More Cornell Lab News<\/h2>![\"\"](\"https:\/\/www.birds.cornell.edu\/home\/wp-content\/uploads\/2025\/02\/YellowBelliedSapsucker_StevenHunter.jpeg\")
<\/figure><\/div>News Room<\/span><\/a><\/div><\/div><\/li><\/ul><\/div>\n\n\nResearchers from the Cornell Lab of Ornithology analyzed 36 million bird observations shared by birdwatchers to the Cornell Lab\u2019s eBird program alongside multiple environmental variables derived from high-resolution satellite imagery for 495 bird species across North America from 2007 to 2021. <\/p>\n\n\n\n
The team set out to develop reliable information about where birds are increasing or decreasing across North America, but the patterns they uncovered were startling. <\/p>\n\n\n\n
Birds are declining most severely where they are most abundant\u2014the very places where they should be thriving. Eighty-three percent of the species they examined are losing a larger percentage of their population where they are most abundant.<\/p>\n\n\n\n
\u201cWe’re not just seeing small shifts happening, we’re documenting populations declining where they were once really abundant. Locations that once provided ideal habitat and climate for these species are no longer suitable. I think this is indicative of more major shifts happening for the nature that’s around us,\u201d said Alison Johnston, lead author and ecological statistician. Johnston initiated this study as a research associate at the Cornell Lab of Ornithology, and now she is a faculty member in the School of Mathematics and Statistics at the University of St. Andrews, UK. <\/p>\n\n\n\n
This news follows on the heels of other recent research that documented widespread losses of birds in North America. The 2025 U. S. State of the Birds report showed bird declines in almost every biome in the nation, and a 2019 paper published in Science reported a cumulative population loss of nearly 3 billion birds in Canada and the U.S. since 1970. \u201cThe 2019 paper was telling us that we have an emergency, and now with this work we have the information needed to create an emergency response plan,\u201d said Johnston. <\/p>\n\n\n\n
This research published in Science<\/em> features recent bird population trends at 27 km by 27 km scales, the smallest parcels of land ever attempted for an analysis across such a large geographic area. <\/p>\n\n\n\n![\"\"](\"https:\/\/www.birds.cornell.edu\/home\/wp-content\/uploads\/2025\/04\/Figure1-720x634.png\")
High trend resolution reveals complexity of population changes 2007-2021. Columns<\/em>
represent range-wide, regional (Bird Conservation Region), and landscape scales (27 km \u00c5~ 27<\/em>
km grid cells). Trends are shown for (rows): Great blue heron (Ardea herodias), Wood duck (Aix<\/em>
sponsa), and House wren (Troglodytes aedon). Each map shows the annual percent-per-year rate<\/em>
15 of change in abundance 2007\u20132021 as: averaged across the whole species range, within Bird<\/em>
Conservation Regions (BCRs), or within landscapes. All trends in a row were estimated with the<\/em>
same data and models, with outputs aggregated to the different spatial scales.<\/em>
(https:\/\/science.ebird.org\/en\/status-and-trends\/trends-maps)<\/em>. Reprinted with permission from A. Johnston et al., Science<\/em> 10.1126\/science.adn4381 (2025)<\/figcaption><\/figure>\n\n\n\n<\/p>\n\n\n\n
\u201cThis is the first time we\u2019ve had fine scale information on population changes across such broad spatial extents and across entire ranges of species. And that provides us a better lens to understand the changes that are happening with bird populations,\u201d said Amanda Rodewald, faculty director of the Center for Avian Population Studies at the Cornell Lab of Ornithology. <\/p>\n\n\n\n
Previously national and continental monitoring programs could estimate population trends only across entire ranges, regions, or states\/provinces, but with advances in machine learning and the accumulation of vast amounts of data from participatory scientists, researchers can look at how well species are doing in areas about the size of New York City. Some species appear to be doing well across their range or within a region, but are faring very poorly in specific locations within those regions. <\/p>\n\n\n\n
\nKey findings from the study include:<\/p>\n\n\n\n
\n- 83% of the birds are faring worse where they are most abundant<\/li>\n\n\n\n
- Grassland and Arctic tundra birds show particularly troubling trends<\/li>\n\n\n\n
- Population decreases are not uniform across a species range; nearly all species (97%) had some areas where the populations are increasing, a positive sign that can help direct conservation action<\/li>\n<\/ul>\n<\/div>\n\n\n\n
\u201cThe thing that is super interesting is that for almost all species we found areas of population increases and decreases,\u201d said Johnston. \u201cThis spatial variation in population trends has been previously invisible when looking at broader regional summaries.\u201d<\/p>\n\n\n\n
Areas where populations are increasing are the bright spots, said Johnston: \u201cAreas where species are increasing where they’re at low abundance may be places where conservation has been successful and populations are recovering, or they may point to locations where there may be potential for recovery.\u201d <\/p>\n\n\n\n
Knowing exactly where on the landscape declines are happening helps scientists start to identify the drivers of those declines and how to respond to them. <\/p>\n\n\n\n
\u201cIt\u2019s this kind of small-scale information across broad geographies that has been lacking and it\u2019s exactly what we need to make smart conservation decisions. These data products give us a new lens to detect and diagnose population declines and to respond to them in a way that’s strategic, precise, and flexible. That’s a game changer for conservation,\u201d said Rodewald. <\/p>\n\n\n\n
The study’s detailed mapping of population changes will help conservation organizations and policymakers better target their efforts to protect declining bird species, which according to the authors is sorely needed to help reverse the declining population trends. <\/p>\n\n\n\n
The research also reveals the power of participatory science data. \u201cKnowledge is power. Because of the volunteers that engage in programs like eBird, because of their enthusiasm and engagement, and generosity of time, we now know more about bird populations and more about the environment than we ever have before,\u201d said Rodewald. <\/p>\n\n\n\n
\u201cWithout the massive amount of data available from eBird, we would not have been able to complete this study,\u201d said Daniel Fink, a senior research associate and statistician at the Cornell Lab of Ornithology. But, Fink shared, with all of that information comes many analytical challenges. \u201cWe employed causal machine learning models and novel statistical methodologies that allowed us to estimate changes in populations with high spatial resolution while also accounting for biases that come from changes in how and where people go birding,\u201d Fink said. To ensure the reliability of the data the team ran over half a million simulations, stacking up more than 6 million hours of computing, which would take about 85 years to run on a standard laptop computer. <\/p>\n\n\n\n
This research was made possible by funding from a number of different sources over several years: The Leon Levy Foundation, The Wolf Creek Foundation, and National Science ABI sustaining: DBI-1939187. Computing support was provided by grants from the National Science Foundation through CNS-1059284 and CCF-1522054. This work used Bridges2 at Pittsburgh Supercomputing Center and Anvil (Song et al. 2022) at the Rosen Center for Advanced Computing at Purdue University through allocation DEB200010 (DF, TA, SL, OR) from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by NSF grants #2138259, #2138286, #2138307, #2137603, and #2138296.<\/em><\/p>\n\n\n\n####<\/p>\n\n\n\n
Reference: <\/strong>Johnston, A., A. D. Rodewald, M. Strimas-Mackey, T. Auer, W. M. Hochachka, A. N. Stillman, C. L. Davis, V. Ruiz-Gutierrez, A. M. Dokter, E. T. Miller, O. Robinson, S. Ligocki, L. Oldham Jaromczyk, C. Crowley, C. L. Wood, and D. Fink. (2025). North American bird declines are greatest where species are most abundant. Science. DOI: 10.1126\/science.adn4381<\/p>\n\n\n\n
<\/figure><\/div>Researchers from the Cornell Lab of Ornithology analyzed 36 million bird observations shared by birdwatchers to the Cornell Lab\u2019s eBird program alongside multiple environmental variables derived from high-resolution satellite imagery for 495 bird species across North America from 2007 to 2021. <\/p>\n\n\n\n
The team set out to develop reliable information about where birds are increasing or decreasing across North America, but the patterns they uncovered were startling. <\/p>\n\n\n\n
Birds are declining most severely where they are most abundant\u2014the very places where they should be thriving. Eighty-three percent of the species they examined are losing a larger percentage of their population where they are most abundant.<\/p>\n\n\n\n
\u201cWe’re not just seeing small shifts happening, we’re documenting populations declining where they were once really abundant. Locations that once provided ideal habitat and climate for these species are no longer suitable. I think this is indicative of more major shifts happening for the nature that’s around us,\u201d said Alison Johnston, lead author and ecological statistician. Johnston initiated this study as a research associate at the Cornell Lab of Ornithology, and now she is a faculty member in the School of Mathematics and Statistics at the University of St. Andrews, UK. <\/p>\n\n\n\n
This news follows on the heels of other recent research that documented widespread losses of birds in North America. The 2025 U. S. State of the Birds report showed bird declines in almost every biome in the nation, and a 2019 paper published in Science reported a cumulative population loss of nearly 3 billion birds in Canada and the U.S. since 1970. \u201cThe 2019 paper was telling us that we have an emergency, and now with this work we have the information needed to create an emergency response plan,\u201d said Johnston. <\/p>\n\n\n\n
This research published in Science<\/em> features recent bird population trends at 27 km by 27 km scales, the smallest parcels of land ever attempted for an analysis across such a large geographic area. <\/p>\n\n\n\n <\/p>\n\n\n\n \u201cThis is the first time we\u2019ve had fine scale information on population changes across such broad spatial extents and across entire ranges of species. And that provides us a better lens to understand the changes that are happening with bird populations,\u201d said Amanda Rodewald, faculty director of the Center for Avian Population Studies at the Cornell Lab of Ornithology. <\/p>\n\n\n\n Previously national and continental monitoring programs could estimate population trends only across entire ranges, regions, or states\/provinces, but with advances in machine learning and the accumulation of vast amounts of data from participatory scientists, researchers can look at how well species are doing in areas about the size of New York City. Some species appear to be doing well across their range or within a region, but are faring very poorly in specific locations within those regions. <\/p>\n\n\n\n Key findings from the study include:<\/p>\n\n\n\n \u201cThe thing that is super interesting is that for almost all species we found areas of population increases and decreases,\u201d said Johnston. \u201cThis spatial variation in population trends has been previously invisible when looking at broader regional summaries.\u201d<\/p>\n\n\n\n Areas where populations are increasing are the bright spots, said Johnston: \u201cAreas where species are increasing where they’re at low abundance may be places where conservation has been successful and populations are recovering, or they may point to locations where there may be potential for recovery.\u201d <\/p>\n\n\n\n Knowing exactly where on the landscape declines are happening helps scientists start to identify the drivers of those declines and how to respond to them. <\/p>\n\n\n\n \u201cIt\u2019s this kind of small-scale information across broad geographies that has been lacking and it\u2019s exactly what we need to make smart conservation decisions. These data products give us a new lens to detect and diagnose population declines and to respond to them in a way that’s strategic, precise, and flexible. That’s a game changer for conservation,\u201d said Rodewald. <\/p>\n\n\n\n The study’s detailed mapping of population changes will help conservation organizations and policymakers better target their efforts to protect declining bird species, which according to the authors is sorely needed to help reverse the declining population trends. <\/p>\n\n\n\n The research also reveals the power of participatory science data. \u201cKnowledge is power. Because of the volunteers that engage in programs like eBird, because of their enthusiasm and engagement, and generosity of time, we now know more about bird populations and more about the environment than we ever have before,\u201d said Rodewald. <\/p>\n\n\n\n \u201cWithout the massive amount of data available from eBird, we would not have been able to complete this study,\u201d said Daniel Fink, a senior research associate and statistician at the Cornell Lab of Ornithology. But, Fink shared, with all of that information comes many analytical challenges. \u201cWe employed causal machine learning models and novel statistical methodologies that allowed us to estimate changes in populations with high spatial resolution while also accounting for biases that come from changes in how and where people go birding,\u201d Fink said. To ensure the reliability of the data the team ran over half a million simulations, stacking up more than 6 million hours of computing, which would take about 85 years to run on a standard laptop computer. <\/p>\n\n\n\n This research was made possible by funding from a number of different sources over several years: The Leon Levy Foundation, The Wolf Creek Foundation, and National Science ABI sustaining: DBI-1939187. Computing support was provided by grants from the National Science Foundation through CNS-1059284 and CCF-1522054. This work used Bridges2 at Pittsburgh Supercomputing Center and Anvil (Song et al. 2022) at the Rosen Center for Advanced Computing at Purdue University through allocation DEB200010 (DF, TA, SL, OR) from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by NSF grants #2138259, #2138286, #2138307, #2137603, and #2138296.<\/em><\/p>\n\n\n\n ####<\/p>\n\n\n\n Reference: <\/strong>Johnston, A., A. D. Rodewald, M. Strimas-Mackey, T. Auer, W. M. Hochachka, A. N. Stillman, C. L. Davis, V. Ruiz-Gutierrez, A. M. Dokter, E. T. Miller, O. Robinson, S. Ligocki, L. Oldham Jaromczyk, C. Crowley, C. L. Wood, and D. Fink. (2025). North American bird declines are greatest where species are most abundant. Science. DOI: 10.1126\/science.adn4381<\/p>\n\n\n\n
High trend resolution reveals complexity of population changes 2007-2021. Columns<\/em>
represent range-wide, regional (Bird Conservation Region), and landscape scales (27 km \u00c5~ 27<\/em>
km grid cells). Trends are shown for (rows): Great blue heron (Ardea herodias), Wood duck (Aix<\/em>
sponsa), and House wren (Troglodytes aedon). Each map shows the annual percent-per-year rate<\/em>
15 of change in abundance 2007\u20132021 as: averaged across the whole species range, within Bird<\/em>
Conservation Regions (BCRs), or within landscapes. All trends in a row were estimated with the<\/em>
same data and models, with outputs aggregated to the different spatial scales.<\/em>
(https:\/\/science.ebird.org\/en\/status-and-trends\/trends-maps)<\/em>. Reprinted with permission from A. Johnston et al., Science<\/em> 10.1126\/science.adn4381 (2025)<\/figcaption><\/figure>\n\n\n\n\n