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

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 o...

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Autores principales: Schenone, Luca, Modenutti, Beatriz, Martyniuk, Nicolás, Bastidas Navarro, Marcela, Laspoumaderes, Cecilia, Balseiro, Esteban
Formato: conjunto de datos other acceptedVersion
Lenguaje:Inglés
Publicado: Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente 2021
Materias:
Acceso en línea:http://rdi.uncoma.edu.ar/handle/uncomaid/16092
Aporte de:
id I22-R178-uncomaid-16092
record_format dspace
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-178
collection Repositorio Institucional UNCo
language Inglés
topic Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
https://purl.org/becyt/ford/1.5
Ciencias de la Tierra y Medio Ambiente
spellingShingle Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
https://purl.org/becyt/ford/1.5
Ciencias de la Tierra y Medio Ambiente
Schenone, Luca
Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
topic_facet Bayesian approach
Phosphorus quota
Bacterivory
Mixotrophic nanoflagellates
Ecological stoichiometry
https://purl.org/becyt/ford/1.5
Ciencias de la Tierra y Medio Ambiente
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.
format conjunto de datos
other
acceptedVersion
author Schenone, Luca
Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
author_facet Schenone, Luca
Modenutti, Beatriz
Martyniuk, Nicolás
Bastidas Navarro, Marcela
Laspoumaderes, Cecilia
Balseiro, Esteban
author_sort Schenone, Luca
title Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop
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
publisher Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente
publishDate 2021
url http://rdi.uncoma.edu.ar/handle/uncomaid/16092
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spelling I22-R178-uncomaid-160922023-03-28T13:40:26Z Modelling key variables for understanding the effects of grazing and nutrient recycling by zooplankton on the freshwater microbial loop Schenone, Luca Modenutti, Beatriz Martyniuk, Nicolás Bastidas Navarro, Marcela Laspoumaderes, Cecilia Balseiro, Esteban Bayesian approach Phosphorus quota Bacterivory Mixotrophic nanoflagellates Ecological stoichiometry https://purl.org/becyt/ford/1.5 Ciencias de la Tierra y Medio Ambiente 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. 2021-02-26 2021-02-25T13:52:10Z 2021-02-25T13:52:10Z conjunto de datos other acceptedVersion http://rdi.uncoma.edu.ar/handle/uncomaid/16092 eng https://onlinelibrary.wiley.com/doi/full/10.1111/fwb.13835 Atribución-NoComercial-CompartirIgual 2.5 Argentina https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ application/ms-excel application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/octet-stream application/vnd.openxmlformats-officedocument.spreadsheetml.sheet application/octet-stream application/octet-stream application/octet-stream ARG Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente Freshwater Biology