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Examines the phytogeographic relationships of sclerophyll forest tree species in southeastern and eastern Australia. Comparison of the floristic provinces with previous floristic classifications of the area; Influence of climatic variation; Recommendation for the future interpretation of areas with similar species composition.

Examines the distribution of sclerophyll forest tree species in southern and eastern Australia to detect possible phytogeographic provinces. Assessment of the suitability of fourteen methods of numeral classification; Importance of evaluating floristic distribution in the overall interpretation of vegetation patterns; Influence of the use of a selection of forest species on the outcome of the analysis.

Cylindrocladium quinqueseptatum is a pathogen on a wide range of hosts. It affects at least 20 species of eucalypts and is an important causal agent of leaf blight of Eucalyptus camaldulensis in central andsouthern Vietnam. Results from previous studies and observations of broadscale infection patterns in mainland South East Asia were used to derive simple rules (i.e. mean minimum temperature of coldest month16 deg. C and mean annual precipitation 1400 mm) to identify locations which are likely to have a high risk of C. quinqueseptatum leaf blight (CqLB). Climatic mapping programs, which include interpolated climatic data estimated for numerous locations, were used to map these high risk areas in Africa, Australia and Latin America as well as in South East Asia. The predicted high-risk areas included several regions where CqLB has already been reported and the maps generated suggested other areas which may be at risk under present climatic conditions given the presence of C. quinqueseptatum and susceptible hosts. Some simple climate change scenarios were also used to suggest areas in mainland South East Asia which may become vulnerable to CqLB over thenext 50 years. It is concluded that climatic mapping programs can assist the broadscale evaluation of risk of CqLB infections, although it is recognised that more detailed models and survey information are also needed. [ABSTRACT FROM AUTHOR]

Data for Pinus radiata D. Don grown in the Australian Capital Territory (ACT) are used to show that annual indices of growth potential can be successfully incorporated into Schumacher projection models of stand basal area growth. Significant reductions in the error mean squares of the models can be obtained by including a simple index such asannual rainfall, but best results were obtained by incorporating estimates of photosynthesis simulated with a detailed process-based model: BIOMASS. In the ACT it was sufficient to estimate the growth indexat a single location within the forest estate. Reductions in error mean squares due to the incorporation of temporal variables were abouttwice as large as those obtained by incorporating spatial variables such as geological substrate, site index or indices of soil development. The gains due to the two classes of variables were approximately additive. The new models improve the descriptive power of the Schumacher model. Short-term predictions made with the models should be moreaccurate than those obtained with the traditional model and should be particularly useful for updating stand inventories. The new models would be most applicable to regions where there is substantial variation in climatic factors between growing seasons and where the object species is responsive to those factors. A key result is that the temporal variation in the growth indices need not be assessed at each sample plot used to calibrate the model nor each inventory plot to whichthe model is applied. The temporal variation is regional in nature; consequently, it can be characterised by studies at a relatively few number of sites. This leads the way to new avenues for forest modelling. [ABSTRACT FROM AUTHOR]

Cylindrocladium quinqueseptatum is a pathogen on a wide range of hosts. It affects at least 20 species of eucalypts and is an important causal agent of leaf blight of Eucalyptus camaldulensis in central and southern Vietnam. Results from previous studies and observations of broadscale infection patterns in mainland South East Asia were used to derive simple rules (i.e. mean minimum temperature of coldest month > or =16 degrees C and mean annual precipitation > or =1400 mm) to identify locations which are likely to have a high risk of C. quinqueseptatum leaf blight (CqLB). Climatic mapping programs, which include interpolated climatic data estimated for numerous locations, were used to map these high risk areas in Africa, Australia and Latin America as well as in South East Asia. The predicted high-risk areas included several regions where CqLB has already been reported and the maps generated suggested other areas which may be at risk under present climatic conditions given the presence of C. quinqueseptatum and susceptible hosts. Some simple climate change scenarios were also used to suggest areas in mainland South East Asia which may become vulnerable to CqLB over the next 50 years. It is concluded that climatic mapping programs can assist the broadscale evaluation of risk of CqLB infections, although it is recognised that more detailed models and survey information are also needed.