Methodological overview and data-merging approaches in the study of plant–frugivore interactions

Special Issue:Fruits, animals and seed dispersal: timely advances on a key mutualism.

Detalhes bibliográficos
Autores: Quintero, Elena, Isla, Jorge, Jordano, Pedro
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/351688
Acesso em linha:http://hdl.handle.net/10261/351688
https://api.elsevier.com/content/abstract/scopus_id/85109039145
Access Level:acceso abierto
Palavra-chave:Plant–animal interactions
Seed dispersal
Ecological networks
Endozoochory
Frugivory
Methods
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spelling Methodological overview and data-merging approaches in the study of plant–frugivore interactionsQuintero, ElenaIsla, JorgeJordano, PedroPlant–animal interactionsSeed dispersalEcological networksEndozoochoryFrugivoryMethodsSpecial Issue:Fruits, animals and seed dispersal: timely advances on a key mutualism.Recording species interactions is one of the main challenges in ecological studies. Frugivory has received much attention for decades as a model for mutualisms among free-living species, and a variety of methods have been designed and developed for sampling and monitoring plant–frugivore interactions. The diversity of techniques poses an important challenge when comparing, combining or replicating results from different sources with different methodologies. With the emergence of modern techniques, such as molecular analysis or multimedia remote recorders, issues when combining data from different sources have become especially relevant. We provide an overview of all the techniques used for monitoring endozoochorous primary seed dispersal, focusing on a critical appraisal of the advantages and limitations, as well as the context-dependency nature, of the different methods. We propose five data merging approaches potentially useful to combine frugivory interactions data from different methodologies. Additionally, we provide two case studies where we combine empirical data from plant–animal interactions in Mediterranean shrublands using different methodologies. Data merging resulted in a net increase in the number of distinct pairwise interactions recorded and compensated biases inherent to different methods, resulting in a more robust estimation of network topological descriptors. These case studies clarify the context-dependent character of the merging approaches, highlighting the value of collecting detailed information on the sampling effort in terms of reliable results and reproducibility. Finally, we discuss the trends with different methodological approaches used in the last decades and future perspectives in this field.Our work was funded by project by CGL2017-82847-P from the Agencia Estatal de Investigación, Spain. During their respective PhD projects, EQ is being supported by ‘La Caixa' Foundation grant ID LCF/BQ/DE18/11670007, and JI by FPI grant PRE2018-085916 from the Spanish Ministry of Science and Innovation.Peer reviewedJohn Wiley & SonsAgencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)Quintero, Elena [0000-0003-4979-6874]Isla, Jorge [0000-0002-2307-9730]Jordano, Pedro [0000-0003-2142-9116]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/351688https://api.elsevier.com/content/abstract/scopus_id/85109039145reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-82847-Phttps://doi.org/10.1111/oik.08379Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3516882026-05-22T06:33:51Z
dc.title.none.fl_str_mv Methodological overview and data-merging approaches in the study of plant–frugivore interactions
title Methodological overview and data-merging approaches in the study of plant–frugivore interactions
spellingShingle Methodological overview and data-merging approaches in the study of plant–frugivore interactions
Quintero, Elena
Plant–animal interactions
Seed dispersal
Ecological networks
Endozoochory
Frugivory
Methods
title_short Methodological overview and data-merging approaches in the study of plant–frugivore interactions
title_full Methodological overview and data-merging approaches in the study of plant–frugivore interactions
title_fullStr Methodological overview and data-merging approaches in the study of plant–frugivore interactions
title_full_unstemmed Methodological overview and data-merging approaches in the study of plant–frugivore interactions
title_sort Methodological overview and data-merging approaches in the study of plant–frugivore interactions
dc.creator.none.fl_str_mv Quintero, Elena
Isla, Jorge
Jordano, Pedro
author Quintero, Elena
author_facet Quintero, Elena
Isla, Jorge
Jordano, Pedro
author_role author
author2 Isla, Jorge
Jordano, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Ministerio de Ciencia e Innovación (España)
Quintero, Elena [0000-0003-4979-6874]
Isla, Jorge [0000-0002-2307-9730]
Jordano, Pedro [0000-0003-2142-9116]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Plant–animal interactions
Seed dispersal
Ecological networks
Endozoochory
Frugivory
Methods
topic Plant–animal interactions
Seed dispersal
Ecological networks
Endozoochory
Frugivory
Methods
description Special Issue:Fruits, animals and seed dispersal: timely advances on a key mutualism.
publishDate 2022
dc.date.none.fl_str_mv 2022
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/351688
https://api.elsevier.com/content/abstract/scopus_id/85109039145
url http://hdl.handle.net/10261/351688
https://api.elsevier.com/content/abstract/scopus_id/85109039145
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-82847-P
https://doi.org/10.1111/oik.08379
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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