Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems

Dissolved organic matter (DOM) dynamics influence aquatic ecosystem metabolism with ecological and biogeochemical effects. During microbial degradation, certain DOM molecules accumulate in the environments constituting the residual refractory pool that has a key role in the global carbon cycle by se...

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Detalles Bibliográficos
Autores principales: Bastidas Navarro, Marcela, Schenone, Luca, Martyniuk, Nicolás, Vega, Evelyn, Balseiro, Esteban, Modenutti, Beatriz
Formato: conjunto de datos other acceptedVersion
Lenguaje:Inglés
Publicado: Universidad Nacional del Comahue 2020
Materias:
Bayesian
PARAFAC
Microbial respiration
Dissolved organic matter
Modeling
Forcasting
https://purl.org/becyt/ford/1.5
Ciencias de la tierra y Medio ambiente
Acceso en línea:http://rdi.uncoma.edu.ar/handle/uncomaid/15901
Aporte de:
Repositorio Institucional UNCo de Universidad Nacional del Comahue
id I22-R178-uncomaid-15901
record_format dspace
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-178
collection Repositorio Institucional UNCo
language Inglés
topic Bayesian
PARAFAC
Microbial respiration
Dissolved organic matter
Modeling
Forcasting
https://purl.org/becyt/ford/1.5
Ciencias de la tierra y Medio ambiente
spellingShingle Bayesian
PARAFAC
Microbial respiration
Dissolved organic matter
Modeling
Forcasting
https://purl.org/becyt/ford/1.5
Ciencias de la tierra y Medio ambiente
Bastidas Navarro, Marcela
Schenone, Luca
Martyniuk, Nicolás
Vega, Evelyn
Balseiro, Esteban
Modenutti, Beatriz
Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
topic_facet Bayesian
PARAFAC
Microbial respiration
Dissolved organic matter
Modeling
Forcasting
https://purl.org/becyt/ford/1.5
Ciencias de la tierra y Medio ambiente
description Dissolved organic matter (DOM) dynamics influence aquatic ecosystem metabolism with ecological and biogeochemical effects. During microbial degradation, certain DOM molecules accumulate in the environments constituting the residual refractory pool that has a key role in the global carbon cycle by sequestering carbon in lakes and oceans. The present study aims to model the factors driving bacterial C-consumption, and thus predicting the potential residual carbon accumulation. We developed mechanistic models to represent bacterial C-consumption, considering the contribution of DOM quality and P and N concentrations in the total carbon pool. Based on 82 different environments we establish DOM components and nutrient concentration for deep lakes, shallow lakes, high altitude lakes, low-order streams, and wetlands from North-Andean Patagonian glacial lake district (around 41°S). We applied Bayesian methods to estimate model parameters from laboratory C-lability experiments performed in 29 environments. We tested the predictive accuracy of our models with an external dataset consisting of C-lability experiments with natural lake water enriched with organic matter from different sources. We found a model that performed excellently in both, fit to training data and prediction to external experiments. Based on the selected model, an increase in P concentration stimulates C-consumption, and an increase in the proportion of DOM protein-like compounds reduces the amount of residual C. Based on the predictive accuracy, we demonstrated that our model is very useful to anticipate C accumulation due to changes in the inputs to water bodies.
format conjunto de datos
other
acceptedVersion
author Bastidas Navarro, Marcela
Schenone, Luca
Martyniuk, Nicolás
Vega, Evelyn
Balseiro, Esteban
Modenutti, Beatriz
author_facet Bastidas Navarro, Marcela
Schenone, Luca
Martyniuk, Nicolás
Vega, Evelyn
Balseiro, Esteban
Modenutti, Beatriz
author_sort Bastidas Navarro, Marcela
title Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
title_short Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
title_full Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
title_fullStr Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
title_full_unstemmed Predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
title_sort predicting dissolved organic matter lability and carbon accumulation in temperate freshwater ecosystems
publisher Universidad Nacional del Comahue
publishDate 2020
url http://rdi.uncoma.edu.ar/handle/uncomaid/15901
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