Mineralization of low molecular weight carbon substrates in soil solution under laboratory and field conditions

被引:62
作者
Glanville, H. [1 ]
Rousk, J. [1 ,2 ]
Golyshin, P. [3 ]
Jones, D. L. [1 ]
机构
[1] Bangor Univ, Sch Environm Nat Resources & Geog, Bangor LL57 2UW, Gwynedd, Wales
[2] Lund Univ, Dept Biol, S-22362 Lund, Sweden
[3] Bangor Univ, Sch Biol Sci, Bangor LL57 2UW, Gwynedd, Wales
基金
瑞典研究理事会; 英国自然环境研究理事会;
关键词
Decomposition; Dissolved organic carbon; DOC; SOM; Turnover rates; LIMITING BACTERIAL-GROWTH; FOREST SOILS; TURNOVER; RESPIRATION; DYNAMICS; BIODEGRADATION; PLANT;
D O I
10.1016/j.soilbio.2012.01.015
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
A more detailed mechanistic understanding of how low molecular weight (MW) carbon (C) substrates are mineralized within the rhizosphere by soil microbial communities is crucial to accurately model terrestrial C fluxes. Currently, most experiments regarding soil C dynamics are conducted ex-situ (laboratory) and can fail to account for key variables (e.g. temperature and soil water content) which vary in-situ. In addition, ex-situ experiments are often highly invasive, e.g. severing root and mycorrhizal networks, changing the input and concentrations of low MW exudates within soil. The aim of this study was to directly compare the mineralization rates of 31 common low MW C substrates under ex- and in-situ conditions. In addition, we also assessed the inter-annual field variability of substrate mineralization rates. We added trace concentrations of 31 individual C-14-labelled common low MW C substrates into the top soil of an agricultural grassland and monitored the mineralization rates by capturing (CO2)-C-14 evolved from the soil over 7 d. Our results showed that the contribution of low MW C components to soil respiration was highly reproducible between parallel studies performed either in-situ or ex-situ. We also found that differences in the mineralization of individual compounds were more variable inter-annually in the field than between the laboratory and the field. Our results suggest that laboratory-based C mineralization data can be used to reliably parameterize C models but that multiple experimental measurements should be made over time to reduce uncertainty in model parameter estimation. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:88 / 95
页数:8
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