Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation

Detalhes bibliográficos
Autor(a) principal: Cabella, Brenno [UNESP]
Data de Publicação: 2019
Outros Autores: Meloni, Fernando, Martinez, Alexandre S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/mca24020048
http://hdl.handle.net/11449/186098
Resumo: Cycles in population dynamics are abundant in nature and are understood as emerging from the interaction among coupled species. When sampling is conducted at a slow rate compared to the population cycle period (aliasing effect), one is prone to misinterpretations. However, aliasing has been poorly addressed in coupled population dynamics. To illustrate the aliasing effect, the Lotka-Volterra model oscillatory regime is numerically sampled, creating prey-predator cycles. We show that inadequate sampling rates may produce inversions in the cause-effect relationship among other artifacts. More generally, slow acquisition rates may distort data interpretation and produce deceptive patterns and eventually leading to misinterpretations, as predators becoming preys. Experiments in coupled population dynamics should be designed that address the eventual aliasing effect.
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spelling Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimationtemporal aliasing effectecological methodssampling ratescyclic dynamicspredator-prey systempopulation biologyCycles in population dynamics are abundant in nature and are understood as emerging from the interaction among coupled species. When sampling is conducted at a slow rate compared to the population cycle period (aliasing effect), one is prone to misinterpretations. However, aliasing has been poorly addressed in coupled population dynamics. To illustrate the aliasing effect, the Lotka-Volterra model oscillatory regime is numerically sampled, creating prey-predator cycles. We show that inadequate sampling rates may produce inversions in the cause-effect relationship among other artifacts. More generally, slow acquisition rates may distort data interpretation and produce deceptive patterns and eventually leading to misinterpretations, as predators becoming preys. Experiments in coupled population dynamics should be designed that address the eventual aliasing effect.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Paulista, Inst Fis Teor, UNESP, Rua Dr Bento Teobaldo Ferraz 271, BR-01140070 Sao Paulo, BrazilUniv Sao Paulo, FFCLRP, Ave Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP, BrazilINCT SC, Rua Dr Xavier Sigaud 150, BR-22290180 Urca, RJ, BrazilUniv Estadual Paulista, Inst Fis Teor, UNESP, Rua Dr Bento Teobaldo Ferraz 271, BR-01140070 Sao Paulo, BrazilCNPq: 309851/2018-1CAPES: 88882.317469/2019-01FAPESP: 2013/06196-4MdpiUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)INCT SCCabella, Brenno [UNESP]Meloni, FernandoMartinez, Alexandre S.2019-10-04T12:41:15Z2019-10-04T12:41:15Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7http://dx.doi.org/10.3390/mca24020048Mathematical And Computational Applications. Basel: Mdpi, v. 24, n. 2, 7 p., 2019.1300-686Xhttp://hdl.handle.net/11449/18609810.3390/mca24020048WOS:000483307400015Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMathematical And Computational Applicationsinfo:eu-repo/semantics/openAccess2021-10-23T01:35:27Zoai:repositorio.unesp.br:11449/186098Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:44:47.002368Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
title Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
spellingShingle Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
Cabella, Brenno [UNESP]
temporal aliasing effect
ecological methods
sampling rates
cyclic dynamics
predator-prey system
population biology
title_short Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
title_full Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
title_fullStr Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
title_full_unstemmed Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
title_sort Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
author Cabella, Brenno [UNESP]
author_facet Cabella, Brenno [UNESP]
Meloni, Fernando
Martinez, Alexandre S.
author_role author
author2 Meloni, Fernando
Martinez, Alexandre S.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
INCT SC
dc.contributor.author.fl_str_mv Cabella, Brenno [UNESP]
Meloni, Fernando
Martinez, Alexandre S.
dc.subject.por.fl_str_mv temporal aliasing effect
ecological methods
sampling rates
cyclic dynamics
predator-prey system
population biology
topic temporal aliasing effect
ecological methods
sampling rates
cyclic dynamics
predator-prey system
population biology
description Cycles in population dynamics are abundant in nature and are understood as emerging from the interaction among coupled species. When sampling is conducted at a slow rate compared to the population cycle period (aliasing effect), one is prone to misinterpretations. However, aliasing has been poorly addressed in coupled population dynamics. To illustrate the aliasing effect, the Lotka-Volterra model oscillatory regime is numerically sampled, creating prey-predator cycles. We show that inadequate sampling rates may produce inversions in the cause-effect relationship among other artifacts. More generally, slow acquisition rates may distort data interpretation and produce deceptive patterns and eventually leading to misinterpretations, as predators becoming preys. Experiments in coupled population dynamics should be designed that address the eventual aliasing effect.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-04T12:41:15Z
2019-10-04T12:41:15Z
2019-06-01
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://dx.doi.org/10.3390/mca24020048
Mathematical And Computational Applications. Basel: Mdpi, v. 24, n. 2, 7 p., 2019.
1300-686X
http://hdl.handle.net/11449/186098
10.3390/mca24020048
WOS:000483307400015
url http://dx.doi.org/10.3390/mca24020048
http://hdl.handle.net/11449/186098
identifier_str_mv Mathematical And Computational Applications. Basel: Mdpi, v. 24, n. 2, 7 p., 2019.
1300-686X
10.3390/mca24020048
WOS:000483307400015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mathematical And Computational Applications
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 7
dc.publisher.none.fl_str_mv Mdpi
publisher.none.fl_str_mv Mdpi
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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