NDLI: Contribution of soil moisture to seasonal and annual variations of soil CO$_{2}$ efflux in a humid cool-temperate oak-birch forest in central Japan

Content Provider	Springer Nature Link
Author	Kishimoto Mo, Ayaka Wenhong Yonemura, Seiichiro Uchida, Masaki Kondo, Miyuki Murayama, Shohei Koizumi, Hiroshi
Copyright Year	2015
Abstract	To quantify the contribution of soil moisture to seasonal and annual variations in soil CO$_{2}$ efflux in a cool-humid deciduous broadleaf forest, we measured soil CO$_{2}$ efflux during the snow-free seasons of 2005–2008 using an automated chamber technique. This worked much better than manual chambers employing the same steady-state through-flow method. Soil CO$_{2}$ efflux (g C m$^{−2 }$period$^{−1}$) during the snow-free season ranged from 979.8 ± 49.0 in 2005 to 1131.2 ± 56.6 in 2008 with a coefficient variation of 6.4 % among the 4 years. We established two-parameter (soil temperature and moisture) empirical models, finding that while soil temperature and moisture explained 69–86 % and 10–13 % of the temporal variability, respectively. Soil moisture had the effect of modifying the temporal variability of soil CO$_{2}$ efflux, particularly during summer and early fall after episodic rainfall events; greater soil moisture enhanced soil CO$_{2}$ efflux in the surface soil layers. High soil moisture conditions did not suppress soil CO$_{2}$ efflux, leading to a positive correlation between normalized soil CO$_{2}$ efflux (ratio of the measured to predicted efflux using a temperature-dependent Q $_{10}$ function) and soil moisture. Therefore, enhanced daily soil CO$_{2}$ efflux following heavy rainfall events could significantly reduce net ecosystem exchange (i.e. daily net ecosystem production) by 32 % on some days. Our results highlight the importance of precisely estimating the response of soil CO$_{2}$ efflux to changes in soil moisture following rainfall events when modeling seasonal carbon dynamics in response to climate change, even in humid monsoon regions.
Starting Page	311
Ending Page	325
Page Count	15
File Format	PDF
ISSN	09123814
Journal	Ecological Research
Volume Number	30
Issue Number	2
e-ISSN	14401703
Language	English
Publisher	Springer Japan
Publisher Date	2015-03-05
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Automated soil respiration chambers Empirical model Open-flow IRGA method Rainfall Soil respiration Ecology Plant Sciences Zoology Evolutionary Biology Behavioral Sciences Forestry
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics

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