Welcome to the popClimVar repository, an integral part of the Environmental Data Science Innovation and Inclusion Lab (ESIIL). This repository is the central hub for our working group, encompassing our project overview, proposals, team member information, codebase, and more.
Climate change is expected to alter global temperature and precipitation patterns in multiple ways, including increases in mean temperatures, more variable precipitation patterns and extreme events, and more autocorrelated climate across space and time. These multiple dimensions of shifting climate are already exhibiting large impacts on our ecosystems, and are predicted to continue affecting population and community dynamics, with implications for species extinction risk and food security. However, how climate variability will impact population and community dynamics depends on ecological sensitivity to climate drivers and species’ abilities to buffer dynamics during adverse conditions. Our group will integrate climate and multiple ecological data sources to link climatic variability with population and community variability across the US, providing insight into potential ecological impacts under future climate change scenarios. In doing so, we aim to additionally provide a synthetic understanding of variability as a measure, bridging standard measures with more complex metrics that consider temporal autocorrelation (i.e., noise color), nonequilibrium conditions (i.e. comparing stochastic distributions through time), and spatiotemporal patterns (spatial synchrony). This will highlight the multiple dimensions of potential climate change impacts, using consistent spatiotemporal metrics that link from climate to ecological impacts.
Project proposal available here
- Tad Dallas <- Theoretical Ecology
- Lauren Shoemaker <- Population and community ecology
- Jon Walter <- Population and community ecology
- Lauren Hallett <- Population and community ecology
- Brett Melbourne <- Applied math
- Laura Dee <- Population and community ecology
- Anthony Pignatelli<- Spatial ecology
- Lauren Holian <- Movement ecology
- Jasmin Albert <- Population and community ecology
- Shaopeng Wang <- Theoretical Ecology
- Megan Szojka <- Population and community ecology
- Dusty Gannon <- Population and community ecology
- Amy Patterson <- Population and community ecology
- Grace Di Cecco <- Computer science/data analytics
- Meghan Hayden <- Spatial ecology
- Analysis Code: Scripts for data analysis, statistical modeling, etc.
- Data Processing: Scripts for cleaning, merging, and managing datasets.
- Visualization: Code for creating figures, charts, and interactive visualizations.
- Regular updates to keep all group members informed and engaged with the project's progress and direction. See
- Contributions from all group members are welcome.
- Please adhere to these guidelines:
- Ensure commits have clear and concise messages.
- Document major changes in the meeting notes.
- Review and merge changes through pull requests for oversight.
- If you encounter any issues or have questions, please refer to the ESIIL Support Page or contact the repository maintainers directly.