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Data input quality and resolution effects on regional and local scale Eucalyptus globulus productivity predictions in north-east Tasmania

Citation

Mummery, DC and Battaglia, M, Data input quality and resolution effects on regional and local scale Eucalyptus globulus productivity predictions in north-east Tasmania, Ecological Modelling, 156, (1) pp. 13-25. ISSN 0304-3800 (2002) [Refereed Article]

DOI: doi:10.1016/S0304-3800(02)00042-X

Abstract

To examine the effect of multi-scaled soils and climate data on a process-based productivity model, we apply the same forest productivity model (PRoMOD), at five resolutions. We compare point growth predictions using site information sampled in a representative 10 m × 10 m area within 26 commercial Eucalyptus globulus plantations in north-east Tasmania with the corresponding measured site and growth data gathered at the same resolution. Five input data sets are generated at increasingly coarse grid scales from climate and soils databases (50, 100, 200, 500 and 1000 m). Our results indicate that forest productivity models like ProMod are not scale dependent and even with the use of broad-scale input data the model provides an unbiased estimate of the mean productivity for studies covering large geographic extents. However, our comparison using fine-scale data shows that sub-grid variance at broad scales can be very large, particularly for soil variables that can change abruptly over short distances. We conclude that although ProMod may be used over a range of scales with some confidence, specific applications will require different scales of data input and quality. © 2002 Elsevier Science B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Agroforestry
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood Plantations
Author:Mummery, DC (Mr Daryl Mummery)
Author:Battaglia, M (Dr Michael Battaglia)
ID Code:24545
Year Published:2002
Web of Science® Times Cited:11
Deposited By:Geography and Environmental Studies
Deposited On:2002-08-01
Last Modified:2003-05-19
Downloads:0

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