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000021231 0247_ $$2DOI$$a10.1007/s10533-011-9583-1
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000021231 084__ $$2WoS$$aEnvironmental Sciences
000021231 084__ $$2WoS$$aGeosciences, Multidisciplinary
000021231 1001_ $$0P:(DE-HGF)0$$aBauer, J.$$b0
000021231 245__ $$aInverse determination of heterotrophic soil respiration response to temperature and water content under field conditions
000021231 260__ $$aNew York, NY$$bJSTOR$$c2012
000021231 300__ $$a119-134
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000021231 440_0 $$025903$$aBiogeochemistry$$v108$$y1
000021231 500__ $$3POF3_Assignment on 2016-02-29
000021231 500__ $$aThis research was supported by the German Research Foundation DFG (Transregional Collaborative Research Centre 32-Patterns in Soil-Vegetation-Atmosphere systems: monitoring, modelling and data assimilation), TERENO (Terrestrial Environmental Observatories) of the Helmholtz Gemeinschaft and by the Hessian initiative for the development of scientific and economic excellence (LOEWE) at the Biodiversity and Climate Research Centre (BiK-F), Frankfurt/Main. We thank Axel Knaps and Rainer Harms for providing the climate data. The organic carbon content of the soil was analysed by the Central Division of Analytical Chemistry at the Forschungszentrum Julich GmbH. We would like to thank Claudia Walraf and Stefan Masjoshustmann for the physical fractionation of the soil samples and Ludger Bornemann (Institute of Crop Science and Resource Conservation-Division of Soil Science, University of Bonn) for the analysis of black carbon. We are grateful to Horst Hardelauf for modifications of the model source code. Furthermore, we thank three anonymous reviewers for their helpful advices.
000021231 520__ $$aHeterotrophic soil respiration is an important flux within the global carbon cycle. Exact knowledge of the response functions for soil temperature and soil water content is crucial for a reliable prediction of soil carbon turnover. The classical statistical approach for the in situ determination of the temperature response (Q(10) or activation energy) of field soil respiration has been criticised for neglecting confounding factors, such as spatial and temporal changes in soil water content and soil organic matter. The aim of this paper is to evaluate an alternative method to estimate the temperature and soil water content response of heterotrophic soil respiration. The new method relies on inverse parameter estimation using a 1-dimensional CO2 transport and carbon turnover model. Inversion results showed that different formulations of the temperature response function resulted in estimated response factors that hardly deviated over the entire range of soil water content and for temperature below 25A degrees C. For higher temperatures, the temperature response was highly uncertain due to the infrequent occurrence of soil temperatures above 25A degrees C. The temperature sensitivity obtained using inverse modelling was within the range of temperature sensitivities estimated from statistical processing of the data. It was concluded that inverse parameter estimation is a promising tool for the determination of the temperature and soil water content response of soil respiration. Future synthetic model studies should investigate to what extent the inverse modelling approach can disentangle confounding factors that typically affect statistical estimates of the sensitivity of soil respiration to temperature and soil water content.
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000021231 65320 $$2Author$$aHeterotrophic soil respiration
000021231 65320 $$2Author$$aTemperature sensitivity
000021231 65320 $$2Author$$aSoil water content sensitivity
000021231 65320 $$2Author$$aInverse parameter estimation
000021231 65320 $$2Author$$aSOILCO2/RothC
000021231 65320 $$2Author$$aSCE algorithm
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000021231 7001_ $$0P:(DE-Juel1)VDB98588$$aWeihermueller, L.$$b1$$uFZJ
000021231 7001_ $$0P:(DE-Juel1)129472$$aHuisman, J.A.$$b2$$uFZJ
000021231 7001_ $$0P:(DE-Juel1)129469$$aHerbst, M.$$b3$$uFZJ
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000021231 7001_ $$0P:(DE-Juel1)VDB100855$$aSequaris, J.M.$$b5$$uFZJ
000021231 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b6$$uFZJ
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000021231 8567_ $$uhttp://dx.doi.org/10.1007/s10533-011-9583-1
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