Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags
Flaspohler, Genevieve E.1,2; Caruso, Francesco3,4; Mooney, T. Aran3; Katija, Kakani5; Fontes, Jorge6,7,8; Afonso, Pedro6,7,8; Shorter, K. Alex9
2019-12-01
Source PublicationJOURNAL OF EXPERIMENTAL BIOLOGY
ISSN0022-0949
Volume222Issue:24Pages:13
Abstract

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.

KeywordPersistent monitoring Gait Movement patterns Energetics Biotelemetry
DOI10.1242/jeb.198226
Indexed BySCI
Funding OrganizationWoods 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
Language英语
Funding ProjectWoods 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 KeywordLOLLIGUNCULA-BREVIS ; LOCOMOTORY FUNCTION ; DOSIDICUS-GIGAS ; METABOLIC-RATE ; FISH ; JET ; ACCELERATION ; BEHAVIOR ; HYDRODYNAMICS ; CONSTRAINTS
WOS Research AreaLife Sciences & Biomedicine - Other Topics
WOS SubjectBiology
WOS IDWOS:000505203300001
PublisherCOMPANY BIOLOGISTS LTD
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.idsse.ac.cn/handle/183446/7375
Collection深海科学研究部_海洋哺乳动物与海洋生物声学研究室
Corresponding AuthorMooney, T. Aran
Affiliation1.Woods Hole Oceanog Inst, Appl Ocean Phys & Engn Dept, Woods Hole, MA 02543 USA
2.MIT, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
3.Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA
4.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Marine Mammal & Marine Bioacoust Lab, Sanya 572000, Peoples R China
5.Monterey Bay Aquarium Res Inst, Res & Dev, 7700 Sandholdt Rd, Moss Landing, CA 95039 USA
6.MARE Marine & Environm Sci Ctr, R Frederico Machado, P-9901862 Faial, Azores, Portugal
7.Univ Azores, IMAR Inst Marine Res, R Frederico Machado, P-9901862 Faial, Azores, Portugal
8.Univ Azores, Okeanos, R Frederico Machado, P-9901862 Faial, Azores, Portugal
9.Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
Recommended Citation
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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