Accounting for imperfect detection in ecology: a quantitative review.

作者: Kenneth F. Kellner , Robert K. Swihart

DOI: 10.1371/JOURNAL.PONE.0111436

关键词:

摘要: Detection in studies of species abundance and distribution is often imperfect. Assuming perfect detection introduces bias into estimation that can weaken inference upon which understanding policy are based. Despite availability numerous methods designed to address this assumption, many refereed papers ecology fail account for non-detection error. We conducted a quantitative literature review 537 ecological articles measure the degree different taxa, at various scales, over time have accounted imperfect detection. Overall, just 23% The probability an article incorporated increased with varied among taxa studied; vertebrates were more likely incorporate Among reported probability, 70% contained per-survey estimates less than 0.5. For constancy was tested, 86% significant variation. hope our findings prompt ecologists consider carefully process when designing analyzing results, especially sub-disciplines where incorporation study design analysis so far has been lacking.

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