Wood density is often considered to be a key plant functional trait. But it is not clear what actually wood density is? We rigorously quantified anatomical underpinnings of wood density variation. We found that density was mainly driven by properties of mechanical tissue such as fibre wall fraction and fibre lumen fraction. However, there was also a substantial anatomical variation independent of density. This variation suggests that different plant ecological strategies may be available to woods with the same density. Our results imply that density is a complex characteristic of wood rather than a straightforward indicator of plant ecological strategies.

Accurate ground-based estimation of the carbon stored in terrestrial ecosystems is critical to quantifying the global carbon budget. Allometric models provide cost-effective methods for biomass prediction. But do such models vary with ecoregion or plant functional type? We compiled 15 054 measurements of individual tree or shrub biomass from across Australia to examine the generality of allometric models for above-ground biomass prediction. This provided a robust case study because Australia includes ecoregions ranging from arid shrublands to tropical rainforests, and has a rich history of biomass research, particularly in planted forests. Regardless of ecoregion, for five broad categories of plant functional type (shrubs; multistemmed trees; trees of the genus Eucalyptus and closely related genera; other trees of high wood density; and other trees of low wood density), relationships between biomass and stem diameter were generic. Simple power-law models explained 84-95% of the variation in biomass, with little improvement in model performance when other plant variables (height, bole wood density), or site characteristics (climate, age, management) were included. Predictions of stand-based biomass from allometric models of varying levels of generalization (species-specific, plant functional type) were validated using whole-plot harvest data from 17 contrasting stands (range: 9-356 Mg ha(-1) ). Losses in efficiency of prediction were <1% if generalized models were used in place of species-specific models. Furthermore, application of generalized multispecies models did not introduce significant bias in biomass prediction in 92% of the 53 species tested. Further, overall efficiency of stand-level biomass prediction was 99%, with a mean absolute prediction error of only 13%. Hence, for cost-effective prediction of biomass across a wide range of stands, we recommend use of generic allometric models based on plant functional types. Development of new species-specific models is only warranted when gains in accuracy of stand-based predictions are relatively high (e.g. high-value monocultures).

1. Plants must balance water expenditure from their crown with water supplied through root and stem tissues. Although many different combinations of hydraulic traits could accomplish water balance, we ask whether variation across species in stem hydraulic traits has been concentrated along few, or many, dimensions of trait variation. 2. We measured stem hydraulic traits for 120 woody dicot species across a range of different biomes in eastern Australia. Mean annual temperatures ranged from 10 to 27 °C and aridity (precipitation ⁄ potential evapotranspiration) from 0AE33 to 1AE02 across study sites. 3. Xylem-specific conductivity, species' height and ratio of leaf area to xylem area were positively correlated, manifesting as a single axis of trait variation, with other traits mostly orthogonal to this axis. Thus, as height and ratio of leaf area to xylem area increased across species and habitats (increasing resistance per leaf area), xylem-specific conductivity partially compensated for this resistance. Xylem-specific conductivity was well predicted by increasing height (r 2 = 0AE45) and ratio of leaf area to xylem area (r 2 = 0AE36). This three-trait axis was positively correlated with increasing precipitation (r 2 = 0AE28) and temperature (r 2 = 0AE15), but most of the explained variance lay within sites (39%) rather than across sites (10%). Thus, the spread of species' traits along this functional axis reflected structural and hydraulic differences among co-occurring species, at least as much as it reflected differences associated with contrasting climates. 4. High xylem-specific conductivity in stems was accomplished by high vessel diameter to number ratio (r 2 = 0AE32) and ⁄ or by high vessel lumen fraction (r 2 = 0AE13). Low midday water potential (higher xylem tension) was associated with low ratio of vessel diameter to number (r 2 = 0AE25), whereas low specific gravity (r 2 = 0AE18) and stiffness (r 2 = 0AE12) were associated with high vessel lumen fraction. 5. Light capture (i.e. increasing height and leafiness) may be facilitated by high xylem-specific conductivity, but marked increases in xylem-specific conductivity may also be associated with reduced hydraulic and mechanical safety. Although the trade-offs associated with increasing xylem-specific conductivity remain unclear, our data suggest that xylem-specific conductivity is important for maintaining water balance across a large range of species and biomes.

Summary The effects of a fire on plant community structure were examined in a remnant Gidgee (Acacia cambagei) and Brigalow (Acacia harpophylla) woodland infested with the naturalized exotic, Buffel Grass (Cenchrus ciliaris) in central Queensland. Fifteen months after the fire, burnt areas had about half the basal area of living trees and more than twice the cover of Buffel Grass and Parthenium Weed (Parthenium hysterophorus) as unburnt areas. This is consistent with the idea that Buffel Grass invasion, which increases ground fuel loads in Acacia woodlands, is facilitated by burning, producing positive feedback between Buffel Grass and fire. The result is accelerating remnant degradation, making the interaction between Buffel Grass and fire an important target for management measures. Fire‐breaks and fuel reduction strategies including periodic intense grazing and canopy enhancement have potential to reduce the impact of Buffel Grass invasion, but long‐term community survival will probably require effective control of Buffel Grass. The impact of weed invasion within remnant vegetation is clearly a complex issue but the simple ‘case study’ approach employed here can both increase and communicate understanding.