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Filters: partyWithName: Western Ecological Research Center (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Karen M Thorne (X)

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Accurate input data are important for making site-specific projections of tidal wetlands into the future. We developed bias-corrected digital elevation models (DEM) using the LEAN approach (LiDAR Elevation Adjustment with NDVI). LEAN DEMs were used as the initial elevation for model projections. Further, we conducted elevation and vegetation surveys across each study site to characterize elevation profiles of dominant species, which were used to inform organic productivity functions in WARMER-2.
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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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Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110. Baseline elevations were collected with RTK GPS units and LiDAR elevations in non-surveyed areas were also corrected using LEAN method. Historical accretion rates were collected at each salt marsh and used to parameterize WARMER, predicting future elevations. These data support the following publication: Rosencranz JA, Thorne KM, Buffington KJ, et al. Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes. Ecol Evol. 2018;00:1–11. https://doi.org/10.1002/ece3.4196
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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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Understanding the rates and patterns of tidal wetland elevation changes relative to sea-level is essential for understanding the extent of potential wetland loss over the coming years. Using an enhanced and more flexible modeling framework of an ecosystem model (WARMER-2), we explored sea-level rise (SLR) impacts on wetland elevations and carbon sequestration rates through 2100 by considering plant community transitions, salinity effects on productivity, and changes in sediment availability. We incorporated local experimental results for plant productivity relative to inundation and salinity into a species transition model, as well as site-level estimates of organic matter decomposition. The revised modeling framework...
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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).
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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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...
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Habitat projections from the WARMER-2 model for four tidal wetland sites in San Francisco Bay estuary under the constant sediment scenario, plus 0.2 ppt per decade salinity scenario, and the community transition organic productivity function under a 99 cm by 2100 sea-level rise scenario. Results are the average from one hundred Monte Carlo simulations.
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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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Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110. Baseline elevations were collected with RTK GPS units and LiDAR elevations in non-surveyed areas were also corrected using LEAN method. Historical accretion rates were collected at each salt marsh and used to parameterize WARMER, predicting future elevations.
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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....
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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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Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110. Baseline elevations were collected with RTK GPS units and LiDAR elevations in non-surveyed areas were also corrected using LEAN method. Historical accretion rates were collected at each salt marsh and used to parameterize WARMER, predicting future elevations.
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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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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.
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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Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110. Baseline elevations were collected with RTK GPS units and LiDAR elevations in non-surveyed areas were also corrected using LEAN method. Historical accretion rates were collected at each salt marsh and used to parameterize WARMER, predicting future elevations.


map background search result map search result map Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110 Mugu salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 Newport salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 Seal Beach salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 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 LEAN-Corrected Collier County DEM for wetlands Small Mammal Surveys from Northern San Francisco Bay: 1998-2014 Impounded and tidal wetland plant diversity and composition across spatial scales, San Francisco Bay-Delta, California, USA (2016-2018) WARMER-2 Model Inputs and Projections for Three Tidal Wetland Sites Across San Francisco Bay Estuary WARMER-2 Model Inputs for Three Tidal Wetland Sites Across San Francisco Bay Estuary Tidal Wetland Habitat Projections with Sea-level Rise Across Sites in the San Francisco Bay Estuary (2020-2100) Soil, Plant, and Elevation Characteristics of Tidal and Managed Impounded Wetlands in Suisun Marsh, California, USA (2018-2019) 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 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) Seal Beach salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 Mugu salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 Newport salt marsh digital elevation model output, sea-level rise scenarios, 2010-2110 Sediment Deposition and Accretion Data from a Tidal Salt Marsh in South San Francisco Bay, California 2021-2022 Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area LEAN-Corrected DEM for Suisun Marsh Small Mammal Surveys from Northern San Francisco Bay: 1998-2014 Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 WARMER-2 Model Inputs and Projections for Three Tidal Wetland Sites Across San Francisco Bay Estuary WARMER-2 Model Inputs for Three Tidal Wetland Sites Across San Francisco Bay Estuary Tidal Wetland Habitat Projections with Sea-level Rise Across Sites in the San Francisco Bay Estuary (2020-2100) Surface Elevation Table Measurements at Five Tidal Marshes Across the San Francisco Bay-Delta (2016-2019) San Francisco Bay Tidal Marsh Avian Predator Surveys, 2010 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) Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110