Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags | |
Flaspohler, Genevieve E.2,3; Caruso, Francesco4,5; Mooney, T. Aran4; Katija, Kakani6; Fontes, Jorge7,8,9; Afonso, Pedro7,8,9; Shorter, K. Alex1 | |
刊名 | JOURNAL OF EXPERIMENTAL BIOLOGY |
2019-12-01 | |
卷号 | 222期号:24页码:13 |
关键词 | Persistent monitoring Gait Movement patterns Energetics Biotelemetry |
ISSN号 | 0022-0949 |
DOI | 10.1242/jeb.198226 |
英文摘要 | Squid are mobile, diverse, ecologically important marine organisms whose behavior and habitat use can have substantial impacts on ecosystems and fisheries. However, as a consequence in part of the inherent challenges of monitoring squid in their natural marine environment, fine-scale behavioral observations of these free-swimming, soft-bodied animals are rare. Bio-logging tags provide an emerging way to remotely study squid behavior in their natural environments. Here, we applied a novel, high-resolution bio-logging tag (ITAG) to seven veined squid, Loligo forbesii, in a controlled experimental environment to quantify their short-term (24 h) behavioral patterns. Tag accelerometer, magnetometer and pressure data were used to develop automated gait classification algorithms based on overall dynamic body acceleration, and a subset of the events were assessed and confirmed using concurrently collected video data. Finning, flapping and jetting gaits were observed, with the low-acceleration finning gaits detected most often. The animals routinely used a finning gait to ascend (climb) and then glide during descent with fins extended in the tank's water column, a possible strategy to improve swimming efficiency for these negatively buoyant animals. Arms- and mantle-first directional swimming were observed in approximately equal proportions, and the squid were slightly but significantly more active at night. These tag-based observations are novel for squid and indicate a more efficient mode of movement than suggested by some previous observations. The combination of sensing, classification and estimation developed and applied here will enable the quantification of squid activity patterns in the wild to provide new biological information, such as in situ identification of behavioral states, temporal patterns, habitat requirements, energy expenditure and interactions of squid through space-time in the wild. |
资助项目 | Woods Hole Oceanographic Institution's Ocean Life Institute ; Innovative Technology Program, Hopkins Marine Station's Marine Life Observatory ; National Science Foundation Program for Instrument Development for Biological Research[1455593] ; National Science Foundation GRFP program ; National Science Foundation REU program |
WOS关键词 | LOLLIGUNCULA-BREVIS ; LOCOMOTORY FUNCTION ; DOSIDICUS-GIGAS ; METABOLIC-RATE ; FISH ; JET ; ACCELERATION ; BEHAVIOR ; HYDRODYNAMICS ; CONSTRAINTS |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics |
语种 | 英语 |
出版者 | COMPANY BIOLOGISTS LTD |
WOS记录号 | WOS:000505203300001 |
资助机构 | Woods Hole Oceanographic Institution's Ocean Life Institute ; Innovative Technology Program, Hopkins Marine Station's Marine Life Observatory ; National Science Foundation Program for Instrument Development for Biological Research ; National Science Foundation GRFP program ; National Science Foundation REU program |
内容类型 | 期刊论文 |
版本 | 出版稿 |
源URL | [http://ir.idsse.ac.cn/handle/183446/7374] |
专题 | 深海科学研究部_深海生物学研究室_海洋哺乳动物与海洋生物声学研究组 |
通讯作者 | Mooney, T. Aran |
作者单位 | 1.Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA 2.Woods Hole Oceanog Inst, Appl Ocean Phys & Engn Dept, Woods Hole, MA 02543 USA 3.MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA 4.Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA 5.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Marine Mammal & Marine Bioacoust Lab, Sanya 572000, Peoples R China 6.Monterey Bay Aquarium Res Inst, Res & Dev, 7700 Sandholdt Rd, Moss Landing, CA 95039 USA 7.MARE Marine & Environm Sci Ctr, R Frederico Machado, P-9901862 Faial, Azores, Portugal 8.Univ Azores, IMAR Inst Marine Res, R Frederico Machado, P-9901862 Faial, Azores, Portugal 9.Univ Azores, Okeanos, R Frederico Machado, P-9901862 Faial, Azores, Portugal |
推荐引用方式 GB/T 7714 | Flaspohler, Genevieve E.,Caruso, Francesco,Mooney, T. Aran,et al. Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags[J]. JOURNAL OF EXPERIMENTAL BIOLOGY,2019,222(24):13. |
APA | Flaspohler, Genevieve E..,Caruso, Francesco.,Mooney, T. Aran.,Katija, Kakani.,Fontes, Jorge.,...&Shorter, K. Alex.(2019).Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags.JOURNAL OF EXPERIMENTAL BIOLOGY,222(24),13. |
MLA | Flaspohler, Genevieve E.,et al."Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags".JOURNAL OF EXPERIMENTAL BIOLOGY 222.24(2019):13. |
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