Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production

Detalhes bibliográficos
Autor(a) principal: Calama, Rafael
Data de Publicação: 2011
Outros Autores: Mutke, Sven, Tomé, José, Gordo, Javier, Montero, Gregorio, Tomé, Margarida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/4266
Resumo: Available at ScienceDirect
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spelling Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone productionzero-inflatedseed productionnon-wood forest productcycling mastingweather trackingresource depletionAvailable at ScienceDirectModelling masting habit, i.e. the spatial synchronized annual variability in fruit production, is a huge task due to two main circumstances: (1) the identification of main ecological factors controlling fruiting processes, and (2) the common departure of fruit data series from the main basic statistical assumptions of normality and independence. Stone pine (Pinus pinea L.) is one of the main species in the Mediterranean basin that is able to grow under hard limiting conditions (sandy soils and extreme continental climate), and typically defined as a masting species. Considering the high economical value associated with edible nut production, the masting habit of stone pine has been a main concern for the forest management of the species. In the present work we have used annual fruit data series from 740 stone pine trees measured during a 13 years period (1996–2008) in order: (a) to verify our main hypothesis pointing out to the existence of a weather control of the fruiting process in limiting environments, rather than resource depletion or endogenous inherent cycles; (b) to identify those site factors, stand attributes and climate events affecting specific traits involved in fruiting process; and (c) to construct a model for predicting spatial and temporal patterns of variability in stone pine cone production at different spatial extents as region, stand and tree. Given the nature of the data, the model has been formulated as zero-inflated log-normal, incorporating random components to carry out with the observed lack of independence. This model attains efficiencies close to 70–80% in predicting temporal and spatial variability at regional scale. Though efficiencies are reduced according to the spatial extent of the model, it leads to unbiased estimates and efficiencies over 35–50% when predicting annual yields at tree or stand scale, respectively. In this sense, the proposed model is a main tool for facilitating decision making in some management aspects such as the quantification of total amount of cones annually supplied to nut industry, design of cone harvest programs or the optimal application of seedling fellingElsevierRepositório da Universidade de LisboaCalama, RafaelMutke, SvenTomé, JoséGordo, JavierMontero, GregorioTomé, Margarida2012-04-24T10:39:52Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/4266eng"Ecological Modelling". ISSN 0304-3800. 222 (3) (2011) 606-6180304-3800info: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:RCAAP2023-03-06T14:35:16Zoai:www.repository.utl.pt:10400.5/4266Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:51:57.846669Repositório 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 Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
title Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
spellingShingle Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
Calama, Rafael
zero-inflated
seed production
non-wood forest product
cycling masting
weather tracking
resource depletion
title_short Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
title_full Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
title_fullStr Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
title_full_unstemmed Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
title_sort Modelling spacial and temporal variability in a zero-inflated variable: the case of scot pine (Pinus pinea) cone production
author Calama, Rafael
author_facet Calama, Rafael
Mutke, Sven
Tomé, José
Gordo, Javier
Montero, Gregorio
Tomé, Margarida
author_role author
author2 Mutke, Sven
Tomé, José
Gordo, Javier
Montero, Gregorio
Tomé, Margarida
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Calama, Rafael
Mutke, Sven
Tomé, José
Gordo, Javier
Montero, Gregorio
Tomé, Margarida
dc.subject.por.fl_str_mv zero-inflated
seed production
non-wood forest product
cycling masting
weather tracking
resource depletion
topic zero-inflated
seed production
non-wood forest product
cycling masting
weather tracking
resource depletion
description Available at ScienceDirect
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2012-04-24T10:39:52Z
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/10400.5/4266
url http://hdl.handle.net/10400.5/4266
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Ecological Modelling". ISSN 0304-3800. 222 (3) (2011) 606-618
0304-3800
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
instacron_str RCAAP
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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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