Sammanfattning
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.
| Originalspråk | Engelska |
|---|---|
| Sidor (från-till) | 1173–1182 |
| Antal sidor | 10 |
| Tidskrift | Biogeosciences |
| Volym | 9 |
| Nummer | 3 |
| DOI | |
| Status | Publicerad - 2012 |
FN:s SDG:er
Detta resultat bidrar till följande hållbara utvecklingsmål:
-
SDG 13 – Bekämpa klimatförändringarna
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