About me

I am a climate and ecosystem scientist with a special interest in interactions between global environmental change and terrestrial ecology and biogeochemistry.

My work provides data-informed predictions of how land ecosystems respond to a changing climate, increasing CO2 and changes in nutrient cycles, and climatic extreme events. I develop process-based models, using eco-evolutionary optimality principles to explain plant traits and their adaptation and acclimation to the environment, and I apply machine learning and data assimilation techniques using diverse ecological data (ecosystem flux measurements, forest inventories, remote sensing, and manipulation experimental data, etc.). In brief, I’m building models, as simple as possible and as complex as necessary to learn the most. All open access, of course.

I am motivated to gain a better understanding of issues that are becoming increasingly pressing to society and policy and that are key to creating a sustainable future.

This is my personal website. Head over here to find the website of my group for Computational Ecosystem Science at ETH Zürich.

Download my CV.

Interests
  • Predicting drought impacts on forests
  • Climate-biosphere interactions
  • Developing next-generation vegetation models
  • Model-data integration and machine-learning
Education
  • PhD in Climate Science, 2013

    University of Bern

  • MSc in Climate Science, 2009

    University of Bern

Projects

Overview of some past and ongoing research. Head over here for funded projects and more research led by my group members.

Global leaf N and P

Global leaf N and P

Identifying global controls and spatial upscaling

Sensing drought stress

Sensing drought stress

Unlocking the full potential of surface reflectance remote sensing

Ecological data assimilation

Ecological data assimilation

Data from intensive ecosystem monitoring sites are assimilated into predictions of a mechanistic ecosystem model

Phenology and photosynthesis

Phenology and photosynthesis

Is autumn phenology (really) sink-driven?

Optimality and plant hydraulics

Optimality and plant hydraulics

A step towards a unified theory of plant photosynthesis and hydraulics

Cold acclimation effects on photosynthesis

Cold acclimation effects on photosynthesis

Addressing a neglected source of model bias

Machine learning for GPP

Machine learning for GPP

Building powerful models for spatial upscaling.

DGVM linearity

DGVM linearity

Diagnosing to what global vegetation models simulate source (photosynthesis)-driven carbon cycle dynamics.

Rooting zone water storage capacity

Rooting zone water storage capacity

A method for sensing the global distribution of the rooting zone water storage capacity from space. It’s consistent with plant adaptation to their hydroclimate!

New constraints on terrestrial photosynthesis

New constraints on terrestrial photosynthesis

Developing a reduced-complexity land carbon balance model to use atmospheric constraints on terrestrial photosynthesis.

Landcover6K model intercomparison

Landcover6K model intercomparison

Multi-model simulations using updated Landcover6K-preindustrial land use change scenarios to assess impacts on climate and the carbon cycle.

Carbon-water coupling across scales

Carbon-water coupling across scales

Soil moisture effects on the carbon cycle - from the local to global scales and the impact of drought extreme events

MIND

MIND

My 5-year Eccellenza Professorial Fellowship, funded by the Swiss National Science Foundation

Recent Publications

Quickly discover relevant content by filtering publications.
(2021). Greening of the Earth and its drivers. Nature Clim. Change.

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(2021). SCWDX80 and zCWDX80. Zenodo.

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(2021). The global distribution and environmental drivers of aboveground versus belowground plant biomass. Nature Ecology & Evolution.

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Recent Posts

Some blog posts I have written

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