Vegetation management practices in plantation forests of Australia and New Zealand

B. Richardson

Canadian Journal of Forest Research · 1993 · 110 citations · 0 references

Concepts

TL;DR

Radiata pine dominates plantation forests in Australia and New Zealand, where vegetation management—including removal, suppression, and introduction of noncrop species—is used to enhance crop growth, modify microclimates, improve access, reduce fire hazards, and support fodder, with herbicides still common but nonchemical methods and machinery increasingly important and computer‑based decision support systems emerging. The study aims to determine the long‑term cost–benefit of vegetation management by better understanding crop growth responses to these treatments. This requires experiments that examine how crop and noncrop species influence hydrological and nutrient cycles. Removal of noncrop vegetation has been shown in many studies to produce large increases in crop growth.

Abstract

Radiata pine (Pinusradiata D. Don) is the predominant species in plantation forests of Australia and New Zealand. Removal or suppression of noncrop vegetation is often carried out to enhance crop growth and survival by reducing competition for water, light, and nutrients. Other reasons for vegetation removal include microclimate modification, providing access into stands, and fire hazard reduction. Many studies have demonstrated large increases in crop growth from removing noncrop vegetation. Vegetation management can also mean introducing noncrop species to improve site quality, to suppress unwanted species, or to provide fodder for grazing. While herbicides are still the most widely used weed control tool, nonchemical methods are of increasing importance. The role of machinery is likely to increase in both countries as the use of fire for vegetation management and general site preparation declines. To calculate the long-term cost–benefit of vegetation management, a better understanding of the crop growth response to these treatments is essential. This requires experiments that focus on the role of both crop and noncrop species in hydrological and nutrient cycles. Personal computer based decision support systems are likely to play an increasing role as an aid to cost-effective vegetation management decision making.