Thanks to visit codestin.com
Credit goes to link.springer.com

Skip to main content
Log in

Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends

  • Research Article
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Context

Understanding the factors limiting populations of animals is critical for effective conservation. Determining which factors limit populations of migratory species can be especially challenging because of their reliance on multiple, often geographically distant regions during their annual cycles.

Objectives

We investigated whether distribution-wide variation in recent breeding population trends was more strongly associated with exposure to risk factors experienced during migration (i.e., natural and anthropogenic threats often associated with increased mortality or carry-over effects) or factors associated with breeding and nonbreeding areas in golden-winged warblers (Vermivora chrysoptera) and blue-winged warblers (V. cyanoptera), two Nearctic-Neotropical migrants experiencing regionally variable population trends.

Methods

We used geolocator data from 85 Vermivora warblers (n = 90 geolocator tracks) tracked from North American breeding locations and Central American nonbreeding locations from 2013 to 2017 to determine variation in space use among populations. We assessed whether differences in space use among populations of Vermivora warblers during migration were associated with exposure to migration risk-factors and whether increased relative exposure to migration risk factors was associated with population declines at regional and subregional scales.

Results

Regional and subregional populations of Vermivora warblers exhibited variation in space use and exposure to anthropogenic and natural risk-factors. However, we found no evidence that recent variation in population trends of Vermivora warblers was associated with risk-factors experienced by different populations during migration. Instead, factors associated with land cover-types in breeding and nonbreeding areas were more strongly associated with recent population trends.

Conclusions

Understanding how populations of migratory birds are affected by factors experienced during migration is critical for their conservation. We did not find evidence that variation in exposure to migration risk-factors is associated with recent regional or subregional variation in Vermivora warbler population trends. Consequently, our results suggest that efforts to reverse ongoing population declines of Vermivora warblers may be more effective if directed toward conservation actions targeting limiting factors within the breeding and nonbreeding periods versus those directed at conditions encountered during migration. We caution that geographic variation in projected land-use change may differentially affect areas used by different populations of Vermivora warblers during migration, posing a potential threat to these species in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from £29.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Aldinger KR (2018) Ecology and management of golden-winged warblers (Vermivora chrysoptera) and associated avian species in the Allegheny Mountains of West Virginia. PhD Dissertation. West Virginia University, Morgantown, WV. https://researchrepository.wvu.edu/etd/7152.

  • Arnold TA, Zink RM (2011) Collision mortality has no discernible effect on population trends of North American birds. PLoS ONE 6:e24708

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Baiz MD, Kramer GR, Streby HM, Taylor SA, Lovette IJ, Toews DPL (2020) Genomic and plumage variation in Vermivora hybrids. Auk 137:ukaa027

    Article  Google Scholar 

  • Bennett RE (2019) GWWA geolocators. Retrieved from OSF repository https://doi.org/10.17605/OSF.IO/CEK45.

  • Bennett RE, Swarthout SB, Bolsinger JS, Rodewald AD, Rosenberg KV, Rohrbaugh RW (2017) Extreme genetic similarity does not predict non-breeding distribution of two closely related warblers. J Field Ornithol 88:156–168

    Article  Google Scholar 

  • Bennett RE, Rodewald AD, Rosenberg KV (2019a) Overlooked sexual segregation of habitats exposes female migratory landbirds to threats. Biol Conserv 240:108266

    Article  Google Scholar 

  • Bennett RE, Rodewald AD, Rosenberg KV, Chandler RV, Chavarria-Duriaux L, Gerwin JA, King DI, Larkin JL (2019b) Drivers of variation in migration behavior for a linked population of long-distance migratory passerine. Auk 136:ukx051

    Article  Google Scholar 

  • Berger J (2004) The last mile: how to sustain long-distance migration in mammals. Conserv Biol 18:320–331

    Article  Google Scholar 

  • Blake JG (1986) Species-area relationship of migrants in isolated woodlots in east-central Illinois. Wilson Bull 98:291–296

    Google Scholar 

  • Breeding Bird Survey Regional Trend Analysis Form. 1966–2015 Analysis. U.S. Geological Survey. https://www.mbr-pwrc.usgs.gov/bbs/trend/tf15.html. Accessed 1 Jan 2023.

  • Buchnan C, Franco AMA, Catry I, Gamero A, Klvanová GJJ (2022) Spatially explicit risk mapping reveals direct anthropogenic impacts on migratory birds. Glob Ecol Biogeogr 00:1–19

    Google Scholar 

  • Cabrera-Cruz SA, Smolinsky JA, Buler JJ (2018) Light pollution is greatest within migration passage areas or nocturnally-migrating birds around the world. Sci Rep 8:3261

    Article  PubMed  PubMed Central  Google Scholar 

  • Carrascal LM, Galván I, Gordo O (2009) Partial least squares regression as an alternative to current regression methods used in ecology. Oikos 118:681–690

    Article  Google Scholar 

  • Delancey CD, Islam K, Kramer GR, MacDonald GJ, Sharp AR, Connare BM (2020) Geolocators reveal migration routes, stopover sites, and nonbreeding dispersion in a population of cerulean warblers. Anim Migr 7:19–26

    Article  Google Scholar 

  • Dionne M, Maurice C, Gauthier J, Shaffer F (2008) Impact of hurricane Wilma on migrating birds: the case of the chimney swift. Wilson J Ornithol 120:784–792

    Article  Google Scholar 

  • Ekstrom PA (2004) An advance in geolocation by light. Memoirs of National Institute of Polar Research Special Issue 58:210–226

    Google Scholar 

  • Faaborg J, Holmes RT, Anders AD, Bildstein KL, Dugger KM, Gauthreaux SA Jr, Heglund P, Hobson KA, Jahn AE, Johnson DH, Latta SC, Levey DJ II, Marra PP, Merkord CL, Nol E, Rothstein SI, Sherry TW, Sillett TS, Thompson FR III, Warnock N (2010) Conserving migratory land birds in the New World: do we know enough? Ecol Appl 20:398

    Article  PubMed  Google Scholar 

  • Federal Communications Commission (FCC) Geospatial Data, United States (2012) Federal Communications Commission (FCC) Media Bureau and Wireless Telecommunications Bureau. http://wireless.fcc.gov/geographic/index.htm?job=licensing_database_extracts.

  • Fischer SE (2020) Post-fledging and migration ecology of gray vireos (Vireo vicinior) and using ArtScience to explore gender and identity. Master’s thesis. University of Toledo, Toledo, OH. http://rave.ohiolink.edu/etdc/view?acc_num=toledo158895774132047.

  • Flockhart DTT, Pichancourt JB, Norris DR, Martin TG (2015) Unravelling the annual cycle in a migratory animal: breeding-season habitat loss drives population declines of monarch butterflies. J Anim Ecol 84:155–165

    Article  PubMed  Google Scholar 

  • Gandini P, Boersma PD, Frere E, Gandini M, Holik T, Lichtschein V (1994) Magellanic penguins (Sphieniscus magellanicus) affected by chronic petroleum pollution along coast of Chubut, Argentina. Auk 111:20–27

    Article  Google Scholar 

  • Goldewijk K, Beusen A, Janssen P (2010) Long term dynamic modeling of global population and built-up area in a spatially explicit way, HYDE 3.1. Holocene 20:565–573

    Article  Google Scholar 

  • Goldewijk K, Beusen A, de Vos M, van Drecht G (2011) The HYDE 3.1 spatially explicit database of human induced land use change over the past 12,000 years. Global Ecol Biogeogr 20:73–86

    Article  Google Scholar 

  • Heinsohn R, Webb M, Lacy R, Terauds A, Alderman R, Stojanovic D (2015) A severe predator-induced population decline predicted for endangered, migratory swift parrots (Lathamus discolor). Biol Conserv 186:75–82

    Article  Google Scholar 

  • Hewson CM, Thorup K, Pearce-Higgins JW, Atkinson PW (2016) Population decline is linked to migration route in the common cuckoo. Nat Commun 7:12296

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hill RD, Bruan MJ (2001) Geolocation by light-level–next step: latitude. In: Sibert JR, Nielsen J (eds) Electronic tagging and tracking in marine fisheries. Kluwer Academic Publishers, Dordrecht, pp 315–330

    Chapter  Google Scholar 

  • Hill JM, Renfrew RB (2019) Migratory patterns and connectivity of two North American grassland bird species. Ecol Evol 9:680–692

    Article  PubMed  Google Scholar 

  • Hoen BD, Diffendorfer JE, Rand JT, Kramer LA, Garrity CP, Hunt HE (2018) United States Wind Turbine Database (ver. 2.3, January 2020): U.S. Geological Survey, American Wind Energy Association, and Lawrence Berkeley National Laboratory data release. https://doi.org/10.5066/F7TX3DN0.

  • Imdadullah M, Aslam M (2018) mctest: multicollinearity diagnostic measures. https://CRAN.R-project.org/package=mctest. R package version 1.3.1

  • Imdadullah M, Aslam M, Altaf S (2016) mctest: an R package for detection of collinearity among regressors. R J 8:499–509

    Article  Google Scholar 

  • Kassambara A, Mundt F (2019) factoextra: extract and visualize the results of multivariate data analyses. R package version 1.0.6. https://CRAN.R-project.org/package=factoextra.

  • Kerlinger P (2000) Avian mortality at communication towers: a review of recent literature, research, and methodology. US Fish Wildl Publ. https://digitalcommons.unl.edu/usfwspubs/162.

  • Klem D Jr (1989) Bird: window collisions. Wilson Bull 101:606–620

    Google Scholar 

  • Knight SM, Pitman GM, Flockhart DTT, Norris DR (2019) Radio-tracking reveals how wind and temperature influence the pace of daytime insect migration. Biol Lett 15:20190327

    Article  PubMed  PubMed Central  Google Scholar 

  • Kramer GR, Streby HM, Peterson SM, Lehman JA, Buehler DA, Wood PB, McNeil DJ, Larkin JL, Andersen DE (2017) Nonbreeding isolation and population-specific migration patterns among three populations of golden-winged warblers. Condor 119:108–121

    Article  Google Scholar 

  • Kramer GR, Andersen DE, Buehler DA, Wood PB, Peterson SM, Lehman JA, Aldinger KR, Bulluck LP, Harding S, Jones JA, Loegering JP, Smalling C, Vallender R, Streby HM (2018a) Population trends in Vermivora warblers are linked to strong migratory connectivity. Proc Natl Acad Sci USA 115:E3192–E2300

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kramer GR, Andersen DE, Buehler DA, Wood PB, Peterson SM, Lehman JA, Aldinger KR, Bulluck LP, Harding S, Jones JA, Loegering JP, Smalling C, Vallender R, Streby HM (2018b) Data from range-wide study of migratory connectivity of Vermivora warblers. Retrieved from the University of Minnesota Digital Conservancy. http://hdl.handle.net/:70968.

  • Kramer GR, Pagel RK, Maley K, Ziegler C, Peterson SM, Andersen DE, Buehler DA, Streby HM (2020) Say what? Bivalent singing in Vermivora warblers. Ecology 101:e02881

    Article  PubMed  Google Scholar 

  • Kramer GR, Andersen DE, Buehler DA, Wood PB, Peterson SM, Lehman JA, Aldinger KR, Bulluck LP, Harding S, Jones JA, Loegering JP, Smalling C, Vallender R, Streby HM (2023) Data and code supporting “Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends”. Retrieved from the University of Minnesota Digital Conservancy. https://hdl.handle.net/11299/250610.

  • Landsea CW, Franklin JL (2013) Atlantic Hurricane Database uncertainty and presentation of a new database format. Mon Weather Rev 141:3576–3592

    Article  Google Scholar 

  • Legagneux P, Fast PLF, Gauthier G, Bêty J (2012) Manipulating individual state during migration provides evidence for carry-over effects modulated by environmental conditions. Proc R Soc Lond B 279:876–883

    Google Scholar 

  • Lehman JA (2017) Survival and habitat selection of golden-winged warblers (Vermivora chrysoptera) during nesting and post-fledging periods at North Cumberland Wildlife Management Area, Tennessee. Master’s thesis. University of Tennessee, Knoxville, TN. https://trace.tennessee.edu/utk_gradthes/4953.

  • Levin SA (1992) The problem of pattern and scale in ecology. Ecology 73:1943–1967

    Article  Google Scholar 

  • Link WA, Sauer JR (2002) A hierarchical analysis of population change with application to cerulean warblers. Ecology 83:2832–2840

    Article  Google Scholar 

  • Lloyd P, Martin TE, Redmond RL, Langner U, Hart MM (2005) Linking demographic effects of habitat fragmentation across landscapes to continental source-sink dynamics. Ecol Appl 15:1504–1514

    Article  Google Scholar 

  • Longcore T, Rich C, Mineau P, MacDonald B, Bert DG, Sullivan LM, Mutrie E, Gauthreaux SA Jr, Avery ML, Crawford RL, Manville AM II, Travis ER, Drake D (2013) Avian mortality at communications towers in the United States and Canada: which species, how many, and where? Biol Conserv 158:410–419

    Article  Google Scholar 

  • Loss SR, Will T, Marra PP (2013) Estimates of bird collision mortality at wind facilities in the contiguous United States. Biol Cons 168:201–209

    Article  Google Scholar 

  • Loss SR, Will T, Loss SS, Marra PP (2014) Bird-building collisions in the United States: estimates of annual mortality and species vulnerability. Condor 116:8–23

    Article  Google Scholar 

  • Loss SR, Will T, Marra PP (2015) Direct mortality of birds from anthropogenic causes. Annu Rev Ecol Evol S 46:99–120

    Article  Google Scholar 

  • Machtans CS, Wedeles CHR, Bayne EM (2013) A first estimate for Canada of the number of birds killed by colliding with building windows. Avian Conserv Ecol 8:6

    Google Scholar 

  • Marra PP, Cohen EB, Loss SR, Rutter JE, Tonra CM (2015) A call for full annual cycle research in animal ecology. Biol Lett 11:20150552

    Article  PubMed  PubMed Central  Google Scholar 

  • McKinnon EA, Love OP (2018) Ten years tracking the migration of small landbirds: lessons learned in the golden-age of bio-logging. Auk 135:834–856. https://doi.org/10.1642/AUK-17-202.1

    Article  Google Scholar 

  • McNeil DJ (2019) Population dynamics of species recovery: multiscale demography in restored habitats. PhD Dissertation. Cornell University, Ithaca, NY

  • Mihoub JB, Gimenez O, Pilard P, Sarrazin F (2010) Challenging conservation of migratory species: Sahelian rainfalls drive first-year survival of the vulnerable lesser kestrel Falco naumanni. Biol Conserv 143:839–847

    Article  Google Scholar 

  • Milner-Gulland EJ, Bukreeva OM, Coulson T, Lushchekina AA, Kholodova MV, Bekenov AB, Grachev IA (2003) Reproductive collapse in saiga antelope harems. Nature 422:135

    Article  CAS  PubMed  Google Scholar 

  • National Oceanic and Atmospheric Administration (2018) Severe Weather Database Files (1950–2017). https://www.spc.noaa.gov/wcm/#data.

  • Newton I (2006) Can conditions experienced during migration limit the population levels of birds? J Ornithol 147:146–166

    Article  Google Scholar 

  • Newton I (2007) Weather-related mass-mortality events in migrants. Ibis 149:453–467

    Article  Google Scholar 

  • Nicholson MC, Bowyer RT, Kie JG (1997) Habitat selection and survival of mule deer: tradeoffs associated with migration. J Mammal 78:483–504

    Article  Google Scholar 

  • Oakleaf JR, Kennedy CM, Baruch-Mordo S, West PC, Gerber JS, Jarvis L, Kiesecker J (2015) A world at risk: aggregating development trends to forecast global habitat conversion. PLoS ONE 10:e0138334

    Article  PubMed  PubMed Central  Google Scholar 

  • Oakleaf JR, Kennedy CM, Baruch-Mordo S, West PC, Gerber JS, Jarvis L, Kiesecker J (2019) Development Threat Index. NASA Socioeconomic Data and Applications Center (SEDAC), Palisades

  • Osborn RG, Higgins KF, Usgaard RE, Dieter CD, Neiger RD (2000) Bird mortality associated with wind turbines at the Buffalo Ridge Wind Resource Area, Minnesota. Am Midl Nat 143:41–52

    Article  Google Scholar 

  • O’Shea TJ, Cryan PM, Hayman DTS, Plowright RK, Streicker DG (2016) Multiple mortality events in bats: a global review. Mammal Rev 46:175–190

    Article  Google Scholar 

  • Peterson SM, Streby HM, Kramer GR, Lehman JA, Buehler DA, Andersen DE (2015) Geolocators on golden-winged warblers do not affect migratory ecology. Condor 117:256–261

    Article  Google Scholar 

  • Probst JR (1986) A review of factors limiting the Kirtland’s warbler on its breeding grounds. Am Midl Nat 116:87–100

    Article  Google Scholar 

  • Rakhimberdiev E, Saveliev A (2019) FLightR: SSM for solar geolocation. R package version 0.4.9. http://github.com/eldarrak/FLightR.

  • Rakhimberdiev E, Winkler D, Bridge E, Seavy N, Sheldon D, Piersma T, Saveliev D (2015) A hidden Markov model for reconstructing animal paths from solar geolocation loggers using templates for light intensity. Mov Ecol 3:25

    Article  PubMed  PubMed Central  Google Scholar 

  • Rakhimberdiev E, Senner NR, Verhoeven MA, Winkler DW, Bouten W, Piersma T (2016) Comparing inferences of solar geolocation data against high-precision GPS data: annual movements of a double-tagged black-tailed godwit. J Avian Biol 47:589–596

    Article  Google Scholar 

  • Rappole JH, Tipton AR (1991) New harness design for attachment of radio transmitters to small passerines. J Field Ornithol 62:335–337

    Google Scholar 

  • Renfrew R, Kim D, Perlut N, Cadman MD (2019) Migration tactics of a long-distance migratory songbird from across a continental breeding range. Wilson J Ornithol 131:735–749

    Article  Google Scholar 

  • Rohrbaugh RW, Buehler DA, Swarthout SB, King DI, Larkin JL, Rosenberg KV, Roth AM, Vallender R, Will T (2016) Conservation perspectives: review of new science and primary threats to golden-winged warblers. In: Streby HM, Andersen DE, Buehler DA (eds) Golden-winged warbler ecology, conservation and habitat management. Studies in Avian biology, vol 49. CRC Press, Boca Raton, pp 207–215

    Google Scholar 

  • Rosenberg KV, Will T, Buehler DA, Swarthout SB, Thogmartin WE, Bennett RE, Chandler RB (2016) Dynamic distributions and population declines of golden-winged warblers. In: Streby HM, Andersen DE, Buehler DA (eds) Golden-winged warbler ecology, conservation and habitat management. Studies in Avian biology, vol 49. CRC Press, Boca Raton, pp 3–28

    Google Scholar 

  • Rushing CS, Van Tatenhove AM, Sharp AJ, Ruiz-Gutierrez V, Freeman MC, Sykes PW, Given AM, Sillett TS (2020) Integrating tracking and resight data enables unbiased inferences about migratory connectivity and winter range survival from archival tags. Ornithol Appl 123:duab010

    Google Scholar 

  • Sauer JR, Niven DK, Hines JE, Ziolkowski DJ, Pardieck KL, Fallon JE, Link WA (2017) The North American Breeding Bird Survey, Results and Analysis 1966–2015. Version 2.07.2017 USGS Patuxent Wildlife Research Center, Laurel, MD.

  • Sawatsky ML, Clyde M, Meek F (2015) Partial least squares regression in the social sciences. Quant Methods Psychol 11:52–62

    Article  Google Scholar 

  • Sherry TW (2018) Identifying migratory birds’ population bottlenecks in time and space. Proc Natl Acad Sci USA 115:3515–3517

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sillett TS, Holmes RT (2002) Variation in survivorship of a migratory songbird throughout its annual cycle. J Anim Ecol 71:296–308

    Article  Google Scholar 

  • Smallwood KS (2013) Comparing bird and bat fatality-rate estimates among North-American wind-energy projects. Wild Soc Bull 37:19–33

    Article  Google Scholar 

  • Streby HM, Kramer GR, Peterson SM, Lehman JA, Buehler DA, Andersen DE (2015a) Tornadic storm avoidance behavior in breeding songbirds. Curr Biol 25:98–102

    Article  CAS  PubMed  Google Scholar 

  • Streby HM, McAllister TL, Peterson SM, Kramer GR, Lehman JA, Andersen DE (2015b) Minimizing marker mass and handling time when attaching radio-transmitters and geolocators to small songbirds. Condor 117:249–255. https://doi.org/10.1650/CONDOR-14-182.1

    Article  Google Scholar 

  • Streby HM, Peterson SM, Andersen DE (2016) Survival and habitat use of fledgling golden-winged warblers in the western Great Lakes region. In: Streby HM, Andersen DE, Buehler DA (eds) Golden-winged warbler ecology, conservation and habitat management. Studies in Avian biology, vol 49. CRC Press, Boca Raton, pp 127–140

    Chapter  Google Scholar 

  • Streby HM, Kramer GR, Peterson SM, Andersen DE (2018) Evaluating outcomes of young forest management on a target species of conservation concern. PeerJ 6:e4319

    Article  PubMed  PubMed Central  Google Scholar 

  • Studds CE, Kendall BE, Murray NJ, Wilson HB, Rogers DI, Clemens RS, Gosbell K, Hassell CJ, Jessop R, Melville DS, Milton DA, Minton CDT, Possingham HP, Riegen AC, Straw P, Woehler EJ, Fuller RA (2017) Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites. Nat Commun 8:14895. https://doi.org/10.1038/ncomms14895

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Stutchbury BJM, Tarof SA, Done T, Gow E, Kramer PM, Tautin J, Fox JW, Afanasyev V (2009) Tracking long-distance songbird migration by using geolocators. Science 323:896. https://doi.org/10.1126/science.1166664

    Article  CAS  PubMed  Google Scholar 

  • Toews DPL, Taylor SA, Vallender R, Brelsford A, Butcher BG, Messer PW, Lovette IJ (2016) Plumage genes and little else distinguish the genomes of hybridizing warblers. Curr Biol 26:2313–2318

    Article  CAS  PubMed  Google Scholar 

  • Toews DPL, Baiz MD, Kramer GR, Lovette IJ, Streby HM, Taylor SA (2021) Extensive historical and contemporary hybridization suggests premating isolation in Vermivora warblers is not strong: a reply to Confer et al. Ecol Evol 11:10720–10723. https://doi.org/10.1002/ece3.7327

    Article  PubMed  PubMed Central  Google Scholar 

  • U.S. Geological Survey (1997) Global Land Cover Characterization Program. Version 1.2. Archived by National Aeronautics and Space Administration, U.S. Government, USGS. http://landcover.usgs.gov/glcc/.

  • Van Doren BM, Horton KG, Dokter AM, Klinck H, Elbin SB, Farnsworth A (2017) High-intensity urban light installation dramatically alters nocturnal bird migration. Proc Natl Acad Sci USA 114:11175–11180

    Article  PubMed  PubMed Central  Google Scholar 

  • Vallender R, Friesen VL, Robertson RJ (2007) Paternity and performance of golden-winged warblers (Vermivora chrysoptera) and golden-winged x blue-winged warbler (V. pinus) hybrids at the leading edge of a hybrid zone. Behav Ecol Sociobiol 61:1797–1807

    Article  Google Scholar 

  • Weber TP, Houston AI, Ens BJ (1999) Consequences of habitat loss at migratory stopover sites: a theoretical investigation. J Avian Biol 30:416–426

    Article  Google Scholar 

  • Webster MS, Marra PP, Haig SM, Bensch S, Holmes RT (2002) Links between worlds: unraveling migratory connectivity. Trends Ecol Evol 17:76–83

    Article  Google Scholar 

  • Wiedenfeld DA, Wiedenfeld MG (1995) Large kill of neotropical migrants by tornado and storm in Louisiana, April 1993. J Field Ornithol 66:70–80

    Google Scholar 

  • Wilcove DS, Wikelski M (2008) Going, going, gone: is animal migration disappearing? PLoS Biol 6:e188

    Article  PubMed  PubMed Central  Google Scholar 

  • Wildlife Conservation Society—WCS, and Center for International Earth Science Information Network—CIESIN—Columbia University (2005) Last of the Wild Project, Version 2, 2005 (LWP-2): global human footprint dataset (geographic). NASA Socioeconomic Data and Applications Center (SEDAC), Palisades. https://doi.org/10.7927/H4M61H5F

  • Wilson S, Saracco JF, Krikun R, Flockhart DTT, Godwin CM, Foster KR (2018) Drivers of demographic decline across the annual cycle of a threatened migratory bird. Sci Rep 8:7316

    Article  PubMed  PubMed Central  Google Scholar 

  • Winger BM, Auteri GG, Pegan TM, Weeks BC (2019) A long winter for the Red Queen: rethinking the evolution of seasonal migration. Biol Rev 94:737–752

    Article  PubMed  Google Scholar 

  • Yang D, Yang A, Yang J, Xu R, Qiu H (2021) Unprecedented migratory bird die-off: a citizen-based analysis on the spatiotemporal patterns of mass mortality events in the western United States. GeoHealth 5:e2021GH000395

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank M. Barber, M. Barnes, J. Bell, J. Chancey, L. Coe-Starr, C. Colley, E. Davis, J. Dodson, K. Eckert, R. Eckstein, R. Fenty, C. Fiss, M. Gallagher, B. Gray, A. Grupenhoff, C. Henderson, L. Hendrixson, N. Henke, E. Hess, L. Hoehn, J. Kawlewski, B. Keinath, J. Koberdahl, L. Loegering, S. McLaughlin, S. Midthune, L. Mielke, D. Miles, M. Morin, N. Moy, J. Nelson, A. Pesano, S. Prevost, J. Reubesam, M. Schilling, N. Seeger, L. Schofield, A. Tomcho, S. Wallace, J. Warmbold, J. Wessels, A. Worm, B. Yliniemi, and others for assistance in the field. We are especially grateful to N. Hill, K. Maley, D. McNeil, R. Pagel, P. Rodrigues, K. Stein, and C. Ziegler for their commitment to the project, and to W. Ford, W. Brininger, A. Hewitt, D. King, J. Larkin, and H. Saloka for providing logistical support. We thank J. Bossenbroek, J. Luscier, and two anonymous reviewers for comments improving earlier drafts of this manuscript. Data used in this manuscript were gathered from publicly available repositories and therefore required no permits. Funding for this project was provided by the U.S. Fish and Wildlife Service and the U.S. Geological Survey through Research Work Order 98 at the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit, and by the National Science Foundation through Postdoctoral Research Fellowship 1202729. Additional funding was provided by the University of Toledo College of Graduate Studies through a Graduate Dean’s Fellowship, the Virginia Department of Wildlife Resources and the Grace Jones Richardson Trust. None of our funders had any influence on the content of the submitted or published manuscript, and only the U.S. Geological Survey required approval of the final manuscript prior to publication as required in their Fundamental Sciences Practices protocols. Use of trade names does not imply endorsement by the U.S. Geological Survey or any other institutions affiliated with this study. Code and metadata necessary to recreate these analyses are available at https://hdl.handle.net/11299/250610 (Kramer et al. 2023).

Author information

Authors and Affiliations

Authors

Contributions

DEA, DAB, PBW, HMS, and GRK designed the study. GRK, SMP, JAL, KRA, LPB, JAJ, JPL, CS, and HMS collected data. GRK analyzed the data and prepared figures. GRK prepared the first draft with the help of DEA, DAB, PBW, and HMS. All authors reviewed the manuscript. DEA, DAB, PBW, HMS, LPB, SH, CS, and GRK secured funding.

Corresponding author

Correspondence to Gunnar R. Kramer.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 1733 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kramer, G.R., Andersen, D.E., Buehler, D.A. et al. Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends. Landsc Ecol 38, 2357–2380 (2023). https://doi.org/10.1007/s10980-023-01701-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1007/s10980-023-01701-2

Keywords