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Barrier islands provide important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism (Barbier and others, 2011; Feagin and others, 2010). These islands tend to be dynamic due to their location along the estuarine-marine interface. Besides gradual changes caused by constant forces, such as currents and tides, barrier islands face numerous threats including hurricanes, accelerated sea-level rise, oil spills, and anthropogenic impacts (Pilkey and Cooper, 2014). These threats are likely to influence the future of barrier islands in the latter part of the 21st century, especially as climate-related threats to coastal areas are expected to increase...
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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Timucuan Ecological and Historic Preserve. These datasets were developed using 1-m digital elevation model (DEM) from 2018 with reduced elevation error in coastal wetlands (McHenry and others, 2023). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding...
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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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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s San Juan National Historic Site. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National Oceanic and Atmospheric...
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MethodsStudy area: Our initial study area included the entire globe. We began with a seamless grid of cells with a resolution of 0.5 degrees (i.e., ~50 km at the equator). Next, we created polylines representing coastlines using SRTM (Shuttle Radar Topographic Mission) v4.1 global digital elevation model data at a resolution of 250 m (Reuter et al. 2007). We used these coastline polylines to identify and retain cells that intersected the coast. We excluded 192,227 cells that did not intersect the coast. To avoid cells with minimal potential coastal wetland habitat, we used the coastline data to remove an additional 1,056 coastal cells that contained less than or equal to 5% coverage of land. We also removed 176...
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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s De Soto National Memorial. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National oceanic and Atmospheric Administration...
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We characterized coastal wetland responses to flooding stress by measuring vegetation cover, wetland elevation and water elevation in healthy and degrading wetlands dominated by Spartina patens. Wetland elevation was measured using real-time kinematic survey methods. Vegetation cover was determined by visual estimation methods, and water elevation was measured using in situ continuous recorders. In addition to these local-scale responses, we also measured landscape-scale patterns of land and water aggregation or fragmentation using remotely sensed data (Jones et al., 2018). Associated products: Jones, W.R., Hartley, S.B., Stagg, C.L., and Osland, M.J. 2018. Land-water classification for selected sites in McFaddin...
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This dataset consists of a file geodatabase containing the digitized ecotone boundaries between mangroves and freshwater marsh in 2013 and 2019 at 14 systematically selected segments in Big Cypress National Preserve and Everglades National Park (southwest Florida, USA).
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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Biscayne National Park. For information on the digital elevation model (DEM) source used to develop these datasets refer to the corresponding spatial metadata file (Danielson and others, 2023). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2040 and 2080 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major hight tide flooding...
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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Big Cypress National Preserve. For information on the digital elevation model (DEM) source used to develop these datasets refer to the corresponding spatial metadata file (Danielson and others, 2023). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding...
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A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea-levels. In this study, we loosely coupled a habitat model framework with decadal hydrodynamic geomorphic model outputs to forecast habitats for 2 potential future conditions related to storminess (that is, "medium" storminess and "high" storminess based on storm climatology data) and 4 sea-level scenarios (that is, a "low" increase in sea level 0.3 m by around 2030 and 2050 and 1.0 m by around...
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The study area included the coasts of all five U.S. states along the northern Gulf of Mexico (i.e., Florida, Alabama, Mississippi, Louisiana, and Texas). We contacted federal, state, and university-affiliated scientists working with SET-MH data within this area to obtain the geographic coordinates and the installation year for each SET-MH station. Please note that while our inventory is extensive and includes most SET-MH stations in the region, our inventory is not fully exhaustive; in other words, it is possible that some stations in the region are not contained within this inventory. The SET-MH stations in our dataset include original SET, deep rod SET (RSET), and shallow RSET benchmarks.
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Global climate change is leading to large-scale shifts in species’ range limits. For example, rising winter temperatures are shifting the abundance and distributions of tropical, cold sensitive plant species towards higher latitudes. Coastal wetlands provide a prime example of such shifts, with tropical mangrove forests expanding into temperate salt marshes as winter warming alleviates past geographic limits set by cold intolerance. These rapid changes are dynamic and challenging to monitor, and uncertainty remains regarding the extent of mangrove expansion near poleward range limits. Here, we synthesized existing datasets and expert knowledge to assess the current (i.e., 2021) distribution of mangroves near dynamic...
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In coastal wetlands, one of the most striking examples of climate change is the poleward range expansion of mangrove forests in response to warming winters. In North America, the Cedar Key region has often been considered the range limit for mangroves along the western coast of Florida (USA). However, within the past several decades, robust stands of Avicennia germinans and Rhizophora mangle have been observed in the Apalachicola Bay region, which is 200 km northwest of Cedar Key. This dataset characterizes the distribution and structure of the mangroves in the Apalachicola Bay area of Florida identified via extensive ground surveys and photointerpretation of aerial imagery from 2018 to 2019.
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Twenty-three long-term mangrove vegetation plots were established between 1992-1997 within the southwest coastal region of Everglades National Park (Florida, USA) to quantify tree damage and recovery following hurricanes and to understand the effects of global climate change. Many of the mangrove vegetation plots were associated with hydrology, soil porewater, and soil surface elevation monitoring stations. Within each plot, trees were tagged, mapped, and identified to species. The diameter at breast height (DBH) and status of each tree were measured at one to two year intervals through 2011. This dataset includes 51,730 tree measurements.
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Due to their position at the land-sea interface, coastal wetlands are sensitive to sea-level rise and many other aspects of global change. Small changes in coastal wetland surface elevation can lead to comparatively large changes in coastal wetland ecosystem structure and function, and in some cases wetland loss. The surface elevation table (SET)-marker horizon (MH) approach (SET-MH, together) is a method for quantifying net wetland surface elevation change while accounting for the relative contributions of various biological, geological, and hydrological processes that can occur within different segments of the soil profile (e.g., deep, shallow subsurface, and surface soil depths). This data release includes long-term...
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This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Dry Tortugas National Park. These datasets were developed using digital elevation model (DEM) from National Oceanic and Atmospheric Administration (NOAA). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by NOAA. We estimated...
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High-resolution elevation data provide a foundational layer needed to understand regional hydrology and ecology under contemporary and future-predicted conditions with accelerated sea-level rise. While the development of digital elevation models (DEMs) from light detection and ranging data has enhanced the ability to observe elevation in coastal zones, the elevation error can be substantial in densely vegetated coastal wetlands. In response, we developed a machine learning model to reduce vertical error in coastal wetlands for a 1-m DEM from 2018 that covered Nassau and Duval Counties, Florida. Error was reduced by using a random forest regression model within situ observations and predictor variables from optical...
A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea level (Enwright and others, 2020). This USGS data release contains five habitat model predictions from the aforementioned modeling effort. These include: (1) the contemporary period (that is, 2015); (2) with action Year 0 (that is, hypothetically, predicted habitat coverage in 2128 based on our sea-level change rate); (3) with action Year 10 (that is, predicted habitat coverage after ten years...


map background search result map search result map Climatic controls on the global distribution, abundance, and species richness of mangrove forests Everglades National Park sediment elevation and marker horizon data release Assessing coastal wetland vulnerability to sea-level rise along the northern Gulf of Mexico coast: gaps and opportunities for developing a coordinated regional sampling network Modeling barrier island habitats using landscape position information for Dauphin Island, Alabama Local and landscape-scale data describing patterns of coastal wetland loss in the Texas Chenier Plain, U.S.A., 2017-2018 Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico Assessing habitat change and migration of barrier islands Estuarine drainage area boundaries for the conterminous United States Mangrove distribution in the southeastern United States in 2021 Potential landward migration of coastal wetlands in response to sea-level rise within estuarine drainage areas and coastal states of the conterminous United States Corrected digital elevation model in coastal wetlands in Nassau and Duval Counties, Florida, 2018 Sea-level rise and high tide flooding inundation probability and depth statistics in Nassau and Duval Counties, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at Biscayne National Park, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at Big Cypress National Preserve, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at Dry Tortugas National Park, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at De Soto National Memorial, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at San Juan National Historic Site, Puerto Rico Digitized mangrove-marsh ecotone boundaries for Everglades National Park and Big Cypress National Preserve (Florida, USA) in 2013 and 2019 Everglades mangrove vegetation data from 23 long-term plots (1992-2011) Sea-level rise and high tide flooding inundation probability and depth statistics at De Soto National Memorial, Florida Sea-level rise and high tide flooding inundation probability and depth statistics at San Juan National Historic Site, Puerto Rico Sea-level rise and high tide flooding inundation probability and depth statistics at Dry Tortugas National Park, Florida Modeling barrier island habitats using landscape position information for Dauphin Island, Alabama Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Assessing habitat change and migration of barrier islands Local and landscape-scale data describing patterns of coastal wetland loss in the Texas Chenier Plain, U.S.A., 2017-2018 Everglades National Park sediment elevation and marker horizon data release Everglades mangrove vegetation data from 23 long-term plots (1992-2011) Sea-level rise and high tide flooding inundation probability and depth statistics at Biscayne National Park, Florida Digitized mangrove-marsh ecotone boundaries for Everglades National Park and Big Cypress National Preserve (Florida, USA) in 2013 and 2019 Sea-level rise and high tide flooding inundation probability and depth statistics at Big Cypress National Preserve, Florida Mangrove distribution in the southeastern United States in 2021 Assessing coastal wetland vulnerability to sea-level rise along the northern Gulf of Mexico coast: gaps and opportunities for developing a coordinated regional sampling network 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 Climatic controls on the global distribution, abundance, and species richness of mangrove forests