Document Type

Article

Publication details

Post-print of J.K Vanclay, 2003, 'Realising opportunities in forest growth modelling', Canadian Journal of Forest Research, vol. 33, no. 3, pp. 536-541.

Published version available from:

Published version available from:

http://doi.org/10.1139/x02-117

Peer Reviewed

Peer-Reviewed

Abstract

The world is continually changing: the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for forest management. Are forest growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future, and initiate action to satisfy them. New technology that offers potential for innovation in forest growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for forest growth models, especially for our choice of driving variables?