Precipitation determines the magnitude and direction of interannual responses of soil respiration to experimental warming
Background and aims Soil respiration (R s ) is expected to positively feedback to climate warming. The strength of this feedback is uncertain as numerous environmental factors, such as precipitation and soil moisture, can moderate the warming response of R s . Methods We combined seven-year R s meas...
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Published in | Plant and soil Vol. 458; no. 1/2; pp. 75 - 91 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer Science + Business Media
01.01.2021
Springer International Publishing Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Background and aims
Soil respiration (R
s
) is expected to positively feedback to climate warming. The strength of this feedback is uncertain as numerous environmental factors, such as precipitation and soil moisture, can moderate the warming response of R
s
.
Methods
We combined seven-year R
s
measurements in a warming experiment in the Tibetan alpine grassland with a meta-analysis on grassland warming experiments globally to investigate how precipitation and soil moisture influences the warming response of R
s
. We further analyzed the warming responses of heterotrophic (R
h
) and autotrophic (R
a
) components of R
s
.
Results
Warming enhanced growing-season R
s
in the wet years but decreased it in the dry years in the field experiment at the Tibetan grassland. Precipitation modulated the warming responses of growing-season R
s
via R
h
, but not R
a
. Consistent with the field experiment, a positive relationship between precipitation and the warming response of growing-season R
s
was also observed in the global-scale meta-analysis on grassland warming experiments.
Conclusions
Precipitation influences the warming effects on R
s
and could result in variation in warming response of R
s
across years and experimental systems. Empirical functions provided by this study could be used to reduce the uncertainty in predicting R
s
in a warmer future. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0032-079X 1573-5036 |
DOI: | 10.1007/s11104-020-04438-y |