Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop

Autores
Schenone, Luca; Modenutti, Beatriz; Martyniuk, Nicolás; Bastidas Navarro, Marcela; Laspoumaderes, Cecilia; Balseiro, Esteban
Año de publicación
2021
Idioma
inglés
Tipo de recurso
conjunto de datos
Estado
versión aceptada
Descripción
1. Pelagic microbial food webs are structured by zooplankton through grazing and nutrient recycling. Cladocerans and copepods are assumed to display different effects on the microbial loop by grazing on different prey sizes and releasing phosphorus (P) differentially. Here, we assessed this effect of differential zooplankton grazing and nutrient recycling on the microbial loop dynamics using both experimental and modelling approaches combined. 2. We performed field incubation experiments in an oligotrophic mountain lake (North-Patagonian Andes) using the natural microbial community and the two dominant zooplankton taxa: a cladoceran (Diaphanosoma chilense) and a copepod (Boeckella gibbosa). The effect of zooplankton grazing and nutrient recycling were assessed separately in different treatments with direct and indirect zooplankton presence, respectively. We built a mechanistic model to estimate zooplankton grazing and P recycling and prey P quotas. The model was parameterized with the results from our field experiment and with prior information from size-based traits and zooplankton C:P using a Bayesian approach. Laboratory experiments for zooplankton P excretion were also performed to test the predictive accuracy of our model. 3. Our model, parameterized with the field experiment results, showed that copepods and cladocerans have contrasting effects on the microbial loop. D. chilense grazed mainly on picoplankton while B. gibbosa on nanoflagelates and algae. D. chilense reduced the biomass and increased P quota of picoplankton, and reduced the P quota of nanoflagellates. On the contrary, B. gibbosa released more P, increasing the picoplankton biomass and reducing the biomass of nanoflagellates, but increasing its P quota. 4. Based on our experimental and model results, copepods would favour higher P acquisition rates for cladocerans by releasing more P for picoplankton. On the other hand, cladocerans would have a mixed effect on the main food items of copepods by increasing P quotas of the strict osmotrophic algae but decreasing P quotas of nanoflagellates. 5. Our mechanistic model is useful to assess quantitatively key planktonic variables, which are usually difficult to measure in the field, such as zooplankton P excretion rates and microbial P quotas, by using more conspicuous variables such as biomass of the different microbial compartments and dissolved and particulate P concentrations.
Fil: Schenone, Luca. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Schenone, Luca. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Modenutti, Beatriz. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Modenutti, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Martyniuk, Nicolás. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Martyniuk, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Bastidas Navarro, Marcela. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Bastidas Navarro, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Laspoumaderes, Cecilia. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Laspoumaderes, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Balseiro, Esteban. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Balseiro, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fuente
Freshwater Biology
Materia
Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
Ciencias de la Tierra y Medio Ambiente
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
Repositorio Digital Institucional (UNCo)
Institución
Universidad Nacional del Comahue
OAI Identificador
oai:rdi.uncoma.edu.ar:uncomaid/16092
Acceder
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network_acronym_str RDIUNCO
repository_id_str 7108
network_name_str Repositorio Digital Institucional (UNCo)
spelling Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loopSchenone, LucaModenutti, BeatrizMartyniuk, NicolásBastidas Navarro, MarcelaLaspoumaderes, CeciliaBalseiro, EstebanBayesian approachPhosphorus quotaBacterivoryMixotrophic nanoflagellatesEcological stoichiometryhttps://purl.org/becyt/ford/1.5Ciencias de la Tierra y Medio Ambiente1. Pelagic microbial food webs are structured by zooplankton through grazing and nutrient recycling. Cladocerans and copepods are assumed to display different effects on the microbial loop by grazing on different prey sizes and releasing phosphorus (P) differentially. Here, we assessed this effect of differential zooplankton grazing and nutrient recycling on the microbial loop dynamics using both experimental and modelling approaches combined. 2. We performed field incubation experiments in an oligotrophic mountain lake (North-Patagonian Andes) using the natural microbial community and the two dominant zooplankton taxa: a cladoceran (Diaphanosoma chilense) and a copepod (Boeckella gibbosa). The effect of zooplankton grazing and nutrient recycling were assessed separately in different treatments with direct and indirect zooplankton presence, respectively. We built a mechanistic model to estimate zooplankton grazing and P recycling and prey P quotas. The model was parameterized with the results from our field experiment and with prior information from size-based traits and zooplankton C:P using a Bayesian approach. Laboratory experiments for zooplankton P excretion were also performed to test the predictive accuracy of our model. 3. Our model, parameterized with the field experiment results, showed that copepods and cladocerans have contrasting effects on the microbial loop. D. chilense grazed mainly on picoplankton while B. gibbosa on nanoflagelates and algae. D. chilense reduced the biomass and increased P quota of picoplankton, and reduced the P quota of nanoflagellates. On the contrary, B. gibbosa released more P, increasing the picoplankton biomass and reducing the biomass of nanoflagellates, but increasing its P quota. 4. Based on our experimental and model results, copepods would favour higher P acquisition rates for cladocerans by releasing more P for picoplankton. On the other hand, cladocerans would have a mixed effect on the main food items of copepods by increasing P quotas of the strict osmotrophic algae but decreasing P quotas of nanoflagellates. 5. Our mechanistic model is useful to assess quantitatively key planktonic variables, which are usually difficult to measure in the field, such as zooplankton P excretion rates and microbial P quotas, by using more conspicuous variables such as biomass of the different microbial compartments and dissolved and particulate P concentrations.Fil: Schenone, Luca. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Schenone, Luca. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Modenutti, Beatriz. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Modenutti, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Martyniuk, Nicolás. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Martyniuk, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Bastidas Navarro, Marcela. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Bastidas Navarro, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Laspoumaderes, Cecilia. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Laspoumaderes, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Balseiro, Esteban. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.Fil: Balseiro, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente2021-02-26info:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_ddb1info:ar-repo/semantics/conjuntoDeDatosinfo:eu-repo/semantics/dataSetapplication/ms-excelapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/octet-streamapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheetapplication/octet-streamapplication/octet-streamapplication/octet-streamhttp://rdi.uncoma.edu.ar/handle/uncomaid/16092Freshwater Biologyreponame:Repositorio Digital Institucional (UNCo)instname:Universidad Nacional del Comahueenghttps://onlinelibrary.wiley.com/doi/full/10.1111/fwb.13835ARGinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/2025-09-29T14:29:01Zoai:rdi.uncoma.edu.ar:uncomaid/16092instacron:UNCoInstitucionalhttp://rdi.uncoma.edu.ar/Universidad públicaNo correspondehttp://rdi.uncoma.edu.ar/oaimirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:71082025-09-29 14:29:02.124Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahuefalse
dc.title.none.fl_str_mv Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
title Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
spellingShingle Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
Schenone, Luca
Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
Ciencias de la Tierra y Medio Ambiente
title_short Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
title_full Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
title_fullStr Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
title_full_unstemmed Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
title_sort Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
dc.creator.none.fl_str_mv Schenone, Luca
Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
author Schenone, Luca
author_facet Schenone, Luca
Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
author_role author
author2 Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
Ciencias de la Tierra y Medio Ambiente
topic Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
Ciencias de la Tierra y Medio Ambiente
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
dc.description.none.fl_txt_mv 1. Pelagic microbial food webs are structured by zooplankton through grazing and nutrient recycling. Cladocerans and copepods are assumed to display different effects on the microbial loop by grazing on different prey sizes and releasing phosphorus (P) differentially. Here, we assessed this effect of differential zooplankton grazing and nutrient recycling on the microbial loop dynamics using both experimental and modelling approaches combined. 2. We performed field incubation experiments in an oligotrophic mountain lake (North-Patagonian Andes) using the natural microbial community and the two dominant zooplankton taxa: a cladoceran (Diaphanosoma chilense) and a copepod (Boeckella gibbosa). The effect of zooplankton grazing and nutrient recycling were assessed separately in different treatments with direct and indirect zooplankton presence, respectively. We built a mechanistic model to estimate zooplankton grazing and P recycling and prey P quotas. The model was parameterized with the results from our field experiment and with prior information from size-based traits and zooplankton C:P using a Bayesian approach. Laboratory experiments for zooplankton P excretion were also performed to test the predictive accuracy of our model. 3. Our model, parameterized with the field experiment results, showed that copepods and cladocerans have contrasting effects on the microbial loop. D. chilense grazed mainly on picoplankton while B. gibbosa on nanoflagelates and algae. D. chilense reduced the biomass and increased P quota of picoplankton, and reduced the P quota of nanoflagellates. On the contrary, B. gibbosa released more P, increasing the picoplankton biomass and reducing the biomass of nanoflagellates, but increasing its P quota. 4. Based on our experimental and model results, copepods would favour higher P acquisition rates for cladocerans by releasing more P for picoplankton. On the other hand, cladocerans would have a mixed effect on the main food items of copepods by increasing P quotas of the strict osmotrophic algae but decreasing P quotas of nanoflagellates. 5. Our mechanistic model is useful to assess quantitatively key planktonic variables, which are usually difficult to measure in the field, such as zooplankton P excretion rates and microbial P quotas, by using more conspicuous variables such as biomass of the different microbial compartments and dissolved and particulate P concentrations.
Fil: Schenone, Luca. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Schenone, Luca. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Modenutti, Beatriz. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Modenutti, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Martyniuk, Nicolás. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Martyniuk, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Bastidas Navarro, Marcela. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Bastidas Navarro, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Laspoumaderes, Cecilia. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Laspoumaderes, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Balseiro, Esteban. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina.
Fil: Balseiro, Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
description 1. Pelagic microbial food webs are structured by zooplankton through grazing and nutrient recycling. Cladocerans and copepods are assumed to display different effects on the microbial loop by grazing on different prey sizes and releasing phosphorus (P) differentially. Here, we assessed this effect of differential zooplankton grazing and nutrient recycling on the microbial loop dynamics using both experimental and modelling approaches combined. 2. We performed field incubation experiments in an oligotrophic mountain lake (North-Patagonian Andes) using the natural microbial community and the two dominant zooplankton taxa: a cladoceran (Diaphanosoma chilense) and a copepod (Boeckella gibbosa). The effect of zooplankton grazing and nutrient recycling were assessed separately in different treatments with direct and indirect zooplankton presence, respectively. We built a mechanistic model to estimate zooplankton grazing and P recycling and prey P quotas. The model was parameterized with the results from our field experiment and with prior information from size-based traits and zooplankton C:P using a Bayesian approach. Laboratory experiments for zooplankton P excretion were also performed to test the predictive accuracy of our model. 3. Our model, parameterized with the field experiment results, showed that copepods and cladocerans have contrasting effects on the microbial loop. D. chilense grazed mainly on picoplankton while B. gibbosa on nanoflagelates and algae. D. chilense reduced the biomass and increased P quota of picoplankton, and reduced the P quota of nanoflagellates. On the contrary, B. gibbosa released more P, increasing the picoplankton biomass and reducing the biomass of nanoflagellates, but increasing its P quota. 4. Based on our experimental and model results, copepods would favour higher P acquisition rates for cladocerans by releasing more P for picoplankton. On the other hand, cladocerans would have a mixed effect on the main food items of copepods by increasing P quotas of the strict osmotrophic algae but decreasing P quotas of nanoflagellates. 5. Our mechanistic model is useful to assess quantitatively key planktonic variables, which are usually difficult to measure in the field, such as zooplankton P excretion rates and microbial P quotas, by using more conspicuous variables such as biomass of the different microbial compartments and dissolved and particulate P concentrations.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-26
dc.type.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://onlinelibrary.wiley.com/doi/full/10.1111/fwb.13835
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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dc.coverage.none.fl_str_mv ARG
dc.publisher.none.fl_str_mv Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente
publisher.none.fl_str_mv Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente
dc.source.none.fl_str_mv Freshwater Biology
reponame:Repositorio Digital Institucional (UNCo)
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reponame_str Repositorio Digital Institucional (UNCo)
collection Repositorio Digital Institucional (UNCo)
instname_str Universidad Nacional del Comahue
repository.name.fl_str_mv Repositorio Digital Institucional (UNCo) - Universidad Nacional del Comahue
repository.mail.fl_str_mv mirtha.mateo@biblioteca.uncoma.edu.ar; adriana.acuna@biblioteca.uncoma.edu.ar
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