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Medlyn, B.

Publications and source records attributed to Medlyn, B..

3 recordsLinked to original sources

Lack of co-ordination of stomatal, hydraulic and leaf browning traits in 16 perennial Australian grass species of differing climate origins

Grasslands are vulnerable to increasing drought with global warming, but process-based models lack the mechanistic knowledge required to predict the magnitude of drought impacts. While a plant hydraulics framework has been successful in advancing process understanding of drought responses in trees, and how drought responses vary across rainfall gradients, similar approaches have rarely been applied to grasses. Here, we quantified the progression of key drought response processes in sixteen dominant perennial grasses (seven C3 and nine C4) with differing climatic origins across eastern Australia. We found that stomatal closure, hydraulic impairment and leaf browning occurred concurrently, in contrast to the progressive sequence typically observed in trees. We also found that drought response traits were not correlated with species climate of origin. The early impairment of leaf hydraulic conductance and leaf browning along with the lack of correlation with climate of origin suggest that grasses may employ fundamentally different strategies to adapt to low water availability than trees. These results highlight the need for grass-specific parameterization of drought responses in process-based models.

ecology↗

Attributing the temperature response of tree seedling growth to underlying mechanisms

Studies of plant responses to temperature often focus on rates photosynthesis and respiration. However, within-plant utilisation and allocation of carbon are also strongly affected. It is unclear how much each of these processes contribute to determining the overall temperature response of growth. We applied a data assimilation framework to a glasshouse experiment with detailed physiological and growth measurements to investigate the relative contribution of different physiological processes to the overall temperature response of tree seedling growth. We found that both short-term effects of temperature and acclimatory responses of photosynthesis and respiration had a significant impact on the temperature response of growth. However, the effect of temperature on biomass allocation patterns to different tissues, non-structural carbohydrate utilisation and C losses to other unmeasured losses were also substantial in determining the temperature response of growth, particularly at sub-optimal temperatures. Our work demonstrates that the growth response to warming cannot be predicted using only the direct effect of temperature on photosynthesis and respiration and emphasizes the importance of temperature acclimation of photosynthesis, respiration and other C balance processes. Our results provide new guidance for process-based models to correctly describe the temperature effects on tree growth.

plant biology↗

The AusTraits Plant Dictionary

Traits with intuitive names, a clear scope and explicit description are essential for all trait databases. Reanalysis of data from a single database, or analyses that integrate data across multiple databases, can only occur if researchers are confident the trait concepts are consistent within and across sources. The lack of a unified, comprehensive resource for plant trait definitions has previously limited the utility of trait databases. Here we describe the AusTraits Plant Dictionary (APD), which extends the trait definitions included in the new trait database AusTraits. The development process of the APD included three steps: review and formalisation of the scope of each trait and the accompanying trait description; addition of trait meta-data; and publication in both human and machine-readable forms. Trait definitions include keywords, references and links to related trait concepts in other databases, and the traits are grouped into a hierarchy for easy searching. As well as improving the usability of AusTraits, the Dictionary will foster the integration of trait data across global and regional plant trait databases.

ecology↗