PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS

Detalhes bibliográficos
Autor(a) principal: Silva, Guilherme Mota da
Data de Publicação: 2022
Tipo de documento: Conjunto de dados
Título da fonte: SciELO Data
Texto Completo: https://doi.org/10.48331/scielodata.X3RTV4
Resumo: We are submitting the revised manuscript intitled “Predictive model for the presence of the invasing snail Achatina (Lissachatina) fulica in Sergipe, Northeast Brazil, based on soil and climate characteristics” by Guilherme M. Silva, Silvana C. Thiengo, Alef N. Menezes, Cláudia M. Melo and Verônica L. S. Jeraldo, for publication as an original article in the Biota Neotropica. In this manuscript, we investigate the invasive giant African snail A. fulica in eight subregions of Sergipe, Brazil, Northern Brazil describing a predictive mathematical model based on its presence, climatic variables, and the physicochemical parameters of the soil. This is also the first ecological study of A. fulica where body mass-length relationship and relative condition factor are analyzed, in the context of climatic variables and the chemical parameters of the soil, in order to determine the development patterns and wellbeing of this snail in Brazil. These findings provide fundamental guidelines for the development and improvement of measures for the control of A. fulica populations, contributing to both human, veterinary and environment health.
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spelling https://doi.org/10.48331/scielodata.X3RTV4Silva, Guilherme Mota daPREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICSSciELO DataWe are submitting the revised manuscript intitled “Predictive model for the presence of the invasing snail Achatina (Lissachatina) fulica in Sergipe, Northeast Brazil, based on soil and climate characteristics” by Guilherme M. Silva, Silvana C. Thiengo, Alef N. Menezes, Cláudia M. Melo and Verônica L. S. Jeraldo, for publication as an original article in the Biota Neotropica. In this manuscript, we investigate the invasive giant African snail A. fulica in eight subregions of Sergipe, Brazil, Northern Brazil describing a predictive mathematical model based on its presence, climatic variables, and the physicochemical parameters of the soil. This is also the first ecological study of A. fulica where body mass-length relationship and relative condition factor are analyzed, in the context of climatic variables and the chemical parameters of the soil, in order to determine the development patterns and wellbeing of this snail in Brazil. These findings provide fundamental guidelines for the development and improvement of measures for the control of A. fulica populations, contributing to both human, veterinary and environment health.2022-11-17info:eu-repo/semantics/openAccesshttp://creativecommons.org/publicdomain/zero/1.0Otherinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:SciELO Datainstname:Scientific Electronic Library Online (SCIELO)instacron:SCIRepositório de Dados de PesquisaONGhttps://data.scielo.org/oai/requestdata@scielo.orgopendoar:2024-04-11T06:11:22SciELO Data - Scientific Electronic Library Online (SCIELO)falsedoi:10.48331/scielodata.X3RTV4
dc.title.none.fl_str_mv PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
title PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
spellingShingle PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
Silva, Guilherme Mota da
Other
title_short PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
title_full PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
title_fullStr PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
title_full_unstemmed PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
title_sort PREDICTIVE MODEL FOR THE PRESENCE OF THE INVASING SNAIL Achatina (Lissachatina) fulica IN SERGIPE, NORTHEAST BRAZIL, BASED ON SOIL AND CLIMATE CHARACTERISTICS
author Silva, Guilherme Mota da
author_facet Silva, Guilherme Mota da
author_role author
dc.contributor.author.fl_str_mv Silva, Guilherme Mota da
dc.subject.none.fl_str_mv Other
topic Other
description We are submitting the revised manuscript intitled “Predictive model for the presence of the invasing snail Achatina (Lissachatina) fulica in Sergipe, Northeast Brazil, based on soil and climate characteristics” by Guilherme M. Silva, Silvana C. Thiengo, Alef N. Menezes, Cláudia M. Melo and Verônica L. S. Jeraldo, for publication as an original article in the Biota Neotropica. In this manuscript, we investigate the invasive giant African snail A. fulica in eight subregions of Sergipe, Brazil, Northern Brazil describing a predictive mathematical model based on its presence, climatic variables, and the physicochemical parameters of the soil. This is also the first ecological study of A. fulica where body mass-length relationship and relative condition factor are analyzed, in the context of climatic variables and the chemical parameters of the soil, in order to determine the development patterns and wellbeing of this snail in Brazil. These findings provide fundamental guidelines for the development and improvement of measures for the control of A. fulica populations, contributing to both human, veterinary and environment health.
publishDate 2022
dc.date.issued.fl_str_mv 2022-11-17
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.url.fl_str_mv https://doi.org/10.48331/scielodata.X3RTV4
url https://doi.org/10.48331/scielodata.X3RTV4
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/publicdomain/zero/1.0
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