We are a collection of researchers driven by our curiosity to understand how the terrestrial biosphere operates. We work at the intersection of Earth system science, ecophysiology, biogeochemistry, ecology, applied statistics, machine learning, and high-performance computing. With our research we contribute to a better understanding of issues that are becoming increasingly pressing to society and policy and that are key to creating a sustainable future.
We are committed to an Open Science practice. We’re building an environment of open source tools for ecosystem data and modelling. This should empower the community to use latest methodological innovations, developed by our group. Here is a list of our products.
Visit our group website at https://geco-group.org/.
- rsofun - An R package for dynamic vegetation modelling -
- rpmodel - An R implementation of the P-model -
- GECOr - Internal R package for model development support, visualization and data wrangling ( 💥 experimental 💥 )
- FluxDataKit - Workflow to convert FLUXNET data to Land Surface Model formats
- FluxnetEO - Access and convert FluxnetEO data in R
- ingestr - Experimental package for data ingestion
- earthnet-minicuber - A fork from earthnet2021, complemented by additional data source ingestion (geospatial Earth Observation and climate data) and functionalities.
- leafnp_data - Leaf N, P, and N:P data by Tian et al. (2019), complemented with environmental covariates. Contains the data and code for generating it. DOI: https://doi.org/10.5281/zenodo.11071944
- mlflx4 - LSTM and DNN models for FLUXNET GPP modelling
- forest drought forecasting - leveraging minicubes to forecast forest drought events
- vegetation drought response forecasting - forecasting the response of drought events on vegeation using ConvLSTM models
- Applied Geodata Science I - an introduction to applied geodata science
- Applied Geodata Science II - an overview of real-world geodata science applications
- Applied Geodata Science Proseminar - an introduction to start your own applied geodata science project
- Applied Geodata Science - an introduction to data science in R
- A handful of Pixels - an introduction into geocomputation in R
- R project template - a basic R template to populate project directories
- R code tools - a selection of commonly used development tools and practices
- Digital Soil Mapping - an introduction to digital soil mapping
- Leaf Temperature Modelling - an introduction to modelling a leaf's energy balance
- Youtube channel with tutorials - a video tutorial channel for the tools listed here 🎥
- geco_code_of_conduct - mission, principles, and logistics for the group
- data management - data storage and management for research computing 🔒
- system administration - software installation and howtos 🔒
- lab infrastructure - details on lab equipment (what/where) 🔒
- teaching materials - teaching materials for internal use 🔒
- GECO media - GECO media material - posters, presentations, visualizations 📖
Publications
- Plant access to belowground moisture allows sustained evapotranspiration during drought - Giardina et al. submitted
- Quantifying soil moisture impacts on light use efficiency across biomes - Stocker et al. 2018 New Phytologist
- Acclimation of phenology relieves leaf longevity constraints in deciduous forests - Marqués et al. 2022 Nature Ecology & Evolution
- Grow Fast Die Young hypothesis - Marqués et al. 2022 submitted
- Rooting zone water storage capacity - Stocker et al., 2023 Nature Geoscience
- Cumulative water deficit algorithm - Stocker et al., 2023 Nature Geoscience
- Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations of terrestrial plants - Tian et al. (in review). DOI: https://doi.org/10.5281/zenodo.11071816
Collaboration & code-of-conduct
The authors of these packages are open to collaborate. Where substantial intellectual inputs are provided by us, we ask for credit. Intellectual input can take the form of (but is not limited to) custom code, data manipulation, or methodological advice (including experimental design). The form of credit is to be determined in mutual agreement, considering contributions, and may include the authorship on manuscripts or on other research products resulting from respective work. For simple questions regarding the functioning of our open source software, please refer first to the extensive documentation on respective websites (see links above), our YouTube channel, and related published papers. For remaining questions, please raise an issue on Github (in the respective repository). Of course, for such types of support and issue resolution, we do not expect co-authorships. Fair acknowledgements and properly cited software and literature is appreciated. Thank you. More details are provided in the GECO code of conduct / mission statement.
