Treating the nestedness temperature calculator as a "black box" can lead to false conclusions

Publikation: Beiträge in ZeitschriftenÜbersichtsarbeitenForschung

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Treating the nestedness temperature calculator as a "black box" can lead to false conclusions. / Fischer, Jörn; Lindenmayer, David B.
in: Oikos, Jahrgang 99, Nr. 1, 01.10.2002, S. 193-199.

Publikation: Beiträge in ZeitschriftenÜbersichtsarbeitenForschung

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Fischer J, Lindenmayer DB. Treating the nestedness temperature calculator as a "black box" can lead to false conclusions. Oikos. 2002 Okt 1;99(1):193-199. doi: 10.1034/j.1600-0706.2002.990121.x

Bibtex

@article{229bc397c17f427d9159a044b1ee3147,
title = "Treating the nestedness temperature calculator as a {"}black box{"} can lead to false conclusions",
abstract = "We used the nestedness temperature calculator to examine patterns of nestedness in two datasets on birds in fragmented landscapes in southeastern Australia. During our initial analyses, we found that the nestedness calculator was susceptible to detect nestedness as an artifact of passive sampling. To examine this problem in more detail, we created random matrices that simulated a situation where nestedness did not occur, and we re-analysed two previously published datasets. Our results showed that the nestedness calculator may (1) overestimate the degree of nestedness and its statistical significance, and (2) consider some datasets which include both ubiquitous and rare species to be significantly nested although they are not. Our results highlight the danger of blindly relying on the p-values generated by analytical packages such as the nestedness calculator. We suggest that users of analytical packages (often field ecologists) will need to be more critical in future and familiarise themselves in more detail with the packages they use. In addition, the developers of analytical packages (often theoretical ecologists) will need to communicate more clearly the limitations and assumptions underlying analytical tools such as the nestedness calculator.",
keywords = "Biology, Nestedness",
author = "J{\"o}rn Fischer and Lindenmayer, {David B.}",
note = "Times Cited: 91",
year = "2002",
month = oct,
day = "1",
doi = "10.1034/j.1600-0706.2002.990121.x",
language = "English",
volume = "99",
pages = "193--199",
journal = "Oikos",
issn = "1600-0706",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Treating the nestedness temperature calculator as a "black box" can lead to false conclusions

AU - Fischer, Jörn

AU - Lindenmayer, David B.

N1 - Times Cited: 91

PY - 2002/10/1

Y1 - 2002/10/1

N2 - We used the nestedness temperature calculator to examine patterns of nestedness in two datasets on birds in fragmented landscapes in southeastern Australia. During our initial analyses, we found that the nestedness calculator was susceptible to detect nestedness as an artifact of passive sampling. To examine this problem in more detail, we created random matrices that simulated a situation where nestedness did not occur, and we re-analysed two previously published datasets. Our results showed that the nestedness calculator may (1) overestimate the degree of nestedness and its statistical significance, and (2) consider some datasets which include both ubiquitous and rare species to be significantly nested although they are not. Our results highlight the danger of blindly relying on the p-values generated by analytical packages such as the nestedness calculator. We suggest that users of analytical packages (often field ecologists) will need to be more critical in future and familiarise themselves in more detail with the packages they use. In addition, the developers of analytical packages (often theoretical ecologists) will need to communicate more clearly the limitations and assumptions underlying analytical tools such as the nestedness calculator.

AB - We used the nestedness temperature calculator to examine patterns of nestedness in two datasets on birds in fragmented landscapes in southeastern Australia. During our initial analyses, we found that the nestedness calculator was susceptible to detect nestedness as an artifact of passive sampling. To examine this problem in more detail, we created random matrices that simulated a situation where nestedness did not occur, and we re-analysed two previously published datasets. Our results showed that the nestedness calculator may (1) overestimate the degree of nestedness and its statistical significance, and (2) consider some datasets which include both ubiquitous and rare species to be significantly nested although they are not. Our results highlight the danger of blindly relying on the p-values generated by analytical packages such as the nestedness calculator. We suggest that users of analytical packages (often field ecologists) will need to be more critical in future and familiarise themselves in more detail with the packages they use. In addition, the developers of analytical packages (often theoretical ecologists) will need to communicate more clearly the limitations and assumptions underlying analytical tools such as the nestedness calculator.

KW - Biology

KW - Nestedness

UR - http://www.scopus.com/inward/record.url?scp=0036774908&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/1aa2b745-799d-3362-a5aa-24d8efec9df2/

U2 - 10.1034/j.1600-0706.2002.990121.x

DO - 10.1034/j.1600-0706.2002.990121.x

M3 - Scientific review articles

VL - 99

SP - 193

EP - 199

JO - Oikos

JF - Oikos

SN - 1600-0706

IS - 1

ER -

DOI