Abstract
As climate change accelerates, many species must move poleward or upslope to conserve their environmental niches and limit their exposure. While such geographic redistributions have been extensively reported, an assessment of species’ success in limiting their exposure to novel conditions is missing. Here we report on a method to account for biases in tens of millions of species observations and evaluate how 406 bird species native to the United States and Canada have mitigated their environmental niche loss using geographical redistribution. We find that most redistributions have only been partially effective at mitigating exposure to climate change. Over 20 years, species, on average, have redistributed their summertime ranges by ~0.64° north, averting their expected exposure to warming by ~1.28 °C, which is roughly half the warming they would have experienced if they had remained stationary. Meanwhile, species have only mitigated ~0.47 °C (11% of expected warming) in winter, and nearly all have experienced warming of >2 °C. Species moving the farthest north and possessing traits associated with dispersal have succeeded most in limiting their niche loss. Species’ historical niches are becoming increasingly mismatched with contemporary climates, even in a highly mobile taxon, raising concerns about the ability of other wildlife to persist in a warmer world.
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Data availability
The data used in this manuscript is available via Map of Life at https://doi.org/10.48600/gwha-6a31. The GBIF data can be downloaded from www.gbif.org. The eBird data can be downloaded from www.ebird.org. The BBS data can be downloaded from https://www.usgs.gov/data/2023-release-north-american-breeding-bird-survey-dataset-1966-2022. The environmental data can be downloaded from CHELSA (https://chelsa-climate.org/) or MODIS (https://lpdaac.usgs.gov/products/mod11a1v006/). The AVONET trait data is available at https://onlinelibrary.wiley.com/doi/full/10.1111/ele.13898.
Code availability
Code for this manuscript is available via Github at https://github.com/jeremy-cohen/changing-seasonal-niches.
References
Grinnell, J. The niche-relationships of the California Thrasher. Auk 34, 427–433 (1917).
Hutchinson, G. E. The multivariate niche. Cold Spring Harb. Symp. Quant. Biol. 22, 415–421 (1957).
Vandermeer, J. H. Niche theory. Annu. Rev. Ecol. Syst. 3, 107–132 (1972).
Kling, M. M., Auer, S. L., Comer, P. J., Ackerly, D. D. & Hamilton, H. Multiple axes of ecological vulnerability to climate change. Glob. Change Biol. 26, 2798–2813 (2020).
LeDee, O. E., Handler, S. D., Hoving, C. L., Swanston, C. W. & Zuckerberg, B. Preparing wildlife for climate change: how far have we come? J. Wildl. Manag. 85, 7–16 (2021).
La Sorte, F. A., Fink, D. & Johnston, A. Time of emergence of novel climates for North American migratory bird populations. Ecography 42, 1079–1091 (2019).
La Sorte, F. A., Fink, D. & Johnston, A. Seasonal associations with novel climates for North American migratory bird populations. Ecol. Lett. 21, 845–856 (2018).
Hoffmann, A. A. & Sgrò, C. M. Climate change and evolutionary adaptation. Nature 470, 479–485 (2011).
Seebacher, F., White, C. R. & Franklin, C. E. Physiological plasticity increases resilience of ectothermic animals to climate change. Nat. Clim. Change 5, 61–66 (2015).
Rohr, J. R. et al. The complex drivers of thermal acclimation and breadth in ectotherms. Ecol. Lett. 21, 1425–1439 (2018).
Rushing, C. S., Royle, J. A., Ziolkowski, D. J. & Pardieck, K. L. Migratory behavior and winter geography drive differential range shifts of eastern birds in response to recent climate change. Proc. Natl Acad. Sci. USA 117, 12897–12903 (2020).
Urban, M. C. Accelerating extinction risk from climate change. Science 348, 571–573 (2015).
Pecl, G. et al. Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science 355, 6332 (2017).
Chen, I.-C., Hill, J. K., Ohlemuller, R., Roy, D. B. & Thomas, C. D. Rapid range shifts of species associated with high levels of climate warming. Science 333, 1024–1026 (2011).
Brommer, J. E. The range margins of northern birds shift polewards. Ann. Zool. Fenn. 41, 391–397 (2004).
Zuckerberg, B., Woods, A. M. & Porter, W. F. Poleward shifts in breeding bird distributions in New York State. Glob. Change Biol. 15, 1866–1883 (2009).
Thomas, C. D. & Lennon, J. J. Birds extend their ranges northwards. Nature 399, 213–213 (1999).
La Sorte, F. A. & Jetz, W. Tracking of climatic niche boundaries under recent climate change: niche tracking under recent climate change. J. Anim. Ecol. 81, 914–925 (2012).
Tingley, M. W., Monahan, W. B., Beissinger, S. R. & Moritz, C. Birds track their Grinnellian niche through a century of climate change. Proc. Natl Acad. Sci. USA 106, 19637–19643 (2009).
Serra-Diaz, J. M. et al. Bioclimatic velocity: the pace of species exposure to climate change. Divers. Distrib. 20, 169–180 (2014).
La Sorte, F. A. & Jetz, W. Avian distributions under climate change: towards improved projections. J. Exp. Biol. 213, 1395–1395 (2010).
Pacifici, M. et al. Assessing species vulnerability to climate change. Nat. Clim. Change 5, 215–224 (2015).
Elsen, P. R. et al. Accelerated shifts in terrestrial life zones under rapid climate change. Glob. Change Biol. 28, 918–935 (2022).
Román-Palacios, C. & Wiens, J. J. Recent responses to climate change reveal the drivers of species extinction and survival. Proc. Natl Acad. Sci. USA 117, 4211–4217 (2020).
Freeman, B. G. & Class Freeman, A. M. Rapid upslope shifts in New Guinean birds illustrate strong distributional responses of tropical montane species to global warming. Proc. Natl Acad. Sci. USA 111, 4490–4494 (2014).
La Sorte, F. A. & Thompson, F. R. Poleward shifts in winter ranges of North American birds. Ecology 88, 1803–1812 (2007).
Williams, J. J. & Newbold, T. Local climatic changes affect biodiversity responses to land use: a review. Divers. Distrib. 26, 76–92 (2020).
Zhao, Q. et al. Land‐use change increases climatic vulnerability of migratory birds: insights from integrated population modelling. J. Anim. Ecol. 88, 1625–1637 (2019).
Lu, M. & Jetz, W. Scale-sensitivity in the measurement and interpretation of environmental niches. Trends Ecol. Evol. 38, 554–567 (2023).
Kujala, H., Vepsäläinen, V., Zuckerberg, B. & Brommer, J. E. Range margin shifts of birds revisited – the role of spatiotemporally varying survey effort. Glob. Change Biol. 19, 420–430 (2013).
eBird: An Online Database of Bird Distribution and Abundance (Cornell Lab of Ornithology, 2025); https://ebird.org/home
Ziolkowski, D. J., Lutmerding, M., English, W. B., Aponte, V. I. & Hudson, M. A. R. North American Breeding Bird Survey dataset 1966–2022. US Geological Survey https://doi.org/10.5066/P9GS9K64 (2023).
Net international migration drives highest U.S. population growth in decades. US Census Bureau www.census.gov/newsroom/press-releases/2024/population-estimates-international-migration.html (2024).
Cohen, J. & Jetz, W. Diverse strategies for tracking seasonal environmental niches at hemispheric scale. Glob. Ecol. Biogeogr. 32, 1549–1560 (2023).
Zuckerberg, B., Fink, D., La Sorte, F. A., Hochachka, W. M. & Kelling, S. Novel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modelling. Divers. Distrib. 22, 717–730 (2016).
Zurell, D., Gallien, L., Graham, C. H. & Zimmermann, N. E. Do long-distance migratory birds track their niche through seasons? J. Biogeogr. 45, 1459–1468 (2018).
Lenoir, J. & Svenning, J.-C. Climate-related range shifts – a global multidimensional synthesis and new research directions. Ecography 38, 15–28 (2015).
Weiskopf, S. R. et al. Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States. Sci. Total Environ. 733, 137782 (2020).
Rangwala, I., Sinsky, E. & Miller, J. R. Amplified warming projections for high altitude regions of the Northern Hemisphere mid-latitudes from CMIP5 models. Environ. Res. Lett. 8, 024040 (2013).
Huey, R. B. & Kingsolver, J. G. Climate warming, resource availability, and the metabolic meltdown of ectotherms. Am. Nat. 194, E140–E150 (2019).
MacLean, S. A. & Beissinger, S. R. Species’ traits as predictors of range shifts under contemporary climate change: a review and meta-analysis. Glob. Change Biol. 23, 4094–4105 (2017).
Sharma, S. et al. North American tree migration paced by climate in the West, lagging in the East. Proc. Natl Acad. Sci. USA 119, e2116691118 (2022).
Jarzyna, M. A., Porter, W. F., Maurer, B. A., Zuckerberg, B. & Finley, A. O. Landscape fragmentation affects responses of avian communities to climate change. Glob. Change Biol. 21, 2942–2953 (2015).
Parks, S. A., Holsinger, L. M., Abatzoglou, J. T., Littlefield, C. E. & Zeller, K. A. Protected areas not likely to serve as steppingstones for species undergoing climate‐induced range shifts. Glob. Change Biol. 29, 2681–2696 (2023).
McCauley, L. A., Ribic, C. A., Pomara, L. Y. & Zuckerberg, B. The future demographic niche of a declining grassland bird fails to shift poleward in response to climate change. Landsc. Ecol. 32, 807–821 (2017).
Ludwig, G. X. et al. Short- and long-term population dynamical consequences of asymmetric climate change in black grouse. Proc. R. Soc. B: Biol. Sci. 273, 2009–2016 (2006).
Staude, I. R. et al. Specialist birds replace generalists in grassland remnants as land use change intensifies. Front. Ecol. Evol. 8, 597542 (2021).
Jarzyna, M. A., Zuckerberg, B., Finley, A. O. & Porter, W. F. Synergistic effects of climate and land cover: grassland birds are more vulnerable to climate change. Landsc. Ecol. 31, 2275–2290 (2016).
Dale, V. H. The relationship between land-use change and climate change. Ecol. Appl. 7, 753–769 (1997).
Cohen, J. M., Lajeunesse, M. J. & Rohr, J. R. A global synthesis of animal phenological responses to climate change. Nat. Clim. Change 8, 224–228 (2018).
Koleček, J., Adamík, P. & Reif, J. Shifts in migration phenology under climate change: temperature vs. abundance effects in birds. Clim. Change 159, 177–194 (2020).
Riddell, E. A. et al. Exposure to climate change drives stability or collapse of desert mammal and bird communities. Science 371, 633–636 (2021).
Sinervo, B. et al. Climate Change and Collapsing Thermal Niches of Mexican Endemic Reptiles White Paper for the Environmental Working Group of the UC–Mexico Initiative (Univ. of California, 2017).
Tourani, M. et al. Maximum temperatures determine the habitat affiliations of North American mammals. Proc. Natl Acad. Sci. USA 120, e2304411120 (2023).
Qu, Y.-F. & Wiens, J. J. Higher temperatures lower rates of physiological and niche evolution. Proc. Biol. Sci. 287, 20200823 (2020).
Antão, L. H. et al. Climate change reshuffles northern species within their niches. Nat. Clim. Change 12, 587–592 (2022).
Li, R. et al. A cloud-based toolbox for the versatile environmental annotation of biodiversity data. PLoS Biol. 19, e3001460 (2021).
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021).
ABA Checklist: Birds of the Continental United States and Canada 7th edn (ABA, 2008).
Clements, J. F. et al. The eBird/Clements checklist of birds of the world: v2019 (2019).
Gorelick, N. et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18–27 (2017).
Hulley, G. C., Malakar, N. K., Islam, T. & Freepartner, R. J. NASA’s MODIS and VIIRS land surface temperature and emissivity products: a long-term and consistent Earth system data record. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 11, 522–535 (2017).
Karger, D. N., Wilson, A. M., Mahony, C. & Zimmermann, N. E. Global daily 1km land surface precipitation based on cloud cover-informed downscaling. Sci. Data 8, 307 (2021).
Ooms, J. The jsonlite package: a practical and consistent mapping between JSON data and R objects. Preprint at https://arxiv.org/abs/1403.2805 (2014).
Wickham, H. & Wickham, M. H. httr: tools for working with URLs and HTTP. R package version 3.5 https://cran.r-project.org/web/packages/httr/index.html (2020).
McKechnie, A. E., Gerson, A. R. & Wolf, B. O. Thermoregulation in desert birds: scaling and phylogenetic variation in heat tolerance and evaporative cooling. J. Exp. Biol. 224, jeb229211 (2021).
Song, S. & Beissinger, S. R. Environmental determinants of total evaporative water loss in birds at multiple temperatures. Auk 137, ukz069 (2020).
Maclean, I. M. D. et al. Climate change causes rapid changes in the distribution and site abundance of birds in winter. Glob. Change Biol. 14, 2489–2500 (2008).
Leech, D. I. & Crick, H. Q. P. Influence of climate change on the abundance, distribution and phenology of woodland bird species in temperate regions. Ibis 149, 128–145 (2007).
Harris, R. M. et al. Biological responses to the press and pulse of climate trends and extreme events. Nat. Clim. Change 8, 579–587 (2018).
Kellermann, V. et al. Upper thermal limits of Drosophila are linked to species distributions and strongly constrained phylogenetically. Proc. Natl Acad. Sci. USA 109, 16228–16233 (2012).
Hällfors, M. H. et al. Recent range shifts of moths, butterflies, and birds are driven by the breadth of their climatic niche. Evol. Lett. 8, 89–100 (2024).
Bartholomew, G. A. & Cade, T. J. The water economy of land birds. Auk 80, 504–539 (1963).
Kolb, T. E. et al. Observed and anticipated impacts of drought on forest insects and diseases in the United States. For. Ecol. Manag. 380, 321–334 (2016).
Cady, S. M., O’Connell, T. J., Loss, S. R., Jaffe, N. E. & Davis, C. A. Species‐specific and temporal scale‐dependent responses of birds to drought. Glob. Change Biol. 25, 2691–2702 (2019).
Illán, J. G. et al. Precipitation and winter temperature predict long‐term range‐scale abundance changes in western North American birds. Glob. Change Biol. 20, 3351–3364 (2014).
Zuckerberg, B., Ribic, C. A. & McCauley, L. A. Effects of temperature and precipitation on grassland bird nesting success as mediated by patch size. Conserv. Biol. 32, 872–882 (2018).
Santillán, V. et al. Spatio-temporal variation in bird assemblages is associated with fluctuations in temperature and precipitation along a tropical elevational gradient. PLoS ONE 13, e0196179 (2018).
Lafage, D., Secondi, J., Georges, A., Bouzillé, J. & Pétillon, J. Satellite‐derived vegetation indices as surrogate of species richness and abundance of ground beetles in temperate floodplains. Insect Conserv. Divers. 7, 327–333 (2014).
Kontsiotis, V. J., Chatzigiovanakis, S., Valsamidis, E., Xofis, P. & Liordos, V. Normalized difference vegetation index as a proxy of urban bird species presence and distribution at different spatial scales. Diversity 15, 1139 (2023).
Selwood, K. E., McGeoch, M. A., Clarke, R. H. & Mac Nally, R. High‐productivity vegetation is important for lessening bird declines during prolonged drought. J. Appl. Ecol. 55, 641–650 (2018).
Nychka, D., Furrer, R., Paige, J., Sain, S. & Nychka, M. D. fields: tools for spatial data. R package version 3.5.0 https://cran.r-project.org/web/packages/fields/index.html (2015).
Danielson, J. J. & Gesch, D. B. Global multi-resolution terrain elevation data 2010 (GMTED2010). USGS www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-global-multi-resolution-terrain-elevation (2011).
Hijmans, R. J. et al. raster: geographic data analysis and modeling. R package version 3.5.0 https://cran.r-project.org/web/packages/raster/index.html (2015).
Wickham, H. et al. Welcome to the tidyverse. J. Open Source Softw. 4, 1686 (2019).
Lenth, R., Singmann, H., Love, J., Buerkner, P. & Herve, M. emmeans: estimated marginal means, aka least-squares means. R package version 4.1.0 https://cran.r-project.org/web/packages/emmeans/index.html (2019).
Lu, M., Winner, K. & Jetz, W. A unifying framework for quantifying and comparing n-dimensional hypervolumes. Methods Ecol. Evol. 12, 1953–1968 (2021).
Wickham, H. ggplot2. Wiley Interdiscip. Rev. Comput. Stat. 3, 180–185 (2011).
La Sorte, F. A. et al. The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds. Divers. Distrib. 28, 992–1009 (2022).
Tobias, J. A. et al. AVONET: morphological, ecological and geographical data for all birds. Ecol. Lett. 25, 581–597 (2022).
Cohen, J. M. & Jetz, W. Fine-grain predictions are key to accurately represent continental-scale biodiversity patterns. Global Ecol. Biogeogr. 34, e13934 (2025).
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K. & Mooers, A. O. The global diversity of birds in space and time. Nature 491, 444–448 (2012).
Clements, J. F. The Clements Checklist of Birds of the World 6th edn (Comstock/Cornell Laboratory of Ornithology, 2007).
Ho, L. S. T. et al. phylolm: phylogenic linear regression. R package version 3.0 https://cran.r-project.org/web/packages/phylolm/index.html (2016).
Symonds, M. R. & Blomberg, S. P. in Modern Phylogenetic Comparative Methods and their Application in Evolutionary Biology: Concepts and Practice (ed. Garamszegi, L.) 105–130 (Springer, 2014).
Greenwell, B. M. pdp: an R package for constructing partial dependence plots. R. J. 9, 421–436 (2017).
Blomberg, S. P., Garland, T. & Ives, A. R. Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution 57, 717–745 (2003).
Freckleton, R. P., Harvey, P. H. & Pagel, M. Phylogenetic analysis and comparative data: a test and review of evidence. Am. Nat. 160, 712–726 (2002).
Kembel, S. W. et al. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464 (2010).
Acknowledgements
We thank J. Wilshire, K. Chefira, A. Ranipeta, R. Li and the Map of Life team at the Yale Center for Biodiversity and Global Change for implementing the Spatiotemporal Observation Annotation Tool to annotate occurrence data. We thank D. Ellis-Soto, L. Fouda, A. Honda, F. Iannarilli, F. La Sorte, R. Li, J. Makinen, J. Portmann, E. Sauer, S. Sharma, J. Wilshire, K. Winner and S. Yanco for their constructive comments on the manuscript. We thank F. La Sorte for compiling the species-level migration distances. This work was enabled by NASA grants 80NSSC17K0282 and 80NSSC18K0435 to W.J. and was partially supported by the E. O. Wilson Biodiversity Foundation in furtherance of the Half-Earth Project.
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Both authors devised the ideas for the study and the methodology. J.M.C. compiled and annotated the GBIF data. J.M.C. devised the trend calculation workflow. J.M.C. accessed the functional trait databases and harmonized the phylogenetic information. J.M.C. conducted the statistical analyses and generated the figures. Both authors wrote the manuscript.
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Supplementary Figs. 1–10 and Tables 1–13.
Supplementary Data 1
Estimates of realized and mitigated niche loss and geographical redistributions between 2000–2020 for all species during summer and winter.
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Cohen, J.M., Jetz, W. Geographic redistributions are insufficient to mitigate exposure to climate change in North American birds. Nat Ecol Evol (2025). https://doi.org/10.1038/s41559-025-02714-7
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DOI: https://doi.org/10.1038/s41559-025-02714-7