Population Ecology

, Volume 58, Issue 4, pp 525–533 | Cite as

Temporal variability in the way local habitat affects duck population growth

  • Richard E. Feldman
  • Michael G. Anderson
  • David W. Howerter
  • Dennis L. Murray
Original article
  • 196 Downloads

Abstract

Climate change is expected to lead to greater temporal climatic variability across broad spatial extents. A potential consequence is that shifts in climatic conditions might alter how local habitat affects the population growth of animals dependent on those habitats for at least part of their life cycle. We tested whether such a phenomenon occurred when the North American Prairie Pothole Region transitioned through periods of wet and dry conditions by modeling the population growth of seven duck species over 52 years (1961–2012). We found that the influence of local habitat quality—indexed by wetland availability—on duck population growth varied in magnitude and direction on an annual basis. While the effect of wetlands was relatively small in most years, there were some years in which wetlands strongly affected duck population growth in both positive and negative directions (e.g., negative in 2002 and positive in 2008). Contrary to our expectation, inter-annual variability in the effect of wetlands on duck population growth did not depend on regional precipitation. We also found that for two species—American Wigeon (Anas americana) and Green-winged Teal (A. carolinensis)—duck population growth in the presence of wetlands rarely differed from what would be expected solely under density dependence. Our study is the first to demonstrate that the effect of local habitat on population growth varies over time even if the cause of that variation remains unexplained. Consequently, any study that attempts to identify a species’ critical habitat using time series abundance data must consider that local relationships are non-stationary. More complicated measures of climate change may reveal how local drivers of population growth depend on broader temporal climatic patterns.

Keywords

Anas Climate change Drought INLA Prairie Pothole Region Wetlands 

Supplementary material

10144_2016_560_MOESM1_ESM.pdf (1.6 mb)
Supplementary material 1 (PDF 1676 kb)

References

  1. Bahn V, McGill BJ (2007) Can niche-based distribution models outperform spatial interpolation? Glob Ecol Biogeogr 16:733–742CrossRefGoogle Scholar
  2. Beguin J, Martino S, Rue H, Cumming SG (2012) Hierarchical analysis of spatially autocorrelated ecological data using integrated nested Laplace approximation. Methods Ecol Evol 3:921–929CrossRefGoogle Scholar
  3. Bivand R, Gómez-Rubio V, Rue H (2015) Spatial data analysis with R-INLA with some extensions. J Stat Softw 63:1–31Google Scholar
  4. Blangiardo M, Cameletti M (2015) Spatial and spatio-temporal Bayesian models with R-INLA. Wiley, ChichesterCrossRefGoogle Scholar
  5. Brown CR, Brown MB (2014) Breeding time in a migratory songbird is predicted by drought severity and group size. Ecology 95:2736–2744CrossRefGoogle Scholar
  6. Clark JS, Bjørnstad ON (2004) Population time series: process variability, observation errors, missing values, lags, and hidden states. Ecology 85:3140–3150CrossRefGoogle Scholar
  7. Cudworth NL, Koprowski JL (2013) Foraging and reproductive behavior of Arizona gray squirrels (Sciurus arizonensis): impacts of climatic variation. J Mammal 94:683–690CrossRefGoogle Scholar
  8. Dennis B, Ponciano JM, Taper ML (2010) Replicated sampling increases efficiency in monitoring biological populations. Ecology 91:610–620CrossRefPubMedGoogle Scholar
  9. Drever MC, Wins-Purdy A, Nudds TD, Clark RG (2004) Decline of duck nest success revisited: relationships with predators and wetlands in dynamic prairie environments. Auk 121:497–508CrossRefGoogle Scholar
  10. Feldman RE, Anderson MG, Howerter DW, Murray DL (2015) Where does environmental stochasticity most influence population dynamics? An assessment along a regional core-periphery gradient for prairie breeding ducks. Glob Ecol Biogeogr 24:896–904CrossRefGoogle Scholar
  11. Fowler NL, Pease CM (2010) Temporal variation in the carrying capacity of a perennial grass population. Am Nat 175:504–512CrossRefPubMedGoogle Scholar
  12. Greenwood RJ, Sargeant AB, Johnson DH, Cowardin LM, Shaffer TL (1995) Factors associated with duck nest success in the Prairie Pothole Region of Canada. Wildl Monogr 128:3–57Google Scholar
  13. Jamieson LE, Brooks SP (2004) Density dependence in North American ducks. Anim Biodivers Conserv 27:113–128Google Scholar
  14. Johnson DH, Grier JW (1988) Determinants of breeding distributions of ducks. Wildl Monogr 100:3–37Google Scholar
  15. Johnson WC, Millett BV, Gilmanov T, Voldseth RA, Guntenspergen GR, Naugle DE (2005) Vulnerability of northern prairie wetlands to climate change. Bioscience 55:863–872CrossRefGoogle Scholar
  16. Krapu GL, Klett A, Jorde D (1983) The effect of variable spring water conditions on mallard reproduction. Auk 100:689–698Google Scholar
  17. Lande R (1993) Risks of population extinction from demographic and environmental stochasticity and random catastrophes. Am Nat 142:911–927CrossRefGoogle Scholar
  18. Lebreton J-D, Gimenez O (2013) Detecting and estimating density dependence in wildlife populations. J Wildl Manage 77:12–23CrossRefGoogle Scholar
  19. Levin SA (1992) The problem of pattern and scale in ecology. Ecology 73:1943–1967CrossRefGoogle Scholar
  20. Lillegård M, Engen S, Sæther B-E, Grøtan V, Drever MC (2008) Estimation of population parameters from aerial counts of North American mallards: a cautionary tale. Ecol Appl 18:197–207CrossRefPubMedGoogle Scholar
  21. Lindgren F, Rue H (2015) Bayesian spatial modelling with R-INLA. J Stat Softw 63:1–25CrossRefGoogle Scholar
  22. Maron JL, Baer KC, Angert AL (2014) Disentangling the drivers of context-dependent plant-animal interactions. J Ecol 102:1485–1496CrossRefGoogle Scholar
  23. McIntire EJB, Fajardo A (2009) Beyond description: the active and effective way to infer processes from spatial patterns. Ecology 90:46–56CrossRefPubMedGoogle Scholar
  24. Millett BV, Johnson WC, Guntenspergen GR (2009) Climate trends of the North American prairie pothole region 1906–2000. Clim Change 93:243–267CrossRefGoogle Scholar
  25. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatol 25:693–712CrossRefGoogle Scholar
  26. Murkin HR, Ross L (2000) Invertebrates in prairie wetlands. In: Murkin HR, van der Valk A, Clark W (eds) Prairie wetland ecology: the contribution of the Marsh Ecology Research Program. Iowa State University Press, Ames, pp 201–248Google Scholar
  27. Murray DL, Anderson MG, Steury TD (2010) Temporal shift in density dependence among North American breeding duck populations. Ecology 91:571–581CrossRefPubMedGoogle Scholar
  28. Phillips ML, Clark WR, Sovada MA, Horn DJ, Koford RR, Greenwood RJ (2003) Predator selection of prairie landscape features and its relation to duck nest success. J Wildl Manage 67:104–114CrossRefGoogle Scholar
  29. Purves DW (2009) The demography of range boundaries versus range cores in eastern US tree species. Proc Biol Sci 276:1477–1484CrossRefPubMedPubMedCentralGoogle Scholar
  30. R Development Core Team (2016) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org
  31. Ricklefs RE (2013) Habitat-independent spatial structure in populations of some forest birds in eastern North America. J Anim Ecol 82:145–154CrossRefPubMedGoogle Scholar
  32. Ross BE, Hooten MB, Koons DN (2012) An accessible method for implementing hierarchical models with spatio-temporal abundance data. PLoS One 7:1–8Google Scholar
  33. Ross BE, Hooten MB, Devink J, Koons DN (2015) Combined effects of climate, predation, and density dependence on Scaup population dynamics. Ecol Appl 25:1606–1617CrossRefPubMedGoogle Scholar
  34. Rue H, Martino S, Chopin N (2009) Approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations (with discussion). J R Statistical Soc B 71:319–392CrossRefGoogle Scholar
  35. Sæther B-E, Lillegård M, Grøtan V, Drever MC, Engen S, Nudds TD, Podruzny KM (2008) Geographical gradients in the population dynamics of North American prairie ducks. J Anim Ecol 77:869–882CrossRefPubMedGoogle Scholar
  36. Sauer JR, Hines JE, Fallon KL, Pardieck DJ, Ziolkowski DJ Jr, Link WA (2014) The North American Breeding Bird Survey, Results and Analysis 1966–2012. Version 02.19.2014. USGS Patuxent Wildlife Research Center, LaurelGoogle Scholar
  37. Smith GW (1995) A critical review of the aerial and ground surveys of breeding waterfowl in North America. Biological Science Report 5, National Biological Service, Washington D.CGoogle Scholar
  38. Sorenson LG, Goldberg R, Root TL, Anderson MG (1998) Potential effects of global warming on waterfowl populations breeding in the Northern Great Plains. Clim Change 40:343–369CrossRefGoogle Scholar
  39. Thomas A, Best N, Lunn D, Arnold R, Spiegelhalter D (2004) GeoBUGS User Manual, v 1.2. http://www.mrc-bsu.cam.ac.uk/bugs. Accessed 30 Sept 2012
  40. van Buuren S, Groothuis-Oudshoorn K (2011) mice: Multivariate Imputation by Chained Equations in R. J Stat Softw 45:1–67CrossRefGoogle Scholar
  41. Vickery WL, Nudds TD (1984) Detection of density-dependent effects in annual duck census. Ecology 65:96–104CrossRefGoogle Scholar
  42. Viljugrein H, Stenseth NC, Smith GW, Steinbakk GH (2005) Density dependence in North American ducks. Ecology 86:245–254CrossRefGoogle Scholar
  43. Walker J, Rotella JJ, Stephens SE, Lindberg MS, Ringelman JK, Hunter C, Smith AJ (2013) Time-lagged variation in pond density and primary productivity affects duck nest survival in the Prairie Pothole Region. Ecol Appl 23:1061–1074CrossRefPubMedGoogle Scholar
  44. Werner BA, Johnson WC, Guntenspergen GR (2013) Evidence for 20th century climate warming and wetland drying in the North American Prairie Pothole Region. Ecol Evol 3:3471–3482PubMedPubMedCentralGoogle Scholar
  45. Williams CK, Ives AR, Applegate RD (2003) Population dynamics across geographical ranges: time-series analyses of three small game species. Ecology 84:2654–2667CrossRefGoogle Scholar
  46. Winder M, Schindler DE (2004) Climate change uncouples trophic interactions in an aquatic ecosystem. Ecology 85:2100–2106CrossRefGoogle Scholar
  47. Yang LH, Bastow JL, Spence KO, Wright AN (2008) What can we learn from resource pulses? Ecology 89:621–634CrossRefPubMedGoogle Scholar
  48. Yeager LA, Stoner EW, Zapata MJ, Layman CA (2014) Does landscape context mediate the nature of density dependence for a coral reef fish? Ecol Appl 24:1833–1841CrossRefGoogle Scholar
  49. Zimpfer NL, Rhodes WE, Silverman ED, Zimmerman, GS, Richkus KD (2012) Trends in duck breeding populations 1955-2012, Administrative Report. US Fish and Wildlife Service, Division of Migratory Bird Management, LaurelGoogle Scholar

Copyright information

© The Society of Population Ecology and Springer Japan 2016

Authors and Affiliations

  • Richard E. Feldman
    • 1
    • 3
  • Michael G. Anderson
    • 2
  • David W. Howerter
    • 2
  • Dennis L. Murray
    • 1
  1. 1.Department of BiologyTrent UniversityPeterboroughCanada
  2. 2.Institute for Wetland and Waterfowl Research, Ducks Unlimited CanadaStonewallCanada
  3. 3.Centro de Investigación Científica de Yucatán A.C., Unidad de Recursos NaturalesMéridaMexico

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