Published August 22, 2017
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Taxonomic bias in biodiversity data and societal preferences
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Julien Troudet, Philippe Grandcolas, Amandine Blin, RégineVignes-Lebbe, Frédéric Legendre (2017): Taxonomic bias in biodiversity data and societal preferences. Scientific Reports 7 (9132): 1-13, DOI: 10.1038/s41598-017-09084-6
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- urn:lsid:plazi.org:pub:7873FFFCFFCDFC0E2F61FFC7FFA7FFEB
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- Figure: 10.5281/zenodo.1139626 (DOI)
- Figure: 10.5281/zenodo.1139630 (DOI)
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References
- 1. Diaz, S., Fargione, J., Chapin, F.& Tilman, D. Biodiversity loss threatens human well-being. PLoS Biol. 4, e277 (2006).
- 2. Cardinale, B. et al. Biodiversity loss and its impact on humanity. Nature 486, 59-67 (2012).
- 3. Gascon, C.et al. The importance and benefits of species.Curr.Biol. 25, R431-R438 (2015).
- 4. Mace, G.M., Norris, K. & Fitter, A.H. Biodiversity and ecosystem services:a multilayered relationship.Trends Ecol. Evol.27, 19-26 (2012).
- 5. Dirzo, R. & Raven, P. Global state of biodiversity and loss.Annu.Rev. Env.Resour.28, 137-167 (2003).
- 6. Ceballos, G. et al. Accelerated modern human-induced species losses: entering the sixth mass extinction. Sci. Adv. 1, e1400253-e1400253 (2015).
- 7. Feeley,K., Stroud, J.& Perez, T. Most 'global' reviews of species' responses to climate change are not truly global. Divers. Distrib.23, 231-234 (2016).
- 8. Di Marco, M. et al. Changing trends and persisting biases in three decades of conservation science. Glob. Ecol. Conserv. 10, 32-42 (2017).
- 9. Bonnet, X., Shine, R.& Lourdais, O.Taxonomic chauvinism.Trends Ecol.Evol.17, 1-3 (2002).
- 10. Clark, J. A. & May, R. M. How biased are we?:Even now, conservation research is still lopsided.Conserv.Practice 3(3), 28-29 (2002).
- 11. Leather, S. R. Taxonomic chauvinism threatens the future of entomology.Biologist 56, 10-13 (2009).
- 12. Ford, A., Cooke, S., Goheen, J.& Young, T.Conserving megafauna or sacrificing biodiversity? BioScience biw163 (2017).
- 13. McKinney, M. High rates of extinction and threat in poorly studied taxa.Conserv.Biol. 13, 1273-1281 (1999).
- 14. Seddon, P., Soorae, P.& Launay, F.Taxonomic bias in reintroduction projects.Anim. Conserv.8, 51-58 (2005).
- 15. Lawler, J., White, D., Sifneos, J. & Master, L. Rare species and the use of indicator groups for conservation planning. Conserv.Biol. 17, 875-882 (2003).
- 16. Mouillot, D. et al. Rare Species Support Vulnerable Functions in High-Diversity Ecosystems.PLoS Biol 11, e1001569 (2013).
- 17. Wilson, E.O. A global biodiversity map.Science 289, 2279-2279 (2000).
- 18. May, R. How many species are there on Earth? Science 241, 1441-1449 (1988).
- 19. Gaston, K. & May, R. Taxonomy of taxonomists.Nature 356, 281-282 (1992).
- 20. Pawar, S.Taxonomic chauvinism and the methodologically challenged. BioScience 53, 861 (2003).
- 21. Stahlschmidt, Z. Taxonomic chauvinism revisited:insight from parental care research.PLoS ONE 6, e24192 (2011).
- 22. Wilson, J., Proches, S., Braschler, B., Dixon, E. & Richardson, D. The (bio)diversity of science reflects the interests of society. Front. Ecol. Environ. 5, 409-414 (2007).
- 23. Martin-Lopez, B., Montes, C., Ramirez, L. & Benayas, J. What drives policy decision-making related to species conservation? Biol. Conserv. 142, 1370-1380 (2009).
- 24. Chandler, M. et al. Contribution of citizen science towards international biodiversity monitoring.Biol. Conserv. in Press (2016).
- 25. Costello, M., May, R. & Stork, N. Can we name Earth's species before they go extinct? Science 339, 413-416 (2013).
- 26. Michener, W. & Jones, M. Ecoinformatics:supporting ecology as a data-intensive science.Trends Ecol.Evol.27, 85-93 (2012).
- 27. Duke, C. S.& Porter, J. H.The ethics of data sharing and reuse in biology.BioScience 63, 483-489 (2013).
- 28. Peterson, A., Soberon,J. & Krishtalka,L. A global perspective on decadal challenges and priorities in biodiversity informatics.BMC Ecol. 15, 15 (2015).
- 29. Boyd, D. & Crawford, K. Critical questions for big data.Inform.Commun.Soc.15, 662-679 (2012).
- 30. Troia, M.& McManamay, R.Filling in the GAPS:evaluating completeness and coverage of open-access biodiversity databases in the United States.Ecol.Evol.6, 4654-4669 (2016).
- 31. Faith, D. et al. Bridging the biodiversity data gaps:Recommendations to meet users' data needs.Biodivers. Inform. 8, 41-58 (2013).
- 32. Yesson, C. et al. How global is the global biodiversity information facility? PLoS ONE 2, e1124 (2007).
- 33. Gaiji, S. et al. Content assessment of the primary biodiversity data published through GBIF network: Status, challenges and potentials.Biodivers.Inform. 8, 94-172 (2013).
- 34. Garcia-Rosello,E. et al. Can we derive macroecological patterns from primary Global Biodiversity Information Facility data? Global Ecol. Biogeogr. 24, 335-347 (2014).
- 35. Maldonado, C.et al. Estimating species diversity and distribution in the era of big data: to what extent can we trust public databases? Global Ecol. Biogeogr.24, 973-984 (2015).
- 36. Sikes, D., Copas, K., Hirsch, T., Longino, J. & Schigel, D. On natural history collections, digitized and not: a response to Ferro and Flick.ZooKeys 618, 145-158 (2016).
- 37. McKenzie, A.& Robertson, P.Which species are we researching and why? A case study of the ecology of british breeding birds.PLoS ONE 10, e0131004 (2015).
- 38. Donaldson, M. R. et al. Taxonomic bias and international biodiversity conservation research.Facets 1, 105-113 (2016).
- 39. Perez-Ponce de Leon, G. & Poulin, R. Taxonomic distribution of cryptic diversity among metazoans: not so homogeneous after all. Biol. Letters 12, 20160371 (2016).
- 40. Driscoll, D. et al. The trajectory of dispersal research in conservation biology.Systematic Review.PLoS ONE 9, e95053 (2014).
- 41. Hortal, J., Lobo, J. & Jimenez-Valverde, A. Limitations of biodiversity databases: case study on seed-plant diversity in Tenerife, Canary Islands. Conserv.Biol. 21, 853-863 (2007).
- 42. Yang, W., Ma, K. & Kreft, H. Geographical sampling bias in a large distributional database and its effects on species richnessenvironment models. J. Biogeogr. 40, 1415-1426 (2013).
- 43. Ressurreicao, A. et al. Different cultures, different values: the role of cultural variation in public's WTP for marine species conservation.Biol. Conserv.145, 148-159 (2012).
- 44. Stein, B. A., Master,L. L.& Morse, L.E. Taxonomic bias and vulnerable species.Science 297, 1807 (2002).
- 45. Sullivan, B. et al. eBird:A citizen-based bird observation network in the biological sciences.Biol. Conserv.142, 2282-2292 (2009).
- 46. Escribano, N., Arino, A. & Galicia, D.Biodiversity data obsolescence and land uses changes.PeerJ 4, e2743 (2016).
- 47. Shine, R. & Bonnet, X. Snakes:a new 'model organism'in ecological research? Trends Ecol.Evol.15(6), 221-222 (2000).
- 48. Turpie, J. The existence value of biodiversity in South Africa:how interest, experience, knowledge, income and perceived level of threat influence local willingness to pay. Ecol.Econ. 46, 199-216 (2003).
- 49. Cotterill, F., Al-Rasheid, K. & Foissner, W.Conservation of protists:is it needed at all? Biodivers.Conserv. 17, 427-443 (2007).
- 50. Hochachka, W. et al. Data-intensive science applied to broad-scale citizen science.Trends Ecol. Evol.27, 130-137 (2012).
- 51. Miller-Rushing, A., Primack, R. & Bonney, R. The history of public participation in ecological research. Front. Ecol.Environ. 10, 285-290 (2012).
- 52. Eiben, C. et al. Increased Diels-Alderase activity through backbone remodeling guided by Foldit players. Nat. Biotechnol. 30, 190-192 (2012).
- 53. Lieberoth, A. Getting humans to do quantum optimization - user acquisition, engagement and early results from the citizen cyberscience game Quantum Moves. Human Comput. 1(2), 219-244 (2014).
- 54. Marx, V.Neuroscience waves to the crowd.Nat.Methods 10, 1069-1074 (2013).
- 55. Zapponi, L. et al. Citizen science data as an efficient tool for mapping protected saproxylic beetles. Biol.Conserv. in Press (2016).
- 56. Gardiner, M. et al. Lessons from lady beetles: accuracy of monitoring data from US and UK citizen-science programs. Front.Ecol. Environ. 10, 471-476 (2012).
- 57. Newman, G. et al. The future of citizen science: emerging technologies and shifting paradigms. Front. Ecol. Environ. 10, 298-304 (2012).
- 58. Kamp, J., Oppel, S., Heldbjerg, H., Nyegaard, T. & Donald, P. Unstructured citizen science data fail to detect long-term population declines of common birds in Denmark. Divers. Distrib.22, 1024-1035 (2016).
- 59. Cardoso, P., Erwin, T., Borges, P. & New, T. The seven impediments in invertebrate conservation and how to overcome them.Biol. Conserv. 144, 2647-2655 (2011).
- 60. Barnosky, A.et al. Has the Earth's sixth mass extinction already arrived? Nature 471, 51-57 (2011).
- 61. Feeley, K. & Silman, M. The data void in modeling current and future distributions of tropical species. Global Change Biol. 17, 626-630 (2010).
- 62. McCullagh, P.& Nelder,J. A.Generalized Linear Models, Second edn. Chapman and Hall, London (1989).
- 63. Zuur, A.F., Leno, E.N., Walker, N., Saveliev, A.A., Smith, G.M. Mixed Effects Models and Extensions in Ecology with R. Springer (2009).
- 64. Husson, F., Le, S., Pages, J.Analyse de Donnees avec R. Rennes:Presses Universitaires de Rennes (2009).
- 65. Wickham, H. Ggplot2:Elegant Graphics for Data Analysis (Use R). Springer, 2009.
- 66. Auguie, B. gridExtra: Miscellaneous functions for "grid" graphics. Cran.r-project.org. at http://CRAN.R-project.org/package=gridExtra, package version 2.2.1 (2017).
- 67. Venables, W.N.& Ripley, B. D.Modern Applied Statistics with S-Plus. (Springer, New York, 1994).
- 68. Wickham, H. The split-apply-combine strategy for data analysis.J. Stat.Soft. 40 (2011).
- 69. Wickham, H.S: Scale functions for visualization.Cran.r-project.org. at http://CRAN.R-project.org/package=scales, package version 0.4.1 (2015).