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VERDE

Welcome to the Vast Exploration and Research in Dry Forest Ecosystems (VERDE) 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.

Our Project

We aim to harness environmental data science to understand the evolutionary past, contemporary biogeography, and probable futures of a globally distributed and threatened biome—tropical dry forests. Specifically, we will examine the distribution of deciduousness across evolutionary time, across geographical gradients, and to forecast the success of the deciduous trait under future climates by bringing together datasets spanning phylogenetic trees, functional traits, field-based phenology data, remote sensing imagery, and ecosystem modeling. Importantly, our working group will broaden the century-old and geographically biased ‘temperate phenology paradigm’ by identifying past, present, and future determinants of tropical phenological variation.

Documentation

  • Access detailed documentation on our GitHub Pages site.
  • Find comprehensive guides, tutorials, and additional resources.

Resources

ESIIL Code of Conduct
Intellectual Credit and Authorship Guidelines
Hampton and Parker 2011 paper
The Travel and Participant Support Guide
Travel Expense Form

Project Proposal

Link to the detailed project proposal document.

Group Members

Name Email Expertise Affiliation (as you want it to appear on publications)
Catherine Hulshof [email protected] Community Ecology School of Life Sciences and Sustainability, Virginia Commonwealth University, Richmond, VA, 23284, USA
German Vargas Gutiérrez [email protected] Plant Ecophysiology
Jennifer Powers [email protected] Biogeochemical and Ecosystem Ecology
Roy González Martínez [email protected] Forest Ecology
Anna Trugmann [email protected] Global Change Ecology
Loren Albert [email protected] Plant Ecophysiology
Horacio Paz [email protected] Plant Ecophysiology
Jin Wu [email protected], [email protected] Ecosystem Ecology, Remote Sensing
Toby Pennington [email protected] Tropical Plant Diversity
Will Weider [email protected] Terrestrial Science, Climate Modeling
Xavier Haro-Carrion [email protected] Land System Science
Adrián Bojorquez [email protected] Landscape Ecology
Natalia Umaña [email protected] Forest community ecology

Repository Structure

  • 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.

Meeting Notes and Agendas

Contributing to This Repository

  • 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.

Getting Help

  • If you encounter any issues or have questions, please refer to the ESIIL Support Page or contact the repository maintainers directly.

Customize Your Repository

  • 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!

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