Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia

Detalhes bibliográficos
Autor(a) principal: Brito,Janaina Gomes de
Data de Publicação: 2015
Outros Autores: Martins,Renato Tavares, Soares,Kleicy Maciel, Hamada,Neusa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de entomologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0085-56262015000400332
Resumo: ABSTRACT Biomass is a fundamental measure for understanding the structure and functioning (e.g. fluxes of energy and nutrients in the food chain) of aquatic ecosystems. We aim to provide predictive models to estimate the biomass of Triplectides egleri Sattler, 1963, in a stream in Central Amazonia, based on body and case dimensions. We used body length, head-capsule width, interocular distance and case length and width to derive biomass estimations. Linear, exponential and power regression models were used to assess the relationship between biomass and body or case dimensions. All regression models used in the biomass estimation of T. egleri were significant. The best fit between biomass and body or case dimensions was obtained using the power model, followed by the exponential and linear models. Body length provided the best estimate of biomass. However, the dimensions of sclerotized structures (interocular distance and head-capsule width) also provided good biomass predictions, and may be useful in estimating biomass of preserved and/or damaged material. Case width was the dimension of the case that provided the best estimate of biomass. Despite the low relation, case width may be useful in studies that require low stress on individuals.
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spelling Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central AmazoniaAllometric relationshipAquatic insectsBody dimensionsCase dimensionsShredder caddisflyABSTRACT Biomass is a fundamental measure for understanding the structure and functioning (e.g. fluxes of energy and nutrients in the food chain) of aquatic ecosystems. We aim to provide predictive models to estimate the biomass of Triplectides egleri Sattler, 1963, in a stream in Central Amazonia, based on body and case dimensions. We used body length, head-capsule width, interocular distance and case length and width to derive biomass estimations. Linear, exponential and power regression models were used to assess the relationship between biomass and body or case dimensions. All regression models used in the biomass estimation of T. egleri were significant. The best fit between biomass and body or case dimensions was obtained using the power model, followed by the exponential and linear models. Body length provided the best estimate of biomass. However, the dimensions of sclerotized structures (interocular distance and head-capsule width) also provided good biomass predictions, and may be useful in estimating biomass of preserved and/or damaged material. Case width was the dimension of the case that provided the best estimate of biomass. Despite the low relation, case width may be useful in studies that require low stress on individuals.Sociedade Brasileira De Entomologia2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0085-56262015000400332Revista Brasileira de Entomologia v.59 n.4 2015reponame:Revista brasileira de entomologia (Online)instname:Sociedade Brasileira De Entomologia (SBE)instacron:SBE10.1016/j.rbe.2015.09.003info:eu-repo/semantics/openAccessBrito,Janaina Gomes deMartins,Renato TavaresSoares,Kleicy MacielHamada,Neusaeng2015-12-15T00:00:00Zoai:scielo:S0085-56262015000400332Revistahttp://www.rbentomologia.com/https://old.scielo.br/oai/scielo-oai.php||sbe@ufpr.br1806-96650085-5626opendoar:2015-12-15T00:00Revista brasileira de entomologia (Online) - Sociedade Brasileira De Entomologia (SBE)false
dc.title.none.fl_str_mv Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
title Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
spellingShingle Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
Brito,Janaina Gomes de
Allometric relationship
Aquatic insects
Body dimensions
Case dimensions
Shredder caddisfly
title_short Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
title_full Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
title_fullStr Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
title_full_unstemmed Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
title_sort Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
author Brito,Janaina Gomes de
author_facet Brito,Janaina Gomes de
Martins,Renato Tavares
Soares,Kleicy Maciel
Hamada,Neusa
author_role author
author2 Martins,Renato Tavares
Soares,Kleicy Maciel
Hamada,Neusa
author2_role author
author
author
dc.contributor.author.fl_str_mv Brito,Janaina Gomes de
Martins,Renato Tavares
Soares,Kleicy Maciel
Hamada,Neusa
dc.subject.por.fl_str_mv Allometric relationship
Aquatic insects
Body dimensions
Case dimensions
Shredder caddisfly
topic Allometric relationship
Aquatic insects
Body dimensions
Case dimensions
Shredder caddisfly
description ABSTRACT Biomass is a fundamental measure for understanding the structure and functioning (e.g. fluxes of energy and nutrients in the food chain) of aquatic ecosystems. We aim to provide predictive models to estimate the biomass of Triplectides egleri Sattler, 1963, in a stream in Central Amazonia, based on body and case dimensions. We used body length, head-capsule width, interocular distance and case length and width to derive biomass estimations. Linear, exponential and power regression models were used to assess the relationship between biomass and body or case dimensions. All regression models used in the biomass estimation of T. egleri were significant. The best fit between biomass and body or case dimensions was obtained using the power model, followed by the exponential and linear models. Body length provided the best estimate of biomass. However, the dimensions of sclerotized structures (interocular distance and head-capsule width) also provided good biomass predictions, and may be useful in estimating biomass of preserved and/or damaged material. Case width was the dimension of the case that provided the best estimate of biomass. Despite the low relation, case width may be useful in studies that require low stress on individuals.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0085-56262015000400332
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0085-56262015000400332
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.rbe.2015.09.003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira De Entomologia
publisher.none.fl_str_mv Sociedade Brasileira De Entomologia
dc.source.none.fl_str_mv Revista Brasileira de Entomologia v.59 n.4 2015
reponame:Revista brasileira de entomologia (Online)
instname:Sociedade Brasileira De Entomologia (SBE)
instacron:SBE
instname_str Sociedade Brasileira De Entomologia (SBE)
instacron_str SBE
institution SBE
reponame_str Revista brasileira de entomologia (Online)
collection Revista brasileira de entomologia (Online)
repository.name.fl_str_mv Revista brasileira de entomologia (Online) - Sociedade Brasileira De Entomologia (SBE)
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