Natural history footage provides new reef fish biodiversity information for a pristine but rarely visited archipelago.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
21 02 2020
Historique:
received: 03 09 2019
accepted: 05 02 2020
entrez: 22 2 2020
pubmed: 23 2 2020
medline: 31 12 2020
Statut: epublish

Résumé

There remain parts of our planet that are seldom visited by humans, let alone scientists. In such locations, crowd-sourced or citizen scientist data can be critical in describing biodiversity and detecting change. Rangitāhua, the Kermadec Islands, are 750 km from the nearest human-habitation. Although our knowledge of this near pristine location has increased with recent biodiversity expeditions, we still lack comprehensive understanding of the marine biodiversity surrounding the islands. In 2015, professional underwater videographers were commissioned to produce a nature documentary focused on Rangitāhua's reefs. We strategically surveyed the raw documentary video and examined how biodiversity estimates differed from traditional scientific surveys. We uncovered three new fish species records for Rangitāhua, extending the known distribution for each species, two of which are also new records for New Zealand waters. Comparison of documentary video footage with scientific survey methods showed that estimates of reef fish species richness from the documentary video were similar to stationary surveys, but lower than non-stationary surveys. Moreover, all survey methods, including documentary video, captured different fish assemblages, reflecting each method's particular bias. Overall, we provide a proof-of-concept for how collaborations between scientists and professional natural historians, such as videographers and photographers, can provide valuable biodiversity information.

Identifiants

pubmed: 32081990
doi: 10.1038/s41598-020-60136-w
pii: 10.1038/s41598-020-60136-w
pmc: PMC7035361
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3159

Références

Brown, J. & Lomolino, M.V. Biogeography (Sinauer Associates Inc., 1998).
Hortal, J. et al. Seven shortfalls that beset large-scale knowledge of biodiversity. Ann. Rev. Ecol. Evol. Sys. 46, 523–549 (2015).
doi: 10.1146/annurev-ecolsys-112414-054400
Mora, C., Tittensor, D. P., Adl, S., Simpson, A. G. & Worm, B. How many species are there on Earth and in the ocean? Plos Biol. 9, e1001127 (2011).
doi: 10.1371/journal.pbio.1001127
Appeltans, W. et al. The magnitude of global marine species diversity. Curr. Biol. 22, 2189–2202 (2012).
doi: 10.1016/j.cub.2012.09.036
Meyer, C., Kreft, H., Guralnick, R. & Jetz, W. Global priorities for an effective information basis of biodiversity distributions. Nature Comm. 6, 8221 (2015).
doi: 10.1038/ncomms9221
Pimm, S. L. et al. Emerging technologies to conserve biodiversity. Trends Ecol. Evol. 30, 685–696 (2015).
doi: 10.1016/j.tree.2015.08.008
Amano, T., Lamming, J. D. & Sutherland, W. J. Spatial gaps in global biodiversity information and the role of citizen science. Bioscience. 66, 393–400 (2016).
doi: 10.1093/biosci/biw022
Chandler, M. et al. Contribution of citizen science towards international biodiversity monitoring. Biol. Cons. 213, 280–294 (2017).
doi: 10.1016/j.biocon.2016.09.004
Matsuura, K. & Middleton, I. Discovery of a larva of the Aracanidae (Actinopterygii, Tetraodontiformes) from New Zealand. Ichthyol. Res. 64, 151–154 (2017).
doi: 10.1007/s10228-016-0533-8
Goula, M., Sesma, J. M. & Vivas, L. Photosharing websites may improve Hemiptera biodiversity knowledge and conservation. ZooKeys. 319, 93 (2013).
doi: 10.3897/zookeys.319.4342
Barve, V. Discovering and developing primary biodiversity data from social networking sites: A novel approach. Ecol. Info. 24, 194–199 (2014).
doi: 10.1016/j.ecoinf.2014.08.008
Duffy, C. A. J. & Ahyong, S. T. Annotated checklist of the marine flora and fauna of the Kermadec Islands Marine Reserve and northern Kermadec Ridge, New Zealand. Bull. Auckland Mus. 20, 19–124 (2015).
Francis, M. Checklist of the coastal fishes of Lord Howe, Norfolk and Kermadec Islands, southwest Pacific Ocean. figshare https://figshare.com/collections/Checklist_of_the_coastal_fishes_of_Lord_Howe_Norfolk_and_Kermadec_Islands_southwest_Pacific_Ocean/4428305/1 (2019).
Department of Conservation. Regional Coastal Plan: Kermadec and Subantarctic Islands. 146 pp. (Department of Conservation, (2017).
Francis, M. P. & Duffy, C. A. New records, checklist and biogeography of Kermadec Islands’ coastal fishes. Bull. Auckland Mus. 20, 481–495 (2015).
Trnski, T. & de Lange, P. J. Introduction to the Kermadec Biodiscovery Expedition 2011. Bull. Auckland Mus. 20, 1–18 (2015).
Clark, M. R. et al. Biodiversity of the Kermadec Islands and offshore waters of the Kermadec Ridge: report of a coastal, marine mammal and deep-sea survey (TAN1612). 95pp. (New Zealand Aquatic Environment and Biodiversity Report No. 179, 2017).
Keable, S. J. & Reid, A. L. Marine invertebrates collected during the Kermadec Biodiscovery Expedition 2011. Bull. Auckland Mus. 20, 263–310 (2015).
Allen, G. & Steene, R. Indo-Pacific coral reef field guide, 8
Randall, J.E. Reef and Shore Fishes of the South Pacific: New Caledonia to Tahiti and the Pitcairn Islands (University of Hawaii Press, 2005).
Francis, M. Coastal Fishes of New Zealand, 4
Roberts, C. D., Stewart, A. L. & Struthers, C. D. The Fishes of New Zealand (Te Papa Press, (2015).
VideoLan Organization. VLC media player (Version 3.0.6). Available from http://www.videolan.org/vlc/ (n.d.).
Eddy, T. D. Recent observations of reef fishes at the Kermadec Islands Marine Reserve, New Zealand. NZ J. Mar. Fresh. Res. 45, 153–159 (2011).
doi: 10.1080/00288330.2010.526125
Horton, T. et al. World Register of Marine Species. Available from http://www.marinespecies.org . https://doi.org/10.14284/170 (2019).
Roberts, C. D., Stewart, A. L., Struthers, C. D., Barker, J. J. & Kortet, S. Checklist of the Fishes of New Zealand: Online Version 1.0. Museum of New Zealand Te Papa Tongarewa, Wellington Version 1.0. Available at https://www.tepapa.govt.nz/sites/default/files/checklist_of_the_fishes_of_new_zealand_v_1_0_july_2017.pdf (2017).
Knudsen, S. W. & Clements, K. D. World-wide species distributions in the family Kyphosidae (Teleostei: Perciformes). Mol. Phylo. Evol. 101, 252–266 (2016).
doi: 10.1016/j.ympev.2016.04.037
R Core Team. R: A language and environment for statistical computing. Available at https://www.R-project.org/ (2019).
Anderson, M. J. A new method for non-parametric multivariate analysis of variance. Austral. Ecol. 26, 32–46 (2001).
Anderson, M. J., Gorley, R. N. & Clarke, K. R. PERMANOVA+ for PRIMER: Guide to Software and Statistical Methods (PRIMER-E Ltd., 2008)
Clarke, K. R. & Gorley, R. N. PRIMER v7: User manual/Tutorial (PRIMER-E Ltd., 2015).
Francis, M. P., Grace, R. V. & Paulin, C. D. Coastal fishes of the Kermadec Islands. NZ J. Mar. Fresh. Res. 21, 1–13 (1987).
doi: 10.1080/00288330.1987.9516194
Francis, M. P. Additions to the fish faunas of Lord Howe, Norfolk, and Kermadec Islands, southwest Pacific Ocean. Pacific Sci. 45, 204–220 (1991).
Francis, M. P. Checklist of the coastal fishes of Lord Howe, Norfolk, and Kermadec Islands, southwest Pacific Ocean. Pacific Sci. 47, 136–170 (1993).
Edgar, G. J., Stuart-Smith, R. D., Thomson, R. J. & Freeman, D. J. Consistent multi-level trophic effects of marine reserve protection across northern New Zealand. Plos One. 12, e0177216 (2017).
doi: 10.1371/journal.pone.0177216
OBIS. Ocean Biogeographic Information System. Intergovernmental Oceanographic Commission of UNESCO. Available at www.iobis.org (2019).
Caldwell, Z. R., Zgliczynski, B. J., Williams, G. J. & Sandin, S. A. Reef fish survey techniques: assessing the potential for standardizing methodologies. Plos One. 11, e0153066 (2016).
doi: 10.1371/journal.pone.0153066
Tessier, A. et al. Video transects as a complement to underwater visual census to study reserve effect on fish assemblages. Aquatic Biol. 18, 229–241 (2013).
doi: 10.3354/ab00506
Cheal, A. J. & Thompson, A. A. Comparing visual counts of coral reef fish: implications of transect width and species selection. Mar. Ecol. Prog. Ser. 158, 241–248 (1997).
doi: 10.3354/meps158241
Wright, S. et al. SCUBA divers as oceanographic samplers: The potential of dive computers to augment aquatic temperature monitoring. Sci. Rep. 6, 30164 (2016).
doi: 10.1038/srep30164
Villon S., et al Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised Machine Learning: Comparison Between Deep Learning and HOG+SVM Methods in Advanced Concepts for Intelligent Vision Systems (eds. Blanc-Talon J., Distante C., Philips W., Popescu D., & Scheunders, P.) (Springer, 2016).
Siddiqui, S. A. et al. Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data. ICES J. Mar. Sci. 75, 374–389 (2017).
doi: 10.1093/icesjms/fsx109

Auteurs

Libby Liggins (L)

School of Natural and Computational Sciences, Massey University, Auckland, New Zealand. L.Liggins@massey.ac.nz.
Auckland War Memorial Museum, Tāmaki Paenga Hira, Auckland, New Zealand. L.Liggins@massey.ac.nz.

Jenny Ann Sweatman (JA)

School of Natural and Computational Sciences, Massey University, Auckland, New Zealand.

Thomas Trnski (T)

Auckland War Memorial Museum, Tāmaki Paenga Hira, Auckland, New Zealand.

Clinton A J Duffy (CAJ)

Department of Conservation, Auckland, New Zealand.

Tyler D Eddy (TD)

Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute, Memorial University of Newfoundland, St. John's, Canada.
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.

J David Aguirre (JD)

School of Natural and Computational Sciences, Massey University, Auckland, New Zealand.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH