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Accurate elevation data in coastal wetlands is crucial for planning for sea-level rise. Elevation surveys were conducted across southwest Florida wetlands to provide ground validation of LiDAR as well as target long-term monitoring stations (surface elevation tables). Surveys were conducted in June 2021 across Ding Darling National Wildlife Refuge, Clam Bay, Rookery Bay National Estuarine Research Reserve, and Ten Thousand Islands National Wildlife Refuge. A combination of post-processed kinematic GPS and differential levelling survey techniques were employed, depending on the canopy cover.
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We quantified the potential area available for landward migration of tidal saline wetlands and freshwater wetlands due to sea-level rise (SLR) at the estuary scale for 166 estuarine drainage areas and at the state scale for 22 coastal states and District of Columbia. We used 2016 Coastal Change Analysis Program (C-CAP) data in combination with the future wetland migration data under the 1.5 m global SLR scenario to evaluate the potential for wetland migration into all the individual C-CAP classes and into the following six land cover categories: (1) freshwater forest (wetland); (2) freshwater marsh (wetland); (3) terrestrial forest (upland); (4) terrestrial grassland (upland); (5) agricultural croplands (upland);...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
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Elevation projections from the WARMER-Mangroves model for J N. "Ding" Darling National Wildlife Refuge across a range of sea-level rise scenarios (53, 115, and 183 cm by 2100). The model was calibrated using dated soil cores sampled from the basin hydrologic zone. These data support the following publication: Buffington, K.J., Thorne, K.M., Krauss, K.W., Conrad, J.K., Drexler, J.Z., and Zhu, Z., in-review. Vulnerability of Sanibel Island’s mangrove resources to sea-level rise (Florida, USA).
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
These datasets provide information on plant alpha, beta, and gamma diversity, and plant species abundance at several spatial scales for tidal wetlands along a salinity gradient in the San Francisco Bay-Delta and an impounded brackish wetland complex in Suisun Marsh, California. Files include diversity metrics calculated at the patch, site, and region scales, average percent cover of wetland dominant plants at the patch scale, and average percent cover of all wetland plants at the site scale. These data support the following paper: Jones, S.F., Janousek, C.N., Casazza, M.L., Takekawa, J.Y. and Thorne, K.M., 2021. Seasonal impoundment alters patterns of tidal wetland plant diversity across spatial scales. Ecosphere,...
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This dataset provides seedling density and site characteristics for 131 plots in Whiskeytown National Recreation Area in California, USA. Site characteristics include modeled seed availability and terrain indices calculated using a 1 meter resolution digital elevation model (DEM).
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image...
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This dataset contains avian survey observations across four tidal marsh areas around San Francisco Bay. Multiple surveys were conducted around both high and low tides during the winter of 2010/11. Each survey alternated between scan and focals. During scans, all observable birds were counted. During focals, the behavior of a single, randomly selected bird was observed. Water level data was collected concurrently at each site and is provided with the avian survey data. These data support the following publication: Thorne, K.M., Spragens, K.A., Buffington, K.J., Rosencranz, J.A. and Takekawa, J., 2019. Flooding regimes increase avian predation on wildlife prey in tidal marsh ecosystems. Ecology and evolution, 9(3),...
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This datasets summarizes small mammal trapping efforts that USGS San Francisco Bay Estuary Field Station has led, co-led, or supervised, to detect and monitor the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in the northern reaches of San Francisco Bay from 1998-2014. As the salt marsh harvest mouse is listed as endangered under the Endangered Species Act, sensitive location information can be made available upon request by contacting the dataset point of contact. These data support the following publication: Marcot, B.G., Woo, I., Thorne, K.M., Freeman, C.M., and Guntenspergen, G.R., 2020. Habitat of the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in San Francisco Bay....
This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture....
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The U.S. Geological Survey, Western Ecological Research Center collected sediment and accretion data at a wave-exposed tidal salt marsh in South San Francisco Bay, California. Sediment traps and feldspar marker horizons (MH) were deployed along transects of increasing distance from the sediment source, at primary, secondary and tertiary marsh channels/bay. Data were collected bi-monthly over two month periods in summer 2021 and winter 2021/2022. Included here are trap and MH plot locations, calculated sediment fluxes at each station by deployment period, annual accretion rates, and covariates associated with sediment deposition and accretion including vegetation structure and elevation. This project aimed to assess...
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Decomposition of plant matter is one of the key processes affecting carbon cycling and storage in tidal wetlands. In this study, we evaluated the effects of factors related to climate change (temperature, inundation) and vegetation composition on rates of litter decay in seven tidal marsh sites along the Pacific coast. In 2014 we conducted manipulative experiments to test inundation effects on litter decay at Siletz Bay, OR and Petaluma marsh, CA. In 2015 we studied decay of litter in high and low elevation marshes at seven Pacific coast sites. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R., Thorne, K.M., Dugger, B.D. and Takekawa, J.Y., 2017. Inundation, vegetation,...
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Soil cores were collected in mangrove forests across Pohnpei, Federated States of Micronesia to understand spatial variation in accretion rates. Cores were dated using lead-210 and processed for bulk density and organic matter percent through loss-on-ignition analysis. A total of 30 cores were successfully dated across seven regions around the island.
Surface elevation tables with marker horizons (SET-MH) measure millimeter-scale changes in elevation over time. A combination of pin measurements (elevation change) and surface deposition measurements (marker horizon) is used to distinguish elevation changes due to belowground and aboveground processes. SET-MHs were installed in 2016 and were measured quarterly across five tidal marshes (Petaluma marsh, San Pablo Bay National Wildlife Refuge, Rush Ranch, Browns Island, and Miners Slough). These data support the following publication: Thorne, K., Jones, S., Freeman, C., Buffington, K., Janousek, C., and Guntenspergen, G. 2022. Atmospheric river storm flooding influences tidal marsh elevation building processes....
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These datasets provide information on soil properties, plant species cover, and soil surface elevation in a tidal wetland and a managed impounded wetland in northern Suisun Marsh, California, USA. These data support the following publication: Jones, S.F., Schutte, C.A., Roberts, B.J. and Thorne, K.M., 2022. Seasonal impoundment management reduces nitrogen cycling but not resilience to surface fire in a tidal wetland. Journal of environmental management, 303, p.114153. https://doi.org/10.1016/j.jenvman.2021.114153.
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for area surrounding the Martin National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013)...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding the Eastern Neck National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral...
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The sensitivity of tidal marshes to environmental changes that result from sea-level rise or drought conditions is uncertain. We used a controlled greenhouse experiment and factorial flooding x salinity treatments to explore the differential responses of three tidal marsh plant species. Each species exhibited unique responses, with negative responses to increased salinity and longer flooding, but only limited evidence for interactive effects. These data support the following publication: Buffington, K.J., Goodman, A.C., Freeman, C.M. and Thorne, K.M., 2020. Testing the interactive effects of flooding and salinity on tidal marsh plant productivity. Aquatic Botany, p.103231.


map background search result map search result map Decomposition of plant litter in Pacific coast tidal marshes, 2014-2015 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected DEM for Suisun Marsh San Francisco Bay Tidal Marsh Avian Predator Surveys, 2010 Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 LEAN-Corrected Collier County DEM for wetlands Small Mammal Surveys from Northern San Francisco Bay: 1998-2014 Pacific Northwest tidal marsh plant biomass from a 2017 greenhouse experiment with flooding and salinity manipulations Impounded and tidal wetland plant diversity and composition across spatial scales, San Francisco Bay-Delta, California, USA (2016-2018) Soil, Plant, and Elevation Characteristics of Tidal and Managed Impounded Wetlands in Suisun Marsh, California, USA (2018-2019) Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States Elevation Survey Across Southwest Florida Coastal Wetlands, 2021 Surface Elevation Table Measurements at Five Tidal Marshes Across the San Francisco Bay-Delta (2016-2019) Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area Elevation and Mangrove Cover Projections under Sea-Level Rise Scenarios at J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, 2020-2100 Soil Characteristics and Accretion Rates in Mangrove Forests across Pohnpei, Federated States of Micronesia Sediment Deposition and Accretion Data from a Tidal Salt Marsh in South San Francisco Bay, California 2021-2022 Soil, Plant, and Elevation Characteristics of Tidal and Managed Impounded Wetlands in Suisun Marsh, California, USA (2018-2019) Pacific Northwest tidal marsh plant biomass from a 2017 greenhouse experiment with flooding and salinity manipulations Sediment Deposition and Accretion Data from a Tidal Salt Marsh in South San Francisco Bay, California 2021-2022 Elevation and Mangrove Cover Projections under Sea-Level Rise Scenarios at J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, 2020-2100 Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area LEAN-Corrected DEM for Suisun Marsh Soil Characteristics and Accretion Rates in Mangrove Forests across Pohnpei, Federated States of Micronesia Small Mammal Surveys from Northern San Francisco Bay: 1998-2014 Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Elevation Survey Across Southwest Florida Coastal Wetlands, 2021 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected Collier County DEM for wetlands Impounded and tidal wetland plant diversity and composition across spatial scales, San Francisco Bay-Delta, California, USA (2016-2018) Decomposition of plant litter in Pacific coast tidal marshes, 2014-2015 Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States