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How important is individual foraging specialisation in invasive predators for native-prey population viability?

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Abstract

Predation by invasive species is a major threat to the persistence of naïve prey. Typically, this negative effect is addressed by suppressing the population size of the invasive predator to a point where the predation pressure does not hinder the viability of the prey. However, this type of intervention may not be effective whenever a few specialised predators are the cause of the decline. We investigated the effects of varying levels of specialised invasive stoats (Mustela erminea) abundance on the long-term viability of simulated kiwi (Apteryx spp.) populations. We explored four scenarios with different proportions of highly specialised stoats, which were those that had a ≥ 0.75 probability of predating kiwi eggs and chicks if they were within their home range: (i) a stoat population composed mostly of generalists (mean: 0.5 probability of predation across the population); (ii) 5% of highly specialised stoats and the remaining being generalists; (iii) 10% of highly specialised stoats and the remaining being generalists; and, (iv) half highly specialised stoats and half generalists. We found that stoat home range sizes, rather than stoat density or the density of highly specialised stoats, was the main driver of kiwi population trends. Stoats with large home ranges were more likely to predate kiwi eggs and chicks as these were more likely to fall within a large home range. More broadly, our findings show how the daily individual ranging and foraging behaviour of an invasive predator can scale-up to shape population trends of naïve prey.

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References

  • Abrams PA (2010) Quantitative descriptions of resource choice in ecological models. Popul Ecol 52:47–58

    Google Scholar 

  • Anderson DP, McMurtrie P, Edge KA et al (2016) Inferential and forward projection modeling to evaluate options for controlling invasive mammals on islands. Ecol Appl 26:2548–2559. https://doi.org/10.1002/eap.1415

    Article  Google Scholar 

  • Anton A, Geraldi NR, Ricciardi A, Dick JT (2020) Global determinants of prey naiveté to exotic predators. Proc R Soc B 287:20192978

    PubMed  Google Scholar 

  • Araújo MS, Bolnick DI, Layman CA (2011) The ecological causes of individual specialisation. Ecol Lett 14:948–958

    PubMed  Google Scholar 

  • Alterio N, Moller H, Brown K (1999) Trappability and densities of stoats (Mustela erminea) and ship rats (Rattus rattus) in a South Island Nothofagus forest, New Zealand. N Z J Ecol 23:95–100

    Google Scholar 

  • Basse B, McLennan JA, Wake GC (1999) Analysis of the impact of stoats, Mustela erminea, on northern brown kiwi, Apteryx mantelli, in New Zealand. Wildl Res 26:227–237

    Google Scholar 

  • Bell WJ (1990) Searching behaviour: the behavioural ecology of finding resources. Springer, Berlin

    Google Scholar 

  • Bodner K, Fortin M-J, Molnár PK (2020) Making predictive modelling ART: accurate, reliable, and transparent. Ecosphere 11:e03160

    Google Scholar 

  • Bourdon E, Castanet J, De Ricqlès A et al (2009) Bone growth marks reveal protracted growth in New Zealand kiwi (Aves, Apterygidae). Biol Lett 5:639–642

    PubMed  PubMed Central  Google Scholar 

  • Brown JA, Miller CA (1998) Monitoring stoat Mustela erminea control operations: power analysis and design. Department of Conservation, Wellington, New Zealand

  • Brook BW, O’Grady JJ, Chapman AP et al (2000) Predictive accuracy of population viability analysis in conservation biology. Nature 404:385–387

    CAS  PubMed  Google Scholar 

  • Clayton RI, Byrom AE, Anderson DP et al (2011) Density estimates and detection models inform stoat (Mustela erminea) eradication on Resolution Island, New Zealand. In: Veitch CR, Clout MN, Towns DR (eds) Island invasives: eradication and management., Gland, Switzerland, IUCN. IUCN, Gland, Switzerland, pp 413–417

  • Cockrem JF, Goudswaard R, Sibley MD et al (1992) The breeding season of three species of kiwi (Apteryx) in captivity as determined from egg-laying dates. J Zool 226:95–107

    Google Scholar 

  • Colbourne R, Bassett S, Billing T et al (2005) The development of operation nest egg as a tool in the conservation management of kiwi. Department of Conservation, Wellington

    Google Scholar 

  • Conroy MJ, Peterson JT (2013) Decision making in natural resource management: a structured, adaptive approach. Wiley, West Sussex

    Google Scholar 

  • Cruz J, Pech RP, Seddon PJ et al (2013) Species-specific responses by ground-nesting Charadriiformes to invasive predators and river flows in the braided Tasman River of New Zealand. Biol Conserv 167:363–370

    Google Scholar 

  • de Valpine P, Turek D, Paciorek CJ et al (2017) Programming with models: writing statistical algorithms for general model structures with NIMBLE. J Comput Graph Stat 26:403–413. https://doi.org/10.1080/10618600.2016.1172487

    Article  Google Scholar 

  • Dick JTA, Laverty C, Lennon JJ et al (2017) Invader relative impact potential: a new metric to understand and predict the ecological impacts of existing, emerging and future invasive alien species. J Appl Ecol 54:1259–1267. https://doi.org/10.1111/1365-2664.12849

    Article  Google Scholar 

  • Dickman CR, Newsome TM (2015) Individual hunting behaviour and prey specialisation in the house cat Felis catus: implications for conservation and management. Appl Anim Behav Sci 173:76–87

    Google Scholar 

  • Dietze MC (2017) Ecological forecasting. Princeton University Press, Princeton

    Google Scholar 

  • Doherty TS, Glen AS, Nimmo DG et al (2016) Invasive predators and global biodiversity loss. Proc Natl Acad Sci 113:11261–11265

    CAS  PubMed  Google Scholar 

  • Driscoll DA, Lindenmayer DB (2012) Framework to improve the application of theory in ecology and conservation. Ecol Monogr 82:129–147. https://doi.org/10.1890/11-0916.1

    Article  Google Scholar 

  • Efford MG, Dawson DK, Jhala YV, Qureshi Q (2016) Density-dependent home-range size revealed by spatially explicit capture–recapture. Ecography 39:676–688. https://doi.org/10.1111/ecog.01511

    Article  Google Scholar 

  • Elliott G, Kemp J (2016) Large-scale pest control in New Zealand beech forests. Ecol Manag Restor 17:200–209. https://doi.org/10.1111/emr.12227

    Article  Google Scholar 

  • Gelman A, Carlin JB, Stern HS, Rubin DB (2013) Bayesian data analysis, 3rd edn. CRC Press, Boca Raton

    Google Scholar 

  • Getz WM, Marshall CR, Carlson CJ et al (2018) Making ecological models adequate. Ecol Lett 21:153–166

    PubMed  Google Scholar 

  • Griffiths K (1999) Stoat control in New Zealand: a review. PhD Thesis, University of Otago, Dunedin, New Zealand

  • Hobbs NT, Hooten MB (2015) Bayesian models: a statistical primer for ecologists. Princeton University Press, Princeton

    Google Scholar 

  • Holt RD (1977) Predation, apparent competition, and the structure of prey communities. Theor Popul Biol 12:197–229

    CAS  PubMed  Google Scholar 

  • Holzapfel S, Robertson HA, McLennan JA et al (2008) Kiwi (Apteryx spp.) recovery plan. Department of Conservation, Wellington

    Google Scholar 

  • Hooten MB, Hobbs NT (2015) A guide to Bayesian model selection for ecologists. Ecol Monogr 85:3–28. https://doi.org/10.1890/14-0661.1

    Article  Google Scholar 

  • IUCN (2017) The IUCN red list of threatened species. Version 2017–3. IUCN

  • Jetz W, Carbone C, Fulford J, Brown JH (2004) The scaling of animal space use. Science 306:266–268. https://doi.org/10.1126/science.1102138

    Article  CAS  PubMed  Google Scholar 

  • Jones HP, Holmes ND, Butchart SH et al (2016) Invasive mammal eradication on islands results in substantial conservation gains. Proc Natl Acad Sci 113:4033–4038

    CAS  PubMed  Google Scholar 

  • Jolly JN (1989) A field study of the breeding biology of the little spotted kiwi (Apteryx owenii) with emphasis on the causes of nest failures. J R Soc N Z 19:433–448

    Google Scholar 

  • Kéry M, Royle AJ (2016) Applied hierarchical modeling in ecology. Analysis of distribution, abundance and species richness in R and BUGS. Academic Press, London

    Google Scholar 

  • Keye C, Roschak C, Ross JG (2011) Summer home range size and population density of great spotted kiwi (Apteryx haastii) in the North Branch of the Hurunui River, New Zealand. Notornis 58:22–30

    Google Scholar 

  • King CM, Moors PJ (1979) On co-existence, foraging strategy and the biogeography of weasels and stoats (Mustela nivalis and M. erminea) in Britain. Oecologia 39:129–150

    CAS  PubMed  Google Scholar 

  • King CM, Powell RA (2007) Natural history of weasels and stoats. Oxford University Press, Oxford

    Google Scholar 

  • King CM, Powell RA (2011) Managing an invasive predator pre-adapted to a pulsed resource: a model of stoat (Mustela erminea) irruptions in New Zealand beech forests. Biol Invasions 13:3039–3055

    Google Scholar 

  • Köhnke MC, Binny RN, Holland EP, James A (2020) The necessity of tailored control of irrupting pest populations driven by pulsed resources. Theor Ecol 1:1–15

    Google Scholar 

  • Law EA, Ferraro PJ, Arcese P et al (2017) Projecting the performance of conservation interventions. Biol Conserv 215:142–151. https://doi.org/10.1016/j.biocon.2017.08.029

    Article  Google Scholar 

  • McCreless EE, Huff DD, Croll DA et al (2016) Past and estimated future impact of invasive alien mammals on insular threatened vertebrate populations. Nat Commun 7:12488

    CAS  PubMed  PubMed Central  Google Scholar 

  • McLennan JA, Rudge MR, Potter MA (1987) Range size and denning behaviour of Brown kiwi, Apteryx australis mantelli, in Hawke’s Bay, New Zealand. N Z J Ecol 10:97–107

    Google Scholar 

  • McLennan JA, Potter MA, Robertson HA et al (1996) Role of predation in the decline of kiwi, Apteryx spp., in New Zealand. NZ J Ecol 20:27–35

    Google Scholar 

  • McLennan JA, Dew L, Miles J et al (2004) Size matters: predation risk and juvenile growth in North Island brown kiwi (Apteryx mantelli). NZ J Ecol 1:241–250

    Google Scholar 

  • Miskelly CM, Dowding JE, Elliott GP et al (2008) Conservation status of New Zealand birds, 2008. Notornis 55:117–135

    Google Scholar 

  • Murphy E, Maddigan F, Edwards B, Clapperton K (2008) Diet of stoats at Okarito Kiwi Sanctuary, South Westland, New Zealand. N Z J Ecol 32:41–45

    Google Scholar 

  • Murphy EC, Bradfield P (1992) Change in diet of stoats following poisoning of rats in a New Zealand forest. N Z J Ecol 16:137–140

    Google Scholar 

  • Murphy EC, Dowding JE (1994) Range and diet of stoats (Mustela erminea) in a New Zealand beech forest. N Z J Ecol 18:11–18

    Google Scholar 

  • Murphy EC, Dowding JE (1995) Ecology of the stoat in Nothofagus forest: home range, habitat use and diet at different stages of the beech mast cycle. N Z J Ecol 19:97–109

    Google Scholar 

  • Nathan R, Getz WM, Revilla E et al (2008) A movement ecology paradigm for unifying organismal movement research. Proc Natl Acad Sci 105:19052–19059

    CAS  PubMed  Google Scholar 

  • Niebuhr BB, Wosniack ME, Santos MC et al (2015) Survival in patchy landscapes: the interplay between dispersal, habitat loss and fragmentation. Sci Rep 5:11898

    PubMed  PubMed Central  Google Scholar 

  • Norbury GL, Pech RP, Byrom AE, Innes J (2015) Density-impact functions for terrestrial vertebrate pests and indigenous biota: Guidelines for conservation managers. Biol Conserv 191:409–420. https://doi.org/10.1016/j.biocon.2015.07.031

    Article  Google Scholar 

  • O’Hara RB, Sillanpää MJ (2009) A review of Bayesian variable selection methods: what, how and which. Bayesian Anal 4:85–117

    Google Scholar 

  • Pettorelli N, Coulson T, Durant SM, Gaillard J-M (2011) Predation, individual variability and vertebrate population dynamics. Oecologia 167:305

    PubMed  Google Scholar 

  • Pierce RJ, Westbrooke IM (2003) Call count responses of North Island brown kiwi to different levels of predator control in Northland, New Zealand. Biol Conserv 109:175–180

    Google Scholar 

  • Prowse TAA, Bradshaw CJA, Delean S et al (2016) An efficient protocol for the global sensitivity analysis of stochastic ecological models. Ecosphere 7:e01238. https://doi.org/10.1002/ecs2.1238

    Article  Google Scholar 

  • R Development Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

    Google Scholar 

  • Robertson HA (2004) Research and monitoring plan for the kiwi sanctuaries. Department of Conservation, Wellington, New Zealand

  • Robertson HA, Colbourne RM (2004) Survival of little spotted kiwi (Apteryx owenii) on Kapiti Island. Notornis 51:161–16

    Google Scholar 

  • Robertson HA, Colbourne RM, Graham PJ et al (2011) Experimental management of brown kiwi Apteryx mantelli in central Northland, New Zealand. Bird Conserv Int 21:207–220

    Google Scholar 

  • Saether B-E, Bakke Ø (2000) Avian life history variation and contribution of demographic traits to the population growth rate. Ecology 81:642–653

    Google Scholar 

  • Saltelli A, Ratto M, Andres T et al (2008) Global sensitivity analysis: the primer. John Wiley & Sons, West Sussex, UK

    Google Scholar 

  • Sih A, Bolnick DI, Luttbeg B et al (2010) Predator–prey naïveté, antipredator behavior, and the ecology of predator invasions. Oikos 119:610–621

    Google Scholar 

  • Smith DH, Wilson DJ, Moller H et al (2008) Stoat density, diet and survival compared between alpine grassland and beech forest habitats. N Z J Ecol 32:166–176

    Google Scholar 

  • Sofaer HR, Jarnevich CS, Pearse IS (2018) The relationship between invader abundance and impact. Ecosphere 9:e02415

    Google Scholar 

  • Stephens DW, Krebs JR (1986) Foraging theory. Princeton University Press, Princeton

    Google Scholar 

  • Stephens DW, Brown JS, Ydenberg RC (2007) Foraging: behavior and ecology. University of Chicago Press, Chicago

    Google Scholar 

  • Swan GJ, Redpath SM, Bearhop S, McDonald RA (2017) Ecology of problem individuals and the efficacy of selective wildlife management. Trends Ecol Evol 32:518–530

    PubMed  Google Scholar 

  • Taborsky B, Taborsky M (1999) The mating system and stability of pairs in kiwi Apteryx spp. J Avian Biol 1:143–151

    Google Scholar 

  • Travers H, Selinske M, Nuno A et al (2019) A manifesto for predictive conservation. Biol Conserv 237:12–18

    Google Scholar 

  • Treves A (2009) Hunting for large carnivore conservation. J Appl Ecol 46:1350–1356. https://doi.org/10.1111/j.1365-2664.2009.01729.x

    Article  Google Scholar 

  • Turchin P (2003) Complex population dynamics: a theoretical/empirical synthesis. Princeton University Press, Princeton

    Google Scholar 

  • White GC, Garrott RA (2012) Analysis of wildlife radio-tracking data. Elsevier, Amsterdam

    Google Scholar 

  • Yokomizo H, Possingham HP, Thomas MB, Buckley YM (2009) Managing the impact of invasive species: the value of knowing the density–impact curve. Ecol Appl 19:376–386

    PubMed  Google Scholar 

  • Ziesemann B, Brunton DH, Castro IC (2011) Nesting success and breeding ecology in a high-density population of Brown kiwi (Apteryx mantelli). Emu 111:148–154

    Google Scholar 

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Acknowledgements

A. Lustig and A. Gormley (Manaaki Whenua) provided critical feedback on a previous version of this manuscript that helped improve it. Thanks to H. Robertson, Jo Ledington, I. Castro, J. Innes, and K. Zub whose feedback helped focus and improve a previous version of this manuscript. This work was supported by the Ministry of Business, Innovation and Employment (New Zealand Government) programme “Security for iconic species: kiwi rescue.” PG-D was partially supported by NERC grant NE/S011641/1 under the Newton Latam programme.

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PG-D, RNB, and DPA jointly developed, discussed, and agreed on the models and scenarios; PG-D wrote the computer scripts and ran the models (including the simulations, scenarios, and statistical analyses), with contributions by RNB. PG-D, RNB, and DPA discussed and interpreted the results and findings; PG-D led the manuscript writing with substantial contributions by RNB and DPA.

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Correspondence to Pablo García-Díaz.

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Communicated by Janne Sundell.

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García-Díaz, P., Binny, R.N. & Anderson, D.P. How important is individual foraging specialisation in invasive predators for native-prey population viability?. Oecologia 195, 261–272 (2021). https://doi.org/10.1007/s00442-020-04814-6

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