Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.

Temperate grassland soils store significant amounts of carbon (C). Estimating how much livestock grazing and manuring can influence grassland soil organic carbon (SOC) is key to improve greenhouse gas grassland budgets. The Rothamsted Carbon (RothC) model, although originally developed and parameter...

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Autores principales:	Asma Jebari, Jorge Álvaro-Fuentes, Guillermo Pardo, María Almagro, Agustin Del Prado
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d39f52cd02b40bd806cf9a348d1cead
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spelling	oai:doaj.org-article:7d39f52cd02b40bd806cf9a348d1cead2021-12-02T20:17:42ZEstimating soil organic carbon changes in managed temperate moist grasslands with RothC.1932-620310.1371/journal.pone.0256219https://doaj.org/article/7d39f52cd02b40bd806cf9a348d1cead2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256219https://doaj.org/toc/1932-6203Temperate grassland soils store significant amounts of carbon (C). Estimating how much livestock grazing and manuring can influence grassland soil organic carbon (SOC) is key to improve greenhouse gas grassland budgets. The Rothamsted Carbon (RothC) model, although originally developed and parameterized to model the turnover of organic C in arable topsoil, has been widely used, with varied success, to estimate SOC changes in grassland under different climates, soils, and management conditions. In this paper, we hypothesise that RothC-based SOC predictions in managed grasslands under temperate moist climatic conditions can be improved by incorporating small modifications to the model based on existing field data from diverse experimental locations in Europe. For this, we described and evaluated changes at the level of: (1) the soil water function of RothC, (2) entry pools accounting for the degradability of the exogenous organic matter (EOM) applied (e.g., ruminant excreta), (3) the month-on-month change in the quality of C inputs coming from plant residues (i.e above-, below-ground plant residue and rhizodeposits), and (4) the livestock trampling effect (i.e., poaching damage) as a common problem in areas with higher annual precipitation. In order to evaluate the potential utility of these changes, we performed a simple sensitivity analysis and tested the model predictions against averaged data from four grassland experiments in Europe. Our evaluation showed that the default model's performance was 78% and whereas some of the modifications seemed to improve RothC SOC predictions (model performance of 95% and 86% for soil water function and plant residues, respectively), others did not lead to any/or almost any improvement (model performance of 80 and 46% for the change in the C input quality and livestock trampling, respectively). We concluded that, whereas adding more complexity to the RothC model by adding the livestock trampling would actually not improve the model, adding the modified soil water function and plant residue components, and at a lesser extent residues quality, could improve predictability of the RothC in managed grasslands under temperate moist climatic conditions.Asma JebariJorge Álvaro-FuentesGuillermo PardoMaría AlmagroAgustin Del PradoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256219 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Asma Jebari Jorge Álvaro-Fuentes Guillermo Pardo María Almagro Agustin Del Prado Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
description	Temperate grassland soils store significant amounts of carbon (C). Estimating how much livestock grazing and manuring can influence grassland soil organic carbon (SOC) is key to improve greenhouse gas grassland budgets. The Rothamsted Carbon (RothC) model, although originally developed and parameterized to model the turnover of organic C in arable topsoil, has been widely used, with varied success, to estimate SOC changes in grassland under different climates, soils, and management conditions. In this paper, we hypothesise that RothC-based SOC predictions in managed grasslands under temperate moist climatic conditions can be improved by incorporating small modifications to the model based on existing field data from diverse experimental locations in Europe. For this, we described and evaluated changes at the level of: (1) the soil water function of RothC, (2) entry pools accounting for the degradability of the exogenous organic matter (EOM) applied (e.g., ruminant excreta), (3) the month-on-month change in the quality of C inputs coming from plant residues (i.e above-, below-ground plant residue and rhizodeposits), and (4) the livestock trampling effect (i.e., poaching damage) as a common problem in areas with higher annual precipitation. In order to evaluate the potential utility of these changes, we performed a simple sensitivity analysis and tested the model predictions against averaged data from four grassland experiments in Europe. Our evaluation showed that the default model's performance was 78% and whereas some of the modifications seemed to improve RothC SOC predictions (model performance of 95% and 86% for soil water function and plant residues, respectively), others did not lead to any/or almost any improvement (model performance of 80 and 46% for the change in the C input quality and livestock trampling, respectively). We concluded that, whereas adding more complexity to the RothC model by adding the livestock trampling would actually not improve the model, adding the modified soil water function and plant residue components, and at a lesser extent residues quality, could improve predictability of the RothC in managed grasslands under temperate moist climatic conditions.
format	article
author	Asma Jebari Jorge Álvaro-Fuentes Guillermo Pardo María Almagro Agustin Del Prado
author_facet	Asma Jebari Jorge Álvaro-Fuentes Guillermo Pardo María Almagro Agustin Del Prado
author_sort	Asma Jebari
title	Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
title_short	Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
title_full	Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
title_fullStr	Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
title_full_unstemmed	Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.
title_sort	estimating soil organic carbon changes in managed temperate moist grasslands with rothc.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/7d39f52cd02b40bd806cf9a348d1cead
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Estimating soil organic carbon changes in managed temperate moist grasslands with RothC.

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