Coastal CarbonWorking Group Application

A goal of the CCRCN is to quantitatively improve the state of the science. One of our proposed activities is to use five topical working groups over the next five years to share data and expertise. The steering committee has decided to announce the titles and timing of the first two working groups, and suggestions for future working groups. Our decisions have been made based on three insights:

1. The initial results of a sensitivity analysis of U.S. coastal wetland flux which quantitatively rank priorities for reducing uncertainty.
2. Feedback from you at our 2017 AGU Town Hall, our 2018 community priorities survey, and individual outreach with many of you.
3. A recognition that the CCRCN steering committee needs to offer enough detail and leadership so that the workshops have direction, but not at the expense of remaining flexible to the changing nature of research and community priorities over the next five years.

The five workshops are:

1. Improved measuring, reporting, modeling, and mapping of soil carbon burial rates and carbon stocks in coastal wetlands

Time and Location: December 8 and 9 (before AGU), hosted at the Smithsonian Environmental Research Center, Edgewater, Maryland

Research Questions: 1. How much variation in carbon stocks and burial rates is attributable to field and lab techniques, and how much to environmental covariates? 2. What is the potential for machine learning or process-based modeling to map carbon stocks and burial rates?

Final Products: 1. Paper on best practices for field, lab, and data management; 2. papers on modeling and mapping; 3. Mapped products at the scale of the contiguous United States if applicable.

2. Improved process modeling and mapping of tidal wetland methane emissions

Applications now being accepted! 

Timing and Location: Workshop will be in December 2019, exact time and location TBD. Working group members will commit to remote collaboration in the months leading up to a two-day workshop, and are expected to contribute at the level of co-author to 1-2 culminating papers. 

Potential Future Working Groups

Detecting Carbon Flux Associated with Wetland Loss and Restoration (Timing: 2020 or 2021)

CO2 Vertical Flux and Scaling from the Chamber, Eddy Flux, to the Globe  (Timing: 2020 or 2021)

Quantifying Uncertainty Reduced by CCRCN Products, Scaling Outside the US, Determining New Research Priorities (Timing: 2022)

Each participant will be expected to agree to a code of conduct, contribute at the level of a coauthor, participate in remote collaboration in the months leading up to a two day workshop, attend all of the workshop, and assist in revising analyses and reviewing paper drafts following the workshop. We strongly encourage students and early career scientists to apply, especially as participation in data synthesis may advance publication and career opportunities. To maximize the diversity and number of participants, applicants should not expect to be selected for more than two working groups over the next five years. Travel funding will be provided for in-person workshops. Unfortunately funding for non-U.S. based collaborators is very limited. If you can provide your own funding, please indicate this on the application as it may free up funds for international participants.

Please indicate your ranked preferences 1 = highest, 5 = lowest.

Personal Info
Working Group Preferences
Note: applications for Working Group 1 are now CLOSED. Display of topics is primarily to gauge interest. A future application will be provided for these later working groups. 1 is highest priority, 4 is lowest priority.
1 2 3 4
Improved process modeling and mapping of tidal wetland methane emissions *
Tentative: detecting carbon flux associated with wetland loss and restoration *
Tentative: CO2 vertical flux and scaling from the chamber, eddy flux, to the globe *
Tentative: quantifying uncertainty reduced by CCRCN products, scaling outside the US, determining new research priorities *
Please explain why you would be a good fit for your preferred groups (e.g. unpublished data, data analysis skills, insights on the processes): *
Please describe your level of experience with the given skillset.