Improved methodology to quantify the temperature sensitivity of the soil heterotrophic respiration in croplands

Agro-ecosystems; Heterotrophic respiration; Modeling; Q10; Soil CO2 efflux; Carbon dioxide; Forecasting; Models; Temperature distribution; Agro ecosystems; Coefficient of determination; Q<sub>10</sub>; Semi-mechanistic models; Soil CO; Temperature dependence; Temperature sensitivity; Soils; Triticum aestivum

Abstract :

[en] Soil heterotrophic respiration (RH) is usually modeled using simple temperature dependence equations where the temperature sensitivity of RH could vary for different soils and climate conditions. The temperature sensitivity is expressed as a function of the base rate of heterotrophic respiration (RH − 0) and the respiration change rate over a 10 °C temperature shift (Q10). A methodology was developed to better quantify these two parameters, and was validated using seven contrasting year-site soil respiration datasets collected in wheat fields. The data were acquired using soil respiration chambers and eddy flux towers in three mid-latitude European sites and one North American site. The first step consisted in parameterizing and initializing a semi-mechanistic process-based model then validating the prediction performance using 2/3 of the datasets. The coefficient of determinations between the predictions and the observations of daily soil respiration (Rs) was 0.71 and was 0.73 for its heterotrophic component (RH). The second step consisted in using the daily semi-mechanistic model predictions of RH for each growing season and site to calibrate a simple empirical model describing RH response to soil temperature and water content. It was shown with the contrasting years-sites that coherent results were only obtained when a common average Q10 value was determined prior to fit the base rate of heterotrophic respiration coefficient. Using a common Q10 value of 2.2 provided more stable RH − 0 for each site over time. It reflected the strong relationship between the RH − 0 and the slow decomposing C in the first 30-cm soil layer. The simple empirical model, which was validated using 1/3 of the data, explained between 42% and 92% of the variability of RH over the different sites. © 2017 Elsevier B.V.

Disciplines :

Agriculture & agronomy

Author, co-author :

Delogu, E.; Centre d'Etudes Spatiales de la BIOsphère, CESBIO, Université de Toulouse, CNRS/UPS/CNES/IRD, 18 Av. Édouard Belin, Toulouse, France

Le Dantec, V.; Centre d'Etudes Spatiales de la BIOsphère, CESBIO, Université de Toulouse, CNRS/UPS/CNES/IRD, 18 Av. Édouard Belin, Toulouse, France

Mordelet, P.; Centre d'Etudes Spatiales de la BIOsphère, CESBIO, Université de Toulouse, CNRS/UPS/CNES/IRD, 18 Av. Édouard Belin, Toulouse, France

Ceschia, E.; Centre d'Etudes Spatiales de la BIOsphère, CESBIO, Université de Toulouse, CNRS/UPS/CNES/IRD, 18 Av. Édouard Belin, Toulouse, France

Aubinet, Marc ; Université de Liège - ULiège > Ingénierie des biosystèmes (Biose) > Biosystems Dynamics and Exchanges

Buysse, P.; Unit of Biosystem Physics, Gembloux Agro Bio-Tech (GxABT), University of Liège, Belgium

Pattey, E.; Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada

Language :

English

Title :

Improved methodology to quantify the temperature sensitivity of the soil heterotrophic respiration in croplands

Publication date :

2017

Journal title :

Geoderma

ISSN :

0016-7061

eISSN :

1872-6259

Publisher :

Elsevier B.V.

Volume :

296

Pages :

18-29

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 12 March 2019

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