Do we need to mine social media data to detect exotic vertebrate-pest introductions?
Peter Caley
A * and Phillip Cassey B
A CSIRO Data61, GPO Box 1700, Canberra, ACT 2601, Australia.
B Invasion Science and Wildlife Ecology Lab, University of Adelaide, Adelaide, SA 5005, Australia.
Wildlife Research 50(11) 869-875 https://doi.org/10.1071/WR22116
Submitted: 29 June 2022 Accepted: 2 December 2022 Published: 4 January 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Invasive alien species are responsible for considerable biodiversity loss and environmental damage. Timely detection of new incursions is critical in preventing novel populations establishing. Citizen reports currently account for the majority of alien species detections, arising from the massive observation effort that the physical and digital ‘eyes and ears’ of citizens provide, in combination with crowd-sourced species identification. Because the reporting of alien species sightings is generally not mandatory, there is interest in whether mining social media data via image recognition and/or natural language processing can improve on existing passive citizen surveillance in a cost-effective manner. Here, we illustrate, using examples from Australia, how citizen surveillance for most vertebrate groups appears to currently be effective using existing voluntary reporting mechanisms. Where citizen surveillance is currently ineffective, for reasons of inadequate sampling, data mining of social media feeds will be similarly affected. We argue that mining citizens’ social media data for evidence of invasive alien species needs to demonstrate not only that it will be an improvement on the business as usual case, but also that any gains achieved cannot be achieved by alternative approaches. We highlight the potential role of education in increasing the surveillance effectiveness of citizens for detecting and reporting sightings of alien species. Should data mining of social media platforms be pursued, we note that the scale of the task in terms of the potential number of exotic vertebrate species to be classified is very large. The expected number of false positive classifications would present a considerable workload to process, possibly undermining the efficiency rationale for the use of data mining. Hence, prioritisation is needed, and we illustrate how the number of species to be classified can be reduced considerably. If we are to deploy data mining and analysis of social media data to help with detecting introductions of invasive alien species, we need to conduct it in a manner where it adds value and is trusted.
Keywords: alien, artificial intelligence, citizen science, crowd sourcing, data mining, invasive, pest, surveillance.
References
Boles, WE, Tsang, LR, and Sladek, J (2016). First specimens of free-flying Canada Geese Branta canadensis from Australia. Australian Field Ornithology 33, 237–239.| First specimens of free-flying Canada Geese Branta canadensis from Australia.Crossref | GoogleScholarGoogle Scholar |
Burgin S (2007) Status report on Trachemys scripta elegans: pet terrapin or Australia’s pest turtle? In ‘Pest or Guest: the zoology of overabundance’. (Eds D Lunney, P Eby, P Hutchings, S Burgin) pp. 1–7. (Royal Zoological Society of New South Wales: Sydney, NSW, Australia)
Caley, P, and Barry, SC (2022). The effectiveness of citizen surveillance for detecting exotic vertebrates. Frontiers in Ecology and Evolution 10, 10121.
| The effectiveness of citizen surveillance for detecting exotic vertebrates.Crossref | GoogleScholarGoogle Scholar |
Caley, P, Welvaert, M, and Barry, SC (2020). Crowd surveillance: estimating citizen science reporting probabilities for insects of biosecurity concern. Journal of Pest Science 93, 543–550.
| Crowd surveillance: estimating citizen science reporting probabilities for insects of biosecurity concern.Crossref | GoogleScholarGoogle Scholar |
Cassey, P, and Hogg, CJ (2015). Escaping captivity: the biological invasion risk from vertebrate species in zoos. Biological Conservation 181, 18–26.
| Escaping captivity: the biological invasion risk from vertebrate species in zoos.Crossref | GoogleScholarGoogle Scholar |
Cassey, P, Delean, S, Lockwood, JL, Sadowski, JS, and Blackburn, TM (2018). Dissecting the null model for biological invasions: a meta-analysis of the propagule pressure effect. PLoS Biology 16, e2005987.
| Dissecting the null model for biological invasions: a meta-analysis of the propagule pressure effect.Crossref | GoogleScholarGoogle Scholar |
Dorcas, ME, Willson, JD, Reed, RN, Snow, RW, Rochford, MR, Miller, MA, Meshaka, WE, Andreadis, PT, Mazzotti, FJ, Romagosa, CM, and Hart, KM (2012). Severe mammal declines coincide with proliferation of invasive Burmese pythons in Everglades National Park. Proceedings of the National Academy of Sciences of the United States of America 109, 2418–2422.
| Severe mammal declines coincide with proliferation of invasive Burmese pythons in Everglades National Park.Crossref | GoogleScholarGoogle Scholar |
Dorward, LJ, Mittermeier, JC, Sandbrook, C, and Spooner, F (2017). Pokémon go: benefits, costs, and lessons for the conservation movement. Conservation Letters 10, 160–165.
| Pokémon go: benefits, costs, and lessons for the conservation movement.Crossref | GoogleScholarGoogle Scholar |
Easteal, S (1981). The history of introductions of Bufo marinus (Amphibia: Anura); a natural experiment in evolution. Biological Journal of the Linnean Society 16, 93–113.
| The history of introductions of Bufo marinus (Amphibia: Anura); a natural experiment in evolution.Crossref | GoogleScholarGoogle Scholar |
García-Díaz, P, Kerezsy, A, Unmack, PJ, Lintermans, M, Beatty, SJ, Butler, GL, Freeman, R, Hammer, MP, Hardie, S, Kennard, MJ, Morgan, DL, Pusey, BJ, Raadik, TA, Thiem, JD, Whiterod, NS, Cassey, P, and Duncan, RP (2018). Transport pathways shape the biogeography of alien freshwater fishes in Australia. Diversity and Distributions 24, 1405–1415.
| Transport pathways shape the biogeography of alien freshwater fishes in Australia.Crossref | GoogleScholarGoogle Scholar |
Hammer, MP, Skarlatos Simoes, MN, Needham, EW, Wilson, DN, Barton, MA, and Lonza, D (2019). Establishment of Siamese fighting fish on the Adelaide River floodplain: the first serious invasive fish in the Northern Territory, Australia. Biological Invasions 21, 2269–2279.
| Establishment of Siamese fighting fish on the Adelaide River floodplain: the first serious invasive fish in the Northern Territory, Australia.Crossref | GoogleScholarGoogle Scholar |
Hayes, KR, and Barry, SC (2008). Are there any consistent predictors of invasion success? Biological Invasions 10, 483–506.
| Are there any consistent predictors of invasion success?Crossref | GoogleScholarGoogle Scholar |
Henderson, W, Bomford, M, and Cassey, P (2011). Managing the risk of exotic vertebrate incursions in Australia. Wildlife Research 38, 501–508.
| Managing the risk of exotic vertebrate incursions in Australia.Crossref | GoogleScholarGoogle Scholar |
Hine, DW, McLeod, LJ, and Please, PM (2020). Understanding why peri-urban residents do not report wild dog impacts: an audience segmentation approach. Human Dimensions of Wildlife 25, 355–371.
| Understanding why peri-urban residents do not report wild dog impacts: an audience segmentation approach.Crossref | GoogleScholarGoogle Scholar |
Lamba, A, Cassey, P, Segaran, RR, and Koh, LP (2019). Deep learning for environmental conservation. Current Biology 29, R977–R982.
| Deep learning for environmental conservation.Crossref | GoogleScholarGoogle Scholar |
Lockwood, JL, Welbourne, DJ, Romagosa, CM, Cassey, P, Mandrak, NE, Strecker, A, Leung, B, Stringham, OC, Udell, B, Episcopio-Sturgeon, DJ, Tlusty, MF, Sinclair, J, Springborn, MR, Pienaar, EF, Rhyne, AL, and Keller, R (2019). When pets become pests: the role of the exotic pet trade in producing invasive vertebrate animals. Frontiers in Ecology and the Environment 17, 323–330.
| When pets become pests: the role of the exotic pet trade in producing invasive vertebrate animals.Crossref | GoogleScholarGoogle Scholar |
McFadden, MS, Topham, P, and Harlow, PS (2017). A ticking time bomb: is the illegal pet trade a pathway for the establishment of corn snake (Elaphe guttata) populations in Australia? Australian Zoologist 38, 499–504.
| A ticking time bomb: is the illegal pet trade a pathway for the establishment of corn snake (Elaphe guttata) populations in Australia?Crossref | GoogleScholarGoogle Scholar |
Mesaglio, T, and Callaghan, CT (2021). An overview of the history, current contributions and future outlook of iNaturalist in Australia. Wildlife Research 48, 289–303.
| An overview of the history, current contributions and future outlook of iNaturalist in Australia.Crossref | GoogleScholarGoogle Scholar |
Mo, M (2022). The case of a pygmy hippopotamus ‘Choeropsis liberiensis’ in the Northern Territory, Australia: extrapolating from a Colombian experience. The Victorian Naturalist 139, 103–111.
Mo, M, and Mo, E (2021). An amelanistic Red Cornsnake (Pantherophis guttatus) as a possible identity for an unusual road-killed snake discovered in Sydney, Australia. Reptiles & Amphibians 28, 480–482.
| An amelanistic Red Cornsnake (Pantherophis guttatus) as a possible identity for an unusual road-killed snake discovered in Sydney, Australia.Crossref | GoogleScholarGoogle Scholar |
Norouzzadeh, MS, Nguyen, A, Kosmala, M, Swanson, A, Palmer, MS, Packer, C, and Clune, J (2018). Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proceedings of the National Academy of Sciences of the United States of America 115, E5716–E5725.
| Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.Crossref | GoogleScholarGoogle Scholar |
Rolls EC (1984) ‘They all ran wild: the animals and plants that plague Australia.’ (Angus and Robertson: Sydney, NSW, Australia)
Stringham, OC, García-Díaz, P, Toomes, A, Mitchell, L, Ross, JV, and Cassey, P (2021a). Live reptile smuggling is predicted by trends in the legal exotic pet trade. Conservation Letters 14, e12833.
| Live reptile smuggling is predicted by trends in the legal exotic pet trade.Crossref | GoogleScholarGoogle Scholar |
Stringham, OC, Moncayo, S, Hill, KGW, Toomes, A, Mitchell, L, Ross, JV, and Cassey, P (2021b). Text classification to streamline online wildlife trade analyses. PLoS ONE 16, e0254007.
| Text classification to streamline online wildlife trade analyses.Crossref | GoogleScholarGoogle Scholar |
Swanson, A, Kosmala, M, Lintott, C, Simpson, R, Smith, A, and Packer, C (2015). Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific Data 2, 150026.
| Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna.Crossref | GoogleScholarGoogle Scholar |
Tingley, R, Weeks, AR, Smart, AS, van Rooyen, AR, Woolnough, AP, and McCarthy, MA (2015). European newts establish in Australia, marking the arrival of a new amphibian order. Biological Invasions 17, 31–37.
| European newts establish in Australia, marking the arrival of a new amphibian order.Crossref | GoogleScholarGoogle Scholar |
Tingley, R, García-Díaz, P, Arantes, CRR, and Cassey, P (2018). Integrating transport pressure data and species distribution models to estimate invasion risk for alien stowaways. Ecography 41, 635–646.
| Integrating transport pressure data and species distribution models to estimate invasion risk for alien stowaways.Crossref | GoogleScholarGoogle Scholar |
Toomes, A, Stringham, OC, Mitchell, L, Ross, JV, and Cassey, P (2020a). Australia’s wish list of exotic pets: biosecurity and conservation implications of desired alien and illegal pet species. NeoBiota 60, 43–59.
| Australia’s wish list of exotic pets: biosecurity and conservation implications of desired alien and illegal pet species.Crossref | GoogleScholarGoogle Scholar |
Toomes, A, García-Díaz, P, Wittmann, TA, Virtue, J, and Cassey, P (2020b). New aliens in Australia: 18 years of vertebrate interceptions. Wildlife Research 47, 55–67.
| New aliens in Australia: 18 years of vertebrate interceptions.Crossref | GoogleScholarGoogle Scholar |
Vall-llosera, M, and Cassey, P (2017). Leaky doors: private captivity as a prominent source of bird introductions in Australia. PLoS ONE 12, e0172851.
| Leaky doors: private captivity as a prominent source of bird introductions in Australia.Crossref | GoogleScholarGoogle Scholar |
Van Horn G, Mac Aodha O, Song Y, Cui Y, Sun C, Shepard A, Adam H, Perona P, Belongie S (2018) The iNaturalist species classification and detection dataset. In ‘Proceedings of 2018 IEEE/CVF conference on computer vision and pattern recognition’. pp. 8769–8778. (Computer Vision Foundation: Salt Lake City, UT, USA)
Welvaert, M, and Caley, P (2016). Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data framework. SpringerPlus 5, 1890.
| Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data framework.Crossref | GoogleScholarGoogle Scholar |
Welvaert, M, Al-Ghattas, O, Cameron, M, and Caley, P (2017). Limits of use of social media for monitoring biosecurity events. PLoS ONE 12, e0172457.
| Limits of use of social media for monitoring biosecurity events.Crossref | GoogleScholarGoogle Scholar |
