The DOI matches its Crossref record; 29 of the 32 references it cites were found in a registry or an index.
eBird: A citizen-based bird observation network in the biological sciences
Abstract
New technologies are rapidly changing the way we collect, archive, analyze, and share scientific data. For example, over the next several years it is estimated that more than one billion autonomous sensors will be deployed over large spatial and temporal scales, and will gather vast quantities of data. Networks of human observers play a major role in gathering scientific data, and whether in astronomy, meteorology, or observations of nature, they continue to contribute significantly. In this paper we present an innovative use of the Internet and information technologies that better enhances the opportunity for citizens to contribute their observations to science and the conservation of bird populations. eBird is building a web-enabled community of bird watchers who collect, manage, and store their observations in a globally accessible unified database. Through its development as a tool that addresses the needs of the birding community, eBird sustains and grows participation. Birders, scientists, and conservationists are using eBird data worldwide to better understand avian biological patterns and the environmental and anthropogenic factors that influence them. Developing and shaping this network over time, eBird has created a near real-time avian data resource producing millions of observations per year.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Citizen science can also enable dataset collection at a scale impossible in individual studies [93,533,634,767].”
From Tackling climate change with machine learning (2023) · cites this paper as [767]
Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Lu, Z. Q. J. (2010) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,916
The Birds of North America online
(2005) · Choice Reviews Online · doi:10.5860/choice.43-1297 · Cited by 876
Partners in Flight North American Landbird Conservation Plan
Faaborg, J. R. (2005) · The Auk · doi:10.1642/0004-8038(2005)122[0373:pifnal]2.0.co;2 · Cited by 432
The Distribution of the Birds of California
Farner, D. S., Grinnell, J., & Miller, A. H. (1945) · Bird-Banding · doi:10.2307/4509878 · Cited by 291
Data‐Mining Discovery of Pattern and Process in Ecological Systems
Hochachka, W. M., Caruana, R., Fink, D., Munson, M. A., Riedewald, M., Sorokina, D., & Kelling, S. (2007) · Journal of Wildlife Management · doi:10.2193/2006-503 · Cited by 180
Self-citationDefining and Unraveling Biocomplexity
Michener, W. K., Baerwald, T. J., Firth, P. L., Palmer, M. A., Rosenberger, J. L., Sandlin, E. A., & ZIMMERMAN, H. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[1018:daub]2.0.co;2 · Cited by 174
Issues and Perspectives in Landscape Ecology
(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614415 · Cited by 173
Issues and Perspectives in Landscape Ecology
Wiens, J. A., & Moss, M. R. (2005) · Cited by 170
Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges
Stein, L. D. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2414 · Cited by 160
Flagged first, then by citations
3 of the 32 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Fisher, 1953, The collared turtle dove in Europe, British Birds, 5, 153
- Risely, 2008, The breeding bird survey 2007, British Trust for Ornithology
- Romagosa, 2000, Eurasian Collared-Dove in North America and the Caribbean, North American Birds, 53, 348
Cited by
Sorted by citations
Items 501–600 of 1,000
How has bird biodiversity changed over time? A review across spatio-temporal scales
Leroy, F., Reif, J., Štorch, D., & Keil, P. (2023) · Basic and Applied Ecology · doi:10.1016/j.baae.2023.03.004 · Cited by 22
Serious games and citizen science; from parallel pathways to greater synergies
Speelman, E. N., Escano, E., Marcos, D., & Bécu, N. (2023) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2023.101320 · Cited by 23
Ferrer-Paris, J. R., Sánchez‐Mercado, A., Rodríguez‐Clark, K. M., Rodrı́guez, J. P., & Rodríguez, G. A. (2013) · Biological Conservation · doi:10.1016/j.biocon.2013.07.032 · Cited by 22
Laughlin, A. J., Sheldon, D. R., Winkler, D. W., & Taylor, C. M. (2015) · Ecography · doi:10.1111/ecog.01988 · Cited by 22
Walker, C., Flynn, K. C., Ovando-Montejo, G. A., Ellis, E. A., & Frazier, A. E. (2017) · Urban Ecosystems · doi:10.1007/s11252-017-0671-4 · Cited by 24
Toward integrating citizen science and radar data for migrant bird conservation
Shipley, J. R., Kelly, J. F., & Frick, W. F. (2017) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.62 · Cited by 22
Representing species distributions in spatially-explicit ecosystem models from presence-only data
Grüss, A., Drexler, M. D., Chancellor, E., Ainsworth, C. H., Gleason, J. S., Tirpak, J. M., Love, M. S., & Babcock, E. A. (2018) · Fisheries Research · doi:10.1016/j.fishres.2018.10.011 · Cited by 22
Sutton, L. J. (2020) · Journal of Raptor Research · doi:10.3356/0892-1016-54.1.1 · Cited by 22
Birds that are more commonly encountered in the wild attract higher public interest online
Mittermeier, J. C., Roll, U., Matthews, T. J., Correia, R. A., & Grenyer, R. (2021) · Conservation Science and Practice · doi:10.1111/csp2.340 · Cited by 24
Keating, M., Rhodes, B. B., & Richards, A. K. (2013) · doi:10.1002/9781118751534.ch8 · Cited by 22
On the sampling design of spatially explicit integrated population models
Zhao, Q. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13457 · Cited by 21
Powers, B. F., Winiarski, J. M., Requena‐Mullor, J. M., & Heath, J. A. (2021) · Ibis · doi:10.1111/ibi.12953 · Cited by 22
Choe, H., Chi, J., & Thorne, J. H. (2021) · Remote Sensing · doi:10.3390/rs13132490 · Cited by 22
Citizen Science Mosquito Surveillance by Ad Hoc Observation Using the iNaturalist Platform
Sousa, L. B., Fricker, S. R., Webb, C. E., Baldock, K. L., & Williams, C. R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19106337 · Cited by 23
Hartmann, M. C., Schott, M., Dsouza, A., Metz, Y., Volpi, M., & Purves, R. S. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101782 · Cited by 21
Beissinger, S. R., MacLean, S. A., Iknayan, K. J., & de Valpine, P. (2023) · Science Advances · doi:10.1126/sciadv.abn0250 · Cited by 21
Suzuki‐Ohno, Y., Tanabe, A. S., Kasai, A., Masuda, R., SEINO, S., Dazai, A., Suzuki, S., Abe, T., & Kondoh, M. (2023) · Environmental DNA · doi:10.1002/edn3.425 · Cited by 21
Combining crowd consensus and user trustworthiness for managing collective tasks
Castano, S., Ferrara, A., Genta, L., & Montanelli, S. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.04.014 · Cited by 22
Automated data verification in a large-scale citizen science project: A case study
Yu, J., Kelling, S., Gerbracht, J., & Wong, W. (2012) · IEEE International Conference on eScience · doi:10.1109/escience.2012.6404472 · Cited by 21
Self-citationNixon, A. E., Fisher, R. J., Stralberg, D., Bayne, E. M., & Farr, D. (2016) · Avian Conservation and Ecology · doi:10.5751/ace-00866-110202 · Cited by 21
Corticosterone regulation in house sparrows invading Senegal
Martin, L. B., Kilvitis, H. J., Thiam, M., & Ardia, D. R. (2017) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2017.05.018 · Cited by 21
Using metapopulation theory for practical conservation of mangrove endemic birds
Huang, R. M., Pimm, S. L., & Giri, C. P. (2019) · Conservation Biology · doi:10.1111/cobi.13364 · Cited by 21
Scientific Discovery Games for Biomedical Research
Das, R., Keep, B., Washington, P. Y., & Riedel-Kruse, I. H. (2019) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-072018-021139 · Cited by 23
Birding Benefits: A Review of Mental Health, Cognitive, Social, and Conservation Impacts
Andrews, J. G., Ammirati, R. J., & Andrews, C. J. M. (2024) · Ecopsychology · doi:10.1089/eco.2024.0019 · Cited by 24
A review of applications of the six-step method of systematic conservation planning
Wiersma, Y. F., & SLEEP, D. J. H. (2016) · The Forestry Chronicle · doi:10.5558/tfc2016-059 · Cited by 20
Habitat suitability and the constraints of migration in New World warblers
Toews, D. P. L. (2017) · Journal of Avian Biology · doi:10.1111/jav.01157 · Cited by 20
Using ignorance scores to explore biodiversity recording effort for multiple taxa in the Caatinga
Correia, R. A., Ruete, A., Stropp, J., Malhado, A. C. M., dos Santos, J. W., Lessa, T., Alves, J. A., & Ladle, R. J. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2019.105539 · Cited by 20
Bodt, L., Rollins, L. A., & Zichello, J. M. (2020) · Ecology and Evolution · doi:10.1002/ece3.6679 · Cited by 20
A review of the methods for studying biotic interactions in phenological analyses
Cerro, R. D. L. T., & Holloway, P. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13519 · Cited by 20
Smith, J. A., Regan, K. J., Cooper, N. W., Johnson, L., Olson, E. K., Green, A., Tash, J., Evers, D. C., & Marra, P. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-77784-7 · Cited by 20
Reliability of Data Collected by Volunteers: A Nine-Year Citizen Science Study in the Red Sea
Meschini, M., Toffolo, M. M., Marchini, C., Caroselli, E., Prada, F., Mancuso, A., Franzellitti, S., Locci, L., Davoli, M., Trittoni, M., et al. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.694258 · Cited by 20
Townsend, P. A., Clare, J. D. J., Liu, N., Stenglein, J. L., Anhalt‐Depies, C., Deelen, T. R. V., Gilbert, N. A., SINGH, A. K., Martin, K. J., & Zuckerberg, B. (2021) · Ecological Applications · doi:10.1002/eap.2436 · Cited by 20
Wintering habitat modelling for conservation of Eurasian vultures in northern India
Jha, R., Kanaujia, A., & Jha, K. K. (2022) · Nova Geodesia · doi:10.55779/ng2122 · Cited by 15
Sreekumar, E. R., & Nameer, P. O. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101702 · Cited by 20
Troy, J. R., & Jones, C. D. (2022) · Ibis · doi:10.1111/ibi.13144 · Cited by 21
Sutton, L. J., Ibañez, J. C., Salvador, D. I., Taraya, R. L., Opiso, G. S., Senarillos, T. L. P., & McClure, C. J. W. (2023) · Animal Conservation · doi:10.1111/acv.12854 · Cited by 20
Rueda‐Uribe, C., Herrera‐Alsina, L., Lancaster, L. T., Capellini, I., Layton, K. K. S., & Travis, J. M. J. (2023) · Ecography · doi:10.1111/ecog.06735 · Cited by 20
Soundscape Analytics: A New Frontier of Knowledge Discovery in Soundscape Data
Pijanowski, B. C., Rivas, F., Banerjee, S., Minghim, R., Lima, S. L., Bowers-Sword, R., Guzman, S. R., Revuelta-Acosta, J. D., Adeniji, A. E., Grimes, S. E., et al. (2024) · Current Landscape Ecology Reports · doi:10.1007/s40823-024-00101-9 · Cited by 20
Mononen, L., Auvinen, A.-P., Packalén, P., Virkkala, R., Valbuena, R., Bohlin, I., Valkama, J., & Vihervaara, P. (2018) · Forest Ecology and Management · doi:10.1016/j.foreco.2018.08.040 · Cited by 20
Impact of exotic macroalga on shorebirds varies with foraging specialization and spatial scale
Besterman, A. F., Karpanty, S. M., & Pace, M. L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231337 · Cited by 33
Vye, S. R., Dickens, S., Adams, L. C., Bohn, K., Chenery, J., Dobson, N. C., Dunn, R. E., Earp, H. S., Evans, M., Foster, C., et al. (2020) · Diversity and Distributions · doi:10.1111/ddi.13118 · Cited by 20
Bulluck, L. P., Ames, E. M., Bayly, N. J., Reese, J., Viverette, C., Wright, J. R., Castro, A. C., & Tonra, C. M. (2019) · Ecology and Evolution · doi:10.1002/ece3.5610 · Cited by 20
Avian nesting and roosting on glaciers at high elevation, Cordillera Vilcanota, Peru
Hardy, S. P., Hardy, D. R., & Gil, K. C. (2018) · The Wilson Journal of Ornithology · doi:10.1676/1559-4491.130.4.940 · Cited by 20
Ensemble Trees and CLTs: Statistical Inference for Supervised LearningPreprint
Mentch, L., & Hooker, G. (2014) · arXiv (Cornell University) · Cited by 20
Long, A. M., Pierce, B. L., Anderson, A. D., Skow, K. L., Smith, A. P., & Lopez, R. R. (2019) · Biological Conservation · doi:10.1016/j.biocon.2019.07.025 · Cited by 19
Correcting Misclassification Errors in Crowdsourced Ecological Data: A Bayesian Perspective
Santos–Fernández, E., Peterson, E. E., Vercelloni, J., Rushworth, E., & Mengersen, K. L. (2020) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/rssc.12453 · Cited by 19
Wilson, J. K., Casajus, N., Hutchinson, R., McFarland, K. P., Kerr, J. T., Berteaux, D., Larrivée, M., & Prudic, K. L. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.579230 · Cited by 21
Targeting conifer removal to create an even playing field for birds in the Great Basin
Zeller, K. A., Cushman, S. A., Lanen, N. J. V., Boone, J. D., & Ammon, E. M. (2021) · Biological Conservation · doi:10.1016/j.biocon.2021.109130 · Cited by 19
ForestEyes Project: Conception, enhancements, and challenges
Dallaqua, F. B. J. R., Fazenda, Á. L., & Faria, F. A. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.06.002 · Cited by 19
Kittelberger, K. D., Hendrix, S. V., & Sekercioglu, C. H. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.710396 · Cited by 19
Kerala Bird Atlas 2015–20: features, outcomes and implications of a citizen-science project
Praveen, J., Nameer, P. O., Jha, A., Aravind, A., Dilip, K. G., Karuthedathu, D., Tom, G., Mavelikara, H., Mannar, H., Palot, M. J., et al. (2022) · Current Science · doi:10.18520/cs/v122/i3/298-309 · Cited by 19
Ruling the roost: Avian species reclaim urban habitat during India's COVID-19 lockdown
Madhok, R., & Gulati, S. (2022) · Biological Conservation · doi:10.1016/j.biocon.2022.109597 · Cited by 19
A validation standard for area of habitat maps for terrestrial birds and mammals
Dahal, P. R., Lumbierres, M., Butchart, S. H. M., Donald, P. F., & Rondinini, C. (2022) · Geoscientific model development · doi:10.5194/gmd-15-5093-2022 · Cited by 19
Botanical Gardens Are Local Hotspots for Urban Butterflies in Arid Environments
Prudic, K. L., Cruz, T. M. P., Winzer, J. I. B., Oliver, J. C., Melkonoff, N. A., Verbais, H., & Hogan, A. (2022) · Insects · doi:10.3390/insects13100865 · Cited by 19
Jäckel, D., Mortega, K. G., Darwin, S., Brockmeyer, U., Sturm, U., Lasseck, M., Moczek, N., Lehmann, G. U. C., & Voigt‐Heucke, S. L. (2022) · Journal für Ornithologie · doi:10.1007/s10336-022-02018-8 · Cited by 19
Tubelis, D. P. (2023) · Birds · doi:10.3390/birds4010003 · Cited by 19
Chen, Y., Zhao, P., Xu, Q., Qu, B., Li, D., Clément, S., & Li, L. (2023) · One Health · doi:10.1016/j.onehlt.2023.100548 · Cited by 19
Estimating unbiased phenological trends by adapting site‐occupancy models
Roth, T., Strebel, N., & Amrhein, V. (2014) · Ecology · doi:10.1890/13-1830.1 · Cited by 19
Saracco, J. F., & Rubenstein, M. A. (2020) · Ecology and Evolution · doi:10.1002/ece3.5975 · Cited by 19
Adopting the Internet of Things technologies in environmental management in South Africa
Dlodlo, N. (2012) · Cited by 19
The Community-Conservation Conundrum: Is Citizen Science the Answer?
Galbraith, M., Bollard-Breen, B., & Towns, D. R. (2016) · Land · doi:10.3390/land5040037 · Cited by 20
Smetzer, J., & King, D. I. (2018) · The Auk · doi:10.1642/auk-18-4.1 · Cited by 19
Singer, D., Kamp, J., Hondong, H., Schuldt, A., & Hagge, J. (2026) · Journal of Ornithology · doi:10.1007/s10336-025-02307-y · Cited by 20
House Sparrows as Sentinels of Childhood Lead Exposure
Gillings, M. M., Ton, R., Harris, T., Swaddle, J. P., Taylor, M. P., & Griffith, S. C. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c00946 · Cited by 19
The influence of seasonal migration on range size in temperate North American passerines
Pegan, T. M., & Winger, B. M. (2020) · Ecography · doi:10.1111/ecog.05070 · Cited by 18
Zhu, B., Wang, B., Zou, B., Xu, Y., Yang, B., Yang, N., & Ran, J. (2020) · Global Ecology and Conservation · doi:10.1016/j.gecco.2020.e01230 · Cited by 18
Predicting bird‐window collisions with weather radar
Elmore, J. A., Riding, C. S., Horton, K. G., O’Connell, T. J., Farnsworth, A., & Loss, S. R. (2021) · Journal of Applied Ecology · doi:10.1111/1365-2664.13832 · Cited by 18
Understanding the reliability of citizen science observational data using item response models
Santos–Fernández, E., & Mengersen, K. L. (2021) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13623 · Cited by 19
Divergence of values and goals in participatory research
Dunlap, L., Corris, A., Jacquart, M., Biener, Z., & Potochnik, A. (2021) · Studies in History and Philosophy of Science Part A · doi:10.1016/j.shpsa.2021.06.015 · Cited by 18
Chevalier, M., Broennimann, O., & Guisan, A. (2021) · Global Ecology and Biogeography · doi:10.1111/geb.13376 · Cited by 18
Estimating disease vector population size from citizen science data
Tran, T., Porter, W. T., Salkeld, D. J., Prusinski, M. A., Jensen, S. T., & Brisson, D. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0610 · Cited by 18
Web Blog Content Curation Using Fuzzy-Related Capsule Network-Based Auto Encoder
Khatter, H., & Ahlawat, A. (2022) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s021800142250001x · Cited by 18
Comparing avian species richness estimates from structured and semi-structured citizen science data
Shen, F.-Y., Ding, T., & Tsai, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-28064-7 · Cited by 20
Smaller Australian raptors have greater urban tolerance
Headland, T., Colombelli‐Négrel, D., Callaghan, C. T., Sumasgutner, S. C., Kleindorfer, S., & Sumasgutner, P. (2023) · Scientific Reports · doi:10.1038/s41598-023-38493-z · Cited by 20
Acoustic indices as proxies for bird species richness in an urban green space in Metro Manila
Diaz, S., Gan, J. L., & Tapang, G. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289001 · Cited by 18
Kittelberger, K. D., Tanner, C. J., Orton, N. D., & Sekercioglu, C. H. (2023) · Avian Research · doi:10.1016/j.avrs.2023.100140 · Cited by 18
Protecting China’s major urban bird diversity hotspots
Li, L., Yan, M., Hong, Y., Feng, W., Xie, D., & Pagani‐Núñez, E. (2023) · AMBIO · doi:10.1007/s13280-023-01943-z · Cited by 18
Justice-oriented Design Listening: Participatory Ecoacoustics with a Ghanaian Forest Community
Longdon, J., Westerlaken, M., Blackwell, A. F., Gabrys, J., Ossom, B., Ashton‐Butt, A., & Acheampong, E. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3643044 · Cited by 18
Citizen Engineering: Methods for "Crowdsourcing" Highly Trustworthy Results
Zhai, Z., Hachen, D. S., Kijewski-Correa, T. L., Shen, F., & Madey, G. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.151 · Cited by 18
Response of brown anoles Anolis sagrei to multimodal signals from a native and novel predator
Elmasri, O. L., Moreno, M. S., Neumann, C. A., & Blumstein, D. T. (2012) · Current Zoology · doi:10.1093/czoolo/58.6.791 · Cited by 18
Data quality in crowdsourcing for biodiversity research: issues and examples
Jacobs, C. (2016) · Ubiquity Press eBooks · doi:10.5334/bax.f · Cited by 18
The biogeochemical implications of massive gull flocks at landfills
Winton, R. S., & River, M. (2017) · Water Research · doi:10.1016/j.watres.2017.05.076 · Cited by 18
Quality-Aware Incentive Mechanism for Mobile Crowd Sensing
Jiang, L., He, F., Wang, Y., Sun, L., & Huang, H. (2017) · Journal of Sensors · doi:10.1155/2017/5757125 · Cited by 18
Renjifo, L. M., Repizo, A., Ruiz-Ovalle, J. M., Ocampo, S., & Avendaño, J. E. (2017) · Bulletin of the British Ornithologists Club · doi:10.25226/bboc.v137i1.2017.a7 · Cited by 18
Socolar, J. B., Alván, J. D., Castillo, P. S. D., Pomara, L. Y., O'Shea, B. J., Poclín, S. C., Stotz, D. F., Schmitt, F., Graham, D., Carnes, B. H., et al. (2018) · The Wilson Journal of Ornithology · doi:10.1676/16-082.1 · Cited by 18
A virtual reality application for augmented panoramic mountain images
Salandra, A. L., Frajberg, D., & Fraternali, P. (2019) · Virtual Reality · doi:10.1007/s10055-019-00385-x · Cited by 18
Fournier, A. M. V., Drake, K. L., & Tozer, D. C. (2017) · Journal of Avian Biology · doi:10.1111/jav.01273 · Cited by 18
Forest-type specialization strongly predicts avian responses to tropical agriculture
Socolar, J. B., & Wilcove, D. S. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.1724 · Cited by 18
Drivers of declines in common loon (Gavia immer) productivity in Ontario, Canada
Bianchini, K., Tozer, D. C., Alvo, R., Bhavsar, S. P., & Mallory, M. L. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139724 · Cited by 18
Mismatch between bird species sensitivity and the protection of intact habitats across the Americas
Cazalis, V., Barnes, M. D., Johnston, A., Watson, J. E. M., Şekercioğlu, Ç. H., & Rodrigues, A. S. L. (2021) · Ecology Letters · doi:10.1111/ele.13859 · Cited by 19
Cohen, T. M., Hauber, M. E., Akriotis, T., Crochet, P., Karris, G., Kirschel, A. N. G., Khoury, F., Menchetti, M., Mori, E., Per, E., et al. (2022) · Journal of Applied Ecology · doi:10.1111/1365-2664.14150 · Cited by 18
Provost, K. L., Mauck, W. M., & Smith, B. T. (2018) · Ecology and Evolution · doi:10.1002/ece3.4596 · Cited by 18
Zhang, G., Zhu, A., Huang, Z., Ren, G., Qin, C., & Xiao, W. (2017) · Transactions in GIS · doi:10.1111/tgis.12300 · Cited by 17
Chatterjee, D., & Rao, S. (2020) · ACM Computing Surveys · doi:10.1145/3409797 · Cited by 17
Chiang, C.-E., Chen, Y., Lin, F.-Y., Feng, F., Wu, H.-A., Lee, H.-P., Yang, C.-H., & Chang, Y.-J. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445477 · Cited by 17
Global invasion history and native decline of the common starling: insights through genetics
Stuart, K. C., Hofmeister, N. R., Zichello, J. M., & Rollins, L. A. (2023) · Biological Invasions · doi:10.1007/s10530-022-02982-5 · Cited by 17
Adamík, P., Wong, J. B., Hahn, S., & Krištín, A. (2023) · Journal für Ornithologie · doi:10.1007/s10336-023-02102-7 · Cited by 17
Forrest, M. J., Favoretto, F., Nisa, Z. A., & Aburto‐Oropeza, O. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1212790 · Cited by 23
Wang, Z., Zhang, M., Zhao, X., Xie, J., Peng, Y., Sheldon, F. H., & Zou, F. (2024) · Journal of Avian Biology · doi:10.1111/jav.03131 · Cited by 18
Lu, M., Zhang, Z., Chen, P., Xu, C., Gao, B., & Ruan, L. (2024) · Avian Research · doi:10.1016/j.avrs.2024.100178 · Cited by 17
Metadata
- Authors
- Sullivan, B. L., Wood, C. L., Iliff, M. J., Bonney, R. E., Fink, D., & Kelling, S.
- Affiliations
- Cornell Lab of Ornithology (US)
- Corresponding author
- Sullivan, Brian L.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 142
- Issue
- 10
- Pages
- 2282-2292
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W2085154695
- Cited by
- 2,017
- References
- 32
- Citations by year
- 2026: 168 · 2025: 208 · 2024: 185 · 2023: 199 · 2022: 175 · 2021: 198 · 2020: 164 · 2019: 152 · 2018: 128 · 2017: 123 · 2016: 77 · 2015: 73 · 2014: 46 · 2013: 39 · 2012: 38
- FWCI
- 23.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Conservation (publishedVersion)
- Funders
- Cornell Lab of Ornithology
- Topics
- Physical Sciences › Environmental Science › Ecology › Avian ecology and behavior
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- eBird, citizen science, bird observations, birdwatchers, online data collection, biodiversity data sharing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review