Modeling of survival, mortality and recruitment of a forest in Central Amazon
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , , |
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. |
id |
INPA-2_d51ded34eb39eae8432073fe86947051 |
---|---|
oai_identifier_str |
oai:repositorio:1/16040 |
network_acronym_str |
INPA-2 |
network_name_str |
Repositório Institucional do INPA |
repository_id_str |
|
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 |
|
_version_ |
1823419480447909888 |