Three sources of CO2 efflux from soil partitioned by13C natural abundance in an incubation study

2005 ◽  
Vol 19 (11) ◽  
pp. 1417-1423 ◽  
Author(s):  
Yakov Kuzyakov ◽  
Roland Bol
Keyword(s):  
Natural Abundance ◽  
Co2 Efflux ◽  
Incubation Study ◽  
Sources Of Co2

scholarly journals Separation of soil respiration; a site-specific comparison of partition methods

2018 ◽  
Author(s):  
Louis-Pierre Comeau ◽  
Derrick Y. F. Lai ◽  
Jane Jinglan Cui ◽  
Jenny Farmer
Keyword(s):  
Soil Respiration ◽  
Qualitative Evaluation ◽  
C Sequestration ◽  
Natural Abundance ◽  
Co2 Efflux ◽  
Root Mass ◽  
Disturbed Soil ◽  
Partition Method ◽  
Intact Soil ◽  
Root Exclusion

Abstract. Without accurate data on soil heterotrophic respiration (Rh), 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 CO2 efflux (Rs) in different ecosystems, but to date, there are still many uncertainties and unknown regarding the soil respiration partitioning procedures currently available. This study compared the suitability and accuracy of five different Rh/Rs partitioning methods in a subtropical forest: (1) regression between root mass and root derived CO2; (2) root exclusion bags with intact soil blocks; (3) root exclusion bags with hand-sorted roots; (4) lab incubations with minimally disturbed soil microcosm cores; and (5) soil δ13C-CO2 natural abundance. The relationship between Rh and soil moisture and temperature was also investigated. A qualitative evaluation table of the partition methods with five performance parameters was produced. The Rs was measured weekly from February 3rd to April 19th 2017 and found to average 6.1 ± 0.3 Mg C ha−1 y−1. During this period, the Rh measured with the in-situ mesh bags with intact soil blocks and hand-sorted roots were estimated to contribute 49 ± 7 % and 79 ± 3 % of Rs respectively. The Rh percentage estimated with the root mass regression, microcosm incubation and δ13C-CO2 natural abundance were 54 ± 41 %, 8–17 % and 61 ± 39 % respectively. Overall, no systematically superior or inferior Rh/Rs partition method was found. The paper discusses the strengths and weaknesses of each technique with the conclusion that combining two or more methods optimizes Rh assessment reliability.

scholarly journals Separation of soil respiration: a site-specific comparison of partition methods

SOIL ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 141-152 ◽  
Author(s):  
Louis-Pierre Comeau ◽  
Derrick Y. F. Lai ◽  
Jane Jinglan Cui ◽  
Jenny Farmer
Keyword(s):  
Soil Respiration ◽  
Root Biomass ◽  
Qualitative Evaluation ◽  
C Sequestration ◽  
Natural Abundance ◽  
Co2 Efflux ◽  
Disturbed Soil ◽  
Partition Method ◽  
Intact Soil ◽  
Root Exclusion

Abstract. Without accurate data on soil heterotrophic respiration (Rh), 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 CO2 efflux (Rs) 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 Rs partitioning methods in a subtropical forest: (1) regression between root biomass and CO2 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 δ13C–CO2 natural abundance. The relationship between Rh and soil moisture and temperature was also investigated. A qualitative evaluation table of the partition methods with five performance parameters was produced. The Rs 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 Rh 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 Rs, respectively. The Rh percentages estimated with the root biomass regression, microcosm incubation and δ13C–CO2 natural abundance were 54 ± 41, 8–17 and 61 ± 39 %, respectively. Overall, no systematically superior or inferior Rs partition method was found. The paper discusses the strengths and weaknesses of each technique with the conclusion that combining two or more methods optimizes Rh assessment reliability.

scholarly journals Using isotope labeling to partition sources of CO2 efflux in newly established mangrove seedlings

2017 ◽  
Vol 63 (2) ◽  
pp. 731-740 ◽  
Author(s):  
Xiaoguang Ouyang ◽  
Shing Yip Lee ◽  
Rod M. Connolly
Keyword(s):  
Isotope Labeling ◽  
Co2 Efflux ◽  
Mangrove Seedlings ◽  
Sources Of Co2
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