Use of growth characteristics for predicting plant age of three obligate-seeder Proteaceae species
Meaghan E. Jenkins A D , David A. Morrison A B and Tony D. Auld CA Department of Environmental Sciences, University of Technology Sydney, Westbourne Street, Gore Hill, NSW 2065, Australia.
B Department of Parasitology (SWEPAR), National Veterinary Institute and Swedish University of Agricultural Sciences, Uppsala 751 89, Sweden.
C Biodiversity Conservation Science, Department of Environment and Conservation (NSW), PO Box 1967, Hurstville, NSW 2220, Australia.
D Corresponding author. Present address: Department of Earth Sciences, The Open University, Walton Hall, Milton Keynes, MK7 6AA England. Email: meaghanjenkins@hotmail.com.
Australian Journal of Botany 53(2) 101-108 https://doi.org/10.1071/BT04067
Submitted: 12 May 2004 Accepted: 21 October 2004 Published: 31 March 2005
Abstract
We tested the ability to predict plant (and hence population) age for three fire-sensitive obligate-seeder Proteaceae species (Banksia ericifolia, Banksia marginata and Petrophile pulchella) in the heath and woodland vegetation of the Sydney region. To do this we sampled the number of growth whorls, as well as other growth characteristics (stem girth and height measurements, and canopy area and volume estimates), in areas of known time since last fire (TSLF). The average number of growth whorls was a very good predictor of plant age for both Banksia species (R2 = 98%, 99%), but this needed to be corrected for linear underestimation in P. pulchella (R2 = 92%). This technique could successfully be applied to these species in similar habitats across a large spatial scale, and so this information can be used to determine the age of a population in areas of unknown TSLF. A sample size of 15 plants was sufficient for accurate age estimates of all species; however, better estimates of TSLF for a particular plant community were obtained when estimates from two or more of the species were combined. We thus provide empirical evidence for the validity and accuracy of the growth-whorl technique for predicting plant age and hence TSLF. This information will assist in informing the development of appropriate management strategies for plants in relation to fire. Of the other growth characteristics studied, stem girth was the most reliable predictor; however, in general these other characteristics had wide confidence intervals on the predictions for sites greater than 10 years TSLF, owing to a non-linear relationship with age.
Acknowledgments
Thanks go to the New South Wales National Parks and Wildlife Service for the use of facilities, and especially to Mark Ooi for his help. Kate Langdon and Simon Rowe helped with the fieldwork, and the referees provided helpful comments on the manuscript. The sampling was carried out under licences from the New South Wales National Parks and Wildlife Service and the Sydney Catchment Authority.
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