Вклад наблюдений iNaturalist в глобальные цифровые данные о распространении беспозвоночных в Европейской России
DOI:
https://doi.org/10.52575/2712-9047-2026-8-1-132-141Ключевые слова:
GBIF, iNaturalist, Araneae, Carabidae, Lumbricidae, европейская часть России, научное волонтерствоАннотация
Цель работы – оценка вклада наблюдений iNaturalist в доступные через глобальный портал о биоразнообразии GBIF данные о распространении пауков (Arthropoda, Arachnida, Araneae), жужелиц (Arthropoda, Insecta, Carabidae) и дождевых червей (Annelida, Clitellata, Lumbricidae) в Европейской России. Показано, что наибольший вклад iNaturalist вносит в GBIF-данные о пауках, являясь для этой группы ведущим по числу записей источником. Однако на основе iNaturalist выявлено только 18,4–49,2 % от общего числа видов анализируемых групп беспозвоночных. Доля видов, представленных только в наблюдениях, невелика и составляет от 0 до 10,6 %. Состав наиболее часто регистрируемых видов в iNaturalist отличается от такового в научных источниках GBIF. Наблюдения iNaturalist существенно расширяют пространственный охват данных о распространении пауков и жужелиц и незначительно дополняют сведения о распространении дождевых червей. Пространственное распределение точек встреч видов всех анализируемых групп беспозвоночных отклоняется от случайного.
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Список литературы
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Dimson M., 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
Feldman M.J., Imbeau L., Marchand P., Mazerolle M.J., Darveau M., Fenton N.J. 2021. Trends and gaps in the use of citizen science derived data as input for species distribution models: A quantitative review. PLoS ONE, 16(3): e0234587. DOI: 10.1371/journal.Pone.0234587
GBIF.org. Araneae (07 September 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.3hn6vm
GBIF.org. Carabidae (07 September 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.ed99k8
GBIF.org. Lumbricidae (07 September 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.3fz7ks
Hochmair H.H., Scheffrahn R.H., Basille M., Boone M. 2020. Evaluating the data quality of iNaturalist termite records. PLoS ONE, 15(5): e0226534. DOI: 10.1371/journal.pone.0226534
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iNaturalist contributors, iNaturalist. 2012. iNaturalist Research-grade Observations. iNaturalist.org. Occurrence dataset. Global Biodiversity Information Facility. https://doi.org/10.15468/ab3s5x accessed via GBIF.org on 2025-12-03.
Ivanova N., Shashkov M. 2020. Contribution of Citizen Science to Biodiversity Data Mobilization in Russia. Biodiversity Information Science and Standards, 4: e59197. DOI: 10.3897/biss.4.59197
Ivanova N.V., Shashkov M.P., Ermolov S.A. 2025. Diversity of earthworm communities in the European part of Russia: field data and model estimations. Ecosystem Transformation, 8(4): 120–137. DOI: 10.23859/estr-240206
James S.W., Csuzdi C., Chang C.-H., Aspe N.M., Jiménez J.J., Feijoo A., Blouin M., Lavelle P. 2021. Comment on "Global distribution of earthworm diversity". Science, 371(6525): 1–3. DOI: 10.1126/science.abe4629
Matutini F., Baudry J., Pain G., Sineau M., Pithon J. 2021. How citizen science could improve species distribution models and their independent assessment. Ecology and evolution, 11(7): 3028–3039. DOI: 10.1002/ece3.7210
Phillips H.R.P., Bach E.M., Bartz M.L.C. et al. 2021. Global data on earthworm abundance, biomass, diversity and corresponding environmental properties. Nature Scientific Data, 8(136): 1–13. DOI: 10.1038/s41597-021-00912-z
Phillips H.R.P., Guerra C.A., Bartz M.L.C., et al., 2019. Global distribution of earthworm diversity. Science, 366(6464): 480–485. DOI: 10.1126/science.aax4851
Potapov A.M., Chen T-W., Striuchkova A.V., et al. 2024. Global fine-resolution data on springtail abundance and community structure. Scientific Data, 11, 22. DOI: 10.1038/s41597-023-02784-x
Rabadán-González J., Rodríguez-Rodríguez E., Sarrión J.A., Rengel J., Savijn A. 2018. De Observado.org: Breve historia y toma de datos de calidad mediante aplicaciones móviles. Chronica naturae, 7: 55–62.
Raymond M., Rodrigues A., Russell L.A. 2022. Introduction to GBIF course First edition. GBIF Secretariat: Copenhagen. DOI: 10.35035/ce-fcmk-aq49
R Core Team. 2025. R: A Language and Environment for Statistical Computing. Available at: https://www.R-project.org/ (accessed: December 20, 2025)
Schultheiss P., Nooten S.S., Wang R., Wong M.K. L., Brassard F., Guénard B. 2022. The abundance, biomass, and distribution of ants on Earth. PNAS, 119(40): e2201550119 DOI: 10.1073/pnas.2201550119
Seltzer C. 2019. Making Biodiversity Data Social, Shareable, and Scalable: Reflections on iNaturalist & citizen science. Biodiversity Information Science and Standards, 3: e46670 DOI: 10.3897/biss.3.46670
Seregin A.P., Bochkov D.A., Shner J.V., et al. 2020. "Flora of Russia" on iNaturalist: a dataset. Biodiversity Data Journal, 8: e59249. DOI: 10.3897/BDJ.8.e59249
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Sullivan B.L., Aycrigg J.L., Barry J.E., et al. 2014. The eBird enterprise: An integrated approach to development and application of citizen science. Biological conservation, 169: 31–40. DOI: 10.1016/j.biocon.2013.11.003
Sullivan B.L., Wood C.L., Iliff M.J., Bonney R.E., Fink D., Kelling S. 2009 eBird: a citizen-based bird observation network in the biological sciences. Biological Conservation, 142: 2282–2292. DOI: 10.1016/j.biocon.2009.05.006
van den Hoogen J., Geisen S., Routh D., et al. 2019. Soil nematode abundance and functional group composition at a global scale. Nature, 572: 194–198. DOI: 10.1038/s41586-019-1418-6
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