Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Botanica Brasilica |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200166 |
Resumo: | ABSTRACT Estimating species richness with herbarium data and new collections allows us to understand the distribution of diversity. We investigated the accuracy of lycophyte and fern sampling along a vegetation gradient in the subtropical Atlantic Forest in southern Brazil. We compiled lycophyte and fern collection metadata and estimated species richness and assessed sampling accuracy for sixty 50 x 50 km units using ACE, Chao 1, Chao 2, Jackknife 1 and Jackknife 2 estimators. We compiled data for 12,779 fern specimens of 441 species, 67 of which were sampled in only one unit (singletons) and 35 in two units (duplicates). Of the 60 units examined, only 11 had observed values that were above 70% of their estimated values, and 14 had observed levels between 65-70% of the estimated values, meaning that 35 units had a sampling accuracy of less than 65%. In spite of the long history of lycophyte and fern collecting in the study area, there remain units with a lower than expected sampling accuracy for a subtropical forest. This finding indicates that a sizeable collection effort is needed in order to discover the actual distribution of species before the effects of fragmentation and deforestation become permanent. |
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Acta Botanica Brasilica |
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Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forestbotanical collectionsestimatorshotspotpteridophytesouthern Brazilspecies richness estimatesABSTRACT Estimating species richness with herbarium data and new collections allows us to understand the distribution of diversity. We investigated the accuracy of lycophyte and fern sampling along a vegetation gradient in the subtropical Atlantic Forest in southern Brazil. We compiled lycophyte and fern collection metadata and estimated species richness and assessed sampling accuracy for sixty 50 x 50 km units using ACE, Chao 1, Chao 2, Jackknife 1 and Jackknife 2 estimators. We compiled data for 12,779 fern specimens of 441 species, 67 of which were sampled in only one unit (singletons) and 35 in two units (duplicates). Of the 60 units examined, only 11 had observed values that were above 70% of their estimated values, and 14 had observed levels between 65-70% of the estimated values, meaning that 35 units had a sampling accuracy of less than 65%. In spite of the long history of lycophyte and fern collecting in the study area, there remain units with a lower than expected sampling accuracy for a subtropical forest. This finding indicates that a sizeable collection effort is needed in order to discover the actual distribution of species before the effects of fragmentation and deforestation become permanent.Sociedade Botânica do Brasil2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200166Acta Botanica Brasilica v.30 n.2 2016reponame:Acta Botanica Brasilicainstname:Sociedade Botânica do Brasil (SBB)instacron:SBB10.1590/0102-33062015abb0292info:eu-repo/semantics/openAccessGasper,André Luís deEisenlohr,Pedro V.Salino,Alexandreeng2016-05-20T00:00:00Zoai:scielo:S0102-33062016000200166Revistahttps://www.scielo.br/j/abb/ONGhttps://old.scielo.br/oai/scielo-oai.phpacta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com1677-941X0102-3306opendoar:2016-05-20T00:00Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB)false |
dc.title.none.fl_str_mv |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
title |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
spellingShingle |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest Gasper,André Luís de botanical collections estimators hotspot pteridophyte southern Brazil species richness estimates |
title_short |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
title_full |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
title_fullStr |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
title_full_unstemmed |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
title_sort |
Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest |
author |
Gasper,André Luís de |
author_facet |
Gasper,André Luís de Eisenlohr,Pedro V. Salino,Alexandre |
author_role |
author |
author2 |
Eisenlohr,Pedro V. Salino,Alexandre |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Gasper,André Luís de Eisenlohr,Pedro V. Salino,Alexandre |
dc.subject.por.fl_str_mv |
botanical collections estimators hotspot pteridophyte southern Brazil species richness estimates |
topic |
botanical collections estimators hotspot pteridophyte southern Brazil species richness estimates |
description |
ABSTRACT Estimating species richness with herbarium data and new collections allows us to understand the distribution of diversity. We investigated the accuracy of lycophyte and fern sampling along a vegetation gradient in the subtropical Atlantic Forest in southern Brazil. We compiled lycophyte and fern collection metadata and estimated species richness and assessed sampling accuracy for sixty 50 x 50 km units using ACE, Chao 1, Chao 2, Jackknife 1 and Jackknife 2 estimators. We compiled data for 12,779 fern specimens of 441 species, 67 of which were sampled in only one unit (singletons) and 35 in two units (duplicates). Of the 60 units examined, only 11 had observed values that were above 70% of their estimated values, and 14 had observed levels between 65-70% of the estimated values, meaning that 35 units had a sampling accuracy of less than 65%. In spite of the long history of lycophyte and fern collecting in the study area, there remain units with a lower than expected sampling accuracy for a subtropical forest. This finding indicates that a sizeable collection effort is needed in order to discover the actual distribution of species before the effects of fragmentation and deforestation become permanent. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-01 |
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=S0102-33062016000200166 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200166 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-33062015abb0292 |
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 Botânica do Brasil |
publisher.none.fl_str_mv |
Sociedade Botânica do Brasil |
dc.source.none.fl_str_mv |
Acta Botanica Brasilica v.30 n.2 2016 reponame:Acta Botanica Brasilica instname:Sociedade Botânica do Brasil (SBB) instacron:SBB |
instname_str |
Sociedade Botânica do Brasil (SBB) |
instacron_str |
SBB |
institution |
SBB |
reponame_str |
Acta Botanica Brasilica |
collection |
Acta Botanica Brasilica |
repository.name.fl_str_mv |
Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB) |
repository.mail.fl_str_mv |
acta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com |
_version_ |
1752126662029344768 |