Emphasis on Quality in iNaturalist Plant Collections Enhances Learning and Research Utility

References

• Balas, B., & Momsen, J. L. (2014). Attention “blinks” differently for plants and animals. CBE—Life Sciences Education, 13(3), 437–443. https://doi.org/10.1187/cbe.14-05-0080
   PubMed Web of Science ®Google Scholar
• Barve, V. V., Brenskelle, L., Li, D., Stucky, B. J., Barve, N. V., Hantak, M. M., McLean, B. S., Paluh, D. J., Oswald, J. A., Belitz, M. W., Folk, R. A., & Guralnick, R. P. (2020). Methods for broad-scale plant phenology assessments using citizen scientists’ photographs. Applications in Plant Sciences, 8(1), e11315. https://doi.org/10.1002/APS3.11315
   PubMed Web of Science ®Google Scholar
• Bieker, V. C., & Martin, M. D. (2018). Implications and future prospects for evolutionary analyses of DNA in historical herbarium collections. Botany Letters, 165(3–4), 409–418. https://doi.org/10.1080/23818107.2018.1458651
   Web of Science ®Google Scholar
• Echeverria, A., Ariz, I., Moreno, J., Peralta, J., & Gonzalez, E. M. (2021). Learning plant biodiversity in nature: The use of the citizen-science platform iNaturalist as a collaborative tool in secondary education. Sustainability, 13(2), 735. https://doi.org/10.3390/SU13020735
   Web of Science ®Google Scholar
• Fritsch, P. W., Nowell, C. F., Leatherman, L. S. T., Gong, W., Cruz, B. C., Burge, D. O., & Delgado-Salinas, A. (2018). Leaf adaptations and species boundaries in North American Cercis: Implications for the evolution of dry floras. American Journal of Botany, 105(9), 1577–1594. https://doi.org/10.1002/ajb2.1155
   PubMed Web of Science ®Google Scholar
• Gazdic, M., & Groom, Q. (2019). iNaturalist is an unexploited source of plant-insect interaction data. Biodiversity Information Science and Standards, 41. https://link.gale.com/apps/doc/A646476433/AONE?u=anon~d45a11af&sid=googleScholar&xid=bf2dbf4b
   Google Scholar
• Gómez-Bellver, C., Ibáñez, N., López-Pujol, J., Nualart, N., & Susanna, A. (2019). How photographs can be a complement of herbarium vouchers: A proposal of standardization. Taxon, 68(6), 1321–1326. https://doi.org/10.1002/tax.12162
   Web of Science ®Google Scholar
• Heberling, J. M., & Isaac, B. L. (2018). iNaturalist as a tool to expand the research value of museum specimens. Applications in Plant Sciences, 6(11), e1193. https://doi.org/10.1002/aps3.1193
   Web of Science ®Google Scholar
• Heberling, J. M., Prather, L. A., & Tonsor, S. J. (2019). The changing uses of herbarium data in an era of global change: An overview using automated content analysis. BioScience, 69(10), 812–822. https://doi.org/10.1093/biosci/biz094
   Web of Science ®Google Scholar
• Jones, H. G. (2020). What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora. AoB PLANTS, 12(6), plaa052. https://doi.org/10.1093/aobpla/plaa052
   PubMed Web of Science ®Google Scholar
• Jose, S. B., Wu, C. H., & Kamoun, S. (2019). Overcoming plant blindness in science, education, and society. Plants People Planet, 1(3), 169–172. https://doi.org/10.1002/ppp3.51
   PubMedGoogle Scholar
• Krimmel, E. R., Linton, D. L., Marsico, T. D., Monfils, A. K., Morris, A. B., & Ruhfel, B. R. (2021). Connecting students to citizen science and curated collections. https://collectionseducation.org
   Google Scholar
• Krosnick, S. E., Baker, J. C., & Moore, K. R. (2018). The Pet Plant Project: Treating plant blindness by making plants personal. American Biology Teacher, 80(5), 339–345. https://doi.org/10.1525/abt.2018.80.5.339
   Web of Science ®Google Scholar
• Kuiper, S. R., Carver, R. H., Posner, M. A., & Everson, M. G. (2015). Four perspectives on flipping the statistics classroom: Changing pedagogy to enhance student-centered learning. Problems, Resources, and Issues in Mathematics Undergraduate Studies, 25(8), 655–682. https://doi.org/10.1080/10511970.2015.1045573
   Google Scholar
• Liston, A., & Struwe, L. (2018). Activity: iNaturalist observation project. Botany Depot. https://botanydepot.com/2020/03/21/activity-inaturalist-observation-project-by-aaron-liston
   Google Scholar
• Miller-Rushing, A. J., Primack, R. B., Primack, D., & Mukunda, S. (2006). Photographs and herbarium specimens as tools to document phenological changes in response to global warming. American Journal of Botany, 93(11), 1667–1674. https://doi.org/10.3732/ajb.93.11.1667
   PubMed Web of Science ®Google Scholar
• Parsley, K. M. (2020). Plant awareness disparity: A case for renaming plant blindness. Plants People Planet, 2(6), 598–601. https://doi.org/10.1002/ppp3.10153
   Google Scholar
• Schiller, C., Schmidtlein, S., Boonman, C., Moreno-Martínez, A., & Kattenborn, T. (2021). Deep learning and citizen science enable automated plant trait predictions from photographs. Nature Scientific Reports, 11(1), 1–12. https://doi.org/10.1038/s41598-021-95616-0
   PubMedGoogle Scholar
• Van Horn, G., Aodha, O. M., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P., & Belongie, S. (2018). The iNaturalist species classification and detection dataset. arXiv. https://doi.org/10.48550/arXiv.1707.06642
   Google Scholar
• Weaver, W. N., Ng, J., & Laport, R. G. (2020). LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens. Applications in Plant Sciences, 8(6), e11367. https://doi.org/10.1002/aps3.11367
   PubMed Web of Science ®Google Scholar