Mangrove Elevation and Species' Responses to Sea-level Rise Across Pohnpei, Federated States of Micronesia (ver. 1.1, December 2021)
Dates
Publication Date
2021-05-12
Creation
2021
Revision
2021-12-17
Citation
Buffington, K.J., MacKenzie, R.A., Carr, J.A., Apwong, M., Krauss, K.W., and Thorne, K.T., 2021, Mangrove elevation and species' responses to sea-level rise across Pohnpei, Federated States of Micronesia (ver. 1.1, December 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P96R8MZQ.
Summary
Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a new numerical model of soil elevation for mangrove forests. We used the model to generate projections of elevation and mangrove forest composition change under four sea-level rise scenarios through 2100 (37, 52, 67, and 117 cm by 2100). We employed a data-driven modeling approach, utilizing new and existing data to inform model parameters. The model was calibrated using dated soil cores and used a spin-up period to establish the soil column prior to future projections. Additional field data, including water level monitoring and elevation surveys, were used to estimate the initial elevation of the mangrove forest relative [...]
Summary
Future sea-level rise poses a risk to mangrove forests. To better understand potential vulnerability, we developed a new numerical model of soil elevation for mangrove forests. We used the model to generate projections of elevation and mangrove forest composition change under four sea-level rise scenarios through 2100 (37, 52, 67, and 117 cm by 2100). We employed a data-driven modeling approach, utilizing new and existing data to inform model parameters. The model was calibrated using dated soil cores and used a spin-up period to establish the soil column prior to future projections. Additional field data, including water level monitoring and elevation surveys, were used to estimate the initial elevation of the mangrove forest relative to mean sea level, and forest inventory plots were used to estimate mangrove productivity. Finally, we used a Monte Carlo simulation to incorporate variation in annual sea level due to the El Nino-Southern Oscillation.
These data support the following publication:
Buffington, K.J., MacKenzie, R.A., Carr, J.A., Apwong, M., Krauss, K.W., and Thorne, K.M., 2021, Mangrove species’ response to sea-level rise across Pohnpei, Federated States of Micronesia: U.S. Geological Survey Open-File Report 2021-1002, 44 p., https://doi.org/10.3133/ofr20211002.
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Purpose
Model projections are used to understand the vulnerability of mangroves to sea-level rise. Results can be used to guide resource management decisions and inform ecosystem conservation and restoration efforts. Field data were collected to support model calibration.
Revision 1.1 by Erika Sanchez-Chopitea on December 17, 2021. To review the changes that were made, see “RevisionHistory.txt” in the attached files section.