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Distribution and Sampling Biases of Citizen Science Observations Uploaded to iNaturalist from Hungary Cover

Distribution and Sampling Biases of Citizen Science Observations Uploaded to iNaturalist from Hungary

Open Access
|Jul 2026

References

  1. Aguirre, J.M.S., Váczi, O., Biró, M., Juhász, E., Soltész, Z., Barta, B., Márton, Z., Szép, T., Halpern, B., Szentirmai, I., Károlyi, B., Czeglédi, A., Bela, G., and Tormáné Kovács, E. (2024) Citizen science for nature conservation in Hungary a three-dimensional approach. Citizen Science: Theory and Practice 9(1): 30. DOI: 10.5334/cstp.762
  2. Bartoń, K. (2019) MuMIn: Multi-model inference R package version 1.43.6. https://cran.r-project.org/package=MuMIn.
  3. Bates, D., Mächler, M., Bolker, B., and Walker, S. (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1): 148. DOI: 10.18637/jss.v067.i01
  4. Biró, M., Bölöni, J., and Molnár, Z. (2017) Use of long-term data to evaluate loss and endangerment status of Natura 2000 habitats and effects of protected areas. Conservation Biology 32(3): 660671. DOI: 10.1111/cobi.13038
  5. Burnham, K.P. and Anderson, D.R. (2002) Model selection and multimodel inference. New York, USA: Springer-Verlag. DOI: 10.1007/b97636
  6. Callaghan, C.T., Poore, A.G.B., Hofmann, M., Roberts, C.J., and Pereira, H.M. (2021) Large-bodied birds are over-represented in unstructured citizen science data. Scientific Reports 11: 19073. DOI: 10.1038/s41598-021-98584-7
  7. Carlen, E.J., Estien, C.O., Caspi, T., Perkins, D., Goldstein, B.R., Kreling, S.E.S., Hentati, Y., Williams, T.D., Stanton, L.A., Des Roches, S., Johnson, R.F., Young, A.N., Cooper, C.B., and Schell, C.J. (2024) A framework for contextualizing social-ecological biases in contributory science data. People and Nature 6: 377390. DOI: 10.1002/pan3.10592
  8. Cortés-Fossati, F., Caro-Miralles, E., Barreda, J.M., Caballero-López, B., Castro, A., Cuadrado, M., Díaz-Martínez, C., Galante, E., Germain, J., Gil-Tapetado, D., Jiménez-Dalmau, A., Melic, A., Munguira, M.L. Muñoz-Maciá, G., Sáez, L., Tormo, J.E., Verdugo, A., Vives-Moreno, A., Yela, J.L., and Méndez, M. (2025) Are scientific policies promoting internationalization related with a decline in descriptive taxonomy? Insights from the case of Spanish entomology. Insect Systematics and Diversity 9(2). DOI: 10.1093/isd/ixaf007
  9. Deacon, C., Govender, S., and Samways, M.J. (2023) Overcoming biases and identifying opportunities for citizen science to contribute more to global macroinvertebrate conservation. Biodiversity and Conservation 32: 17891806. DOI: 10.1007/s10531-023-02595-x
  10. Di Cecco, G.J., Barve, V., Belitz, M.W., Stucky, B.J., Guralnick, R.P., and Hurlbert, A.H. (2021) Observing the observers: How participants contribute data to iNaturalist and implications for biodiversity science. BioScience 71(11): 11791188. DOI: 10.1093/biosci/biab093
  11. Dimson, M. and Gillespie, T.W. (2023) Who, where, when: Observer behavior influences spatial and temporal patterns of iNaturalist participation. Applied Geography 153: 102916. DOI: 10.1016/j.apgeog.2023.102916
  12. Estien, C.O., Carlen, E.J., and Schell, C.J. (2024) Examining the influence of sociodemographic, residential segregation, and historical redlining on eBird and iNaturalist data disparities in three U.S. cities. Ecology and Society 29(3): 16. DOI: 10.5751/ES-15263-290316
  13. European Union (2020) EU Biodiversity Strategy for 2030. https://eur-lex.europa.eu/EN/legal-content/summary/eu-biodiversity-strategy-for-2030.html.
  14. Farr, T.G. and Kobrick, M. (2000) Shuttle Radar Topography Mission produces a wealth of data. EOS Transactions American Geophysical Union 81(48): 583585. DOI: 10.1029/EO081i048p00583
  15. Fontúrbel, F.E., García, J.P.A., Celis-Diez, J.L., Murúa, M.M., Vieli, L., and Díaz-Forestier, J. (2022) Engaging citizens to monitor pollinators through a nationwide BioBlitz: Lessons learned and challenges remaining after four years. Biological Conservation 300: 110868. DOI: 10.1016/j.biocon.2024.110868
  16. Gaier, A.G. and Resasco, J. (2022) Does adding community science observations to museum records improve distribution modelling of a rare endemic plant? Ecosphere 14: e4419. DOI: 10.1002/ecs2.4419
  17. Geurts, E.M., Reynolds, J.D., and Starzomski, B.M. (2023) Turning observations into biodiversity data: Broadscale spatial biases in community science. Ecosphere 14(6): e4582. DOI: 10.1002/ecs2.4582
  18. Goldstein, B.R., Stoudt, S., Lewthwaite, J.M.M., Shirey, V., Mendoza, E., and Guzman, L.M. (2024) Logistical and preference bias in participatory science butterfly data. Frontiers of Ecology and the Environment 22(8): e2783. DOI: 10.1002/fee.2783
  19. Hungarian Central Statistical Office (HCSO) (2024) https://www.ksh.hu/stadat_eng
  20. Jansen, N., Prujin, N., and Mayer, M. (2025) Citizen observations shed new light on geographic variation in colour polymorphism of a widespread reptile. Journal of Biogeography 52(3): 629640. DOI: 10.1111/jbi.15062
  21. Király, G. (ed. 2009). New Hungarian Herbal. The Vascular Plants of Hungary. Jósfavő, Hungary: Aggtelek National Park Directorate.
  22. Knape, J., Coulson, S.J., van der Wal, R., and Arlt, D. (2022) Temporal trends in opportunistic citizen science reports across multiple taxa. Ambio 51: 183198. DOI: 10.1007/s13280-021-01550-w
  23. Levrel, H., Fontaine B., Henry, P.-Y., Jiguet, F., Julliard, R., Kerbiriou, C., and Couvet, D. (2010) Balancing state and volunteer investment in biodiversity monitoring for the implementation of CBD indicators: A French example. Ecological Economics 69 (7): 15801586. DOI: 10.1016/j.ecolecon.2010.03.001
  24. Löbl, I., Klausnitzer, B., Hartmann, M., and Krell, F.-T. (2023) The silent extinction of species and taxonomists—an appeal to science policymakers and legislators. Diversity 15(10): 1053. DOI: 10.3390/d15101053
  25. Meijer, J.R., Huijbregts, M.A.J., Schotten, C.G.J., and Schipper, A.M. (2018) Global patterns of current and future road infrastructure. Environmental Research Letters 13: 064006. DOI: 10.1088/1748-9326/aabd42
  26. Mesaglio, T, Shepherd, K.A., Wege, J.A., Barrett, R.L., Sauquet, H., and Cornwell, W.K. (2025) Expert identification blitz: A rapid high value approach for assessing and improving iNaturalist identification accuracy and data precision and confidence. Plants, People, Planet 7(5): 14691484. DOI: 10.1002/ppp3.70005
  27. Molokáč, M., Hlaváčová, J., Tometzová, D., and Liptáková, E. (2022) The preference analysis for hikers’ choice of hiking trail. Sustainability 14(11): 6795. DOI: 10.3390/su14116795
  28. Ministry of Agriculture, Hungary (2019) Ecosystem Map of Hungary. 10.34811/osz.alapterkep
  29. Páll-Gergely, B. Krell, F.-T., Ábrahám, L., Bajomi, B., Balog, L.E., Boda, P., Csuzdi, C., Dányi, L., Fehér, Z., Hornok, S., Horváth, A., Kóbor, P., Koczor, S., Kontschán, J., Kovács, P., Kovács, T., Lukátsi, M., Majoros, G., Murányi, D., Németh, T., Pernecker, B., Puskás, G., Rózsa, L., Soltész, Z., Szita, É., Szűts, T., Tóth, B., Tőke, A., Vas, Z., Zsuga, K., Zsupos, V., Csabai Z., and Móra, A. (2024) Identification crisis: a fauna-wide estimate of biodiversity expertise shows massive decline in a Central European country. Biodiversity and Conservation 33: 38713903. DOI: 10.1007/s10531-024-02934-6
  30. R Core Team (2021) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.r-project.org
  31. Rimóczi, I. (1997) Plan of the Red Book and position in nature conservation of the Hungarian mushrooms. Clusiana 36: 65108.
  32. Rocchini, D., Hortal, J., Lengyel, S., Lobo, J.M., Jiménez-Valverde, A., Ricotta, C., Bacaro, G., and Chiarucci, A (2011) Accounting for uncertainty when mapping species distributions: The need for maps of ignorance. Progress in Physical Geography 35(2): 211226. DOI: 10.1177/0309133311399491
  33. Rokop, M., Srikanth, R., Albert, M., Radonic, C., Vincent, R., and Stevenson, R. (2022) Looking more carefully: a successful bioblitz orientation activity at an urban public university. Citizen Science: Theory and Practice 7(1). DOI: 10.5334/cstp.451
  34. Schmeller, D.S., Henry, P.-Y., Julliard, R., Gruber, B., Clobert, J., Dziock, F., Lengyel, S., Nowicki, P., Déri, E., Budrys, E., Kull, T., Tali, K., Bauch, B., Settele, J., Van Swaay, C., Kobler, A., Babij, V., Papastergiadou, E., and Henle, K. (2008) Advantages of volunteer-based biodiversity monitoring in Europe. Conservation Biology 23(2): 307316. DOI: 10.1111/j.1523-1739.2008.01125.x
  35. Szép, T., Nagy, K., Nagy, Z., and Halmos, G. (2012) Population trends of common breeding and wintering birds in Hungary, decline of longdistance migrant and farmland birds during 1999-2012. Ornis Hungarica 20(2): 1363. DOI: 10.2478/orhu-2013-0007
  36. Tanács, E. Belényesi, M., Lehoczki, R., Pataki, R., Petrik, O., Standovár, T., Pásztor, L., Laborczi, A., Szatmári, G., Molnár, Z., Bede-Fazekas, Á., and Varga, I. (2019) Országos, nagyfelbontású ökoszisztéma-alaptérkép: módszertan, validáció és felhasználási lehetőségek. Természetvédelmi Közlemények 25: 3458. DOI: 10.20332/tvk-jnatconserv.2019.25.34
  37. Tancoigne, E. and Dubois A. (2013) Taxonomy: no decline, but inertia. Cladistics 29: 567570. DOI: 10.1111/cla.12019
  38. Tiago, P., Ceia-Hasse, A., Marques, T.A., Capinha, C., and Pereira, H.M. (2017) Spatial distribution of citizen science casuistic observations for different taxonomic groups. Scientific Reports 7: 12832. DOI: 10.1038/s41598-017-13130-8
  39. Theobald, E.J., Ettinger, A.K., Burgess, H.K., DeBey, L.B., Schmidt, N.R., Froehlich, H.E., Wagner, C., HilleRisLambers, J., Tewksbury, J., Harsch, M.A., and Parrish, J.K. (2015) Global change and local solutions: Tapping the unrealized potential of citizen science for biodiversity research. Biological Conservation 181: 236244. DOI: 10.1016/j.biocon.2014.10.021
  40. Troudet, J., Grandcolas, P., Blin, A., Vignes-Lebbe, R., and Legendre, F. (2017) Taxonomic bias in biodiversity data and societal preferences. Scientific Reports 7: 9132. DOI: 10.1038/s41598-017-09084-6
  41. Tulloch, A.I., Mustin, K., Possingham, H.P., Szabo, J.K., and Wilson, K.A. (2013) To boldly go where no volunteer has gone before: predicting volunteer activity to prioritize surveys at the landscape scale. Diversity and Distributions 19(4): 465480. DOI: 10.1111/j.1472-4642.2012.00947.x
  42. Unger, S.D., Rollins, M., Dyer, N., and Payne, A. (2023) A walk on the beach: exploring iNaturalist observations of the Atlantic horseshoe crab, Limulus polyphemus, as a tool for conservation. Bulletin of Marine Science 99(4): 539546. DOI: 10.5343/bms.2023.0027
  43. Vásárhelyi, Z., Barta, B., Biró, M., Csabai, Z., Földvári, G., Halpern, B., Horváth, Z., Juhász, E., Károlyi, B., Kurucz, K., Márton, Z., Mezőfi, L., Lovászi, P., Páll-Gergely, B., Pernecker, B., Selmeczi-Kovács, Á., Soltész, Z., Szabó, É., Turóci, Á., Vadonleső Group, Vörös, J., and Garamszegi, L.Z. (2026) Environmental and socio-economic factors behind data provision in 17 citizen science projects. People and Nature 115. DOI: 10.1002/pan3.70335
  44. White, E., Soltis, P.S., Soltis, D.E., and Guralnick, R. (2023) Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States. PLOS One 18(12): e0295298. 10.1371/journal.pone.0295298
DOI: https://doi.org/10.5334/cstp.861 | Journal eISSN: 2057-4991
Language: English
Page range: 15 - 15
Submitted on: Apr 14, 2025
Accepted on: Jun 13, 2026
Published on: Jul 21, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Márton Szabolcs, Bálint Wenner, Edvárd Mizsei, Szabolcs Lengyel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.