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Filters: partyWithName: Glenn R Guntenspergen (X) > partyWithName: Ecosystems (X)

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Here we provide data used to report on changes in tidal marsh elevation in relation to our network of 20 fixed benchmarks located across a geographically broad network of coastal elevation monitoring stations with standard monitoring protocols. This dataset includes Surface Elevation Table (SET) measurements taken from 10 sites along the US Atlantic coast, ranging from Virginia to Maine. Each site includes 2 SETs where repeat measurements of wetland surface elevation were made from 2005-2019.
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To quantify the potential for landward migration at the estuary level, we developed a geospatial dataset for the conterminous United States (CONUS) that identifies the boundaries for estuarine drainage areas. Nine estuarine drainage areas in south Florida were delineated using data developed by the South Florida Water Management District (SFWMD 2018). For the rest of CONUS, we used information contained within the National Fish Habitat Action Plan (NFHAP) - Coastal Spatial Framework (CSF) (National Centers for Coastal Ocean Science 2021). The original NFHAP-CSF data included 612 drainage areas, which were too many for our purposes. Therefore, we merged smaller drainage areas with larger, adjacent drainage areas...
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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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Light intensity levels in lux from upper sensors in Moneystump marsh at Blackwater National Wildlife Refuge MD. There are 25 light sensors all located in the control treatment area. Five sensors are located in the lowest elevation (marsh), five located in the upper marsh, five located in the marsh-forest transition zone (ecotone), five located in the lower forest, and five located in the highest elevation (upper forest). Data covers the time span from October 1 2015 - September 30 2019.
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Here we provide data used to report on changes in tidal marsh elevation in relation to our network of 387 fixed benchmarks in tidal marshes on four continents measured for an average of 10 years. During this period RSLR at these marshes reached on average 6.6 mm yr-1, compared to 0.34 mm yr-1 over the past millennia. While the rate of sediment accretion corresponded to RSLR, the loss of elevation to shallow subsidence increased in proportion to the accretion rate. This caused a deficit between elevation gain and RSLR which increased consistently with the rate of RSLR regardless of position within the tidal frame, suggesting that long-term in situ tidal marsh survival is unlikely. While higher tidal range (>3m) conferred...
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We measured turbidity along transects from channel to marsh interior for 4 sites along the east coast of the United States at: Mockhorn Island, on the Eastern Shore of VA, USA; Plum Island in MA, USA; Goodwin Islands on the York River, VA USA; and the Altamaha River estuary, in GA, 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 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 is comprised of eight files related to salt marsh monitoring data or measures of of human disturbance (i.e. human impacts in terms of physical, chemical, and land-use stressors) collected at 33 marsh study units (MSUs) in five National Parks within the NPS Northeast Coastal and Barrier Network (NCBN) along the northeastern coast of the US. Two files contain data related to the species and coverage of salt marsh vegetation observed in MSUs (1 data file, 1 definitions file). Two files contain data related to the species and abundance of nekton collected from creeks, pools and ditches in MSUs (1 data file, 1 definitions file). Two files contain data related to the height of key salt marsh vegetation species...
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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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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Recent data syntheses have clarified future relative sea-level rise exposure and sensitivity thresholds for drowning. We integrated these advances to estimate when and where rising sea levels could cross thresholds for initiating wetland drowning across the conterminous United States. We evaluated three sea-level rise thresholds for wetland drowning (4, 7, and 10 mm/yr). Our study area spans the coastal conterminous United States, which includes Washington, D.C. and 22 coastal states along the Pacific Ocean, Gulf of Mexico, and Atlantic Ocean. Within the study area, we created a grid of 168 1-degree resolution cells for data acquisition and analyses. We examined three alternative sea-level rise scenarios, the Intermediate-Low,...
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This data set includes a variety of bulk organic carbon, lignin-phenol biomarker, and sedimentation rate data from a set of sites in the Blackwater Marsh in Chesapeake Bay. At each site, a short core was taken, and all data is organized according to depth below the marsh surface. Data includes: Bulk %OC, bulk %N, atomic carbon:nitrogen ratios, stable carbon isotopes (d13C) Lignin-phenol biomarker parameters, including 8, Ad:Alv, C:V, S:V, and the individual concentrations of each lignin-phenol (in lambda units, or mg per 100 mg OC). Pb-210 and Cs-137 activities Sediment bulk densities In addition to the sediment core data, we are also including d13C values from vegetation samples collected from each of the marsh...
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We measured turbidity along a transect from channel to marsh interior for 1 year, beginning in June 2016 at a salt mash in the Altamaha River estuary. We measured turbidity (NTU) with three optical back scatter sensors to in a shore normal transect, with one in the channel (YSI 6600), and two on the marsh surface. The “marsh edge sensor” was 2.4m from the channel edge (Seapoint, RBR Solo) and the “marsh interior sensor” was 18m from the edge (Seapoint, RBR Duo; Figure 1c). The sensors measured every 15 minutes and were equipped with automatic wipers to reduce biofouling. Following retrieval, the turbidity time series data was filtered to remove any erroneous points and times when the sensors were fouled or exposed...
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Turbidity and calibrated suspended sediment concentration measurements were collected along a shore-normal transect from the channel in West Creek, Rowley, MA extending 24 meters into the marsh interior at Law's Point at the PIE LTER. Data was collected every 15 minutes over two different growing seasons during 2016 and 2017, totaling 9 months.
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Turbidity was measured in Mockhorn Island Marsh on the Atlantic coast of the Delmarva Peninsula. Three RBR Duo sensors were used. One was located at the edge of the marsh, one 7.8 meters away from the edge station in the channel and one in the marsh interior. Data was recorded every 15 minutes.
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Water levels in meters from four wells in Moneystump marsh at Blackwater National Wildlife Refuge, MD. Two wells are located in the upland forest; one well is located in the marsh-forest transition zone (ecotone); and one well is located in the marsh. Water depth of the adjacent creek is reported in meters. Data covers the time span from November 11 2016 - November 11 2017. Pressure transducer data from the wells corrected to water level using barometric pressure loggers located in 3 locations throughout the experiment. Water levels are in units of meters referenced to vertical datum NAVD88. Raw pressure data is in units of kilopascals (kPa). Pressure transducer locations and elevation data from GNSS and digital...
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We conducted a field experiment at the Moneystump Swamp in the Blackwater National Wildlife Refuge in Dorchester, MD, USA to simulate a natural forest disturbance event (e.g., storm-induced flooding) by inducing the death of established trees (coastal loblolly pine, Pinus taeda) at the marsh-upland forest ecotone. There were three treatment components: Cut- where the trees were cut and removed, Girdled- where the bark was stripped from the base of the trees killing them and leaving them standing, and Control- where the trees were left alive. After this simulated disturbance in 2015, we monitored changes in vegetation along an elevation gradient in control and treatment areas to determine if disturbance can lead...
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We measured turbidity along a transect from channel to marsh interior from December 2015 to January 2017 at a salt mash at the mouth of the York River in the Chesapeake Bay, VA, USA. We measured turbidity (NTU) with three optical back scatter sensors (YSI EXO) to in a shore normal transect, with one in the channel and two on the marsh surface at 1m from the marsh edge and 12m from the marsh edge, respectively. The sensors measured every 15 minutes and were equipped with automatic wipers to reduce biofouling. Following retrieval, the turbidity time series data was filtered to remove any erroneous points and times when the sensors were fouled or exposed (Coleman et al. 2020).
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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 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 (Eastern Neck, Bishops Head, Martin, and Blackwater) in 2010 and 2017, Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013), a 1 m lidar DEM and a 1 m canopy surface model were used to generate...
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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...


map background search result map search result map Decomposition of plant litter in Pacific coast tidal marshes, 2014-2015 Development of a Multimetric Index (MMI) for Integrated Assessment of Salt Marsh Ecosystem Condition NCBN Vegetation & Nekton Data LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Light intensity data (October 1 2015 through September 2019) for upper sensors: in the control treatment, Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Water levels (November 11 2016 through November 11 2017) for four wells: from upland to marsh, Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Changes in Organic Carbon Source and Storage with Sea Level Rise-Induced Transgression in a Chesapeake Bay Marsh Environmental and Vegetation Data from Marsh-Forest Transgression Experiment at Blackwater National Wildlife Refuge, MD, USA Salt Marsh Turbidity at Mockhorn Island, VA; Plum Island, MA; York River, VA; and Altamaha River, GA Salt Marsh Turbidity at Altamaha River, GA 2015-2017 Salt Marsh Turbidity at Mockhorn Island, VA 2017-2018 Salt Marsh Turbidity at York River, VA 2015-2017 Salt Marsh Turbidity at Plum Island, MA , 2016-2017 Estuarine drainage area boundaries for the conterminous United States Constraints on marsh response to accelerating sea level rise Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States Surface Elevation Tablet Measurements from 10 USGS Sites Along the US Atlantic Coast (2005-2020) When and where could rising seas cross thresholds for initiating wetland drowning across conterminous United States? Salt Marsh Turbidity at Plum Island, MA , 2016-2017 Salt Marsh Turbidity at Mockhorn Island, VA 2017-2018 Salt Marsh Turbidity at York River, VA 2015-2017 Salt Marsh Turbidity at Altamaha River, GA 2015-2017 Water levels (November 11 2016 through November 11 2017) for four wells: from upland to marsh, Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Light intensity data (October 1 2015 through September 2019) for upper sensors: in the control treatment, Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Environmental and Vegetation Data from Marsh-Forest Transgression Experiment at Blackwater National Wildlife Refuge, MD, USA Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Development of a Multimetric Index (MMI) for Integrated Assessment of Salt Marsh Ecosystem Condition NCBN Vegetation & Nekton Data Decomposition of plant litter in Pacific coast tidal marshes, 2014-2015 Surface Elevation Tablet Measurements from 10 USGS Sites Along the US Atlantic Coast (2005-2020) Salt Marsh Turbidity at Mockhorn Island, VA; Plum Island, MA; York River, VA; and Altamaha River, GA Constraints on marsh response to accelerating sea level rise Estuarine drainage area boundaries for the conterminous United States Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States When and where could rising seas cross thresholds for initiating wetland drowning across conterminous United States?