Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00040-021-00844-2 http://hdl.handle.net/11449/222915 |
Resumo: | Recent studies have shown that several sources of variation can influence our ability to quantify biological responses to environmental variables, and that spatial scales are important in this process. For instance, sampling methods may differ in their efficiency or specificity, leading to different inferred relationships between community responses and landscape composition—i.e., forest cover (%), landscape heterogeneity, edge effects, and functional connectivity. Consequently, this can also influence the predictive power of the models when evaluating organisms as bioindicators of habitat loss and land use modification. Here, we evaluated how sampling methods (i.e., Winkler, pitfall, beating, and baits) influence our capacity to assess the scale of effect of two landscape composition metrics on ant diversity. We conducted ant sampling in 16 landscapes within a Mexican tropical rainforest and assessed the relationship between species richness and landscape composition metrics through buffers with 12 different spatial extents (from 50 to 1000 m). We found that the sampling method influenced the scale of effect when evaluating the relationships between ant species richness and forest cover and landscape heterogeneity. Combining all sampling methods, we found that the scales that best explained ant species richness were 700 m for forest cover and 900 m for landscape heterogeneity. Therefore, we highlight that our ability to detect ant-based diversity responses to environmental variables depends on the sampling method and spatial extent used in the study. |
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Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforestForest coverFormicidaeLandscape heterogeneitySampling methodSpatial extentRecent studies have shown that several sources of variation can influence our ability to quantify biological responses to environmental variables, and that spatial scales are important in this process. For instance, sampling methods may differ in their efficiency or specificity, leading to different inferred relationships between community responses and landscape composition—i.e., forest cover (%), landscape heterogeneity, edge effects, and functional connectivity. Consequently, this can also influence the predictive power of the models when evaluating organisms as bioindicators of habitat loss and land use modification. Here, we evaluated how sampling methods (i.e., Winkler, pitfall, beating, and baits) influence our capacity to assess the scale of effect of two landscape composition metrics on ant diversity. We conducted ant sampling in 16 landscapes within a Mexican tropical rainforest and assessed the relationship between species richness and landscape composition metrics through buffers with 12 different spatial extents (from 50 to 1000 m). We found that the sampling method influenced the scale of effect when evaluating the relationships between ant species richness and forest cover and landscape heterogeneity. Combining all sampling methods, we found that the scales that best explained ant species richness were 700 m for forest cover and 900 m for landscape heterogeneity. Therefore, we highlight that our ability to detect ant-based diversity responses to environmental variables depends on the sampling method and spatial extent used in the study.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Consejo Nacional de Ciencia y TecnologíaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Red de Ecoetología Instituto de Ecología A.C., VeracruzCONACYTRed de Ecología Funcional Instituto de Ecología A.C, VeracruzSpatial Ecology and Conservation Lab (LEEC) Biodiversity Department Bioscience Institute Universidade Estadual Paulista, SPCentro de Investigaciones Tropicales Universidad Veracruzana, VeracruzSpatial Ecology and Conservation Lab (LEEC) Biodiversity Department Bioscience Institute Universidade Estadual Paulista, SPFAPESP: 2013/50421-2CNPq: 312045/2013-1CNPq: 312292/2016-3Consejo Nacional de Ciencia y Tecnología: 584340CAPES: 88881.068425/2014-0Instituto de Ecología A.C.CONACYTInstituto de Ecología A.CUniversidade Estadual Paulista (UNESP)Universidad VeracruzanaAhuatzin, D. A.González-Tokman, D.Valenzuela-González, J. E.Escobar, F.Ribeiro, M. C. [UNESP]Acosta, J. C.L.Dáttilo, W.2022-04-28T19:47:35Z2022-04-28T19:47:35Z2022-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article47-58http://dx.doi.org/10.1007/s00040-021-00844-2Insectes Sociaux, v. 69, n. 1, p. 47-58, 2022.1420-90980020-1812http://hdl.handle.net/11449/22291510.1007/s00040-021-00844-22-s2.0-85119891286Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInsectes Sociauxinfo:eu-repo/semantics/openAccess2022-04-28T19:47:35Zoai:repositorio.unesp.br:11449/222915Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:40:28.039300Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
title |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
spellingShingle |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest Ahuatzin, D. A. Forest cover Formicidae Landscape heterogeneity Sampling method Spatial extent |
title_short |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
title_full |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
title_fullStr |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
title_full_unstemmed |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
title_sort |
Sampling bias in multiscale ant diversity responses to landscape composition in a human-disturbed rainforest |
author |
Ahuatzin, D. A. |
author_facet |
Ahuatzin, D. A. González-Tokman, D. Valenzuela-González, J. E. Escobar, F. Ribeiro, M. C. [UNESP] Acosta, J. C.L. Dáttilo, W. |
author_role |
author |
author2 |
González-Tokman, D. Valenzuela-González, J. E. Escobar, F. Ribeiro, M. C. [UNESP] Acosta, J. C.L. Dáttilo, W. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Instituto de Ecología A.C. CONACYT Instituto de Ecología A.C Universidade Estadual Paulista (UNESP) Universidad Veracruzana |
dc.contributor.author.fl_str_mv |
Ahuatzin, D. A. González-Tokman, D. Valenzuela-González, J. E. Escobar, F. Ribeiro, M. C. [UNESP] Acosta, J. C.L. Dáttilo, W. |
dc.subject.por.fl_str_mv |
Forest cover Formicidae Landscape heterogeneity Sampling method Spatial extent |
topic |
Forest cover Formicidae Landscape heterogeneity Sampling method Spatial extent |
description |
Recent studies have shown that several sources of variation can influence our ability to quantify biological responses to environmental variables, and that spatial scales are important in this process. For instance, sampling methods may differ in their efficiency or specificity, leading to different inferred relationships between community responses and landscape composition—i.e., forest cover (%), landscape heterogeneity, edge effects, and functional connectivity. Consequently, this can also influence the predictive power of the models when evaluating organisms as bioindicators of habitat loss and land use modification. Here, we evaluated how sampling methods (i.e., Winkler, pitfall, beating, and baits) influence our capacity to assess the scale of effect of two landscape composition metrics on ant diversity. We conducted ant sampling in 16 landscapes within a Mexican tropical rainforest and assessed the relationship between species richness and landscape composition metrics through buffers with 12 different spatial extents (from 50 to 1000 m). We found that the sampling method influenced the scale of effect when evaluating the relationships between ant species richness and forest cover and landscape heterogeneity. Combining all sampling methods, we found that the scales that best explained ant species richness were 700 m for forest cover and 900 m for landscape heterogeneity. Therefore, we highlight that our ability to detect ant-based diversity responses to environmental variables depends on the sampling method and spatial extent used in the study. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:47:35Z 2022-04-28T19:47:35Z 2022-02-01 |
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/10.1007/s00040-021-00844-2 Insectes Sociaux, v. 69, n. 1, p. 47-58, 2022. 1420-9098 0020-1812 http://hdl.handle.net/11449/222915 10.1007/s00040-021-00844-2 2-s2.0-85119891286 |
url |
http://dx.doi.org/10.1007/s00040-021-00844-2 http://hdl.handle.net/11449/222915 |
identifier_str_mv |
Insectes Sociaux, v. 69, n. 1, p. 47-58, 2022. 1420-9098 0020-1812 10.1007/s00040-021-00844-2 2-s2.0-85119891286 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Insectes Sociaux |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
47-58 |
dc.source.none.fl_str_mv |
Scopus 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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1808128398397014016 |