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Interspecific differences in environmental response blur trait dynamics in classic statistical analyses

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Interspecific differences in environmental response blur trait dynamics in classic statistical analyses. / McLean, M.; Mouillot, D.; Villéger, S. et al.
In: Marine Biology, Vol. 166, No. 12, 152, 31.12.2019.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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McLean M, Mouillot D, Villéger S, Graham NAJ, Auber A. Interspecific differences in environmental response blur trait dynamics in classic statistical analyses. Marine Biology. 2019 Dec 31;166(12):152. Epub 2019 Nov 8. doi: 10.1007/s00227-019-3602-5

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McLean, M. ; Mouillot, D. ; Villéger, S. et al. / Interspecific differences in environmental response blur trait dynamics in classic statistical analyses. In: Marine Biology. 2019 ; Vol. 166, No. 12.

Bibtex

@article{f861193b85c84196b9f02bf8f9397f4e,
title = "Interspecific differences in environmental response blur trait dynamics in classic statistical analyses",
abstract = "Trait-based ecology strives to better understand how species, through their bio-ecological traits, respond to environmental changes, and influence ecosystem functioning. Identifying which traits are most responsive to environmental changes can provide insight for understanding community structuring and developing sustainable management practices. However, misinterpretations are possible, because standard statistical methods (e.g., principal component analysis and linear regression) for identifying and ranking the responses of different traits to environmental changes ignore interspecific differences. Here, using both artificial data and real-world examples from marine fish communities, we show how considering species-specific responses can lead to drastically different results than standard community-level methods. By demonstrating the potential impacts of interspecific differences on trait dynamics, we illuminate a major, yet rarely discussed issue, highlighting how analytical misinterpretations can confound our basic understanding of trait responses, which could have important consequences for biodiversity conservation.",
author = "M. McLean and D. Mouillot and S. Vill{\'e}ger and N.A.J. Graham and A. Auber",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s00227-019-3602-5",
year = "2019",
month = dec,
day = "31",
doi = "10.1007/s00227-019-3602-5",
language = "English",
volume = "166",
journal = "Marine Biology",
issn = "0025-3162",
publisher = "Springer Verlag",
number = "12",

}

RIS

TY - JOUR

T1 - Interspecific differences in environmental response blur trait dynamics in classic statistical analyses

AU - McLean, M.

AU - Mouillot, D.

AU - Villéger, S.

AU - Graham, N.A.J.

AU - Auber, A.

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s00227-019-3602-5

PY - 2019/12/31

Y1 - 2019/12/31

N2 - Trait-based ecology strives to better understand how species, through their bio-ecological traits, respond to environmental changes, and influence ecosystem functioning. Identifying which traits are most responsive to environmental changes can provide insight for understanding community structuring and developing sustainable management practices. However, misinterpretations are possible, because standard statistical methods (e.g., principal component analysis and linear regression) for identifying and ranking the responses of different traits to environmental changes ignore interspecific differences. Here, using both artificial data and real-world examples from marine fish communities, we show how considering species-specific responses can lead to drastically different results than standard community-level methods. By demonstrating the potential impacts of interspecific differences on trait dynamics, we illuminate a major, yet rarely discussed issue, highlighting how analytical misinterpretations can confound our basic understanding of trait responses, which could have important consequences for biodiversity conservation.

AB - Trait-based ecology strives to better understand how species, through their bio-ecological traits, respond to environmental changes, and influence ecosystem functioning. Identifying which traits are most responsive to environmental changes can provide insight for understanding community structuring and developing sustainable management practices. However, misinterpretations are possible, because standard statistical methods (e.g., principal component analysis and linear regression) for identifying and ranking the responses of different traits to environmental changes ignore interspecific differences. Here, using both artificial data and real-world examples from marine fish communities, we show how considering species-specific responses can lead to drastically different results than standard community-level methods. By demonstrating the potential impacts of interspecific differences on trait dynamics, we illuminate a major, yet rarely discussed issue, highlighting how analytical misinterpretations can confound our basic understanding of trait responses, which could have important consequences for biodiversity conservation.

U2 - 10.1007/s00227-019-3602-5

DO - 10.1007/s00227-019-3602-5

M3 - Journal article

VL - 166

JO - Marine Biology

JF - Marine Biology

SN - 0025-3162

IS - 12

M1 - 152

ER -