Modeling size-number distributions of seeds for use in soil bank studies
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/1347 |
Resumo: | Knowledge of soil seed banks is essential to understand the dynamics of plant populations and communities and would greatly benefit from the integration of existing knowledge on ecological correlates of seed size and shape. This paper aims to establish a feasible and meaningful method to describe size-number distributions of seeds in multi-species situations. For that purpose, size-number distributions of seeds with known length, width and thickness were determined by sequential sieving. The most appropriate combination of sieves and seeds dimensions was established, and the adequacy of the power function and the Weibull model to describe size-number distributions of spherical, non-spherical, and all seeds was investigated. We found that the geometric mean of seed length, width and thickness was the most adequate size estimator, providing shape-independent measures of seeds volume directly related to sieves mesh side, and that both the power function and the Weibull model provide high quality descriptions of size-number distributions of spherical, non-spherical, and all seeds. We also found that, in spite of its slightly lower accuracy, the power function is, at this stage, a more trustworthy model to characterize size-number distributions of seeds in soils banks because in some Weibull equations the estimates of the scale parameter were not acceptable. |
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Modeling size-number distributions of seeds for use in soil bank studiesseed sizeseed shapeKnowledge of soil seed banks is essential to understand the dynamics of plant populations and communities and would greatly benefit from the integration of existing knowledge on ecological correlates of seed size and shape. This paper aims to establish a feasible and meaningful method to describe size-number distributions of seeds in multi-species situations. For that purpose, size-number distributions of seeds with known length, width and thickness were determined by sequential sieving. The most appropriate combination of sieves and seeds dimensions was established, and the adequacy of the power function and the Weibull model to describe size-number distributions of spherical, non-spherical, and all seeds was investigated. We found that the geometric mean of seed length, width and thickness was the most adequate size estimator, providing shape-independent measures of seeds volume directly related to sieves mesh side, and that both the power function and the Weibull model provide high quality descriptions of size-number distributions of spherical, non-spherical, and all seeds. We also found that, in spite of its slightly lower accuracy, the power function is, at this stage, a more trustworthy model to characterize size-number distributions of seeds in soils banks because in some Weibull equations the estimates of the scale parameter were not acceptable.2008-10-27T14:45:16Z2008-10-272008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6343 bytesapplication/pdfhttp://hdl.handle.net/10174/1347http://hdl.handle.net/10174/1347eng531-535Journal of Integrative Plant Biology50livrendndlsdias@uevora.pt223Casco, H.Dias, A.S.Dias, L.S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:37:11Zoai:dspace.uevora.pt:10174/1347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:57:23.674631Repositório 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 |
Modeling size-number distributions of seeds for use in soil bank studies |
title |
Modeling size-number distributions of seeds for use in soil bank studies |
spellingShingle |
Modeling size-number distributions of seeds for use in soil bank studies Casco, H. seed size seed shape |
title_short |
Modeling size-number distributions of seeds for use in soil bank studies |
title_full |
Modeling size-number distributions of seeds for use in soil bank studies |
title_fullStr |
Modeling size-number distributions of seeds for use in soil bank studies |
title_full_unstemmed |
Modeling size-number distributions of seeds for use in soil bank studies |
title_sort |
Modeling size-number distributions of seeds for use in soil bank studies |
author |
Casco, H. |
author_facet |
Casco, H. Dias, A.S. Dias, L.S. |
author_role |
author |
author2 |
Dias, A.S. Dias, L.S. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Casco, H. Dias, A.S. Dias, L.S. |
dc.subject.por.fl_str_mv |
seed size seed shape |
topic |
seed size seed shape |
description |
Knowledge of soil seed banks is essential to understand the dynamics of plant populations and communities and would greatly benefit from the integration of existing knowledge on ecological correlates of seed size and shape. This paper aims to establish a feasible and meaningful method to describe size-number distributions of seeds in multi-species situations. For that purpose, size-number distributions of seeds with known length, width and thickness were determined by sequential sieving. The most appropriate combination of sieves and seeds dimensions was established, and the adequacy of the power function and the Weibull model to describe size-number distributions of spherical, non-spherical, and all seeds was investigated. We found that the geometric mean of seed length, width and thickness was the most adequate size estimator, providing shape-independent measures of seeds volume directly related to sieves mesh side, and that both the power function and the Weibull model provide high quality descriptions of size-number distributions of spherical, non-spherical, and all seeds. We also found that, in spite of its slightly lower accuracy, the power function is, at this stage, a more trustworthy model to characterize size-number distributions of seeds in soils banks because in some Weibull equations the estimates of the scale parameter were not acceptable. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-10-27T14:45:16Z 2008-10-27 2008-01-01T00:00:00Z |
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://hdl.handle.net/10174/1347 http://hdl.handle.net/10174/1347 |
url |
http://hdl.handle.net/10174/1347 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
531-535 Journal of Integrative Plant Biology 50 livre nd nd lsdias@uevora.pt 223 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6343 bytes application/pdf |
dc.source.none.fl_str_mv |
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 |
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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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1799136458029662208 |