Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level

Autores
Polazzo, Francesco; Marina, Tomas Ignacio; Crettaz Minaglia, Melina Celeste; Rico, Andreu
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interactionstrength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.
Fil: Polazzo, Francesco. Instituto Madrileño de Estudios Avanzados; España
Fil: Marina, Tomas Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Crettaz Minaglia, Melina Celeste. Instituto Madrileño de Estudios Avanzados; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rico, Andreu. Instituto Madrileño de Estudios Avanzados; España. Universidad de Valencia; España
Materia
COMMUNITY ECOLOGY
COMPOSITION
FOOD WEB
MULTIPLE DISTURBANCES
RECOVERY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/194224
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community levelPolazzo, FrancescoMarina, Tomas IgnacioCrettaz Minaglia, Melina CelesteRico, AndreuCOMMUNITY ECOLOGYCOMPOSITIONFOOD WEBMULTIPLE DISTURBANCESRECOVERYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interactionstrength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.Fil: Polazzo, Francesco. Instituto Madrileño de Estudios Avanzados; EspañaFil: Marina, Tomas Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Crettaz Minaglia, Melina Celeste. Instituto Madrileño de Estudios Avanzados; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rico, Andreu. Instituto Madrileño de Estudios Avanzados; España. Universidad de Valencia; EspañaNational Academy of Sciences2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/194224Polazzo, Francesco; Marina, Tomas Ignacio; Crettaz Minaglia, Melina Celeste; Rico, Andreu; Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 119; 17; 4-20220027-8424CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pnas.org/doi/full/10.1073/pnas.2117364119info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.2117364119info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:16Zoai:ri.conicet.gov.ar:11336/194224instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:41:17.199CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
title Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
spellingShingle Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
Polazzo, Francesco
COMMUNITY ECOLOGY
COMPOSITION
FOOD WEB
MULTIPLE DISTURBANCES
RECOVERY
title_short Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
title_full Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
title_fullStr Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
title_full_unstemmed Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
title_sort Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
dc.creator.none.fl_str_mv Polazzo, Francesco
Marina, Tomas Ignacio
Crettaz Minaglia, Melina Celeste
Rico, Andreu
author Polazzo, Francesco
author_facet Polazzo, Francesco
Marina, Tomas Ignacio
Crettaz Minaglia, Melina Celeste
Rico, Andreu
author_role author
author2 Marina, Tomas Ignacio
Crettaz Minaglia, Melina Celeste
Rico, Andreu
author2_role author
author
author
dc.subject.none.fl_str_mv COMMUNITY ECOLOGY
COMPOSITION
FOOD WEB
MULTIPLE DISTURBANCES
RECOVERY
topic COMMUNITY ECOLOGY
COMPOSITION
FOOD WEB
MULTIPLE DISTURBANCES
RECOVERY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interactionstrength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.
Fil: Polazzo, Francesco. Instituto Madrileño de Estudios Avanzados; España
Fil: Marina, Tomas Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Crettaz Minaglia, Melina Celeste. Instituto Madrileño de Estudios Avanzados; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rico, Andreu. Instituto Madrileño de Estudios Avanzados; España. Universidad de Valencia; España
description Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interactionstrength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.
publishDate 2022
dc.date.none.fl_str_mv 2022-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/194224
Polazzo, Francesco; Marina, Tomas Ignacio; Crettaz Minaglia, Melina Celeste; Rico, Andreu; Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 119; 17; 4-2022
0027-8424
CONICET Digital
CONICET
url http://hdl.handle.net/11336/194224
identifier_str_mv Polazzo, Francesco; Marina, Tomas Ignacio; Crettaz Minaglia, Melina Celeste; Rico, Andreu; Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 119; 17; 4-2022
0027-8424
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pnas.org/doi/full/10.1073/pnas.2117364119
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.2117364119
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv National Academy of Sciences
publisher.none.fl_str_mv National Academy of Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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