Modeling impacts of drought-induced salinity intrusion on carbon fluxes and storage in tidal freshwater forested wetlands
July 19, 2022
A biogeochemistry model was developed to examine plant gross primary productivity (GPP), net primary productivity (NPP), plant respiration, soil respiration, soil organic carbon sequestration rate and storage under scenarios of drought and normal conditions at Tidal Freshwater Forested Wetlands (TFFW) sites along the Waccamaw River and Savannah River in the Southeastern United States.
Citation Information
Publication Year | 2022 |
---|---|
Title | Modeling impacts of drought-induced salinity intrusion on carbon fluxes and storage in tidal freshwater forested wetlands |
DOI | 10.5066/P98R3ZXE |
Authors | Hongqing Wang, Zhaohua Dai, Carl Trettin, Ken W Krauss, Gregory Noe, Camille L Stagg, Eric J Ward, Andrew J. Burton |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Wetland and Aquatic Research Center - Gainesville, FL |
Rights | This work is marked with CC0 1.0 Universal |
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Modeling impacts of drought-induced salinity intrusion on carbon dynamics in tidal freshwater forested wetlands
Tidal freshwater forested wetlands (TFFW) provide critical ecosystem services including essential habitat for a variety of wildlife species and significant carbon sinks for atmospheric carbon dioxide. However, large uncertainties remain concerning the impacts of climate change on the magnitude and variability of carbon fluxes and storage across a range of TFFW. In this study, we developed a proces
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Modeling impacts of drought-induced salinity intrusion on carbon dynamics in tidal freshwater forested wetlands
Tidal freshwater forested wetlands (TFFW) provide critical ecosystem services including essential habitat for a variety of wildlife species and significant carbon sinks for atmospheric carbon dioxide. However, large uncertainties remain concerning the impacts of climate change on the magnitude and variability of carbon fluxes and storage across a range of TFFW. In this study, we developed a proces
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Hongqing Wang, Zhaohua Dai, Carl C. Trettin, Ken Krauss, Gregory Noe, Andrew J. Burton, Camille Stagg, Eric Ward