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Sampling Size Required for Determining Soil Carbon and Nitrogen Properties at Early Establishment of Second Rotation Hoop Pine Plantations in Subtropical Australia 被引量:1

Sampling Size Required for Determining Soil Carbon and Nitrogen Properties at Early Establishment of Second Rotation Hoop Pine Plantations in Subtropical Australia
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摘要 Investigations into forest soils face the problem of the high level of spatial variability that is an inherent property of all forest soils.In order to investigate the effect of changes in residue management practices on soil properties in hoop pine(Araucaria cunninghamii Aiton ex A.Cunn.)plantations of subtropical Australia it was important to understand the intensity of sampling effort required to overcome the spatial variability induced by those changes.Harvest residues were formed into windrows to prevent nitrogen(N)losses through volatilisation and erosion that had previously occurred as a result of pile and burn operations.We selected second rotation(2R)hoop pine sites where the windrows(10-15 m apart)had been formed 1,2 and 3 years prior to sampling in order to examine the spatial variability in soil carbon(C) and N and in potential mineralisable N(PMN)in the areas beneath and between(inter-)the windrows.We examined the implications of soil variability on the number of samples required to detect differences in means for specific soil properties, at different ages and at specified levels of accuracy.Sample size needed to accurately reflect differences between means was not affected by the position where the samples were taken relative to the windrows but differed according to the parameter to be sampled.The relative soil sampling size required for detecting differences between means of a soil property in the inter-windrow and beneath-windrow positions was highly dependent on the soil property assessed and the acceptable relative sampling error.An alternative strategy for soil sampling should be considered,if the estimated sample size exceeds 50 replications.The possible solution to this problem is collection of composite soil samples allowing a substantial reduction in the number of samples required for chemical analysis without loss in the precision of the mean estimates for a particular soil property. Investigations into forest soils face the problem of the high level of spatial variability that is an inherent property of all forest soils. In order to investigate the effect of changes in residue management practices on soil properties in hoop pine (Araucaria cunninghamii Aiton ex A. Cunn.) plantations of subtropical Australia it was important to understand the intensity of sampling effort required to overcome the spatial variability induced by those changes. Harvest residues were formed into windrows to prevent nitrogen (N) losses through volatilisation and erosion that had previously occurred as a result of pile and burn operations. We selected second rotation (2R) hoop pine sites where the windrows (10-15 m apart) had been formed 1, 2 and 3 years prior to sampling in order to examine the spatial variability in soil carbon (C) and N and in potential mineralisable N (PMN) in the areas beneath and between (inter-) the windrows. We examined the implications of soil variability on the number of samples required to detect differences in means for specific soil properties, at different ages and at specified levels of accuracy. Sample size needed to accurately reflect differences between means was not affected by the position where the samples were taken relative to the windrows but differed according to the parameter to be sampled. The relative soil sampling size required for detecting differences between means of a soil property in the inter-windrow and beneath-windrow positions was highly dependent on the soil property assessed and the acceptable relative sampling error. An alternative strategy for soil sampling should be considered, if the estimated sample size exceeds 50 replications. The possible solution to this problem is collection of composite soil samples allowing a substantial reduction in the number of samples required for chemical analysis without loss in the precision of the mean estimates for a particular soil property.
出处 《Pedosphere》 SCIE CAS CSCD 2007年第6期706-711,共6页 土壤圈(英文版)
基金 Project supported by a scholarship grant from the Cooperative Research Centre for Sustainable Production Forestry,Australia.
关键词 hoop pine NITROGEN potential mineralisable nitrogen residue management soil spatial variability 土壤 空间变异 残渣 氮含量
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  • 1Bauhus, J., Khanna, P. K., Hopmans, P. and Weston, C. 2002. Is soil carbon a useful indicator of sustainable forest soil management? A case study from native eucalypt forests of south-eastern Australia. Forest Ecology and Management. 171(1-2): 59-74.
  • 2Blumfield, T. J., Xu, z. H., Prasolova, N. V. and Mathers, N. J. 2006. Effect of overlying windrowed harvest residues on soil carbon and nitrogen in hoop pine plantations of subtropical Australia. Journal of Soils and Sediments. 6(4): 243-248.
  • 3Blumfield, T. J. and Xu, Z. H. 2003. Impact of harvest residues on soil mineral nitrogen dynamics following clearfall harvesting of a hoop pine plantation in subtropical Australia. Forest Ecology and Management. 179(1-3): 55-67.
  • 4Bundy, L. G. and Meisinger, J. J. 1994. Nitrogen availability indices. In Weaver, R. W. et al. (eds.) Methods of Soil Analysis. Part 2. Microbiological and Biochemical Properties. Soil Science Society of America Book Series. Soil Science Society of America Inc., Madison. pp. 951-984.
  • 5Chen, C. R. and Xu, Z. H. 2005. Soil carbon and nitrogen pools and microbial properties in a 6-year-old slash pine plantation of subtropical Australia: impacts of harvest residue management. Forest Ecology and Management. 206( 1- 3): 237-247.
  • 6Dmitriev, Y. A. 1976. Statistical methods for analysis of data in seasonal studies. In Rode, A. A. et al. (eds.) Principles of Organization and Methods in Stationary Soil Studies (in Russian). Nauka, Moscow. pp. 302-412.
  • 7Holzworth, P. 1999. Monarchs of the Woods. Queensland Department of Primary Industries, Brisbane.
  • 8Isbell, R. F. 1996. The Australian Soil Classification. CSIRO Australia, Collingwood, Victoria. 143pp.
  • 9Laverman, A. M., Zoomer, H. R., van Verseveld, H. W. and Verhoef, H. A. 2000. Temporal and spatial variation of nitrogen transformations in a coniferous forest soil. Soil Biology and Biochemistry. 32(11-12): 1661-1670.
  • 10O'Brien, N. D., Attiwill, P. M. and Weston, C. J. 2003. Stability of soil organic matter in Eucalyptus regnans forests and Pinus radiata plantations in south eastern Australia. Forest Ecology and Management. 185(3): 249-261.

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