Estimation of metabolic rate from activity measured by recorders deployed on Japanese sea bass Lateolabrax japonicus

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• 作者：Tomohiko Mori ; Naoyuki Miyata ; Jun Aoyama ; Yasuaki Niizuma…
• 关键词：Biologging ; Oxygen consumption ; Tail beat frequency ; Body beat frequency ; Activity ; Japanese sea bass ; Energy expenditure rate
• 刊名：Fisheries Science
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：81
• 期：5
• 页码：871-882
• 全文大小：1,024 KB
• 参考文献：1.Baum JK, Worm B (2009) Cascading top-down effects of changing oceanic predator abundances. J Anim Ecol 78:699-14CrossRef PubMed
  2.Frank KT, Petrie B, Choi JS, Leggett WC (2005) Trophic cascades in a formerly cod-dominated ecosystem. Science 308:1621-623CrossRef PubMed
  3.Estes JA, Tinker MT, Williams TM, Doak DF (1998) Killer whale predation on sea otters linking oceanic and nearshore ecosystems. Science 282:473-76CrossRef PubMed
  4.Videler JJ (1993) Fish swimming. Chapman and Hall, London
  5.Claireaux G, Couturier C, Groison AL (2006) Effect of temperature on maximum swimming speed and cost of transport in juvenile European sea bass (Dicentrarchus labrax). J Exp Biol 209:3420-428CrossRef PubMed
  6.Beamish FWH (1978) Swimming capacity. In: Hoar W, Randall D (eds) Fish physiology. VII: Locomotion. Academic, London, pp 101-87
  7.Brett JR (1964) The respiratory metabolism and swimming performance of young sockeye salmon. J Fish Res Board Canada 21:1183-226CrossRef
  8.Brett JR (1965) The relation of size to rate of oxygen consumption and sustained swimming speed of sockeye salmon (Oncorhynchus nerka). J Fish Res Board Canada 22:1491-501CrossRef
  9.Van den Thillart G, van Ginneken V, K?rner F, Heijimans R, Van der Linden R, Gluvers A (2004) Endurance swimming of European eel. J Fish Biol 65:312-18CrossRef
  10.Steinhausen MF, Steffensen JF, Andersen NG (2005) Tail beat frequency as a predictor of swimming speed and oxygen consumption of saithe (Pollachius virens) and whiting (Merlangius merlangus) during forced swimming. Mar Biol 148:197-04CrossRef
  11.Clark TD, Sandblom E, Hinch SG, Paterson DA, Frappell PB, Farrel AP (2010) Simultaneous biologging of heart rate and acceleration, and their relationships with energy expenditure in free-swimming sockeye salmon (Oncorhynchus nerka). J Comp Physiol B 180:673-84CrossRef PubMed
  12.Wilson RP, White CR, Quintana F, Halsey LG, Liebsch N, Martin GR, Butler PJ (2006) Moving towards acceleration for estimates of activity-specific metabolic rate in free-living animals: the case of the cormorant. J Anim Ecol 75:1081-090CrossRef PubMed
  13.Halsey LG, Green JA, Wilson RP, Frappell PB (2009) Accelerometry to estimate energy expenditure during activity: best practice with data loggers. Physiol Biochem Zool 82:396-04CrossRef PubMed
  14.Gleiss AC, Dale JJ, Holland KN, Wilson RP (2010) Accelerating estimates of activity-specific metabolic rate in fishes: testing the applicability of acceleration data-loggers. J Exp Mar Bio Ecol 385:85-1CrossRef
  15.Qasem L, Cardew A, Wilson A, Griffiths I, Halsey LG, Shepard ELC, Gleiss AC, Wilson RP (2012) Tri-axial dynamic acceleration as a proxy for animal energy expenditure; should we be summing values or calculating the vector? PLoS One 7:e31187. doi:10.-371/?journal.?pone.-031187
  16.Wright S, Metcalfe J, Hetherington S, Wilson R (2014) Estimating activity-specific energy expenditure in a teleost fish, using accelerometer loggers. Mar Ecol Prog Ser 496:19-2CrossRef
  17.Tanaka H, Takagi Y, Naito Y (2001) Swimming speeds and buoyancy compensation of migrating adult chum salmon Oncorhynchus keta revealed by speed/depth/acceleration data logger. J Exp Biol 204:3895-904PubMed
  18.Kawabe R, Kawano T, Nakano N, Yamashita N, Hiraishi T, Naito Y (2003) Simultaneous measurement of swimming speed and tail beat activity of free-swimming rainbow trout Oncorhynchus mykiss using an acceleration data-logger. Fish Sci 69:959-65CrossRef
  19.Lowe CG (2002) Bioenergetics of free-ranging juvenile scalloped hammerhead sharks (Sphyrna lewini) in Kāne’ohe Bay, ō’ahu, HI. J Exp Mar Bio Ecol 278:141-56CrossRef
  20.Murchie KJ, Cooke SJ, Danylchuk AJ, Suski CD (2011) Estimates of field activity and metabolic rates of bonefish (Albula vulpes) in coastal marine habitats using acoustic tri-axial accelerometer transmitters and intermittent-flow respirometry. J Exp Mar Bio Ecol 396:147-55CrossRef
  21.Secor DH, Ohta T, Nakayama K, Tanaka M (1998) Use of otolith microanalysis to determine estuarine migrations of Japanese sea bass Lateolabrax japonicus distributed in Ariake Sea. Fish Sci 64:740-43
  22.Tanaka M, Kinoshita I (2002) Temperate bass and biodiversity—new perspective for fisheries biology. Koseisha-koseikaku, Tokyo (in Japanese)
  23.Miyahara K, Ohtani T, Shimamoto N (1995) Feeding habitats of Japanese sea bass Leteolabrax japonicus in Harima-nada. Hyogo Suishi Kenpo 32:1- (in Japanese with English abstract)
  24.Fujita S, Kinoshita I, Takahashi I, Azuma K (1988) Seasonal occurrence and food habits of larvae and juveniles of two temperate basses in the Shimanto estuary, Japan. Jpn J Ichthyol 35:5-0
  25.Hatanaka M, Sekino K (1962) Ecological studies on the Japanese sea bass, Lateolabrax japonicus. I. feeding habit. Nippon Suisan Gakkaishi 28:851-56 (in Japanese with English abstract)
  26.Kato M, Ikegami N (2004) Recent trend of stock and distribution of fishing ground of sma
• 作者单位：Tomohiko Mori (1)
  Naoyuki Miyata (1)
  Jun Aoyama (1)
  Yasuaki Niizuma (2)
  Katsufumi Sato (1)
  
  1. Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8564, Japan
  2. Laboratory of Environmental Zoology, Faculty of Agriculture, Meijo University, 1-501 Shiogamakuchi, Tenpaku-ku, Nagoya, Aichi, 468-8502, Japan
  
• 刊物主题：Fish & Wildlife Biology & Management; Freshwater & Marine Ecology; Food Science;
• 出版者：Springer Japan
• ISSN：1444-2906

文摘

Understanding the energy expenditure of top predators is important because a collapse in them could trigger trophic cascades through ecosystems. One such top predator, Japanese sea bass Lateolabrax japonicus, helps to balance the structure of the coastal marine ecosystem through predation. In this study, accelerometry was applied to the Japanese sea bass to estimate its energy expenditure under natural conditions. We attached accelerometers to five wild fish and measured metabolic rates such as the oxygen consumption rate (\({\dot{\text{V}}\text{O}}_{ 2}\), mg O₂ kg? min?) using a swim tunnel. Body beat frequency (BBF) was measured using the accelerometer. The BBF was correlated with the tail beat frequency (TBF) by analyzing video recordings. \({\dot{\text{V}}\text{O}}_{ 2}\) was related to swimming speed (U), TBF, and BBF. We estimated the standard (45.9 kJ kg? day?) and active (124.0 kJ kg? day?) metabolic rates when fish were not swimming and when they were swimming at the optimum swimming speed, respectively. The energy required to compensate for the above metabolic rates are between 83.3 and 275.6 kJ kg? day? using an assimilation efficiency of 0.7 and assuming that the growth rate is zero. These costs were comparable to consuming one or two prey fish per day (e.g., Japanese sardine: mean total length 155 ± SD 6 mm). Keywords Biologging Oxygen consumption Tail beat frequency Body beat frequency Activity Japanese sea bass Energy expenditure rate