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Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods

The ecological implications of body size extend from the biology of individual organisms to ecosystem‐level processes. Measuring body mass for high numbers of invertebrates can be logistically challenging, making length–mass regressions useful for predicting body mass with minimal effort. However, s...

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Autores principales: Sohlström, Esra H., Marian, Lucas, Barnes, Andrew D., Haneda, Noor F., Scheu, Stefan, Rall, Björn C., Brose, Ulrich, Jochum, Malte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308897/
https://www.ncbi.nlm.nih.gov/pubmed/30619578
http://dx.doi.org/10.1002/ece3.4702
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author Sohlström, Esra H.
Marian, Lucas
Barnes, Andrew D.
Haneda, Noor F.
Scheu, Stefan
Rall, Björn C.
Brose, Ulrich
Jochum, Malte
author_facet Sohlström, Esra H.
Marian, Lucas
Barnes, Andrew D.
Haneda, Noor F.
Scheu, Stefan
Rall, Björn C.
Brose, Ulrich
Jochum, Malte
author_sort Sohlström, Esra H.
collection PubMed
description The ecological implications of body size extend from the biology of individual organisms to ecosystem‐level processes. Measuring body mass for high numbers of invertebrates can be logistically challenging, making length–mass regressions useful for predicting body mass with minimal effort. However, standardized sets of scaling relationships covering a large range in body length, taxonomic groups, and multiple geographical regions are scarce. We collected 6,212 arthropods from 19 higher‐level taxa in both temperate and tropical locations to compile a comprehensive set of linear models relating live body mass to a range of predictor variables. We measured live weight (hereafter, body mass), body length and width of each individual and conducted linear regressions to predict body mass using body length, body width, taxonomic group, and geographic region. Additionally, we quantified prediction discrepancy when using parameters from arthropods of a different geographic region. Incorporating body width into taxon‐ and region‐specific length–mass regressions yielded the highest prediction accuracy for body mass. Using regression parameters from a different geographic region increased prediction discrepancy, causing over‐ or underestimation of body mass depending on geographical origin and whether body width was included. We present a comprehensive range of parameters for predicting arthropod body mass and provide guidance for selecting optimal scaling relationships. Given the importance of body mass for functional invertebrate ecology and the paucity of adequate regressions to predict arthropod body mass from different geographical regions, our study provides a long‐needed resource for quantifying live body mass in invertebrate ecology research.
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spelling pubmed-63088972019-01-07 Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods Sohlström, Esra H. Marian, Lucas Barnes, Andrew D. Haneda, Noor F. Scheu, Stefan Rall, Björn C. Brose, Ulrich Jochum, Malte Ecol Evol Original Research The ecological implications of body size extend from the biology of individual organisms to ecosystem‐level processes. Measuring body mass for high numbers of invertebrates can be logistically challenging, making length–mass regressions useful for predicting body mass with minimal effort. However, standardized sets of scaling relationships covering a large range in body length, taxonomic groups, and multiple geographical regions are scarce. We collected 6,212 arthropods from 19 higher‐level taxa in both temperate and tropical locations to compile a comprehensive set of linear models relating live body mass to a range of predictor variables. We measured live weight (hereafter, body mass), body length and width of each individual and conducted linear regressions to predict body mass using body length, body width, taxonomic group, and geographic region. Additionally, we quantified prediction discrepancy when using parameters from arthropods of a different geographic region. Incorporating body width into taxon‐ and region‐specific length–mass regressions yielded the highest prediction accuracy for body mass. Using regression parameters from a different geographic region increased prediction discrepancy, causing over‐ or underestimation of body mass depending on geographical origin and whether body width was included. We present a comprehensive range of parameters for predicting arthropod body mass and provide guidance for selecting optimal scaling relationships. Given the importance of body mass for functional invertebrate ecology and the paucity of adequate regressions to predict arthropod body mass from different geographical regions, our study provides a long‐needed resource for quantifying live body mass in invertebrate ecology research. John Wiley and Sons Inc. 2018-12-06 /pmc/articles/PMC6308897/ /pubmed/30619578 http://dx.doi.org/10.1002/ece3.4702 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Sohlström, Esra H.
Marian, Lucas
Barnes, Andrew D.
Haneda, Noor F.
Scheu, Stefan
Rall, Björn C.
Brose, Ulrich
Jochum, Malte
Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title_full Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title_fullStr Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title_full_unstemmed Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title_short Applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
title_sort applying generalized allometric regressions to predict live body mass of tropical and temperate arthropods
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308897/
https://www.ncbi.nlm.nih.gov/pubmed/30619578
http://dx.doi.org/10.1002/ece3.4702
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