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LCB Research: Extreme Weather and Birds, 2011-2016

Our previous research showed surprisingly large changes in counts of birds (from the North American Breeding Bird Survey) following droughts and heat waves measured with weather station data and remote sensing. In this collection of projects, we looked more closely at understanding population-level responses to weather and climate change. A larger project participated in also involved modeling avian demography in response to future climate change and testing the ability of our conservation networks to help these birds ride out extreme weather.

People: Sadoti, Albright

Key collaborators: Patricia Heglund (US Fish and Wildlife Service), Anna Pidgeon (UW-Madison), Kristine Johnson (New Mexico Natural Heritage), Resit Akcakaya (Stony Brook U.), Wayne Thogmartin (USGS), Stephen Vavrus (UW-Madison), Curtis Flather (US Forest Service), and Volker Radeloff (UW-Madison)

Funding: NASA-Bioresponse, subaward from US FWS to Albright, New Mexico Natural Heritage, Nevada NASA Space Grant to Sadoti

Relevant Publications

  • Sadoti G*, TP Albright, K Johnson, 2017, Applying dynamic species distribution modelling to lek-mating species, Journal of Biogeography, 44(1):75-87, doi:10.1111/jbi.12886.

  • Bateman, BL, AM Pidgeon, VC Radeloff, CH Flather , J VanDerWal, HR Akçakaya, W Thogmartin, T Albright, S Vavrus, P Heglund, 2016, Potential breeding distributions of U.S. birds predicted with both short-term variability and long-term average climate data, Ecological Applications, 26(8):2720-2731, 10.1002/eap.1416

  • Sadoti G*, K Johnson , TP Albright, 2016, Modelling environmental and survey influences on lek attendance using long-term lek survey data, Ibis, 158, 821–833, 10.1111/ibi.12391.

  • Behnke, R, SJ Vavrus, A Allstadt, TP Albright, W Thogmartin, V Radeloff, 2016, Evaluation of downscaled, gridded climate data for the conterminous United States, Ecological Applications, 26(5):1338-1351, 10.1002/15-1061

  • Sadoti, G*, MG Pollock, KT Vierling, TP Albright, EK Strand, 2014, Variogram models reveal habitat gradients predicting patterns of territory occupancy and nest survival among vesper sparrows, Wildlife Biology, 20(2):97-107, DOI:10.2981/WLB.13056.

Predicted changes in the distribution of Lesser Prairie-Chickens (Tympanuchus pallidicinctus), Chaves County, New Mexico, 1985-2011. Predictions are from multi-season occupancy models in which colonization and extinction were functions of landscape characteristics (vegetation and disturbance) and weather (temperature and precipitation). From Sadoti et al. 2017.

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