Skip to main content Skip to main navigation menu Skip to site footer
Type: Correspondence
Published: 2023-04-20
Page range: 347-350
Abstract views: 1379
PDF downloaded: 765

Can ChatGPT be leveraged for taxonomic investigations? Potential and limitations of a new technology

Biology Department; Wheaton College; 26 East Main Street; Norton; Massachusetts; USA 02766
General ChatGPT AI taxonomic investigations

References

  1. Allken V., Handegard, N.O., Rosen, S., Schreyeck, T., Mahiout, T. & Malde, K. (2018) Fish species identification using a convolutional neural network trained on synthetic data. ICES Journal of Marine Science, 76 (1), 342–349. https://doi.org/10.1093/icesjms/fsy147 DOI: https://doi.org/10.1093/icesjms/fsy147
  2. Arif T.B., Munaf, U. & Ul-Haque, I. (2023) The future of medical education and research: Is ChatGPT a blessing or blight in disguise? Medical education online, 28 (1), 2181052. https://doi.org/10.1080/10872981.2023.2181052 DOI: https://doi.org/10.1080/10872981.2023.2181052
  3. Armbrust, E.V. & Palumbi, S.R. (2015) Uncovering hidden worlds of ocean biodiversity. Science, 348 (6237), 865–867. https://doi.org/10.1126/science.aaa7378 DOI: https://doi.org/10.1126/science.aaa7378
  4. Drew, L.W. (2011) Are we losing the science of taxonomy? As need grows, numbers and training are failing to keep up. BioScience, 61 (12), 942–946. https://doi.org/10.1525/bio.2011.61.12.4 DOI: https://doi.org/10.1525/bio.2011.61.12.4
  5. Hochkirch, A., Samways, M.J., Gerlach, J., Bohm, M., Williams, P., Cardoso, P., Cumberlidge, N., Stephenson, P.J., Seddon, M.B., Clausnitzer, V., Borges, P.A.V., Mueller, G.M., Pearce-Kelly, P., Raimondo, D.C., Danielczak, A. & Dijkstra, K-D.B. (2021) A strategy for the next decade to address data deficiency in neglected biodiversity. Conservation Biology, 35 (2), 502–509. https://doi.org/10.1111/cobi.13589 DOI: https://doi.org/10.1111/cobi.13589
  6. Khuroo, A.A., Dar, G.H., Khan, Z.S. & Malik, A.H. (2007) Exploring an inherent interface between taxonomy and biodiversity: current problems and future challenges. Journal for Nature Conservation, 15, 256–261. https://doi.org/10.1016/j.jnc.2007.07.003 DOI: https://doi.org/10.1016/j.jnc.2007.07.003
  7. Malan, A., Williams, J.D., Abe, H., Sato-Okoshi, W., Matthee, C.A. & Simon, C.A. (2020) Clarifying the cryptogenic species Polydora neocaeca Williams & Radashevsky, 1999 (Annelida: Spionidae): a shell-boring invasive pest of molluscs from locations worldwide. Marine Biodiversity, 50, 51. https://doi.org/10.1007/s12526-020-01066-8 DOI: https://doi.org/10.1007/s12526-020-01066-8
  8. Martinelli, J.C., Lopes, H.M., Hauser, L., Jimenez-Hidalgo, I., King, T.L., Padilla-Gamino, J.L., Rawson, P., Spencer, L.H., Williams, J.D. & Wood, C.L. (2020) Confirmation of the shell-boring oyster parasite Polydora websteri (Polychaeta: Spionidae) in Washington State, USA. Scientific Reports, 10, 3961. https://doi.org/10.1038/s41598-020-60805-w DOI: https://doi.org/10.1038/s41598-020-60805-w
  9. Pauchard, A., Meyerson, L.A., Bacher, S., Blackburn, T.M., Brundu, G., Cadotte, M.W., Courchamp, F., Essl, F., Genovesi, P., Haider, S., Holmes, N.D., Hulme, P.E., Jeschke, J.M., Lockwood, J.L., Novoa, A., Nunez, M.A., Peltzer, D.A., Pysek, P., Richardson, D.M., Simberloff, D., Smith, K., van Wilgen, B.W., Vila, M., Wilson, J.R.U., Winter, M. & Zenni, R.D. (2018) Biodiversity assessments: origin matters. PLoS Biology, 16 (11), e2006686. https://doi.org/10.1371/journal.pbio.2006686 DOI: https://doi.org/10.1371/journal.pbio.2006686
  10. Pederson, J., Carlton, J.T., Bastidas, C., David, A., Grady, S., Green-Gavrielidis, L., Hobbs, N-V., Kennedy, C., Knack, J., McCuller, M., O’Brien, B., Osborne, K., Pankey, S. & Trott, T. (2021) BioInvasions Records, 10 (2), 227 – 237. https://doi.org/10.3391/bir.2021.10.2.01 DOI: https://doi.org/10.3391/bir.2021.10.2.01
  11. Pysek, P., Hulme, P.E., Meyerson, L.A., Smith, G.F., Boatwright, J.S., Crouch, N.R., Figueiredo, E., Foxcroft, L.C., Jarosik, V., Richardson, D.M., Suda, J. & Wilson, J.R.U. (2013) Hitting the right target: taxonomic challenges for, and of, plant invasions. AoB PLANTS, 5. https://doi.org/10.1093/aobpla/plt042 DOI: https://doi.org/10.1093/aobpla/plt042
  12. Rohde, S., Schupp, P.J., Markert, A. & Wehrmann, A. (2017) Only half of the truth: Managing invasive alien species by rapid assessment. Ocean & Coastal Management, 146, 26–35. https://doi.org/10.1016/j.ocecoaman.2017.05.013 DOI: https://doi.org/10.1016/j.ocecoaman.2017.05.013
  13. Thenmozhi, K., Dakshayani, S. & Srinivasulu, R.U. (2021) Insect classification and detection in field crops using modern machine learning techniques. Information Processing in Agriculture, 8, 446–457.
  14. https://doi.org/10.1016/j.inpa.2020.09.006 DOI: https://doi.org/10.1016/j.inpa.2020.09.006
  15. Tan, J.W., Chang, S.W., Abdul-Kareem, S., Yap, H.J. & Yong, K.T. (2020) Deep learning for plant species classification using leaf vein morphometric. IEE-ACM Transactions on Computational Biology and Bioinformatics, 17 (1), 82–90. https://doi.org/10.1109/TCBB.2018.2848653 DOI: https://doi.org/10.1109/TCBB.2018.2848653
  16. Tan, H.Y., Goh, Z.Y., Loh, K., Then, A.Y., Omar, H. & Chang, S. (2021) Cephalopod species identification using integrated analysis of machine learning and deep learning approaches. PeerJ, 9, e11825. https://doi.org/10.7717/peerj.11825 DOI: https://doi.org/10.7717/peerj.11825
  17. Thomson, S.A., Pyle, R.L., Ahyong, S.T., Alonso-Zarazaga, M., Ammirati, J., Araya, J.F., Ascher J.S., Audisio, T.L., Azevedo-Santos, V.M., Bailly, N., Baker, W.J., Balke, M., Barclay, M.V.L., Barrett, R.L., Benine, R.C., Bickerstaff, J.R.M., Bouchard, P., Bour, R., Bourgoin, T., Boyko, C.B., Breure, A.S.H., Brothers, D.J., Byng, J.W., Campbell, D., Ceríaco, L.M.P., Cernák, I., Cerretti, P., Chang, C.-H., Cho, S., Copus, J.M., Costello, M.J., Cseh, A., Csuzdi, C., Culham, A., D’Elía, G., d’Udekem d’Acoz, C., Daneliya, M.E., Dekker, R., Dickinson, E.C., Dickinson, T.A., van Dijk, P.P., Dijkstra, K.-D.B., Dima, B., Dmitriev, D.A., Duistermaat, L., Dumbacher, J.P., Eiserhardt, W.L., Ekrem, T., Evenhuis, N.L., Faille, A., Fernández-Triana, J.L., Fiesler, E., Fishbein, M., Fordham, B.G., Freitas, A.V.L., Friol, N.R., Fritz, U., Frøslev, T., Funk, V.A., Gaimari, S.D., Garbino, G.S.T., Garraffoni, A.R.S., Geml, J., Gill, A.C., Gray, A., Grazziotin, F.G., Greenslade, P., Gutiérrez, E.E., Harvey, M.S., Hazevoet, C.J., He, K., He, X., Helfer, S., Helgen, K.M., van Heteren, A.H., Hita Garcia, F., Holstein, N., Horváth, M.K., Hovenkamp, P.H., Hwang W.S., Hyvönen, J., Islam, M.B., Iverson, J.B., Ivie, M.A., Jaafar Z., Jackson, M.D., Jayat, J.P., Johnson, N.F., Kaiser, H., Klitgård, B.B., Knapp, D.G., Kojima, J.-I., Kõljalg, U., Kontschán, J., Krell, F.-T., Krisai-Greilhuber, I., Kullander, S., Latella, L., Lattke, J.E., Lencioni, V., Lewis, G.P., Lhano, M.G., Lujan, N.K., Luksenburg, J.A., Mariaux, J., Marinho-Filho, J., Marshall, C.J., Mate, J.F., McDonough, M.M., Michel, E., Miranda, V.F.O., Mitroiu, M.-D., Molinari, J., Monks, S., Moore, A.J., Moratelli, R., Murányi, D., Nakano, T., Nikolaeva, S., Noyes, J., Ohl, M., Oleas, N.H., Orrell, T., Páll-Gergely, B., Pape, T., Papp, V., Parenti, L.R., Patterson, D., Pavlinov, I.Y., Pine, R.H., Poczai, P., Prado, J., Prathapan, D., Rabeler, R.K., Randall, J.E., Rheindt F.E., Rhodin, A.G.J., Rodríguez, S.M., Rogers, D.C., Roque, F.D.O., Rowe, K.C., Ruedas, L.A., Salazar-Bravo, J., Salvador, R.B., Sangster, G., Sarmiento, C.E., Schigel, D.S., Schmidt, S., Schueler, F.W., Segers, H., Snow, N., Souza-Dias, P.G.B., Stals, R., Stenroos, S., Stone, R.D., Sturm, C.F., Štys, P., Teta, P., Thomas, D.C., Timm, R.M., Tindall, B.J., Todd, J.A., Triebel, D., Valdecasas, A.G., Vizzini, A., Vorontsova, M.S., de Vos, J.M., Wagner, P., Watling, L., Weakley, A., Welter-Schultes, F., Whitmore, D., Wilding, N., Will, K., Williams, J., Wilson, K., Winston, J.E., Wüster, W., Yanega, D., Yeates, D.K., Zaher, H., Zhang, G., Zhang, Z.-Q. & Zhou, H.-Z. (2018) Taxonomy based on science is necessary for global conservation. PLoS Biology, 16, e2005075. https://doi.org/10.1371/journal.pbio.2005075 DOI: https://doi.org/10.1371/journal.pbio.2005075
  18. van Dis, E.A.M., Bollen, J., Zuidema, W., van Rooij, R. & Bockting, C.L. (2023) ChatGPT: five priorities for research. Nature, 614, 224–226. https://doi.org/10.1038/d41586-023-00288-7 DOI: https://doi.org/10.1038/d41586-023-00288-7
  19. Zhu, J.J., Jiang, J., Yang, M. & Ren, Z.J. (2023) ChatGPT and environmental research. Environmental Science & Technology. https://doi.org/10.1021/acs.est.3c01818 DOI: https://doi.org/10.1021/acs.est.3c01818
  20. Zhu, Y., Han, D., Chen, S., Zeng, F. & Wang, C. (2023) How can ChatGPT benefit pharmacy: A case report on review writing. Preprints, Mar. 20, 2023. https://doi.org/10.20944/preprints202302.0324.v1 DOI: https://doi.org/10.20944/preprints202302.0324.v1