Welcome to the fungal dispersal 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.
Dispersal is a key mechanism driving the geographic distributions of species on Earth, but dispersal theory and methods are based primarily on macroorganisms with microbial dispersal paradigms emerging only recently. In fungi, numerous traits related to dispersal (e.g. spore traits, fruiting body traits, dispersal syndromes) are likely linked to fungal biogeographic patterns, but these hypotheses remain largely untested. We aim to harmonize fungal dispersal trait data with DNA sequence-based taxon occurrence data to test trait-based predictions regarding the dispersal capabilities of fungi across spatial scales. We will also assess the potential for fungal dispersal to buffer against range shifts predicted with global climate change. This work will contribute to our understanding of global fungal biodiversity and ecosystem function, as well as aid in predicting plant and human fungal disease outbreaks. Finally, we will integrate fungal dispersal models with global climate change predictions to assess the potential for fungal range shifts in a changing world.
- Access detailed documentation on our GitHub Pages site.
- Find comprehensive guides, tutorials, and additional resources.
Fungal Dispersal Working Group Proposal_11-1-23.pdf
- PI: Dr. Bala Chaudhary, Dartmouth College.
- Co-PI: Dr. Cameron Egan, University of Southern California.
- Co-PI: Dr. Kabir Peay, Stanford University.
- Co-technical lead: Dr. Carlos A. Aguilar-Trigueros, University of Jyväskylä.
- Co-technical lead: Sarah Cuprewich, Dartmouth College.
- And others!
- 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.
- 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. https://cu-esiil.github.io/Postdoc_OASIS/resources/cyverse_hacks/
- Edit This Readme: Update with information specific to your project.
- Update Group Member Bios: Add detailed information about each group member's expertise and role.
- Organize Your Code: Use logical structure and clear naming conventions.
- Document Your Data: Include a data directory with README files for datasets.
- Outline Your Methods: Create a METHODS.md file for methodologies and tools.
- Set Up Project Management: Use 'Issues' and 'Projects' for task tracking.
- Add a License: Include an appropriate open-source license.
- Create Contribution Guidelines: Establish a CONTRIBUTING.md file.
- Review and Merge Workflow: Document your process for reviewing and merging changes.
- Establish Communication Channels: Set up channels like Slack or Discord for discussions.
Remember, the goal is to make your repository clear, accessible, and useful for all current and future members of your working group. Happy researching!