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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Root biomass distribution and soil properties of an open woodland on a duplex soil
Plant and Soil, Volume 327, No. 1, Year 2010
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Description
Data on the distribution of root biomass are critical to understanding the ecophysiology of vegetation communities. This is particularly true when models are applied to describe ecohydrology and vegetation function. However, there is a paucity of such information across continental Australia. We quantified vertical and horizontal root biomass distribution in a woodland dominated by Angophora bakeri and Eucalyptus sclerophylla on the Cumberland Plains near Richmond, New South Wales. The site was characterised by a duplex (texture contrast) soil with the A horizon (to 70 cm) consisting of loamy sand and the B horizon (to < 10 m) consisting of sandy clay. The topsoil had a smaller bulk density, a smaller water holding capacity but a larger organic component and a larger hydraulic conductivity in comparison to the subsoil. Root biomass was sampled to 1.5 m depth and declined through the soil profile. Whilst total biomass in the B horizon was relatively small, its contribution to the function of the trees was highly significant. Coarse roots accounted for approximately 82% of the root mass recovered. Lateral distribution of fine roots was generally even but coarse roots were more likely to occur closer to tree stems. Variation in tree diameter explained 75% of the variation in total below-ground biomass. The trench method suggested the belowground biomass was 6.03 ± 1.21 kg m-2 but this method created bias towards sampling close to tree stems. We found that approximately 68% of root material was within a 2 m radius of tree stems and this made up 54% of the total number of samples but in reality, only approximately 5 to 10% of the site is within a 2 m radius of tree stems. Based on these proportions, our recalculated belowground biomass was 2.93 ± 0.59 kg m-2. These measurements provide valuable data for modeling of ecosystem water use and productivity. © Springer Science + Business Media B.V. 2009.
Authors & Co-Authors
Macinnis-Ng, Cate M.O.
Australia, Sydney
University of Technology Sydney
Fuentes, S.
Australia, Sydney
University of Technology Sydney
Australia, Adelaide
The University of Adelaide
O'Grady, Anthony P.
Australia, Hobart
University of Tasmania
PALMER, ANTHONY R.
Australia, Sydney
University of Technology Sydney
South Africa, Pretoria
Agricultural Research Council, Pretoria
Taylor, Daniel T.
Australia, Sydney
University of Technology Sydney
Whitley, Rhys J.
Australia, Sydney
University of Technology Sydney
Yunusa, Isa A.M.
Australia, Sydney
University of Technology Sydney
Zeppel, Melanie J.B.
Australia, Sydney
University of Technology Sydney
Eamus, Derek
Australia, Sydney
University of Technology Sydney
Statistics
Citations: 9
Authors: 9
Affiliations: 4
Identifiers
Doi:
10.1007/s11104-009-0061-7
ISSN:
0032079X
Research Areas
Environmental