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Oecologia

, Volume 188, Issue 4, pp 1069–1080 | Cite as

Context-dependent dispersal, public information, and heterospecific attraction in newts

  • Hugo Cayuela
  • Odile Grolet
  • Pierre Joly
Population ecology – original research

Abstract

Dispersal is one of the main processes that determine community structure. Individuals make dispersal decisions according to environmental and/or social cues that reflect the fitness prospects in a given patch. The presence and abundance of heterospecifics within the same ecological guild, and/or their breeding success, may act as public information that influences movement decisions. To date, most studies investigating the role of heterospecific attraction have focused on habitat choice, using both experimental and correlational approaches. The present study is the first to examine how long-term variation in heterospecific density in breeding patches may affect dispersal patterns in spatially structured populations. We investigate how the dispersal decisions of the great crested newt (Triturus cristatus) are related to the variable density of two other newt species, the alpine newt (Ichthyosaura alpestris) and the palmate newt (Lissotriton helveticus). To examine this issue, we used capture–recapture data collected in an experimental pond network over a 20-year period. The results revealed that the great crested newt’s dispersal is context dependent and is affected by variation in heterospecific density: individuals were less likely to emigrate from ponds with high heterospecific density and were more likely to immigrate to ponds with high heterospecific density. These findings suggest that individuals adjust their dispersal decisions at least partly based on public information provided by heterospecifics. This mechanism may play a critical role in the dynamics of spatially structured populations and community functioning.

Keywords

Dispersal Heterospecific attraction Public information Triturus cristatus Ichthyosaura alpestris Lissotriton helveticus 

Notes

Acknowledgements

This research program was supported by the Institut Universitaire de France (IUF). The Pierre Vérots Foundation made the long-term monitoring possible by providing the use of a protected area free of intensive agriculture. The Foundation also contributed to the creation of the ponds and the maintenance of the surrounding meadows, as well as providing technical support for newt capture. Furthermore, it provided a well-equipped laboratory, making it possible to mark and measure the newts on site, thus reducing animal stress. We would especially like to thank Benoît Castanier, Jean-Philippe Rabatel and Charles Granat for their valuable assistance. We are also grateful to the Rhône-Alpes region for providing funding for the marking equipment. We would like to warmly thank the numerous students who helped us with the fieldwork, as well as Adeline Dumet and Vanessa Gardette for their assistance.

Author contribution statement

HC performed modeling and has written the first draft of the manuscript. OG has been in charge of the technical support of the monitoring. PJ has initiated and supervised the monitoring and its exploitation.

Supplementary material

442_2018_4267_MOESM1_ESM.docx (348 kb)
Supplementary material 1 (DOCX 348 kb)

References

  1. Abbott KC (2011) A dispersal-induced paradox: synchrony and stability in stochastic metapopulations. Ecol Lett 14:1158–1169CrossRefGoogle Scholar
  2. Aragón P, López P, Martín J (2000) Conspecific chemical cues influence pond selection by male newts Triturus boscai. Copeia 2000:874–878CrossRefGoogle Scholar
  3. Benton TG, Bowler DE (2012) Linking dispersal to spatial dynamics. In: Clobert J, Baguette M, Benton TG, Bullock JM (eds) Dispersal ecology and evolution. Oxford University Press, Oxford, pp 251–265CrossRefGoogle Scholar
  4. Bonte D, Van Dyck H, Bullock JM, Coulon A, Delgado M, Gibbs M, Lehouck V, Matthysen E, Mustin K, Saastamoinen M, Schtickzelle N, Stevens VM, Vandewoestijne S, Baguette M, Barton K, Benton TG, Chaput-Bardy A, Clobert J, Dytham C, Hovestadt T, Meier CM, Palmer SCF, Turlure C, Travis JMJ (2012) Costs of dispersal. Biol Rev 87:290–312CrossRefGoogle Scholar
  5. Bowler DE, Benton TG (2005) Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics. Biol Rev 80:205–225CrossRefGoogle Scholar
  6. Braz E, Joly P (1993) Micro-habitat use, resource partitioning and ecological succession in a size-structured guild of newt larvae (g. Triturus, Caudata, Amphibia). Archiv Hydrobiol 131:129–139Google Scholar
  7. Buxton VL, Sperry JH (2016) Reproductive decisions in anurans: a review of how predation and competition affects the deposition of eggs and tadpoles. Bioscience 67:26–38CrossRefGoogle Scholar
  8. Camcho-Cervantes M, Ojanguren AF, Deacon AE, Ramnarine IW, Magurran AE (2014) Association tendency and preference for heterospecifics in an invasive species. Behaviour 151:769–780CrossRefGoogle Scholar
  9. Caspers BA, Steinfartz S (2011) Preference for the other sex: olfactory sex recognition in terrestrial fire salamanders (Salamandra salamandra). Amphibia-Reptil 32:503–508CrossRefGoogle Scholar
  10. Cayuela H, Pradel R, Joly P, Besnard A (2017) Analysing movement behaviour and dynamic space-use strategies among habitats using multi-event capture-recapture modelling. Methods Ecol Evol 8:1124–1132CrossRefGoogle Scholar
  11. Cayuela H, Pradel R, Joly P, Bonnaire E, Besnard A (2018a) Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling. Ecology 99:1150–1163CrossRefGoogle Scholar
  12. Cayuela H, Schmidt BR, Weinbach A, Besnard A, Joly P (2018b) Multiple density-dependent processes shape the dynamics of a spatially structured amphibian population. J Animal Ecol.  https://doi.org/10.1111/1365-2656.12906 CrossRefGoogle Scholar
  13. Chase JM (2003) Strong and weak trophic cascades along a productivity gradient. Oikos 101:187–195CrossRefGoogle Scholar
  14. Choquet R, Rouan L, Pradel R (2009) Program E-SURGE: a software application for fitting multi-event models. In: Thomson DL, Cooch EG, Conroy MJ (eds) Modeling demographic processes in marked populations. Springer, New York, pp 845–865CrossRefGoogle Scholar
  15. Clobert J, Le Galliard JF, Cote J, Meylan S, Massot M (2009) Informed dispersal, heterogeneity in animal dispersal syndromes and the dynamics of spatially structured populations. Ecol Lett 12:197–209CrossRefGoogle Scholar
  16. Diego-Rasilla FJ, Luengo RM (2004) Heterospecific call recognition and phonotaxis in the orientation behavior of the marbled newt, Triturus marmoratus. Behav Ecol Sociobiol 55:556–560CrossRefGoogle Scholar
  17. Doligez B, Danchin E, Clobert J (2002) Public information and breeding habitat selection in a wild bird population. Science 297:1168–1170CrossRefGoogle Scholar
  18. Fasola M (1993) Resource partitioning by three species of newts during their aquatic phase. Ecography 16:73–81CrossRefGoogle Scholar
  19. Fasola M, Canova L (1992) Feeding habits of Triturus vulgaris, T. cristatus and T. alpestris (Amphibia, Urodela) in the northern apennines (Italy). Ital J Zool 59:273–280Google Scholar
  20. Fletcher RJ (2007) Species interactions and population density mediate the use of social cues for habitat selection. J Anim Ecol 76:598–606CrossRefGoogle Scholar
  21. Forsman JT, Seppänen JT, Mönkkönen M (2002) Positive fitness consequences of interspecific interaction with a potential competitor. Proc R Soc Lond B Biol Sci 269:1619–1623CrossRefGoogle Scholar
  22. Forsman JT, Hjernquist MB, Taipale J, Gustafsson L (2008) Competitor density cues for habitat quality facilitating habitat selection and investment decisions. Behav Ecol 19:539–545CrossRefGoogle Scholar
  23. Gautier P, Olgun K, Uzum N, Miaud C (2006) Gregarious behaviour in a salamander: attraction to conspecific chemical cues in burrow choice. Behav Ecol Sociobiol 59:836–841CrossRefGoogle Scholar
  24. Gerla DJ, Mooij WM (2014) Alternative stable states and alternative end states of community assembly through intra- and interspecific positive and negative interactions. Theor Popul Biol 96:8–18CrossRefGoogle Scholar
  25. Griffiths RA, Wijer PD, May RT (1994) Predation and competition within an assemblage of larval newts (Triturus). Ecography 17:176–181CrossRefGoogle Scholar
  26. Gu H, Chen J, Ewing H, Liu X, Zhao J, Goodale E (2017) Heterospecific attraction to the vocalizations of birds in mass-fruiting trees. Behav Ecol Sociobiol 71:1–11CrossRefGoogle Scholar
  27. Hansson L (1991) Dispersal and connectivity in metapopulations. Biol J Linn Soc 42:89–103CrossRefGoogle Scholar
  28. Harrison S (1991) Local extinction in a metapopulation context: an empirical evaluation. Biol J Linn Soc 42:73–88CrossRefGoogle Scholar
  29. Howeth JG, Leibold MA (2007) Planktonic dispersal dampens temporal trophic cascades in pond metacommunities. Ecol Lett 11:245–257CrossRefGoogle Scholar
  30. Ims RA, Yoccoz NG (1997) Studying transfer processes in metapopulations: emigration, migration and colonization. In: Hanski IA, Gilpin ME (eds) Metapopulation biology: ecology, genetics, and evolution. Academic Press, San Diego, pp 247–265CrossRefGoogle Scholar
  31. Joly P, Giacoma C (1992) Limitation of similarity and feeding habits in three synthopic species of newt (Triturus). Ecography 15:401–411CrossRefGoogle Scholar
  32. Joly P, Miaud C (1993) How does a newt find its pond: the role of chemical cues in migrating alpine newt. Ethol Ecol Evol 5:447–455Google Scholar
  33. Joly P, Miaud C, Lehmann A, Grolet O (2001) Habitat matrix effects on pond occupancy in newts. Conserv Biol 15:239–248CrossRefGoogle Scholar
  34. Kivelä SM, Seppänen JT, Ovaskainen O, Doligez B, Gustafsson L, Mönkkönen M, Forsman JT (2014) The past and the present in decision-making: the use of conspecific and heterospecific cues in nest site selection. Ecology 95:3428–3439CrossRefGoogle Scholar
  35. Lagrange P, Pradel R, Bélisle M, Gimenez O (2014) Estimating dispersal among numerous sites using capture–recapture data. Ecology 95:2316–2323CrossRefGoogle Scholar
  36. Liebhold A, Koenig WD, Bjørnstad ON (2004) Spatial synchrony in population dynamics. Annu Rev Ecol Evol Syst 35:467–490CrossRefGoogle Scholar
  37. Loukola OJ, Seppänen JT, Krams I, Torvinen SS, Forsman JT (2013) Observed fitness may affect niche overlap in competing species via selective social information use. Am Nat 182:474–483CrossRefGoogle Scholar
  38. Lutscher F, Iljon T (2013) Competition, facilitation and the Allee effect. Oikos 122:621–631CrossRefGoogle Scholar
  39. Madden N, Jehle R (2017) Acoustic orientation in the great crested newt (Triturus cristatus). Amphibia-Reptil 38:57–65CrossRefGoogle Scholar
  40. Martin E, Caillère L (1982) Local enhancement in the Alpine newt, Triturus alpestris (Amphibia, Urodela) in aquatic phase. CR Biol 294:1105–1108Google Scholar
  41. Matthysen E (2012) Multicausality of dispersal: a review. In: Clobert J, Baguette M, Benton TG, Bullock JM (eds) Dispersal ecology and evolution. Oxford University Press, Oxford, pp 3–18CrossRefGoogle Scholar
  42. Mönkkönen M, Härdling R, Forsman JT, Tuomi J (1999) Evolution of heterospecific attraction: using other species as cues in habitat selection. Evol Ecol 13:93–106CrossRefGoogle Scholar
  43. Parejo D, Avilés JM (2016) Social information use by competitors: resolving the enigma of species coexistence in animals? Ecosphere 7:e01295CrossRefGoogle Scholar
  44. Parejo D, Danchin E, Avilés JM (2004) The heterospecific habitat copying hypothesis: can competitors indicate habitat quality? Behav Ecol 16:96–105CrossRefGoogle Scholar
  45. Parejo D, White J, Clobert J, Dreiss A, Danchin E (2007) Blue tits use fledgling quantity and quality as public information in breeding site choice. Ecology 88:2373–2382CrossRefGoogle Scholar
  46. Parejo D, Danchin É, Silva N, White JF, Dreiss AN, Avilés JM (2008) Do great tits rely on inadvertent social information from blue tits? A habitat selection experiment. Behav Ecol Sociobiol 62:1569–1579CrossRefGoogle Scholar
  47. Perret N, Joly P (2002) Impacts of tattooing and PIT-tagging on survival and fecundity in the alpine newt (Triturus alpestris). Herpetologica 58:131–138CrossRefGoogle Scholar
  48. Pineiro-Guerra JM, Fagundes-Pachon C, Oesterheld M, Arim M (2014) Biodiversity–productivity relationship in ponds: community and metacommunity patterns along time and environmental gradients. Austral Ecol 39:808–818CrossRefGoogle Scholar
  49. Pollock KH (1982) A capture-recapture design robust to unequal probability of capture. J Wildl Manag 46:752–757CrossRefGoogle Scholar
  50. Pradel R (2005) Multievent: an extension of multistate capture–recapture models to uncertain states. Biometrics 61:442–447CrossRefGoogle Scholar
  51. Pupin F, Sacchi R, Gentilli A, Galeotti P, Fasola M (2007) Discrimination of toad calls by smooth newts: support for the heterospecific attraction hypothesis. Anim Behav 74:1683–1690CrossRefGoogle Scholar
  52. Romano A, Forcina G, Barbanera F (2008) Breeding site selection by olfactory cues in the threatened northern spectacled salamander Salamandrina perspicillata (Savi, 1821). Aquat Conserv Mar Freshw Ecosyst 18:799–805CrossRefGoogle Scholar
  53. Ronce O (2007) How does it feel to be like a rolling stone? Ten questions about dispersal evolution. Annu Rev Ecol Evol Syst 38:231–253CrossRefGoogle Scholar
  54. Ronce O, Clobert J (2012) Dispersal syndromes. In: Clobert J, Baguette M, Benton TG, Bullock JM (eds) Dispersal ecology and evolution. Oxford University Press, Oxford, pp 119–138CrossRefGoogle Scholar
  55. Schmidt KA, Dall SR, Van Gils JA (2010) The ecology of information: an overview on the ecological significance of making informed decisions. Oikos 119:304–316CrossRefGoogle Scholar
  56. Sebastián-González E, Sánchez-Zapata JA, Botella F, Ovaskainen O (2010) Testing the heterospecific attraction hypothesis with time-series data on species co-occurrence. Proc R Soc Lond B Biol Sci 277:2983–2990CrossRefGoogle Scholar
  57. Secondi J, Johanet A, Pays O, Cazimajou F, Djalout Z, Lemaire C (2010) Olfactory and visual species recognition in newts and their role in hybridization. Behaviour 147:1693–1712CrossRefGoogle Scholar
  58. Seppänen JT, Forsman JT, Mönkkönen M, Thomson RL (2007) Social information use is a process across time, space, and ecology, reaching heterospecifics. Ecology 88:1622–1633CrossRefGoogle Scholar
  59. Sinsch U (2006) Orientation and navigation in Amphibia. Mar Freshw Behav Physiol 39:65–71CrossRefGoogle Scholar
  60. Sinsch U, Kirst C (2016) Homeward orientation of displaced newts (Triturus cristatus, Lissotriton vulgaris) is restricted to the range of routine movements. Ethol Ecol Evol 28:312–328CrossRefGoogle Scholar
  61. Souchay G, Gauthier G, Pradel R (2014) To breed or not: a novel approach to estimate breeding propensity and potential trade-offs in an Arctic-nesting species. Ecology 95:2745–2756CrossRefGoogle Scholar
  62. Stamps J (2001) Habitat selection by dispersers: integrating proximate and ultimate approaches. In: Clobert J, Danchin E, Dhondt A, Nichols J (eds) Dispersal. Oxford University Press, Oxford, pp 230–242Google Scholar
  63. Szostek KL, Schaub M, Becker PH (2014) Immigrants are attracted by local pre-breeders and recruits in a seabird colony. J Anim Ecol 83:1015–1024CrossRefGoogle Scholar
  64. Szymkowiak J, Thomson RL, Kuczyński L (2017) Interspecific social information use in habitat selection decisions among migrant songbirds. Behav Ecol 28:767–775CrossRefGoogle Scholar
  65. Tenan S, Fasola M, Volponi S, Tavecchia G (2017) Conspecific and not performance-based attraction on immigrants drives colony growth in a waterbird. J Anim Ecol 86:1074–1081CrossRefGoogle Scholar
  66. Tilman D (1987) The importance of the mechanisms of interspecific competition. Am Nat 129:769–774CrossRefGoogle Scholar
  67. Treer D, Van Bocxlaer I, Matthijs S, Du Four D, Janssenswillen S, Willaert B, Bossuyt F (2013) Love is blind: indiscriminate female mating responses to male courtship pheromones in newts (Salamandridae). PLoS One 8:e56538CrossRefGoogle Scholar
  68. Unglaub B, Steinfartz S, Drechsler A, Schmidt BR (2015) Linking habitat suitability to demography in a pond-breeding amphibian. Front Zool 12:9CrossRefGoogle Scholar
  69. Vellend M (2010) Conceptual synthesis in community ecology. Q Rev Biol 85:183–206CrossRefGoogle Scholar
  70. Werner EE, Skelly DK, Relyea RA, Yurewicz KL (2007a) Amphibian species richness across environmental gradients. Oikos 116:1697–1712CrossRefGoogle Scholar
  71. Werner EE, Yurewicz KL, Skelly DK, Relyea RA (2007b) Turnover in an amphibian metacommunity: the role of local and regional factors. Oikos 116:1713–1725CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.IBIS, Department of BiologyUniversity LavalQuebec CityCanada
  2. 2.UMR 5023, LEHNA, Université de Lyon, Université Lyon1-CNRS-ENTPEVilleurbanneFrance

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