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Current: Cropland SOC fractionation and limiting factor
We used models and field data to estimate how much soil organic carbon is stored in Australian croplands and how sensitive that carbon is to climate. Preliminary results show that carbon levels are shaped by plant productivity, soil properties, and existing carbon, providing useful insights for policies aimed at increasing carbon storage in croplands.
The work is now under preparation.
Current: Plant trait maping using process based model and remote sensing
We used 40 years of satellite data together with a process-based vegetation model to estimate key plant and soil traits at nearly 15,000 relatively undisturbed sites. These traits were strongly linked to environmental conditions, allowing us to create accurate, gridded maps that reflect how plants are adapted to their local environments. This approach offers a new way to use remote sensing and ecological theory together, improving vegetation modelling and helping identify changes where natural vegetation has been altered or removed.
The work is now under review.
Past: Remote sensing of habitat conditions
I'm working with Karel and Tom at CSIRO Environment to add temporal dynamics to HCAS.
The idea is to use remotly sensed vegetation indices to assess ecosystem condition from functional, structural and and compositional aspects. We adopted the Contemporary Reference site concept.
The paper is now published in Global Ecology and Biogeography.
Past: Plant nitrogen stable isotope ratio as an indicator of change in plant conditions
Remote sensing gives many structure related vegetation indicators. Rarely do we get functional and compositional indicators, which are important aspects of ecosystem. Using ground-based observation and Landsat, I derived a nitrogen isotope from spectra observations for the past for decades.
The work is publihsed in Earth's Future.
Past: Modelling fuel load under future climate
A biophysics-aware machine learning (ML) was used to construct models with climatic, edaphic and topographic predictors that predict fuel patterns at fine spatial resolution. We hope to use this novel framework to bet combine past observations and our current knowledge of plant responses to climate change to make projection of fuel load under future climate.
The results are now in a publication in Journal of Applied Ecology.
Past: Predicting grassland phenology
I'm currently developing a generalisable ecophysiological modelling framework that incorporates physiological processes and traits to predict the dynamics of grassland productivity across Australian landscapes. It involves in finding relationships between rainfall, plant physiological processes and associated functional traits. Model validation will use data inputs from in situ phenocams and satellite derived EVI across landscapes.
Details in a paper in Agriculture and Forestry Meteorology.
Past project: Predict LAI
I tested the concept of ecohydrological equilibrium (i.e., long-term equilibrium LAI is determined by water availability) for its predictions in Australia. The predicted LAI values and the response to Ca both compared well to those of satellite-derived data. These results indicate that Lequ could be an useful alternative to satellite-derived data to terrestrial vegetation models to guild foliage carbon allocation.
Publication on this project now in JAMES.
And try this Shiny app to see how it works or this link for the code.
Past project: Stomatal conductance and photosynthesis model at high VPD
VPD is projected to increase in the future, accompanying the rising Ca. It is thus important to test whether stomatal conductance (gs) models capture the response of gs at high VPD . Here, I evaluated: (i) the empirical and optimal gs models (Leuning, Medlyn), which assume gs is related directly to VPD ; (ii) the Tuzet model, which follows the hydraulic limitation hypothesis; and (iii) the non-stomatal limitation in which photosynthetic capacity decreases with increasing VPD . The findings suggested that models need to incorporate non-stomatal limitation to accurate simulate of gs and photosynthesis at high VPD
A publication of the findings is in Tree Physiology.
Past project: MAESPA simulation of EucFACE
The aim of this project is to determine the baseline and the response of carbon and water fluxes in the Eucalyptus Free-Air-Carbon-Enrichment site (EucFACE). We parametrized a process-based model with in situ physiological and quantified the carbon and water fluxes under ambient and elevated Ca. We also conducted a attribution analysis to explore the influence of changes in plant physiology. Our findings suggested the Ca response in the evergreen woodland being much lower than the change of Ca potentially and modified by plant physiology.
The code for this project is fully aviabible through bitbucket.
The paper is publised in Biogeosciences.
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