Modeling size-number distributions of seeds for use in soil bank studies

Bibliographic Details
Main Author: Casco, H.
Publication Date: 2008
Other Authors: Dias, A.S., Dias, L.S.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/1347
Summary: 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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spelling 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T18:37:11Zoai:dspace.uevora.pt:10174/1347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:50:03.542547Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/1347
http://hdl.handle.net/10174/1347
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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
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