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GCE-LTER Data Set Summary
| Accession: | PLT-GCET-2409 | Research Theme: | Plant Ecology (Graduate Thesis Study) |
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| Contributors: | Kyle Runion, Merryl Alber, Deepak Mishra, Mark Lever, Christine Hladik, Jessica O'Connell | ||
| Title: | Spartina alterniflora above- and belowground biomass predictions and inundation intensity as estimated by the Belowground Ecosystem Resiliency Model for U.S. Georgia marshes from 2014 to 2023. | ||
| Abstract: | We applied the Belowground Ecosystem Resiliency Model (BERM) to estimate monthly aboveground biomass (AGB) and belowground biomass (BGB) in U.S. Georgia Spartina alterniflora marshes from 2014 to 2023 at 30 m scale. This application involved BERM version 2.0 (https://doi.org/10.5281/zenodo.13306821), which was built using data in the PLT-GCET-2308 dataset (https://dx.doi.org/10.6073/pasta/4a0b715104849d98320fcc34e7cd63a4). Data sources for BERM application included Landsat-8/9, NOAA CO-OPS Station ID: 8670870, Daymet, and USGS 3DEP 2018 DEM. Download and processing steps are described in the BERM code and in metadata methods section. Specific descriptions of data processing are available in model code: https://doi.org/10.5281/zenodo.13306821. Data provided here include model output of AGB estimates, BGB estimates, and calculated inundation intensity. See "Data reporting" method in the metadata for description of data files. For logisitical purposes here we present only select data from the model input and output. All model input data sources as listed in the abstract are publicly available. Model calibration data and code are published as well. Additional predictions not published here include foliar chlorophyll, foliar nitrogen, and leaf area index. | ||
| DOI: | 10.6073/pasta/286d539cac2353abbc7c993dad840a76 | ||
| Key Words: | Belowground Ecosystem Resiliency Model, BERM, biomass, Georgia, modeling, monthly, predictions, salt marshes, Spartina alterniflora | ||
| LTER Core Area: | Primary Production | ||
| Research Themes: | Plant Ecology, Marsh Ecology | ||
| Study Period: | 15-Jan-2014 to 15-Dec-2023 | ||
| Study Sites: |
GA_Coast -- Georgia Coast, Southeast Georgia
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| Data References: | PLT-GCET-2308 (Data set for BERM model) | ||
Downloads: 
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Zip archive (ancillary data): PLT-GCET-2409_berm_output (Output files from BERM model) Access: Public (released 29-Nov-2024) Metadata: XML (Ecological Metadata Language) Data Formats: Zip archive [2.54 GB] |
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| Citation: | Runion, Kyle. 2024. Spartina alterniflora above- and belowground biomass predictions and inundation intensity as estimated by the Belowground Ecosystem Resiliency Model for U.S. Georgia marshes from 2014 to 2023. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/286d539cac2353abbc7c993dad840a76 | ||
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