Organic carbon partitioning in soil and litter in subtropical woodlands and open forests: a case study from the Brigalow Belt, Queensland

被引:16
|
作者
Roxburgh, S. H.
Mackey, B. G.
Dean, C.
Randall, L.
Lee, A.
Austin, J.
机构
[1] Cooperat Res Ctr Greenhouse Accounting, Canberra, ACT 2601, Australia
[2] Australian Natl Univ, Res Sch Biol Sci, Ecosyst Dynam Grp, Canberra, ACT 0200, Australia
[3] Australian Natl Univ, Sch Resources Environm & Soc, Canberra, ACT 0200, Australia
[4] Bur Rural Sci, Canberra, ACT 2601, Australia
来源
RANGELAND JOURNAL | 2006年 / 28卷 / 02期
关键词
bulk density; flux; organic matter; RothC; surface;
D O I
10.1071/RJ05015
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A woodland-open forest landscape within the Brigalow Belt South bioregion of Queensland, Australia, was surveyed for soil organic carbon, soil bulk density and soil-surface. ne-litter carbon. Soil carbon stocks to 30 cm depth across 14 sites, spanning a range of soil and vegetation complexes, ranged from 10.7 to 61.8 t C/ha, with an overall mean of 36.2 t C/ha. Soil carbon stocks to 100 cm depth ranged from 19.4 to 150.5 t C/ha, with an overall mean of 72.9 t C/ha. The standing stock of. ne litter ranged from 1.0 to 7.0 t C/ha, with a mean of 2.6 t C/ha, and soil bulk density averaged 1.4 g/cm(3) at the soil surface, and 1.6 g/cm(3) at 1m depth. These results contribute to the currently sparse database of soil organic carbon and bulk density measurements in uncultivated soils within Australian open forests and woodlands. The estimates of total soil organic carbon stock calculated to 30 cm depth were further partitioned into resistant plant material (RPM), humus (HUM), and inert organic matter (IOM) pools using diffuse mid-infrared (MIR) analysis. Prediction of the HUM and RPM pools using the RothC soil carbon model agreed well with the MIR measurements, confirming the suitability of RothC for modelling soil organic carbon in these soils. Methods for quantifying soil organic carbon at landscape scales were also explored, and a new regression-based technique for estimating soil carbon stocks from simple field-measured soil attributes has been proposed. The results of this study are discussed with particular reference to the difficulties encountered in the collection of the data, their limitations, and opportunities for the further development of methods for quantifying soil organic carbon at landscape scales.
引用
收藏
页码:115 / 125
页数:11
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