Kätterer, Thomas
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Research article2012Peer reviewedOpen access
Moyano FE, Vasilyeva N, Bouckaert L, Cook F, Craine J, Curiel Yuste J, Don A, Epron D, Formanek P, Franzluebbers A, Ilstedt U, Kätterer Thomas, Orchard V, Reichstein M, Rey A, Ruamps L, Subke J-A, Thomsen IK, Chenu C
Soil moisture is of primary importance for predicting the evolution of soil carbon stocks and fluxes, both because it strongly controls organic matter decomposition and because it is predicted to change at global scales in the following decades. However, the soil functions used to model the heterotrophic respiration response to moisture have limited empirical support and introduce an uncertainty of at least 4 % in global soil carbon stock predictions by 2100. The necessity of improving the representation of this relationship in models has been highlighted in recent studies. Here we present a datadriven analysis of soil moisture respiration relations based on 90 soils. With the use of linear models we show how the relationship between soil heterotrophic respiration and different measures of soil moisture is consistently affected by soil properties. The empirical models derived include main effects and moisture interaction effects of soil texture, organic carbon content and bulk density. When compared to other functions currently used in different soil biogeochemical models, we observe that our results can correct biases and reconcile differences within and between such functions. Ultimately, accurate predictions of the response of soil carbon to future climate scenarios will require the integration of soildependent moisture respiration functions coupled with realistic representations of soil water dynamics.
Biogeosciences
2012, Volume: 9, number: 3, pages: 1173–1182
SDG13 Climate action
Agricultural Science
Environmental Sciences related to Agriculture and Land-use
DOI: https://doi.org/10.5194/bg-9-1173-2012
https://res.slu.se/id/publ/38201