Welcome to the Macrophenology 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.
Given the sensitivity of plant phenology to environmental change, there is an urgent need to quantify plant phenological dynamics to better understand and predict this societally important biological phenomenon. For example, berry phenology is important to Indigenous peoples of Alaska, as are the timing of flowering and fruiting of many native species. Various types of data capture information on plant phenology (e.g., community science observations, observatory network data, remotely sensed observations, herbarium specimens); but rarely are these data types integrated. Without such integration, our knowledge of changes in phenology across time and space is limited. For instance, it is unknown how phenological change will affect species distributions and developmental events in ecosystems or if it will differentially favor nonnative species. Such understanding will help predict shifts in species distributions as well as aid in conservation. We will focus on the interaction between phenological shifts and species range shifts in response to climate change, using multiple sources of data and co-production with Indigenous peoples to further knowledge of how climatic change may alter plant phenology and range changes.
Timeline:
- Workshop #1: In-person, Summer 2024
- Workshop #2: Virtual, Spring 2025
- Workshop #3: In-person, Fall 2025
- Access detailed documentation on our GitHub Pages site.
- Find comprehensive guides, tutorials, and additional resources.
ESIIL Macrophenology working group proposal
- Sydne Record: Working Group Co-Leader; Associate Professor, University of Maine
- Kai Zhu: Working Group Co-Leader; Advise the Across spp CTI subgroup; Associate Professor, University of Michigan
- Lizbeth Amador: Co-lead of the Across spp SDM subgroup; Ph.D. candidate, University of Maine Orono
- Rohit Jha: Co-lead of the Across spp SDM subgroup; Ph.D. student, Louisiana State University, Baton Rouge, LA
- Yi Liu: Co-lead of the Across spp CTI subgroup; Ph.D. candidate, University of Michigan
- Betsy von Holle: Research Associate, George Washington University
- Katie Jones: Staff Scientist, National Ecological Observatory Network (NEON), Battelle, Boulder CO
- Daijiang Li: Assistant Professor, University of Arizona, Tucson, AZ
- Eric Sokol: Working Group Tech Lead; Staff Scientist, National Ecological Observatory Network (NEON), Battelle, Boulder, CO
- 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.
- Online Meeting Notes
- Subgroup Meeting Notes: AcrossSDM
- [Subgroup Meeting Notes: Across spp CTI subgroup]
- Contributions from all group members are welcome.
- How To:
- Make a branch (you cannot commit directly to the
mainbranch) - Commit edits on your branch
- Submit a pull request to the
mainbranch
- Make a branch (you cannot commit directly to the
- 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 the Tech Lead (Eric Sokol)