2023
DOI: 10.3389/fenvs.2023.1119094
|View full text |Cite
|
Sign up to set email alerts
|

For quantitative criteria in alien species assessment

Abstract: Impact or risk assessments of alien species can use qualitative criteria (such as verbally described categories) or quantitative criteria (numerically defined threshold values of empirically measurable quantities). According to a common misconception, the use of qualitative criteria in invasion biology is justified by uncertainty in the available data. Yet qualitative criteria have the effect of increasing uncertainty. In contrast, assessments using quantitative criteria are testable, transparent, highly repea… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 25 publications
0
3
0
Order By: Relevance
“…The most prominent feature of quantitative assessment is that it provides a numerically defined threshold value of an empirically measurable quantity for each assessment index [ 23 ], which solves the problem of incommensurability among indices; clear evaluation criteria and bases can also eliminate (or reduce) the bias in evaluation results caused by subjective factors and increase the correctness and accuracy of the evaluation results. Our system divides the risk value of each tertiary index into six levels; that is, the risk is divided from low to high as follows: 0 (negligible risk), 1 (low risk), 2 (slight risk), 3 (medium risk), 4 (high risk), and 5 (extremely high risk), each tertiary index has the same assignment range.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The most prominent feature of quantitative assessment is that it provides a numerically defined threshold value of an empirically measurable quantity for each assessment index [ 23 ], which solves the problem of incommensurability among indices; clear evaluation criteria and bases can also eliminate (or reduce) the bias in evaluation results caused by subjective factors and increase the correctness and accuracy of the evaluation results. Our system divides the risk value of each tertiary index into six levels; that is, the risk is divided from low to high as follows: 0 (negligible risk), 1 (low risk), 2 (slight risk), 3 (medium risk), 4 (high risk), and 5 (extremely high risk), each tertiary index has the same assignment range.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, that assessment method has limitations, is ambiguous, is less accurate, and is less universal than quantitative analysis. In addition, quantitative analysis has the unique advantages of high testability, repeatability, comparability, and transparency [ 23 ].…”
Section: Introductionmentioning
confidence: 99%
“…These should be (i) indicative of the nature and magnitude of the impacts, (ii) simple to use, (iii) standardizable among contexts, while (iv) taking into account a degree of uncertainty. The development of quantitative approaches has been advocated frequently (Sandvik, 2023), and we argue that the way forward to significantly improve the indicators for these criteria (Marbuah et al, 2014) is the consideration of standardized data on economic losses, spending and impacts on human health (e.g. medication costs, work stoppage).…”
Section: Ris K and Impac T A Ss E Ss Ments With Mone Tary Cos Tsmentioning
confidence: 99%