Welcome!
This page highlights public tools and reproducible workflows I develop for studying terrestrial ecosystems, climate, and socio-environmental change.
1. Syndromes of biosphere–atmosphere–socioeconomic change
This project builds “syndromes of change” – characteristic patterns that link shifts in ecosystems, climate, and socioeconomic conditions around the world. It provides a reproducible pipeline from raw satellite and socio-economic data to interpretable indicators of coupled biosphere–atmosphere–society change.
Use this workflow to:
- explore how vegetation, water stress, and climate co-vary with socio-economic indicators
- identify regions that share similar “syndromes” of change
- reproduce figures from the paper and generate new syndrome maps or extreme-event case studies
Links
Questions or feedback:
Wantong Li – wantongli@berkeley.edu · Fabian Gans – fgans@bgc-jena.mpg.de
2. Global vegetation physiology under drought
This project develops a method to extract global vegetation physiological responses to drought by combining
sun-induced chlorophyll fluorescence (SIF), vegetation optical depth (VOD), and land surface temperature (LST). It separates structural and physiological controls on ecosystem function and produces global indicators of photosynthetic down-regulation and stomatal stress during and after drought.
Typical applications include:
- quantifying physiological vs structural contributions to changes in carbon uptake and evaporation
- mapping global patterns of vegetation physiological stress and recovery under drought
- benchmarking land-surface and Earth system model drought responses in terms of vegetation physiology
Links
For details on file structure and scripts, please see the documentation in the Zenodo code package.
3. Vegetation sensitivity to soil moisture (interpretable ML)
This project develops interpretable machine-learning methods to quantify vegetation sensitivity to soil moisture across climate gradients. It uses observation-based datasets and transparent models to estimate how changes in near-surface and root-zone soil moisture affect vegetation productivity and greenness, and to map where ecosystems are most vulnerable to water limitation and drought propagation.
Use this workflow to:
- derive sensitivity metrics linking soil moisture anomalies to vegetation responses
- compare the relative role of near-surface vs root-zone water availability
- benchmark land-surface and Earth system model representations of ecohydrological limitation
Links
These archives contain all scripts and analysis-ready inputs needed to reproduce the results and figures described in the associated manuscript.