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Soil Carbon Changes Comparing Flux Monitoring and Mass Balance in a Box Lysimeter Experiment
Author(s) -
Nay S. M.,
Bormann B. T.
Publication year - 2000
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2000.643943x
Subject(s) - lysimeter , environmental science , loam , gas analyzer , soil respiration , soil water , ecosystem respiration , flux (metallurgy) , soil science , atmospheric sciences , hydrology (agriculture) , ecosystem , chemistry , environmental chemistry , primary production , ecology , geotechnical engineering , organic chemistry , biology , engineering , geology
Direct measures of soil‐surface respiration are needed to evaluate belowground biological processes, forest productivity, and ecosystem responses to global change. Although infra‐red gas analyzer (IRGA) methods track reference CO 2 flows in lab studies, questions remain for extrapolating IRGA methods to field conditions. We constructed 10 box lysimeters with homogenized mixtures of sandy loam and cattle manure and kept them free of plants to create a range of CO 2 fluxes. Infra‐red gas analyzer measurements, applied biweekly, were then compared to mass balance–based measures of changes in soil C over 8 mo. The CO 2 fluxes measured with IRGA were not significantly different ( P < 0.05) from the mass balance measure in 9 of the 10 boxes. The only statistically significant difference was in the lysimeter with the highest initial C content; this box had elevated soil temperatures early in the trial, suggesting a composting effect that may have interfered with IRGA measures. Variations in the mass balance estimates were higher than expected, demonstrating how difficult establishing a true reference in field studies is. We conclude that fluxes of CO 2 from soils can be monitored with an IRGA‐based chamber system in the field to produce reliable estimates of cumulative C loss. Such field measures will likely be much more variable than laboratory measures, however, and thus will require extensive sampling.