Journal article
Site index prediction of Eucalyptus dunnii Maiden plantations with soil and site parameters in sub-tropical eastern Australia
Australian Forestry, Vol.73(4), pp.234-245
2010
Metrics
43 Record Views
Abstract
The Eucalyptus dunnii Maiden plantation estate in north-eastern NSW and south-eastern Queensland is significantly expanding on ex-grazing land. Thirty-one growth plots (average age 5.2 y) covering a latitudinal range of about 3.2° (370 km) and at altitudes from 8 m to 740 m asi in NSW were used to evaluate the correlation of site, soil and climatic variables with growth of E. dunnii. Using height at an age of 10 y as a standard, site indices for E. dunnii across the 31 sites averaged about 16 m, ranging from around 5 m to 26 m. The factors available-water storage capacity of the soil, rainfall and altitude accounted for 62% of the variation in site index. Inclusion of measures of fertility did not improve the predictive capacity of the model, possibly because of the limited size of the data set with soil chemical analyses. The predictive model, based on simple, easily assessable site factors, has the capacity to improve the quantitative evaluation of the productivity of sites for E. dunnii plantations. The need for a simple field assessment procedure for selection of suitable sites was highlighted by the wide range of productivity exhibited across the plots.
Details
- Title
- Site index prediction of Eucalyptus dunnii Maiden plantations with soil and site parameters in sub-tropical eastern Australia
- Creators
- John C Grant - Southern Cross UniversityJ Doland Nichols - Southern Cross UniversityR Geoff B Smith - Elders Forestry, Qld.Paul BrennanJerome K Vanclay - Southern Cross University
- Publication Details
- Australian Forestry, Vol.73(4), pp.234-245
- Publisher
- Taylor & Francis Australasia
- Identifiers
- 2114; 991012820504802368
- Academic Unit
- Faculty of Science and Engineering; Forest Research Centre; School of Environment, Science and Engineering; Science; Office of Deputy Vice Chancellor, Research; National Centre for Flood Research
- Language
- English
- Resource Type
- Journal article