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A systematic review of context bias in invasion biology

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  • Robert J Warren II
  • Joshua R King
  • Charlene Tarsa
  • Brian Haas
  • Jeremy Henderson

Abstract

The language that scientists use to frame biological invasions may reveal inherent bias—including how data are interpreted. A frequent critique of invasion biology is the use of value-laden language that may indicate context bias. Here we use a systematic study of language and interpretation in papers drawn from invasion biology to evaluate whether there is a link between the framing of papers and the interpretation of results. We also examine any trends in context bias in biological invasion research. We examined 651 peer-reviewed invasive species competition studies and implemented a rigorous systematic review to examine bias in the presentation and interpretation of native and invasive competition in invasion biology. We predicted that bias in the presentation of invasive species is increasing, as suggested by several authors, and that bias against invasive species would result in misinterpreting their competitive dominance in correlational observational studies compared to causative experimental studies. We indeed found evidence of bias in the presentation and interpretation of invasive species research; authors often introduced research with invasive species in a negative context and study results were interpreted against invasive species more in correlational studies. However, we also found a distinct decrease in those biases since the mid-2000s. Given that there have been several waves of criticism from scientists both inside and outside invasion biology, our evidence suggests that the subdiscipline has somewhat self-corrected apparent biases.

Suggested Citation

  • Robert J Warren II & Joshua R King & Charlene Tarsa & Brian Haas & Jeremy Henderson, 2017. "A systematic review of context bias in invasion biology," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-12, August.
  • Handle: RePEc:plo:pone00:0182502
    DOI: 10.1371/journal.pone.0182502
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    References listed on IDEAS

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    1. Robert J. Warren & Mark A. Bradford, 2013. "Science petitions are a facade of numbers," Nature, Nature, vol. 493(7433), pages 480-480, January.
    2. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
    3. Ellen van Wilgenburg & Mark A Elgar, 2013. "Confirmation Bias in Studies of Nestmate Recognition: A Cautionary Note for Research into the Behaviour of Animals," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-8, January.
    4. Luke Holman & Megan L Head & Robert Lanfear & Michael D Jennions, 2015. "Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording," PLOS Biology, Public Library of Science, vol. 13(7), pages 1-12, July.
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    Cited by:

    1. Frank Jensen & Niels Vestergaard & Hans Frost, 1999. "Asymmetrisk information og regulering af forurening," Working Papers 1/99, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    2. Melina Kourantidou & Brooks A. Kaiser, 2019. "Research agendas for profitable invasive species," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(2), pages 209-230, April.
    3. Sagoff, Mark, 2018. "What Is Invasion Biology?," Ecological Economics, Elsevier, vol. 154(C), pages 22-30.
    4. Magda Argueta-Guzmán & Mari West & Marilia P. Gaiarsa & Christopher W. Allen & Jacob M. Cecala & Lauren Gedlinske & Quinn S. McFrederick & Amy C. Murillo & Madison Sankovitz & Erin E. Wilson Rankin, 2023. "Words matter: how ecologists discuss managed and non-managed bees and birds," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1745-1764, March.

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