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A systematic review of context bias in invasion biology
- Source :
- PLoS ONE, Vol 12, Iss 8, p e0182502 (2017), PLoS ONE
- Publication Year :
- 2017
- Publisher :
- Public Library of Science (PLoS), 2017.
-
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.
- Subjects :
- 0106 biological sciences
Invasive Species
Social Sciences
lcsh:Medicine
Introduced species
01 natural sciences
Mathematical and Statistical Techniques
Psychology
lcsh:Science
Bias (Epidemiology)
Language
Multidisciplinary
Ecology
Research Assessment
Professions
Systematic review
Research Design
Data Interpretation, Statistical
Meta-analysis
Physical Sciences
Observational Studies
Statistics (Mathematics)
Research Article
Cognitive psychology
Systematic Reviews
Research and Analysis Methods
010603 evolutionary biology
Bias
Species Colonization
Animals
Statistical Methods
Self correction
Ecosystem
010604 marine biology & hydrobiology
Ecology and Environmental Sciences
lcsh:R
Cognitive Psychology
Biology and Life Sciences
Data interpretation
People and Places
Cognitive Science
Scientists
Population Groupings
Observational study
lcsh:Q
Introduced Species
Mathematics
Neuroscience
Meta-Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....3072f1691289061448c4e8499adae8ab