Artigo

Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream

Aquatic invertebrate biomass estimations are often important in ecological and biological studies. Biomass may be determined by regression models between body and case dimensions and dry mass. Using linear, exponential and power regressions we analyzed the relationship between body and case dimensio...

ver descrição completa

Autor principal: Martins, Renato Tavares
Outros Autores: Melo, Adriano Sanches, Gonçalves, José Francisco Júnior, Hamada, Neusa
Grau: Artigo
Idioma: English
Publicado em: Zoologia 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/15273
id oai:repositorio:1-15273
recordtype dspace
spelling oai:repositorio:1-15273 Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream Martins, Renato Tavares Melo, Adriano Sanches Gonçalves, José Francisco Júnior Hamada, Neusa Calamoceratidae Hexapoda Phylloicus Trichoptera Aquatic invertebrate biomass estimations are often important in ecological and biological studies. Biomass may be determined by regression models between body and case dimensions and dry mass. Using linear, exponential and power regressions we analyzed the relationship between body and case dimensions and the biomass of Phylloicus elektoros Prather, 2003. Furthermore, we used cross-validation to evaluate the predictions of our models and of the models developed for Phylloicus sp. from southeastern Brazil. We measured four body dimensions (head capsule width, interocular distance, body and pronotum length) of 152 larvae and two case dimensions (width and length) of 45 cases. Case width provided better fit with biomass than case length in all model classes. Body length provided the best biomass prediction. Biomass predictions using models proposed in the literature were 75% lower than the observed values. The power model provided the best fit between body and case dimensions with biomass. However, exponential models also provided good biomass estimates. We observed a close fit between body and case dimensions and biomass, but the predictive power of the models was low (~40%). The predictive power of models proposed in the literature was much worse than those built from local data and thus we do not recommend their use to predict the biomass of organisms from different regions. © 2014 Sociedade Brasileira de Zoologia. All rights reserved. 2020-05-07T14:22:46Z 2020-05-07T14:22:46Z 2014 Artigo https://repositorio.inpa.gov.br/handle/1/15273 10.1590/S1984-46702014000400005 en Volume 31, Número 4, Pags. 337-342 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Zoologia
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Calamoceratidae
Hexapoda
Phylloicus
Trichoptera
spellingShingle Calamoceratidae
Hexapoda
Phylloicus
Trichoptera
Martins, Renato Tavares
Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
topic_facet Calamoceratidae
Hexapoda
Phylloicus
Trichoptera
description Aquatic invertebrate biomass estimations are often important in ecological and biological studies. Biomass may be determined by regression models between body and case dimensions and dry mass. Using linear, exponential and power regressions we analyzed the relationship between body and case dimensions and the biomass of Phylloicus elektoros Prather, 2003. Furthermore, we used cross-validation to evaluate the predictions of our models and of the models developed for Phylloicus sp. from southeastern Brazil. We measured four body dimensions (head capsule width, interocular distance, body and pronotum length) of 152 larvae and two case dimensions (width and length) of 45 cases. Case width provided better fit with biomass than case length in all model classes. Body length provided the best biomass prediction. Biomass predictions using models proposed in the literature were 75% lower than the observed values. The power model provided the best fit between body and case dimensions with biomass. However, exponential models also provided good biomass estimates. We observed a close fit between body and case dimensions and biomass, but the predictive power of the models was low (~40%). The predictive power of models proposed in the literature was much worse than those built from local data and thus we do not recommend their use to predict the biomass of organisms from different regions. © 2014 Sociedade Brasileira de Zoologia. All rights reserved.
format Artigo
author Martins, Renato Tavares
author2 Melo, Adriano Sanches
Gonçalves, José Francisco Júnior
Hamada, Neusa
author2Str Melo, Adriano Sanches
Gonçalves, José Francisco Júnior
Hamada, Neusa
title Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
title_short Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
title_full Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
title_fullStr Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
title_full_unstemmed Estimation of dry mass of caddisflies Phylloicus elektoros (Trichoptera: Calamoceratidae) in a Central Amazon stream
title_sort estimation of dry mass of caddisflies phylloicus elektoros (trichoptera: calamoceratidae) in a central amazon stream
publisher Zoologia
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/15273
_version_ 1787141916747366400
score 11.755432