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Description
  • 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 data-driven 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 soil-dependent moisture-respiration functions coupled with realistic representations of soil water dynamics.
  • 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 data-driven 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 soil-dependent moisture-respiration functions coupled with realistic representations of soil water dynamics. (en)
Title
  • The moisture response of soil heterotrophic respiration: interaction with soil properties
  • The moisture response of soil heterotrophic respiration: interaction with soil properties (en)
skos:prefLabel
  • The moisture response of soil heterotrophic respiration: interaction with soil properties
  • The moisture response of soil heterotrophic respiration: interaction with soil properties (en)
skos:notation
  • RIV/62156489:43410/12:00185812!RIV12-MSM-43410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6215648902)
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 151510
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43410/12:00185812
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • soil properties; Soil respiration; carbon; global changes (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [E098EF46AC11]
http://linked.open...i/riv/nazevZdroje
  • Biogeosciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Formánek, Pavel
  • Bouckaert, L.
  • Chenu, C.
  • Cook, F.
  • Craine, J.
  • Curiel Yuste, J.
  • Don, A.
  • Epron, D.
  • Franzluebbers, A.
  • Ilstedt, U.
  • Kätterer, T.
  • Moyano, F E
  • Orchard, V.
  • Reichstein, M.
  • Rey, A.
  • Ruamps, L.
  • Subke, J A
  • Thomsen, I K
  • Vasilyeva, N.
http://linked.open...n/vavai/riv/zamer
issn
  • 1726-4170
number of pages
http://localhost/t...ganizacniJednotka
  • 43410
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