 台湾海峡, 2012, 31(2): 231-237.
    [31]
    郑德斌, 栾凯, 刘克奉, 等. 四种方形鱼礁对黑鲪和大陇六线鱼的集鱼效果[J]. 河北渔业, 2019(8): 1-4. doi: 10.3969/j.issn.1004-6755.2019.08.001
    [32]
    李磊, 陈栋, 彭建新, 等. 不同人工鱼礁模型对黑棘鲷、中国花鲈和大黄鱼的诱集效果比较[J]. 大连海洋大学学报, 2019, 34(3): 413-418.
    [33]
    JAXION-HARM J, SZEDLMAYER S T. Depth and artificial reef type effects on size and distribution of red snapper in the northern Gulf of Mexico[J]. N Am J Fish Manage, 2015, 35(1): 86-96. doi: 10.1080/02755947.2014.982332
    [34]
    周艳波, 蔡文贵, 陈海刚, 等. 10种人工鱼礁模型对黑鲷幼鱼的诱集效果[J]. 水产学报, 2011, 35(5): 711-718.
    [35]
    汪振华, 赵静, 王凯, 等. 马鞍列岛岩礁生境鱼类群落结构时空格局[J]. 生态学报, 2013, 33(19): 6218-6226.
    [36]
    于洋, 谢明原. 鱼类游泳能力评价指标及其测定方法研究现状[J]. 农业与技术, 2021, 41(19): 116-118.
    [37]
    WATZ J. Structural complexity in the hatchery rearing environment affects activity, resting metabolic rate and post-release behaviour in brown trout Salmo trutta[J]. J Fish Biol, 2019, 95(2): 638-641. doi: 10.1111/jfb.14049
    [38]
    van der SALM A L, SPANINGS F A T, GRESNIGT R, et al. Background adaptation and water acidification affect pigmentation and stress physiology of tilapia, Oreochromis mossambicus[J]. Gen Comp Endocr, 2005, 144(1): 51-59. doi: 10.1016/j.ygcen.2005.04.017
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