Modeling of survival, mortality and recruitment of a forest in Central Amazon

Detalhes bibliográficos
Autor(a) principal: Nascimento, Rodrigo Geroni Mendes
Data de Publicação: 2013
Outros Autores: Machado, Sebastião do Amaral, Figueiredo Filho, Afonso, Higuchi, Niro
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/16040
Resumo: The objective of this research was to test and to select models for description of survival, ingrowth and mortality of all species and for group of pioneer species present in a tropical rainforest in center of the Amazon. The study area is located in the Tropical Forest Experiment Station, 90 km far from the urban center of Manaus - AM, Brazil. The data came from 12 permanent 1 ha plots with annual measurements of all individuals with a DBH equal or greater than 10 cm, between years 1990 and 2008. Probabilistic and biological growth functions adapted for modeling cumulative recruitment and mortality were used, as well as current survival per unit of area for all species; and for pioneer species of the forest. The statistical criteria of fitting the Schlaegel Index, standard error of estimate and graphical analysis of residuals, indicate that: i) the pdf of the Weibull model as being the most appropriate function for modeling the cumulative recruitment of the group of pioneers and the total of species; ii) Sloboda and Weibull models in modeling the cumulative mortality of the group of pioneers and the total of species; iii) Logistic and Levakovik I functions to model the survival of the group of pioneers and the total of species per hectare.
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spelling Nascimento, Rodrigo Geroni MendesMachado, Sebastião do AmaralFigueiredo Filho, AfonsoHiguchi, Niro2020-05-22T18:37:52Z2020-05-22T18:37:52Z2013https://repositorio.inpa.gov.br/handle/1/16040The objective of this research was to test and to select models for description of survival, ingrowth and mortality of all species and for group of pioneer species present in a tropical rainforest in center of the Amazon. The study area is located in the Tropical Forest Experiment Station, 90 km far from the urban center of Manaus - AM, Brazil. The data came from 12 permanent 1 ha plots with annual measurements of all individuals with a DBH equal or greater than 10 cm, between years 1990 and 2008. Probabilistic and biological growth functions adapted for modeling cumulative recruitment and mortality were used, as well as current survival per unit of area for all species; and for pioneer species of the forest. The statistical criteria of fitting the Schlaegel Index, standard error of estimate and graphical analysis of residuals, indicate that: i) the pdf of the Weibull model as being the most appropriate function for modeling the cumulative recruitment of the group of pioneers and the total of species; ii) Sloboda and Weibull models in modeling the cumulative mortality of the group of pioneers and the total of species; iii) Logistic and Levakovik I functions to model the survival of the group of pioneers and the total of species per hectare.Volume 41, Número 99, Pags. 319-330Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBiological GrowthGraphical AnalysisIngrowthMeasurements OfProbabilistic Density FunctionStandard ErrorsStatistical CriterionTropical Rain ForestTropicsWeibull DistributionForestryForestryStatistical DistributionTropicsModeling of survival, mortality and recruitment of a forest in Central AmazonModelagem da sobrevivência, mortalidade e recrutamento de uma floresta na Amazônia Centralinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Forestalis/Forest Sciencesporreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf569773https://repositorio.inpa.gov.br/bitstream/1/16040/1/artigo-inpa.pdfe28a2d4434d8e622f84c9fd11492c687MD511/160402020-07-14 11:28:08.731oai:repositorio:1/16040Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:28:08Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Modeling of survival, mortality and recruitment of a forest in Central Amazon
dc.title.alternative.pt_BR.fl_str_mv Modelagem da sobrevivência, mortalidade e recrutamento de uma floresta na Amazônia Central
title Modeling of survival, mortality and recruitment of a forest in Central Amazon
spellingShingle Modeling of survival, mortality and recruitment of a forest in Central Amazon
Nascimento, Rodrigo Geroni Mendes
Biological Growth
Graphical Analysis
Ingrowth
Measurements Of
Probabilistic Density Function
Standard Errors
Statistical Criterion
Tropical Rain Forest
Tropics
Weibull Distribution
Forestry
Forestry
Statistical Distribution
Tropics
title_short Modeling of survival, mortality and recruitment of a forest in Central Amazon
title_full Modeling of survival, mortality and recruitment of a forest in Central Amazon
title_fullStr Modeling of survival, mortality and recruitment of a forest in Central Amazon
title_full_unstemmed Modeling of survival, mortality and recruitment of a forest in Central Amazon
title_sort Modeling of survival, mortality and recruitment of a forest in Central Amazon
author Nascimento, Rodrigo Geroni Mendes
author_facet Nascimento, Rodrigo Geroni Mendes
Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
author_role author
author2 Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
author2_role author
author
author
dc.contributor.author.fl_str_mv Nascimento, Rodrigo Geroni Mendes
Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
dc.subject.eng.fl_str_mv Biological Growth
Graphical Analysis
Ingrowth
Measurements Of
Probabilistic Density Function
Standard Errors
Statistical Criterion
Tropical Rain Forest
Tropics
Weibull Distribution
Forestry
Forestry
Statistical Distribution
Tropics
topic Biological Growth
Graphical Analysis
Ingrowth
Measurements Of
Probabilistic Density Function
Standard Errors
Statistical Criterion
Tropical Rain Forest
Tropics
Weibull Distribution
Forestry
Forestry
Statistical Distribution
Tropics
description The objective of this research was to test and to select models for description of survival, ingrowth and mortality of all species and for group of pioneer species present in a tropical rainforest in center of the Amazon. The study area is located in the Tropical Forest Experiment Station, 90 km far from the urban center of Manaus - AM, Brazil. The data came from 12 permanent 1 ha plots with annual measurements of all individuals with a DBH equal or greater than 10 cm, between years 1990 and 2008. Probabilistic and biological growth functions adapted for modeling cumulative recruitment and mortality were used, as well as current survival per unit of area for all species; and for pioneer species of the forest. The statistical criteria of fitting the Schlaegel Index, standard error of estimate and graphical analysis of residuals, indicate that: i) the pdf of the Weibull model as being the most appropriate function for modeling the cumulative recruitment of the group of pioneers and the total of species; ii) Sloboda and Weibull models in modeling the cumulative mortality of the group of pioneers and the total of species; iii) Logistic and Levakovik I functions to model the survival of the group of pioneers and the total of species per hectare.
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2020-05-22T18:37:52Z
dc.date.available.fl_str_mv 2020-05-22T18:37:52Z
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 https://repositorio.inpa.gov.br/handle/1/16040
url https://repositorio.inpa.gov.br/handle/1/16040
dc.language.iso.fl_str_mv por
language por
dc.relation.ispartof.pt_BR.fl_str_mv Volume 41, Número 99, Pags. 319-330
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Scientia Forestalis/Forest Sciences
publisher.none.fl_str_mv Scientia Forestalis/Forest Sciences
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/16040/1/artigo-inpa.pdf
bitstream.checksum.fl_str_mv e28a2d4434d8e622f84c9fd11492c687
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv
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