Published December 21, 2020
| Version v1
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An inventory of online reptile images
Creators
- 1. Suranaree University of Technology, Nakhon Ratchasima, Thailand
- 2. Scotts Mills, Oregon 97375, USA. herps2apes@gmail.com
- 3. Sam Noble Museum, Norman, Oklahoma 73072, USA. vitt@ou.edu
- 4. Royal Ontario Museum, Toronto, ON, Canada. bernardoph@gmail.com
- 5. Society for Southeast Asian Herpetology, Heidelberg, Germany
- 6. Staatliches Museum f̹r Naturkunde Stuttgart, Stuttgart, Germany
- 7. Zoologische Staatssammlung München (ZSM-SNSB), 81247 München, Germany. franzen@snsb.de
- 8. Universität Hamburg, Centrum für Naturkunde, Hamburg, Germany
Description
Marshall, Benjamin Michael, Freed, Paul, Vitt, Laurie J., Bernardo, Pedro, Vogel, Gernot, Lotzkat, Sebastian, Franzen, Michael, Hallermann, Jakob, Sage, Richard D., Bush, Brian, Duarte, Marcelo Ribeiro, Avila, Luciano Javier, Jandzik, David, Klusmeyer, Boris, Maryan, Brad, Hošek, Jiří, Uetz, Peter (2020): An inventory of online reptile images. Zootaxa 4896 (2): 251-264, DOI: 10.11646/zootaxa.4896.2.6
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References
- Allain, S. (2019) Mining Flickr: a method for expanding the known distribution of invasive species. Herpetological Bulletin, 148, 11-14. https://doi.org/10.33256/hb148.1114
- Auliya, M., Altherr, S., Ariano-Sanchez, D., Baard, E.H., Brown, C., Brown, R.M., Cantu, J., Gentile, G., Gildenhuys, P., Henningheim, E., Hintzmann, J., Kanari, K., Krvavac, M., Lettink, M., Lippert, J., Luiselli, L., Nilson, G., Nguyen, T.Q., Nijman, V., Parham, J.F., Pasachnik, S.A., Pedrono, M., Rauhaus, A., Rueda Cordova, D., Sanchez, M.E., Schepp, U., van Schingen, M., Schneeweiss, N., Segniagbeto, G.H., Somaweera, R., Sy, E.Y., Tʾ rkozan, O., Vinke, S., Vinke, T., Vyas, R., Williamson, S. & Ziegler, T. (2016) Trade in live reptiles, its impact on wild populations, and the role of the European market. Biological Conservation, 204, 103-119. https://doi.org/10.1016/j.biocon.2016.05.017
- Austen, G.E., Bindemann, M., Griffiths, R.A. & Roberts, D.L. (2016) Species identification by experts and non-experts: comparing images from field guides. Scientific Reports, 6, 33634. https://doi.org/10.1038/srep33634
- Austen, G.E., Bindemann, M., Griffiths, R.A. & Roberts, D.L. (2018) Species identification by conservation practitioners using online images: accuracy and agreement between experts. PeerJ, 6, e4157. https://doi.org/10.7717/peerj.4157
- Botella, C., Joly, A., Bonnet, P., Monestiez, P. & Munoz, F. (2018) Species distribution modeling based on the automated identification of citizen observations. Applications in Plant Sciences, 6, e1029. https://doi.org/10.1002/aps3.1029
- Chang, W. (2015) downloader: Download files over HTTP and HTTPS. Available from: https://CRAN.R-project.org/ package=downloader (accessed 31 October 2020)
- Drury, J.P., Barnes, M., Finneran, A.E., Harris, M. & Grether, G.F. (2019) Continent-scale phenotype mapping using citizen scientists' photographs. Ecography, 42, 1436-1445. https://doi.org/10.1111/ecog.04469
- Dylewski, L., Mikula, P., Tryjanowski, P., Morelli, F. & Yosef, R. (2017) Social media and scientific research are complementary-YouTube and shrikes as a case study. The Science of Nature, 104, 48. https://doi.org/10.1007/s00114-017-1470-8
- Egloff, W., Agosti, D., Kishor, P., Patterson, D. & Miller, J. (2017) Copyright and the use of images as biodiversity data. Research Ideas and Outcomes, 3, e12502. https://doi.org/10.3897/rio.3.e12502
- Farnsworth, E.J., Chu, M., Kress, W.J., Neill, A.K., Best, J.H., Pickering, J., Stevenson, R.D., Courtney, G.W., VanDyk, J.K. & Ellison, A.M. (2013) Next-generation field guides. BioScience, 63, 891-899. https://doi.org/10.1525/bio.2013.63.11.8
- Fernandes, R.F., Scherrer, D. & Guisan, A. (2018) Effects of simulated observation errors on the performance of species distribution models. Diversity and Distributions, 25.3, 1-14. https://doi.org/10.1111/ddi.12868
- Flickr Development Team (2019) Flickr API. Flickr. Available from: https://www.flickr.com/services/api/ (accessed 31 October 2020)
- Gibbon, G.E.M., Bindemann, M. & Roberts, D.L. (2015) Factors affecting the identification of individual mountain bongo antelope. PeerJ, 3, e1303. https://doi.org/10.7717/peerj.1303
- Heberle, H., Meirelles, G.V., da Silva, F.R., Telles, G.P. & Minghim, R. (2015) InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. BMC Bioinformatics, 16, 169. https://doi.org/10.1186/s12859-015-0611-3
- Hedges, S.B., Dudley, J. & Kumar, S. (2006) TimeTree: A public knowledge-base of divergence times among organisms. Bioinformatics, 22, 2971-2972. https://doi.org/10.1093/bioinformatics/btl505
- Hijmans, R.J. (2020) raster: Geographic data analysis and modeling.Available from:https://CRAN.R-project.org/package=raster (accessed 31 October 2020)
- Jaric, I., Correia, R.A., Brook, B.W., Buettel, J.C., Courchamp, F., Di Minin, E., Firth, J.A., Gaston, K.J., Jepson, P., Kalinkat, G., Ladle, R., Soriano-Redondo, A., Souza, A.T. & Roll, U. (2020) iEcology: Harnessing large online resources to generate ecological insights. Trends in Ecology & Evolution, S016953472030077X. https://doi.org/10.1016/j.tree.2020.03.003
- Jimenez-Valverde, A., Pena-Aguilera, P., Barve, V. & Burguillo-Madrid, L. (2019) Photo-sharing platforms key for characterising niche and distribution in poorly studied taxa. In: Leather, S. & Stewart, A. (Eds.), Insect Conservation and Diversity, icad.12351. https://doi.org/10.1111/icad.12351
- Joly, A., Goeau, H., Deneu, B., Cole, E., de Castaneda, R.R., Bolon, I., Durso, A., Lorieul, T., Glotin, H., Eggel, I., Vellinga, W.-P. & Muller, H. (2020) Overview of LifeCLEF 2020: a system-oriented evaluation of automated species identification and species distribution Prediction. Lecture Notes in Computer Science, 25, 342-363 https://doi.org/10.1007/978-3-030-58219-7_23
- Kassambara, A. (2018) ggpubr: "ggplot2" based publication ready plots. Available from: https://CRAN.R-project.org/ package=ggpubr (accessed 31 October 2020)
- Keyes, O., Jacobs, J., Schmidt, D., Greenaway, M., Rudis, B., Pinto, A., Khezrzadeh, M., Meilstrup, P., Costello, A.M., Bezanson, J., Meilstrup, P. & Jiang, X. (2019) urltools: Vectorised tools for URL handling and parsing. Available from: https:// cran.r-project.org/package=urltools (accessed 31 October 2020)
- Kidd, L.R., Gregg, E.A., Bekessy, S.A., Robinson, J.A. & Garrard, G.E. (2018) Tweeting for their lives: Visibility of threatened species on twitter. Journal for Nature Conservation, 46, 106-109. https://doi.org/10.1016/j.jnc.2018.10.001
- Kosmala, M., Wiggins, A., Swanson, A. & Simmons, B. (2016) Assessing data quality in citizen science. Frontiers in Ecology and the Environment, 14, 551-560. https://doi.org/10.1002/fee.1436
- Kumar, S. & Hedges, S.B. (2011) Timetree2: Species divergence times on the iPhone. Bioinformatics, 27, 2023-2024. https://doi.org/10.1093/bioinformatics/btr315
- Kumar, S., Stecher, G., Suleski, M. & Hedges, S.B. (2017) TimeTree: A resource for timelines, timetrees, and divergence times. Molecular biology and evolution, 34, 1812-1819. https://doi.org/10.1093/molbev/msx116
- Lang, D.T. & The CRAN Team (2018) RCurl: General Network (HTTP/FTP/...) Client interface for R. Available from: https:// CRAN.R-project.org/package=RCurl (accessed 31 October 2020)
- Mahendiran, M., Parthiban, M., Azeez, P.A. & Nagarajan, R. (2018) In situ measurements of animal morphological features: A non-invasive method. In: Fisher, D. (Ed.), Methods in Ecology and Evolution, 9, pp. 613-623. https://doi.org/10.1111/2041-210X.12898
- Maritz, R.A. & Maritz, B. (2020) Sharing for science: high-resolution trophic interactions revealed rapidly by social media. PeerJ, 8, e9485. https://doi.org/10.7717/peerj.9485
- Marshall, B.M. & Strine, C.T. (2019a) Exploring snake occurrence records: Spatial biases and marginal gains from accessible social media. PeerJ, 7, e8059. https://doi.org/10.7717/peerj.8059
- Marshall, B.M. & Strine, C.T. (2019b) Supplementary information for Marshall & Strine 2019: Code, data and packages. PeerJ, 7, e8059. https://doi.org/10.7717/peerj.8059
- Marshall, B.M., Strine, C. & Hughes, A.C. (2020) Thousands of reptile species threatened by under-regulated global trade. Nature Communications, 11, 4738. https://doi.org/10.1038/s41467-020-18523-4
- McClain, C.R. (2019) Likes, comments, and shares of marine organism imagery on Facebook. PeerJ, 7, e6795. https://doi.org/10.7717/peerj.6795
- Measey, J., Basson, A., Rebelo, A.D., Nunes, A.L., Vimercati, G., Louw, M. & Mohanty, N.P. (2019) Why have a pet amphibian? Insights from YouTube. Frontiers in Ecology and Evolution, 7, 52. https://doi.org/10.3389/fevo.2019.00052
- Miranda, E.B.P., Ribeiro, R.P. & Strʾ ssmann, C. (2016) The ecology of human-anaconda conflict: a study using internet videos. Tropical Conservation Science 9, 43-77. https://doi.org/10.1177/194008291600900105
- Miralles, A., Bruy, T., Wolcott, K., Scherz, M.D., Begerow, D., Beszteri, B., Bonkowski, M., Felden, J., Gemeinholzer, B., Glaw, F., Glockner, F.O., Hawlitschek, O., Kostadinov, I., Nattkemper, T.W., Printzen, C., Renz, J., Rybalka, N., Stadler, M., Weibulat, T., Wilke, T., Renner, S.S. & Vences, M. (2020) Repositories for Taxonomic Data: Where We Are and What is Missing. Systematic biology, 69, 1231-1253 https://doi.org/10.1093/sysbio/syaa026
- Murphy, J.C., Jowers, M.J., Lehtinen, R.M., Charles, S.P., Colli, G.R. Jr., A.K.P., Hendry, C.R. & Pyron, R.A. (2016) Cryptic, sympatric diversity in Tegu Lizards of the Tupinambis teguixin group (Squamata, Sauria, Teiidae) and the description of three new species. PLOS ONE, 11, e0158542. https://doi.org/10.1371/journal.pone.0158542
- Ooms, J. (2014) The jsonlite Package: A practical and consistent mapping between JSON data and R objects. arXiv, 1403.2805. [published online]
- Otsuka, R. & Yamakoshi, G. (2020) Analyzing the popularity of YouTube videos that violate mountain gorilla tourism regulations. In: Lau, E.H. (Ed.), PLOS ONE, 15, e0232085. https://doi.org/10.1371/journal.pone.0232085
- Paradis, E. & Schliep, K. (2019) ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics, 35, 526-528.
- Pebesma, E. (2018) Simple features for r: Standardized support for spatial vector data. The R Journal, 10, 439-446. https://doi. org/10.32614/RJ-2018-009
- Pedersen, T.L. & Crameri, F. (2018) scico: Colour Palettes Based on the Scientific Colour-Maps. https://cran.r-project.org/web/packages/scico/index.html
- Poisot, T., Mounce, R. & Gravel, D. (2013) Moving toward a sustainable ecological science: don't let data go to waste! Ideas in Ecology and Evolution, 6 (2), 11-19. https://doi.org/10.4033/iee.2013.6b.14.f
- R Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from: https://www.r-project.org/ (accessed 31 October 2020)
- R Studio Team (2020) RStudio: Integrated Development Environment for R. RStudio, Inc., Boston, MA. Available from: http:// www.rstudio.com/ (accewssed 10 November 2020)
- Roll, U., Feldman, A., Novosolov, M., Allison, A., Bauer, A.M., Bernard, R., Bohm, M., Castro-Herrera, F., Chirio, L., Collen, B., Colli, G.R., Dabool, L., Das, I., Doan, T.M., Grismer, L.L., Hoogmoed, M., Itescu, Y., Kraus, F., LeBreton, M., Lewin, A., Martins, M., Maza, E., Meirte, D., Nagy, Z.T., de C. Nogueira, C., Pauwels, O.S.G., Pincheira-Donoso, D., Powney, G.D., Sindaco, R., Tallowin, O.J.S., Torres-Carvajal, O., Trape, J.-F., Vidan, E., Uetz, P., Wagner, P., Wang, Y., Orme, C.D.L., Grenyer, R. & Meiri, S. (2017) The global distribution of tetrapods reveals a need for targeted reptile conservation. Nature Ecology & Evolution, 1, 1677-1682. https://doi.org/10.1038/s41559-017-0332-2
- Roll, U., Mittermeier, J.C., Diaz, G.I., Novosolov, M., Feldman, A., Itescu, Y., Meiri, S. & Grenyer, R. (2016) Using Wikipedia page views to explore the cultural importance of global reptiles. Biological Conservation, 204, 42-50. https://doi.org/10.1016/j.biocon.2016.03.037
- Ross, N. (2020) fasterize: Fast polygon to raster conversion. Available from: https://CRAN.R-project.org/package=fasterize (accessed 31 October 2020)
- Slowikowski, K. (2018) ggrepel: Automatically Position Non-Overlapping Text Labels with "ggplot2." Available from: https:// CRAN.R-project.org/package=ggrepel (accessed 31 October 2020)
- Waldchen, J., Rzanny, M., Seeland, M. & Mader, P. (2018) Automated plant species identification-Trends and future directions. In: Bucksch, A. (Ed.), PLOS Computational Biology, 14, e1005993. https://doi.org/10.1371/journal.pcbi.1005993
- Wickham, H. (2016) ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. Available from: https://cran. r-project.org/web/packages/ggplot2/index.html (accessed 31 October 2020)
- Wickham, H. (2019a) rvest: Easily Harvest (Scrape) Web Pages. Available from: https://CRAN.R-project.org/package=rvest (accessed 31 October 2020)
- Wickham, H. (2019b) stringr: Simple, consistent wrappers for common string operations. Available from: https://CRAN.Rproject.org/package=stringr (accessed 31 October 2020)
- Wickham, H., Francois, R., Henry, L. & Mʾ ller, K. (2019) dplyr: A Grammar of Data Manipulation. Available from: https:// CRAN.R-project.org/package=dplyr (accessed 31 October 2020)
- Wickham, H. & Henry, L. (2019) tidyr: Easily Tidy Data with "spread()" and "gather()" Functions. Available from: https:// CRAN.R-project.org/package=tidyr (accessed 31 October 2020)
- Wickham, H., Hester, J. & Ooms, J. (2018) xml2: Parse XML. Available from: https://CRAN.R-project.org/package=xml2 (accessed 31 October 2020)
- Wilke, C.O. (2019) cowplot: Streamlined plot theme and plot annotations for "ggplot2." Available from: https://CRAN.R-project.org/package=cowplot (accessed 31 October 2020)
- Yu, G., Lam, T.T.-Y., Zhu, H. & Guan, Y. (2018) Two methods for mapping and visualizing associated data on phylogeny using ggtree. Molecular Biology and Evolution, 35, 3041-3043. https://doi.org/10.1093/molbev/msy194
- Yu, G., Smith, D., Zhu, H., Guan, Y. & Lam, T.T.-Y. (2017) ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution, 8, 28-36. https://doi.org/10.1111/2041-210X.12628
- Zhu, W., Drewes, J. & Gegenfurtner, K.R. (2013) Animal detection in natural images: Effects of color and image database. PLOS ONE, 8, 1-14. https://doi.org/10.1371/journal.pone.0075816
- Ziegler, T., Rauhaus, A. & Vences, M. (2020) Welt-Zooerstzucht des Kryptischen Goldtejus (Tupinambis cryptus) im Terrarium des Kolner Zoos. Elaphe, 2020 (1), 22-31