Using the North American Breeding Bird Survey to assess broad-scale response of the continent's most imperiled avian community, grassland birds, to weather variability

Jessica M. Gorzo, Anna M. Pidgeon, Wayne E. Thogmartin, Andrew J. Allstadt, Volker C. Radeloff, Patricia J. Heglund, Stephen J. Vavrus

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Avian populations can respond dramatically to extreme weather such as droughts and heat waves, yet patterns of response to weather at broad scales remain largely unknown. Our goal was to evaluate annual variation in abundance of 14 grassland bird species breeding in the northern mixed-grass prairie in relation to annual variation in precipitation and temperature. We modeled avian abundance during the breeding season using North American Breeding Bird Survey (BBS) data for the U.S. Badlands and Prairies Bird Conservation Region (BCR 17) from 1980 to 2012. We used hierarchical Bayesian methods to fit models and estimate the candidate weather parameters standardized precipitation index (SPI) and standardized temperature index (STI) for the same year and the previous year. Upland Sandpiper (Bartramia longicauda) responded positively to within-year STI (β = 0.101), and Baird's Sparrow (Ammodramus bairdii) responded negatively to within-year STI (β =-0.161) and positively to within-year SPI (β = 0.195). The parameter estimates were superficially similar (STI β =-0.075, SPI β = 0.11) for Grasshopper Sparrow (Ammodramus savannarum), but the bestselected model included an interaction between SPI and STI. The best model for both Eastern Kingbird (Tyrannus tyrannus) and Vesper Sparrow (Pooecetes gramineus) included the additive effects of within-year SPI (β=-0.032 and β= -0.054, respectively) and the previous-year's SPI (β=-0.057 and-0.02, respectively), although for Vesper Sparrow the lag effect was insignificant. With projected warmer, drier weather during summer in the Badlands and Prairies BCR, Baird's and Grasshopper sparrows may be especially threatened by future climate change.

Original languageEnglish (US)
Pages (from-to)502-512
Number of pages11
JournalCondor
Volume118
Issue number3
DOIs
StatePublished - Jul 1 2016

Bibliographical note

Publisher Copyright:
© 2016 Cooper Ornithological Society.

Keywords

  • Bayesian
  • Breeding
  • Climate
  • Drought
  • INLA
  • SPI
  • STI
  • Weather

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