The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy

Author:

Holmquist James R.1ORCID,Klinges David12,Lonneman Michael1,Wolfe Jaxine1,Boyd Brandon3,Eagle Meagan4,Sanderman Jonathan5,Todd‐Brown Kathe2ORCID,Belshe E. Fay2,Brown Lauren N.6,Chapman Samantha7,Corstanje Ron8,Janousek Christopher9,Morris James T.10,Noe Gregory11,Rovai André12ORCID,Spivak Amanda13ORCID,Vahsen Megan14,Windham‐Myers Lisamarie15,Kroeger Kevin4,Megonigal J. Patrick1ORCID

Affiliation:

1. Smithsonian Environmental Research Center Edgewater Maryland USA

2. University of Florida Gainesville Florida USA

3. Army Corps of Engineers Washington DC USA

4. USGS Woods Hole Massachusetts USA

5. Woods Hole Research Center Woods Hole Massachusetts USA

6. Bowling Green State University Bowling Green Ohio USA

7. Villanova University Villanova Pennsylvania USA

8. Cranfield University Cranfield UK

9. Oregon State University Corvallis Oregon USA

10. University of South Carolina Columbia South Carolina USA

11. USGS, Wetland Ecosystem Ecology and Biogeochemistry Laboratory Reston Virginia USA

12. Louisiana State University Baton Rouge Louisiana USA

13. University of Georgia Athens Georgia USA

14. Notre Dame University Notre Dame Indiana USA

15. USGS, Water Missions Area Menlo Park California USA

Abstract

AbstractQuantifying carbon fluxes into and out of coastal soils is critical to meeting greenhouse gas reduction and coastal resiliency goals. Numerous ‘blue carbon’ studies have generated, or benefitted from, synthetic datasets. However, the community those efforts inspired does not have a centralized, standardized database of disaggregated data used to estimate carbon stocks and fluxes. In this paper, we describe a data structure designed to standardize data reporting, maximize reuse, and maintain a chain of credit from synthesis to original source. We introduce version 1.0.0. of the Coastal Carbon Library, a global database of 6723 soil profiles representing blue carbon‐storing systems including marshes, mangroves, tidal freshwater forests, and seagrasses. We also present the Coastal Carbon Atlas, an R‐shiny application that can be used to visualize, query, and download portions of the Coastal Carbon Library. The majority (4815) of entries in the database can be used for carbon stock assessments without the need for interpolating missing soil variables, 533 are available for estimating carbon burial rate, and 326 are useful for fitting dynamic soil formation models. Organic matter density significantly varied by habitat with tidal freshwater forests having the highest density, and seagrasses having the lowest. Future work could involve expansion of the synthesis to include more deep stock assessments, increasing the representation of data outside of the U.S., and increasing the amount of data available for mangroves and seagrasses, especially carbon burial rate data. We present proposed best practices for blue carbon data including an emphasis on disaggregation, data publication, dataset documentation, and use of standardized vocabulary and templates whenever appropriate. To conclude, the Coastal Carbon Library and Atlas serve as a general example of a grassroots F.A.I.R. (Findable, Accessible, Interoperable, and Reusable) data effort demonstrating how data producers can coordinate to develop tools relevant to policy and decision‐making.

Funder

U.S. Department of Energy

Division of Environmental Biology

National Oceanic and Atmospheric Administration

National Science Foundation

Pew Charitable Trusts

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

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