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Looking deeper into the soil: biophysical controls and seasonal lags of soil CO2production and efflux

Authors :
Michael F. Allen
Dennis D. Baldocchi
Jorge Curiel Yuste
Takashi Hirano
Jukka Pumpanen
Rachhpal S. Jassal
Rodrigo Vargas
Michael Bahn
T. Andrew Black
Scott L. Collins
Jianwu Tang
Source :
Ecological Applications. 20:1569-1582
Publication Year :
2010
Publisher :
Wiley, 2010.

Abstract

We seek to understand how biophysical factors such as soil temperature (Ts), soil moisture (theta), and gross primary production (GPP) influence CO2 fluxes across terrestrial ecosystems. Recent advancements in automated measurements and remote-sensing approaches have provided time series in which lags and relationships among variables can be explored. The purpose of this study is to present new applications of continuous measurements of soil CO2 efflux (F0) and soil CO2 concentrations measurements. Here we explore how variation in Ts, theta, and GPP (derived from NASA's moderate-resolution imaging spectroradiometer [MODIS]) influence F0 and soil CO2 production (Ps). We focused on seasonal variation and used continuous measurements at a daily timescale across four vegetation types at 13 study sites to quantify: (1) differences in seasonal lags between soil CO2 fluxes and Ts, theta, and GPP and (2) interactions and relationships between CO2 fluxes with Ts, theta, and GPP. Mean annual Ts did not explain annual F0 and Ps among vegetation types, but GPP explained 73% and 30% of the variation, respectively. We found evidence that lags between soil CO2 fluxes and Ts or GPP provide insights into the role of plant phenology and information relevant about possible timing of controls of autotrophic and heterotrophic processes. The influences of biophysical factors that regulate daily F0 and Ps are different among vegetation types, but GPP is a dominant variable for explaining soil CO2 fluxes. The emergence of long-term automated soil CO2 flux measurement networks provides a unique opportunity for extended investigations into F0 and Ps processes in the near future.

Details

ISSN :
10510761
Volume :
20
Database :
OpenAIRE
Journal :
Ecological Applications
Accession number :
edsair.doi.dedup.....6d00f0b806595a4bcf9a76d023814c28
Full Text :
https://doi.org/10.1890/09-0693.1