The hidden effect of inadvertent social information use on fluctuating predator–prey dynamics

Evolutionary Ecology - Tập 35 - Trang 101-114 - 2020
Zoltán Tóth1
1Department of Zoology, Plant Protection Institute, Centre for Agricultural Research, Budapest, Hungary

Tóm tắt

Understanding biotic interactions and abiotic forces that govern population regulation is crucial for predicting stability from both theoretical and applied perspectives. In recent years, social information has been proposed to profoundly affect the dynamics of populations and facilitate the coexistence of interacting species. However, we have limited knowledge about how social information use influences cyclic and non-cyclic fluctuations of populations and if any population-level effects can be expected in species where individuals do not form social groups. In this study, I built individual-based models in a factorial design to investigate how predator avoidance behaviour and associated inadvertent social information (ISI) use alters the predictions of classical predator–prey population models in non-grouping (e.g., randomly moving) animals. Simulation results showed that ISI use in prey stabilized population dynamics by disrupting high-amplitude cyclic fluctuations in both predator and prey populations. Moreover, it also decreased the strength of the negative feedback of second-order dependence between predator and prey. I propose that if social cues are commonly used sources of information in animals regardless of the level of social organization, then similar social information-mediated effects on trophic interactions and population dynamics may be prevalent in natural communities.

Tài liệu tham khảo

Andreassen HP, Glorvigen P, Rémy A, Ims RA (2013) New views on how population-intrinsic and community-extrinsic processes interact during the vole population cycles. Oikos 122(4):507–515 Andreassen HP, Johnsen K, Joncour B, Neby M, Odden M (2020) Seasonality shapes the amplitude of vole population dynamics rather than generalist predators. Oikos 129(1):117–123 Berryman A, Lima M (2007) Detecting the order of population dynamics from time series: nonlinearity causes spurious diagnosis. Ecology 88(8):2121–2123 Berryman A, Turchin P (2001) Identifying the density-dependent structure underlying ecological time series. Oikos 92(2):265–270 Bjørnstad ON, Grenfell BT (2001) Noisy clockwork: time series analysis of population fluctuations in animals. Science 293(5530):638–643 Box GEP, Jenkins GM (1976) Time Series Analysis. Forecasting and Control. Holden-Day, San Francisco, pp 64–65 Brodie ED, Feldman CR, Hanifin CT, Motychak JE, Mulcahy DG, Williams BL, Brodie ED Jr (2005) Parallel arms races between garter snakes and newts involving tetrodotoxin as the phenotypic interface of coevolution. J Chem Ecol 31(2):343–356 Chitty D (1967) The natural selection of self-regulatory behaviour in animal populations. Proc Ecol Soc Aust 2:51–78 Chivers DP, Ferrari MC (2014) Social learning of predators by tadpoles: does food restriction alter the efficacy of tutors as information sources? Anim Behav 89:93–97 Coolen I, Dangles O, Casas J (2005) Social learning in noncolonial insects? Curr Biol 15:1931–1935 Cortez MH, Weitz JS (2014) Coevolution can reverse predator–prey cycles. Proc Natl Acad Sci USA 111(20):7486–7491 Danchin E, Giraldeau L-A, Valone TJ, Wagner RH (2004) Public information: from nosy neighbors to cultural evolution. Science 305:487–491 Falk JJ, ter Hofstede HM, Jones PL, Dixon MM, Faure PA, Kalko EK, Page RA (2015) Sensory-based niche partitioning in a multiple predator–multiple prey community. Proc R Soc B Biol Sci 282(1808):20150520 Gehr B, Hofer EJ, Ryser A, Vimercati E, Vogt K, Keller LF (2018) Evidence for nonconsumptive effects from a large predator in an ungulate prey? Behav Ecol 29(3):724–735 Gil MA, Hein AM (2017) Social interactions among grazing reef fish drive material flux in a coral reef ecosystem. Proc Natl Acad Sci U S A 114(18):4703–4708 Gil MA, Emberts Z, Jones H, St Mary CM (2017) Social information on fear and food drives animal grouping and fitness. Am Nat 189(3):227–241 Gil MA, Hein AM, Spiegel O, Baskett ML, Sih A (2018) Social information links individual behavior to population and community dynamics. Trends Ecol Evol 33(7):535–548 Gil MA, Baskett ML, Schreiber SJ (2019) Social information drives ecological outcomes among competing species. Ecology 100(11):e02835 Gilg O, Hanski I, Sittler B (2003) Cyclic dynamics in a simple vertebrate predator-prey community. Science 302(5646):866–868 Goodale E, Beauchamp G, Magrath RD, Nieh JC, Ruxton GD (2010) Interspecific information transfer influences animal community structure. Trends Ecol Evol 25(6):354–361 Hanski I, Henttonen H, Korpimäki E, Oksanen L, Turchin P (2001) Small-rodent dynamics and predation. Ecology 82(6):1505–1520 Heyes C (2012) What’s social about social learning? J Comp Psychol 126(2):193 Heyes C (2016) Who knows? Metacognitive social learning strategies. Trends Cogn Sci 20(3):204–213 Heyes C, Pearce JM (2015) Not-so-social learning strategies. Proc R Soc B Biol Sci 282(1802):20141709 Inchausti P, Halley J (2003) On the relation between temporal variability and persistence time in animal populations. J Anim Ecol 72(6):899–908 Kane A, Kendall CJ (2017) Understanding how mammalian scavengers use information from avian scavengers: cue from above. J Anim Ecol 86(4):837–846 Krause J, Ruxton GD (2002) Living in groups. Oxford University Press, Oxford Krebs CJ (2013) Population fluctuations in rodents. University of Chicago Press, Chicago Krebs CJ, Boonstra R, Boutin S (2018) Using experimentation to understand the 10-year snowshoe hare cycle in the boreal forest of North America. J Anim Ecol 87(1):87–100 Lea AJ, Barrera JP, Tom LM, Blumstein DT (2008) Heterospecific eavesdropping in a nonsocial species. Behav Ecol 19(5):1041–1046 Lotka AJ (1925) Elements of Physical Biology. Williams & Wilkins, Baltimore Louca S, Doebeli M (2015) Detecting cyclicity in ecological time series. Ecology 96(6):1724–1732 Magrath RD, Haff TM, Fallow PM, Radford AN (2015) Eavesdropping on heterospecific alarm calls: from mechanisms to consequences. Biol Rev 90(2):560–586 Martínez AE, Pollock HS, Kelley JP, Tarwater CE (2018) Social information cascades influence the formation of mixed-species foraging aggregations of ant-following birds in the Neotropics. Anim Behav 135:25–35 Martínez-Padilla J, Redpath SM, Zeineddine M, Mougeot F (2014) Insights into population ecology from long-term studies of red grouse Lagopus lagopus scoticus. J Anim Ecol 83(1):85–98 Millon A, Bretagnolle V (2008) Predator population dynamics under a cyclic prey regime: numerical responses demographic parameters and growth rates. Oikos 117(10):1500–1510 Moss R, Watson A (2001) Population cycles in birds of the grouse family (Tetraonidae). Adv Ecol Res 32:53–111 Myers JH (1990) Population cycles of western tent caterpillars: an attempt to initiate out-of-phase fluctuations through experimental introductions. Ecology 71:986–995 Myers JH, Cory JS (2016) Ecology and evolution of pathogens in natural populations of Lepidoptera. Evol Appl 9(1):231–247 Myers JH (2018) Population cycles: generalities exceptions and remaining mysteries. Proc R Soc B Biol Sci 285(1875):20172841 Nicholson AJ, Bailey VA (1935) The balance of animal populations. Proc Zool Soc Lond 3:551–598 Oli MK (2003) Population cycles of small rodents are caused by specialist predators: or are they? Trends Ecol Evol 18(3):105–107 Oli MK (2019) Population cycles in voles and lemmings: state of the science and future directions. Mamm Rev 49(3):226–239 Parejo D, Avilés JM (2016) Social information use by competitors: resolving the enigma of species coexistence in animals? Ecosphere 7(5):e01295 Peckarsky BL, Abrams PA, Bolnick DI, Dill LM, Grabowski JH, Luttbeg B, Orrock JL et al (2008) Revisiting the classics: considering nonconsumptive effects in textbook examples of predator–prey interactions. Ecology 89(9):2416–2425 Preisser EL, Orrock JL, Schmitz OJ (2007) Predator hunting mode and habitat domain alter nonconsumptive effects in predator–prey interactions. Ecology 88(11):2744–2751 R Core Team 2019 R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria Radchuk V, Ims RA, Andreassen HP (2016) From individuals to population cycles: the role of extrinsic and intrinsic factors in rodent populations. Ecology 97(3):720–732 Randler C (2006) Red squirrels (Sciurus vulgaris) respond to alarm calls of Eurasian jays (Garrulus glandarius). Ethology 112(4):411–416 Row JR, Wilson PJ, Murray DL (2014) Anatomy of a population cycle: the role of density dependence and demographic variability on numerical instability and periodicity. J Anim Ecol 83(4):800–812 Sridhar H, Guttal V (2018) Friendship across species borders: factors that facilitate and constrain heterospecific sociality. Phil Trans R Soc B 373(1746):20170014 Trefry SA, Hik DS (2009) Eavesdropping on the neighbourhood: collared pika (Ochotona collaris) responses to playback calls of conspecifics and heterospecifics. Ethology 115(10):928–938 Volterra V (1926) Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. Mem Accad Lincei 2:31–113 Webster MM, Laland KN (2017) Social information use and social learning in non-grouping fishes. Behav Ecol 28:1547–1552 Wilson AM, Hubel TY, Wilshin SD, Lowe JC, Lorenc M, Dewhirst OP, Bartlam-Brooks HLA et al (2018) Biomechanics of predator–prey arms race in lion, zebra, cheetah and impala. Nature 554(7691):183–188