Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis

Detalhes bibliográficos
Autor(a) principal: Maia,Maria João
Data de Publicação: 2003
Outros Autores: Rego,Francisco, Machado,Francisco Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007
Resumo: Studies on red deer feeding ecology have been conducted in Portugal for several years and in various locations using microhistological techniques on feces. These analyses are extremely time consuming requiring the optimization of the multistage sampling scheme used. Estimates of variance components based on samples from red deer pellets in Vila Viçosa (southern Portugal) indicate that variability among individual pellets of the same pellet group is minimal. It is concluded that using 100 plant fragments observed per pellet, a minimum number of 4 pellet groups provides a reasonable compromise between precision and cost.
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spelling Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysisred deermicrohistological analysissamplingdietStudies on red deer feeding ecology have been conducted in Portugal for several years and in various locations using microhistological techniques on feces. These analyses are extremely time consuming requiring the optimization of the multistage sampling scheme used. Estimates of variance components based on samples from red deer pellets in Vila Viçosa (southern Portugal) indicate that variability among individual pellets of the same pellet group is minimal. It is concluded that using 100 plant fragments observed per pellet, a minimum number of 4 pellet groups provides a reasonable compromise between precision and cost.Unidade de Silvicultura e Produtos Florestais2003-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007Silva Lusitana v.11 n.1 2003reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007Maia,Maria JoãoRego,FranciscoMachado,Francisco Sousainfo:eu-repo/semantics/openAccess2024-02-06T16:58:59Zoai:scielo:S0870-63522003000100007Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:15:28.331465Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
title Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
spellingShingle Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
Maia,Maria João
red deer
microhistological analysis
sampling
diet
title_short Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
title_full Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
title_fullStr Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
title_full_unstemmed Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
title_sort Determining Optimal Sampling Schemes to Study Red Deer Diets by Fecal Analysis
author Maia,Maria João
author_facet Maia,Maria João
Rego,Francisco
Machado,Francisco Sousa
author_role author
author2 Rego,Francisco
Machado,Francisco Sousa
author2_role author
author
dc.contributor.author.fl_str_mv Maia,Maria João
Rego,Francisco
Machado,Francisco Sousa
dc.subject.por.fl_str_mv red deer
microhistological analysis
sampling
diet
topic red deer
microhistological analysis
sampling
diet
description Studies on red deer feeding ecology have been conducted in Portugal for several years and in various locations using microhistological techniques on feces. These analyses are extremely time consuming requiring the optimization of the multistage sampling scheme used. Estimates of variance components based on samples from red deer pellets in Vila Viçosa (southern Portugal) indicate that variability among individual pellets of the same pellet group is minimal. It is concluded that using 100 plant fragments observed per pellet, a minimum number of 4 pellet groups provides a reasonable compromise between precision and cost.
publishDate 2003
dc.date.none.fl_str_mv 2003-06-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522003000100007
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 Unidade de Silvicultura e Produtos Florestais
publisher.none.fl_str_mv Unidade de Silvicultura e Produtos Florestais
dc.source.none.fl_str_mv Silva Lusitana v.11 n.1 2003
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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