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Measuring responses to simulated predation threat using behavioral and physiological metrics: the role of aquatic vegetation

  • Behavioural Ecology
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Abstract

An organism's daily activities are affected by predation and predation risk that have behavioral and physiological costs, which translate into long-term population and community consequences. We tested the hypothesis that the perception of predation risk from sand seatrout, Cynoscion arenarius, affects the behavior, and immediate and intermediate physiological responses of longnose killifish, Fundulus majalis. We further hypothesized that prey responses change if prey are buffered by artificial submerged aquatic vegetation (SAV), a potential refuge from predators. Experiments were conducted to quantitatively estimate the behavior, plasma cortisol (PC) concentration, mass-specific oxygen consumption, and short-term growth rate changes relative to full, partial, and no visual exposure to the predator. The partial visual exposure treatment involved the use of artificial SAV. Our results indicate that there are significant behavior and physiological responses of longnose killifish to predation threat. Longnose killifish in the full visual and partial exposure treatments displayed different behaviors than the control treatments by shifting towards the rear of the aquaria. In addition, longnose killifish in the full visual exposure compared to the partial exposure and the control treatments responded by exhibiting an elevation of PC and mass-specific oxygen consumption rate, and through decreased short-term growth. These responses were less intense in the partial exposure, when artificial SAV was present. The significance of this study is that it examines a suite of responses from cellular to the whole-organism level as they are affected by predation threat and modified by the presence or absence of artificial SAV.

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References

  • Abrahams MV, Dill LM (1989) A determination of the energetic equivalence of the risk of predation. Ecology 70:999–1007

    Google Scholar 

  • Adams SM (1990) Status and use of biological indicators for evaluating the effects of stress on fish. Am Fish Soc Symp 8:1–8

    Google Scholar 

  • Anholt BR, Werner E, Skelly DK (2000) Effect of food and predators on the activity of four larval ranid frogs. Ecology 81:3509–3521

    Google Scholar 

  • Barton BA, Iwama GK (1991) Physiological changes in fish from stress in aquaculture with emphasis on the response and effects of corticosteroids. Annu Rev Fish Dis 1:3–26

    Google Scholar 

  • Barton BA, Schreck CB (1987) Metabolic cost of acute physical stress in juvenile steelhead. Trans Am Fish Soc 116:257–263

    Google Scholar 

  • Belk MC (1998) Predator-mediated delayed maturity in bluegill sunfish (Lepomis macrochirus) variation among populations. Oecologia 113:203–209

    Article  Google Scholar 

  • Boonstra R, Hik D, Singleton GR, Tinnikov A (1998) The impact of predator-induced stress on the snowshoe hare cycle. Ecol Monogr 79:371–394

    Google Scholar 

  • Bradford CS, Taylor MH (1987) Semilunar changes in estradiol and cortisol coincident with gonadal maturation and spawning in the killifish Fundulus heteroclitus. Gen Comp Endocrinol 66:71–78

    CAS  PubMed  Google Scholar 

  • Brower JE, Zar JH, von Ende CN (1998) Field and laboratory methods for general ecology. WCB, McGraw-Hill, New York, pp 7–21

  • Carey JB, McCormick SD (1998) Atlantic salmon smolts are more responsive to an acute handling and confinement stress than parr. Aquaculture 168:237–253

    Article  CAS  Google Scholar 

  • Connell SD (1998) Effects of predators on growth, mortality and abundance of a juvenile reef-fish: evidence from manipulations of predator and prey abundance. Mar Ecol Prog Ser 169:251–261

    Google Scholar 

  • Crowder LB, Cooper WE (1982) Habitat structural complexity and the interaction between bluegills and their prey. Ecology 63:1802–1813

    Google Scholar 

  • Donaldson EM (1990) Reproductive indices as measures of the effects of environmental stressors. Am Fish Soc Symp 8:145–166

    Google Scholar 

  • Fraser DF, Gilliam JF (1992) Non-lethal impacts of predator invasion: Facultative suppression of growth and reproduction. Ecology 73:959–970

    Google Scholar 

  • Gregory TR, Wood CM (1999) The effects of chronic plasma cortisol elevation on the feeding behaviour, growth, competitive ability, and swimming performance of juvenile rainbow trout. Physiol Biochem Zool 72:286–295

    Article  CAS  PubMed  Google Scholar 

  • He X, Kitchell JF (1990) Direct and indirect effects of predation on a fish community: a whole-lake experiment. Trans Am Fish Soc 119:825–835

    Google Scholar 

  • Heck KL Jr, Nadeau DA, Thomas R (1997) The nursery role of seagrass beds. Gulf Mex Sci 1:50–55

    Google Scholar 

  • Houston AI, McNamara JM, Hutchinson JMC (1993) General results concerning the trade-off between gaining energy and avoiding predation. Phil Trans R Soc Lond B 341:375–397

    Google Scholar 

  • Jackson EL, Rowden AA, Attrill MJ, Bossey SJ, Jones MB (2001) The importance of seagrass beds as a habitat for fishery species. Oceanogr Mar Annu Rev 39:269–303

    Google Scholar 

  • Johnston TA, Leggett WC (2002) Maternal and environmental gradients in the egg size of an iteroparous fish. Ecology 83:1777–1791

    Google Scholar 

  • Jordan F, Bartolini M, Nelson C, Patterson PE, Soulen HL (1996) Risk of predation affects habitat selection by the pinfish Lagodon rhomboides (Linnaeus). J Exp Mar Biol Ecol 208:45–56

    Article  Google Scholar 

  • Leach GJ, Taylor MH (1977) Seasonal measurements of serum glucose and serum cortisol in a natural population of Fundulus heteroclitus. Comp Biochem Physiol 56:217–233

    Article  CAS  Google Scholar 

  • Lima SL (1998) Stress and decision-making under the risk of predation: recent developments from behavioral, reproductive, and ecological perspectives. Adv Stud Behav 27:215–290

    Google Scholar 

  • Lima SL (2002) Putting predators back into behavioral predator-prey interactions. Trends Ecol Evol 17:70–75

    Article  Google Scholar 

  • Magurran AE (1986) Predator inspection behavior in minnow shoals: differences between populations and individuals. Behav Ecol Sociobiol 19:267–273

    Google Scholar 

  • Magurran AE, Higham A (1988) Information transfer across fish shoals under predation threat. Ethology 78:153–158

    Google Scholar 

  • McCormick MI (1998) Behaviorally induced maternal stress in a fish influences progeny quality by a hormonal mechanism. Ecology 79:1873–1883

    Google Scholar 

  • McIvor CC, Odum WE (1988) Food, predation risk, and microhabitat selection in a marsh fish assemblage. Ecology 69:1341–1351

    Google Scholar 

  • McPeek MA, Grace M, Richardson JML (2001) Physiological and behavioral responses to predators shape the growth/predation risk trade-off in damselflies. Ecology 82:1535–1545

    Google Scholar 

  • Peckarsky BL, McIntosh AR, Taylor BW, Dahl J (2002) Predator chemicals induce changes in mayfly life history traits: a whole-stream manipulation. Ecology 83:612–618

    Google Scholar 

  • Peterson MS (1990) Hypoxia-induced physiological changes in two mangrove swamp fishes: sheepshead minnow, Cyprinodon variegatus Lacepede and sailfin molly, Poecilia latipinna (Leseur). Comp Biochem Physiol 97:17–21

    Article  Google Scholar 

  • Peterson MS, Comyns BH, Hendon JR, Bond PJ, Duff GA (2000) Habitat use by early life-history stages of fishes and crustaceans along a changing estuarine landscape: differences between natural and altered shoreline sites. Wetlands Ecol Manage 8:209–219

    Article  Google Scholar 

  • Pottinger TG, Pickering AD (1992) The influence of social interaction on the acclimation of rainbow trout, Oncorhynchus mykiss (Walbaum) to chronic stress. J Fish Biol 41:435–447

    Google Scholar 

  • Relyea RA (2002) The many faces of predation: how induced, selection, and thinking combine to alter prey phenotypes. Ecology 83:1953–1964

    Google Scholar 

  • Relyea RA, Werner EE (1999) Quantifying the relation between predator-induced behavior and growth performance in larval anurans. Ecology 80:2117–2124

    Google Scholar 

  • Ruiz GM, Hines AH, Posey MH (1993) Shallow water as a refuge habitat for fishes and crustaceans in non-vegetated estuaries: an example from Chesapeake Bay. Mar Ecol Prog Ser 99:1–16

    Google Scholar 

  • Savino JF, Stein RA (1989) Behavioural interactions between fish predators and their prey: effects of plant density. Anim Behav 37:311–321

    Google Scholar 

  • Sogard SM (1994) Use of suboptimal foraging habitats by fishes: Consequences to growth and survival. In: Stouder DJ, Fresh KL, Feller RJ (eds) Theory and application in fish feeding ecology. University of South Carolina Press, Columbia, S.C., pp 103–131

  • Von Buskirk J, Ariolo M (2002) Dosage responses of an induced defense: how sensitive are tadpoles to predation risk? Ecology 83:1580–1585

    Google Scholar 

  • Weil LS, Barry TP, Malison JA (2001) Fast growth in rainbow trout is correlated with a rapid decrease in post stress cortisol concentrations. Aquaculture 193:373–380

    Article  CAS  Google Scholar 

  • Wendelaar Bonga SE (1997) The stress response in fish. Physiol Rev 77:591–625

    PubMed  Google Scholar 

  • Werner EE, Anholt BR (1993) Ecological consequences of the trade-off between growth and mortality rates mediated by foraging activity. Am Nat 142:242–272

    Article  Google Scholar 

  • Woodley CM (2001) Measurement of increased predation threat using behavioral and physiological metrics: implications for aquatic habitat loss in estuarine ecosystems. MS thesis. University of Southern Mississippi, Hattiesburg, Miss.

    Google Scholar 

Download references

Acknowledgements

This is a result of a thesis submitted in partial fulfillment for a Master of Science degree from The University of Southern Mississippi by C. M. Woodley. This project was partially funded through the Lytle Coastal Sciences Scholarship. We would like to thank Drs F. Moore and M. Brower for their assistance as committee members. We would like to thank R. F. Bond and J. J. Cech Jr. for reviewing this manuscript; A. Ruple at the NMFS for use of a microplate reader; and R. F. Bond, B. Blackburn, and G. Zapfe for field assistance. We would especially like to thank N. Brown-Peterson for her assistance with the EIA assay, assay validation. Lastly, we would like to thank our anonymous reviewers, and C. Folt, and S. Balcomb for editorial comments.

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Correspondence to Christa M. Woodley.

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Woodley, C.M., Peterson, M.S. Measuring responses to simulated predation threat using behavioral and physiological metrics: the role of aquatic vegetation. Oecologia 136, 155–160 (2003). https://doi.org/10.1007/s00442-003-1236-1

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  • DOI: https://doi.org/10.1007/s00442-003-1236-1

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