TAILIEUCHUNG - Báo cáo lâm nghiệp: "Evaluation of a semi-empirical model for predicting fine root biomass in compositionally complex woodland vegetation"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: Evaluation of a semi-empirical model for predicting fine root biomass in compositionally complex woodland vegetation. | Ann. For. Sci. 64 2007 247-254 INRA EDP Sciences 2007 DOI forest 2007002 247 Original article Evaluation of a semi-empirical model for predicting fine root biomass in compositionally complex woodland vegetation Ayalsew ZERIHUNa b e Christian AMMERc Kelvin D. MONTAGUd a Forest Resources Research NSW Department of Primary Industries PO Box 100 Beecroft NSW 2119 Australia b Cooperative Research Centre for Greenhouse Accounting GPO Box 475 ACT 2601 Australia c Bavarian Forest Institute Unit for Silvicultural Research Am Hochanger 11 85354 Freising Germany d School of Natural Sciences University of Western Sydney Penrith NSW 1797 Australia e Present address Curtin University of Technology Margaret River Education Campus PMB 1 Margaret River WA 6285l Australia Received 8 July 2006 accepted 3 October 2006 Abstract - We used measures of plant size distribution and root core data to evaluate capability of the model of Ammer and Wagner 2 for spatially explicit prediction of fine root biomass FRB in Eucalyptus populnea-dominated woodlands from xeric and mesic regions of Australia. Tree diameter and height were tested as proxy variables for plant size. For the xeric site which had no understorey grass cover both the height- and diameter-based models gave reasonable estimates of FRB. However the height-model provided a better match to the measured data than the diameter-model. For the mesic site which had a substantial ground cover dominated by C4-grasses whose contribution to FRB could not be captured by the model neither the height- nor the diameter- model was able to predict FRB satisfactorily. This was also the case even when the contribution of the C4-grasses to FRB was estimated and accounted for after S13C analysis of fine root samples. Overall while it is evident that the model can be a useful tool for estimating FRB from aboveground stand inventory in both even-aged plantations and compositionally complex natural vegetation it is also clear that it does not .

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