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Person

Gordon H Anderson

Emeritus

Wetland and Aquatic Research Center

Email: gordon_anderson@usgs.gov
Office Phone: 352-264-3487
ORCID: 0000-0003-1675-8329

Location
WARC - GVL - South Modular
7920 NW 71St Street
Gainesville , FL 32653
US

Supervisor: Deborah M Epperson
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Soil porewater (30cm and 60cm depth) was sampled for specific conductance, salinity and temperature in the southwest coastal Everglades, Everglades National Park from 1997-2012 at four sampling locations. Principal sampling location (HR) was located adjacent the Harney River and had five sampling sites (~ 60m apart) along a 300m N-S transect in a coastal mangrove fringe forest sampled from 1997-2011. Porewater was sampled from 2002-2012 at three secondary locations: Tarpon Bay (TB), Shark River (SR) and Shark Slough (SS). At each of these sampling locations, there were at least three 30cm and three 60cm porewater sampling pipes.
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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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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...
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This data set contains measurements of black mangrove (Avicennia germinans) leaf damage following the February 2021 freeze event that affected mangroves in the northern Gulf of Mexico.
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