Without accurate data on soil heterotrophic respiration ( R h ), assessments of soil carbon (C) sequestration rate and C balance are challenging to produce. Accordingly, it is essential to determine the contribution of the different sources of the total soil CO 2 efflux ( R s ) in different ecosystems, but to date, there are still many uncertainties and unknowns regarding the soil respiration partitioning procedures currently available. This study compared the suitability and relative accuracy of five different R s partitioning methods in a subtropical forest: (1) regression between root biomass and CO 2 efflux, (2) lab incubations with minimally disturbed soil microcosm cores, (3) root exclusion bags with hand-sorted roots, (4) root exclusion bags with intact soil blocks and (5) soil δ 13 C–CO 2 natural abundance. The relationship between R h and soil moisture and temperature was also investigated. A qualitative evaluation table of the partition methods with five performance parameters was produced. The R s was measured weekly from 3 February to 19 April 2017 and found to average 6.1 ± 0.3 MgCha-1yr-1. During this period, the R h measured with the in situ mesh bags with intact soil blocks and hand-sorted roots was estimated to contribute 49 ± 7 and 79 ± 3 % of R s , respectively. The R h percentages estimated with the root biomass regression, microcosm incubation and δ 13 C–CO 2 natural abundance were 54 ± 41, 8–17 and 61 ± 39 %, respectively. Overall, no systematically superior or inferior R s partition method was found. The paper discusses the strengths and weaknesses of each technique with the conclusion that combining two or more methods optimizes R h assessment reliability.
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Comeau et al. (2018) studied this question.
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