Inadequate Sampling Rates Can Undermine the Reliability of Ecological Interaction Estimation
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
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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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 |
|
_version_ |
1808129353725247488 |