Data for: Development of a learning community focused on sea-level rise and coastal habitat change
Data files
Jan 19, 2024 version files 9.30 MB
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biomass.csv
5.40 KB
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ecotone_water_levels_metadata.csv
3.24 KB
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ecotone_water_levels_pine_neck.csv
1.51 MB
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ecotone_water_levels_tuckahoe.csv
1.63 MB
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ecotone_water_levels_waquoit.csv
1.81 MB
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greenhouse_gases.csv
22.75 KB
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photosynthesis.csv
12.61 KB
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pine_inter.tfw
90 B
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pine_inter.tif
396.28 KB
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Pine_Neck_Points.zip
7.73 KB
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platform__water_level_metadata.csv
2.94 KB
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platform_water_levels_mashomack.csv
987.67 KB
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platform_water_levels_tuck.csv
847.83 KB
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platform_water_levels_waquoit.csv
1.08 MB
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README.md
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salinity_data.csv
29.37 KB
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tuck_inter.tfw
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tuck_inter.tif
265.17 KB
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Tuck_points.zip
8.34 KB
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waq_east.tfw
90 B
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waq_east.tif
265.17 KB
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waq_west.tfw
90 B
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waq_west.tif
396.28 KB
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Waquoit_Points.zip
8.14 KB
Jun 18, 2025 version files 9.33 MB
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biomass.csv
5.40 KB
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ecotone_water_levels_metadata.csv
3.24 KB
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ecotone_water_levels_pine_neck.csv
1.51 MB
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ecotone_water_levels_tuckahoe.csv
1.66 MB
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ecotone_water_levels_waquoit.csv
1.81 MB
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greenhouse_gases.csv
22.75 KB
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photosynthesis.csv
12.61 KB
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pine_inter.tfw
90 B
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pine_inter.tif
396.28 KB
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Pine_Neck_Points.zip
7.73 KB
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platform__water_level_metadata.csv
2.94 KB
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platform_water_levels_mashomack.csv
987.67 KB
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platform_water_levels_tuck.csv
847.83 KB
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platform_water_levels_waquoit.csv
1.08 MB
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README.md
20.71 KB
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salinity_data.csv
29.37 KB
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tuck_inter.tfw
90 B
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tuck_inter.tif
265.17 KB
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Tuck_points.zip
8.34 KB
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waq_east.tfw
90 B
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waq_east.tif
265.17 KB
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waq_west.tfw
90 B
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waq_west.tif
396.28 KB
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Waquoit_Points.zip
8.14 KB
Abstract
Rapid habitat changes are occuring in salt marshes located in the Northeastern United States, including expansion of ponded areas on the marsh platform, die off of coastal forests, and subsequent colonization of 'ghost forests' by marsh vegetation. This work focuses on two main areas: (1) environmental conditions along the marsh forest border undergoing rapid transitions; and (2) environmental conditions and plant stress on marsh platforms with extensive and expanding ponding.
To better understand drivers of environmental change in marsh-forest borders undergoing rapid transitions, we measured shallow groundwater levels, soil salinity, and forest health and structure along the salt marsh-upland border at three sites (in NJ, NY, MA) with varying slopes using installation of shallow groundwater wells, drone imagery and associated image processing, and geophysical methods. To better understand drivers of environmental change on the marsh platform, we again focused on three sites (in NJ, NY, MA) where we used piezometers to understand vertical gradients in marsh groundwater levels, and measured photosynthesis and plant biomass and used drone imagery to map plant stress indices. While we anticipate that this data will be published in journal articles of the next 2 years, we archive collected data to facilitate data sharing, as required by NSF.
https://doi.org/10.5061/dryad.ghx3ffbvz
We have presented data for two areas: (1) the marsh-forest ecotone; (2) the marsh platform.
Description of the data and file structure
Marsh-forest Ecotone
The follow datafiles are available for this study:
1. water levels
ecotone _water_levels_metadata.csv
ecotone_water_levels_waquoit.csv
ecotone_water_levels_pine_neck.csv
ecotone_water_levels_tuckahoe.csv
ecotone _water_levels_metadata.csv - This file has locations and metadata for the well data from 30 wells positioned along the marsh-upland ecotone. The fields include Well ID, location, latitude, longitude, installation_day, installation_month, installation_year, inner_diameter, outer_diameter, well_top_elevation, top_of_well_to_soil, soil_elevation, start_day, start_month, start_year, end_day, end_month, and end_year. The field Well ID has names of wells, where P stands for Pine Neck, T stands for Tuckahoe, and WB for Waquoit Bay, the numbers 1-5 reflect wells where the lowest elevation wells are denoted with a 1 and the highest elevation wells are a 5, and E and W are the east and west transects. The field for location has three values: Waquoit, Pine_Neck, or Tuckahoe. The latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Installation_day, installation_month, and installation_year are the day, month, and year that the wells were installed and instrumented. The fields inner_diamter, and outer_diameter are the inner and outer diameter of the wells, in meters. The field well_top_elevation is the elevation of the top of the well in meters relative to the NAVD88 datum. The field top_of_well_to_soil is the distance from the top of the well to the soil in meters. The field soil_elevation is the elevation of the soil surface in meters relative to the NAVD88 datum. The fields start_day, start_month, and start_year are the beginning of the record, while end_day, end_month, and end_year are end of the water level record. Missing data is filled with -999.
ecotone_water_levels_waquoit.csv - This file has water level data collected at the marsh-upland ecotone at Waquoit Bay, MA. The file has the following fields: date, time,WB1E, WB2E, WB3E, WB4E, WB5E, WB1W, WB2W, WB3W, WB4W, WB5W, and WB_creek. The date is the date the water level data was collected in MM/DD/YY format. Time is time in HH:MM:SS, GMT -4:00:00. The remainder of the 11 fields are water level observations for 10 groundwater wells (WB1E, WB2E, WB3E, WB4E, WB5E, WB1W, WB2W, WB3W, WB4W, WB5W), and in the tidal creek (WB_creek), in meters relative to the NAVD88 datum. Missing data is filled with -999.
ecotone_water_levels_pine_neck.csv - This file has water level data collected at the marsh-upland ecotone at Pine Neck Preserve, NY. The file has the following fields: date, time, P1E, P2E, P3E, P4E, P5E, P1W, P2W, P3W, P4W, P5W, and PN_creek. The date is the date the water level data was collected in MM/DD/YY format. Time is time in HH:MM:SS, GMT -4:00:00. The remainder of the 11 fields are water level observations for 10 groundwater wells (P1E, P2E, P3E, P4E, P5E, P1W, P2W, P3W, P4W, P5W), and in the tidal creek (PN_creek), in meters relative to the NAVD88 datum. Missing data is filled with -999.
ecotone_water_levels_tuckahoe.csv - This file has water level data collected at the marsh-upland ecotone at Tuckahoe, NJ. The file has the following fields: date, time, T1E, T2E, T3E, T4E, T5E, T1W, T2W, T3W, T4W, and T5W. The date is the date the water level data was collected in MM/DD/YY format. Time is time in HH:MM:SS, GMT -4:00:00. The remainder of the 10 fields are water level observations for 10 groundwater wells (T1E, T2E, T3E, T4E, T5E, T1W, T2W, T3W, T4W, and T5W) in meters relative to the NAVD88 datum. Missing data is filled with -999.
2. Salinity data
salinity_data.csv
pine_inter.tif
pine_inter.tfw
tuck_inter.tif
tuck_inter.tfw
waq_east.tif
waq.east.tfw
waq_west.tif
waq_west.tfw
Waquoit_Points
Tuck_Points
Pine_Neck_Points
salinity_data.csv - This file refers to soil conductivity measured using the Geonics Model EM38-MK2 Conductivity Meter in horizontal mode collected 0.75 m above the marsh surface. This file has X fields: location, point, conductivity, latitude, longitude, measured soil salinity (salinity_m), and calculated soil salinity (salinity_c). The location field lists one three locations: Pine_Neck, Tuckahoe, and Waquoit. Point is an arbitrary field code, and may range from 0 to 200 at each location. Apparent conductivity (ECa) is reported in milliSeimans meter−1 (mS m−1), measured with the Geonics EM38-MK2. Latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Measured salinity (salinity_m), is the soil salinity measured on a 5:1 moisture to dry soil ratio. Calculated soil salinity (salinity_c) was calculated using the regression of apparent conductivity against measured soil salinity using simple linear regression, calculated empirically for each site. The regression equation for Pine Neck was y=mx+b: the regression equation for Waquoit Bay was y=mx+b; the regression location for Tuckahoe was* y*=mx+b; where *y *is calculated salinity (salinity_c), and *x *is apparent conductivity (ECa). Missing data is filled with -999.
pine_inter.tif - interpolated soil salinity map for Pine Neck Preserve, geotiff file, resolution 1m x 1m, NAD_1983_UTM_Zone18N
pine_inter.tfw - world file for pine_inter.tif
tuck_inter.tif - interpolated soil salinity map for Tuckahoe Wildlife Management Area, geotiff file, resolution 1m x 1m, NAD_1983_UTM_Zone18N
tuck_inter.tfw - world file for tuck_inter.tif
waq_east.tif - interpolated soil salinity map for Waquoit Bay, geotiff file, resolution 1m x 1m, NAD_1983_UTM_Zone18N
waq.east.tfw - world file for waq_east.tif
waq_west.tif - interpolated soil salinity map for Waquoit Bay, geotiff file, resolution 1m x 1m, NAD_1983_UTM_Zone18N
waq_west.tfw - world file for waq_west.tif
Waquoit_Points - compressed shapefile of points with seven fields for Waquoit Bay survey location: FID, Shape, lcn, Lat, Long, conductivi, and salinity. FID is an identification number. Shape, which is "point." lcn is the point code. Lat is the latitude in decimal degrees. Lon is the longitude in decimal degrees. conductiviti is apparent conductivity (ECa) in milliSeimans meter−1 (mS m−1), and salinity which is soil salinity on a 5:1 water to dry soil ratio.
Tuck_Points - compressed shapefile of points with seven fields for Tuckahoe Wildlife Management Area survey location: FID, Shape, lcn, Lat, Long, conductivi, and salinity. FID is an identification number. Shape, which is "point." lcn is the point code. Lat is the latitude in decimal degrees. Lon is the longitude in decimal degrees. conductiviti is apparent conductivity (ECa) in milliSeimans meter−1 (mS m−1), and salinity which is soil salinity on a 5:1 water to dry soil ratio.
Pine_Neck_Points - compressed shapefile of points with seven fields for Pine Neck Preserve survey location: FID, Shape, lcn, Lat, Long, conductivi, and salinity. FID is an identification number. Shape, which is "point." lcn is the point code. Lat is the latitude in decimal degrees. Lon is the longitude in decimal degrees. conductiviti is apparent conductivity (ECa) in milliSeimans meter−1 (mS m−1), and salinity which is soil salinity on a 5:1 water to dry soil ratio.
Marsh platform
The following files are available:
1. water levels
platform_water_levels_waquoit.csv
platform_water_levels_tuck.csv
platform_water_levels_mashomack.csv
platform _water_levels_metadata.csv
platform _water_levels_metadata.csv - This file has locations and metadata for the well nests positioned in healthy and fragmenting locations on the marsh platform from 12 well nests. The fields include location, latitude, longitude, plot, condition, well_depth, inner_diameter, outer_diameter, well_top_elevation, top_of_well_to_soil, soil_elevation, installation_day, installation_month, installation_year, screen_top, screen_bottom, start_day, start_month, start_year, end_day, end_month, and end_year. The field for location has three values: Waquoit, Pine_Neck, or Tuckahoe. The latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Plot has two values: 1 or 2, which refers to location 1 or 2 in each marsh. Each marsh has two locations of well nests (1 or 2), which are widely separated but there is no significant difference between them. The condition field has two potential values - A and B. A refers to good condition, B refers to marsh that is fragmented and surrounded by open water areas. The field well_depth refers to the depth of the well below the soil surface in m (0.5 m or 1.25 m). The fields inner_diameter, and outer_diameter are the inner and outer diameter of the wells, in meters. The field well_top_elevation is the elevation of the top of the well in meters relative to the NAVD88 datum. The field top_of_well_to_soil is the distance from the top of the well to the soil in meters. The field soil_elevation is the elevation of the soil surface in meters relative to the NAVD88 datum. Installation_day, installation_month, and installation_year are the day, month, and year that the wells were installed and instrumented. The fields screen_top and screen_bottom are the depth of the screened interval below the soil surface, in meters. The fields start_day, start_month, and start_year are the beginning of the record, while end_day, end_month, and end_year are end of the water level record. Missing data is filled with -999.
platform_water_levels_waquoit.csv has 10 fields: Date, Time, WB_1A_S, WB_1A_D, WB_1B_S, WB_1B_D, WB_2A_S, WB_2A_D, WB_2B_S, and WB_2B_D. The date is in the format of MM/DD/YY. The time is in the format of HH:MM:SS. The remainder of the data (WB_1A_S, WB_1A_D, WB_1B_S, WB_1B_D, WB_2A_S, WB_2A_D, WB_2B_S, and WB_2B_D) are water levels in the piezometers in meters relative to the NAVD88 datum. The fields letters are the initials WB, which refers to Waquoit Bay. The second value in the label refers to location 1 or 2 (the location can be found in the metadata file). The third value in the label refers to healthy (A) or unhealthy marsh (B). The last value in the label (S or D) refers to the screening depth of the shallow piezometer, with those screened at 0-0.5 m of depth is shallow, or S, while those screened at a depth of 1.25-1.5 m of depth is deeper, or D. Missing data is filled with -999.
platform_water_levels_tuck.csv has 10 fields: Date, Time, TU_1A_S, TU_1A_D, TU_1B_S, TU_1B_D, TU_2A_S, TU_2A_D, TU_2B_S, and TU_2B_D. The date is in the format of MM/DD/YY. The time is in the format of HH:MM:SS. The remainder of the data (TU_1A_S, TU_1A_D, TU_1B_S, TU_1B_D, TU_2A_S, TU_2A_D, TU_2B_S, and TU_2B_D) are water levels in the piezometers in meters relative to the NAVD88 datum. The fields letters are the initials TU, which refers to Tuckahoe. The second value in the label refers to location 1 or 2 (the location can be found in the metadata file). The third value in the label refers to healthy (A) or unhealthy marsh (B). The last value in the label (S or D) refers to the screening depth of the shallow piezometer, with those screened at 0-0.5 m of depth is shallow, or S, while those screened at a depth of 1.25-1.5 m of depth is deeper, or D. Missing data is filled with -999.
platform_water_levels_ mashomack.csv has 10 fields: Date, Time, MASH_1A_S, MASH _1A_D, MASH _1B_S, MASH _1B_D, MASH _2A_S, MASH _2A_D, MASH _2B_S, and MASH _2B_D. The date is in the format of MM/DD/YY. The time is in the format of HH:MM:SS. The remainder of the data (MASH_1A_S, MASH _1A_D, MASH _1B_S, MASH _1B_D, MASH _2A_S, MASH _2A_D, MASH _2B_S, and MASH _2B_D) are water levels in the piezometers in meters relative to the NAVD88 datum. The fields letters are the initials MASH, which refers to Mashomack. The second value in the label refer to location 1 or 2 (the location can be found in the metadata file). The third value in the label refers to healthy (A) or unhealthy marsh (B). The last value in the label (S or D) refers to the screening depth of the shallow piezometer, with those screened at 0-0.5 m of depth is shallow, or S, while those screened at a depth of 1.25-1.5 m of depth is deeper, or D. Missing data is filled with -999.
2. Greenhouse gas data
greenhouse_gases.csv
greenhouse_gases.csv - The greenhouse gases file reports measures of photosynthesis, respiration, net ecosystem exchange and methane emissions for marsh platform study plots in 2021 and 2022 (12 per marsh; 72 total locations; 144 measures). The file has following fields: location, latitude, longitude, plot, condition, replicate, day, month, and year the measure was collected, starting_time_light, starting_time_30_s_light, ending time_light, starting_time_dark, starting_time_30s_dark, ending time_dark, CO2_light, CO2_light_r2, CO2_light_n, CO2_dark, CO2_dark_r2, CO2_dark_n, CH4_light, CH4_light_r2, CH4_light_n, CH4_dark, CH4_dark_r2, CH4_dark_n, F_CO2_light, F_CO2_dark, FCH4_light, FCH4_dark, PS, R, CH4_mean, and CH4_mean_h.
There are three locations: Waquoit, Mashomack, and Tuckahoe. Latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Plot has two values: 1 or 2, which refers to location 1 or 2 in each marsh. Each marsh has two locations of well nests (1 or 2), which are widely separated but there is no significant difference between them. The condition field has two potential values - A and B. A refers to good condition, B refers to marsh that is fragmented and surrounded by open water areas. Replicate refers to 1, 2, or 3. There are three replicates for each point. Day refers to the day the measure was collected, month refers to the month the measure was collected, and year refers to the year the measure was collected.
The field starting_time_light refers to the time that the measure collected using the transparent chamber was collected. The field starting_time_30_s_light refers to the time that the measure collected using the transparent chamber was collected plus 30 seconds (we started the analysis 30 seconds in to account for the transit time through tubing). The field ending time_light refers to the ending time of the incubation.
The field starting_time_dark refers to the time that the measure collected using the opaque chamber was collected (clear chamber covered with black out cloth). The field starting_time_30s_dark refers to the time that the measure collected using the opaquechamber was collected plus 30 seconds (we started the analysis 30 seconds in to account for the transit time through tubing). The field ending time_dark refers to the ending time of the incubation.
The field CO2_light refers to the carbon dioxide flux in ppm s-1 for the transparent chamber, where a negative value refers to net uptake and a positive value net emissions. The field CO2_light_r2 refers to the coefficient of determination for a linear regression model constructed where the independent variable is time, and the dependent variable is carbon dioxide concentration. The field CO2_light_n refers to the number of measures in the aforementioned linear regression model.
The field CO2_dark refers to the carbon dioxide flux in ppm s-1 for the opaque chamber, where a negative value refers to net uptake and a positive value net emissions. The field CO2_dark_r2, refers to the coefficient of determination for a linear regression model constructed where the independent variable is time, and the dependent variable is carbon dioxide concentration. The field CO2_dark_n refers to the number of measures in the aforementioned linear regression model.
The CH4_light light refers to the methane flux in mmol ppm s-1 for the transparent chamber, where a negative value refers to net uptake and a positive value net emissions. The field CH4_light_r2 refers to the coefficient of determination for a linear regression model constructed where the independent variable is time, and the dependent variable is methane concentration. The field CH4_light_n refers to the number of measures in the aforementioned linear regression model.
The field CH4_dark refers to the methane flux in ppm s-1 for the opaque chamber, where a negative value refers to net uptake and a positive value net emissions. The field CH4_dark_r2, refers to the coefficient of determination for a linear regression model constructed where the independent variable is time, and the dependent variable is methane concentration. The field CH4_dark_n refers to the number of measures in the aforementioned linear regression model.
The field F_CO2_light refers to carbon dioxide flux in mmol m-2 s-1 under light conditions where a negative value refers to net uptake and a positive value net emissions. This is also referred to as net ecosystem exchange (NEE). The field F_CO2_dark refers to carbon dioxide flux in mmol m-2 s-1 under dark conditions where a negative value refers to net uptake and a positive value net emissions. This is also referred to as respiration (R). The field FCH4_light refers to methane flux in mmol m-2 s-1 under light conditions where a negative value refers to net uptake and a positive value net emissions. The field FCH4_dark refers to methane flux in mmol m-2 s-1 under dark conditions where a negative value refers to net uptake and a positive value net emissions. The field PS refers to photosynthesis in mmol m-2 s-1 or the difference between respiration and net ecosystem exchange. The field R refers to respiration or the flux under dark conditions. The field CH4_mean is the mean of methane emissions in mmol m-2 s-1 during light and dark conditions. The field CH4_mean_h refers to the mean of methane emissions during light and dark conditions in mmol m-2 hr-1.
3. Photosynthesis data
photosynthesis.csv
photosynthesis.csv - The photosynthesis file reports leaf-based photosynthesis. The file has the following fields: location, latitude, longitude, plot, condition, replicate, fluorescence, photosynthesis, year, month, day, h, m, and s. The field has three potential locations: Waquoit, Mashomack, and Tuckahoe. Latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Plot has two values: 1 or 2, which refers to location 1 or 2 in each marsh. Each marsh has two locations of well nests (1 or 2), which are widely separated but there is no significant difference between them. The condition field has two potential values - A and B. A refers to good condition, B refers to marsh that is fragmented and surrounded by open water areas. Replicate refers to 1, 2, or 3. There are three replicates for each point. Fluorescence refers to ambient fluorescence under natural illumination. Photosynthesis refers to net photosynthesis rate in mmol m-2 s-1. Positive values refer to photosynthetic assimilation. Date collected includes three fields: year (YY), month (MM), and day (DD). Time collected is in hour (h), minute (m), and second (s). Missing data is filled with -999.
4. Plant aboveground biomass data
biomass.csv
biomass.csv - The biomass file reports plant aboveground biomass. The file has the following fields: year, location, latitude, longitude, plot, condition, replicate, date collected, biomass_collected, and biomass_per_sq_m. The field of year has two values, 2021 or 2022, corresponding to year collected. There are three locations: Waquoit, Mashomack, and Tuckahoe. Latitude is in decimal degrees N, and longitude is in decimal degree west (negative). Plot has two values: 1 or 2, which refers to location 1 or 2 in each marsh. Each marsh has two locations of well nests (1 or 2), which are widely separated but there is no significant difference between them. The condition field has two potential values - A and B. A refers to good condition, B refers to marsh that is fragmented and surrounded by open water areas. Replicate refers to 1, 2, or 3. There are three replicates for each point. Date collected is day collected in MM/DD/YY format. Biomass_collected is in grams of dry biomass collected (in a collar of 12" in diameter; 30.48 cm). Biomass_per_sq_m is in units of grams of dry biomass per square meter.
Changelog
Changes June 16, 2025:
Fixed incorrect elevations for the groundwater wells at the Tuckahoe site in two files: ecotone_water_levels_metadata.csv and ecotone_water_levels_tuckahoe.csv
We collected biological and environmental data to provide perspective on rapid habitat change occurring at the salt marsh-forest ecotone and on salt marsh platforms converting to open water in the Northeastern United States, and to test hypotheses about drivers of habitat change.
Marsh-Forest Ecotone
In studying the marsh forest border, we chose to work at three locations where the marsh-forest ecotone is undergoing rapid habitat transitions: the Tuckahoe Wildlife Management Area, Egg Harbor Township, NJ (39° 19.506'N; 74° 39.014'W), Pine Neck Preserve, Quogue, NY (40° 50.440'N; 72° 33.785'W), and around Sage Lot Pond, Waquoit Bay National Estuarine Research Reserve, Mashpee, MA (41° 33.438'N; 70° 30.227'W). We hypothesized that we would see steeper environmental gradients in New England than along the coastal plain. In addition, we hoped that these data sets would provide perspective on salt water intrusion vs. root zone flooding as important drivers of maritime forest dieback.
Drone Imagery - UAV surveys were conducted at the three focus sites during leaf-on and leaf-off conditions using a DJI Phantom 4 Pro (DJI, Shenzhen, CHN) flown at X m altitude at 3.5 m s−1 to record images with 80% overlap and a resolution of 3 cm pixel−1. At the Tuckahoe Wildlife Management Area, these occurred on 12 September 2022 and 30 January 2023. At Pine Neck Preserve, these occurred on 3 April 2021 and 10 August 2022. At Sage Lot Pond, these occurred on 27 March 2021 and 11 August 2021. Orthomosaics (5 cm px−1) were produced from UAV images following a standard photogrammetry workflow in Metashape (Agisoft, St. Petersburg, Russia).
Salinity - We used a Geonics Model EM38-MK2 Conductivity Meter (Geonics Ltd, Mississauga, Ontario, Canada) in horizontal mode, held 0.75 m over the marsh surface to record soil conductivity readings. The readings were the result of an induced current generated by the instrument, and measures were made using the 1m setting to record measures 0.75 m, ie., at the soil surface (https://geonics.com/pdfs/downloads/catalogue.pdf). At each location occupied, the apparent electrical conductivity readings (ECa values) were recorded, in milliSeimans meter−1 (mS m−1), and the location of the measured point was recorded using a Garmin 64sx handheld GPS (accuracy of ca. 3m). We occupied 175-200 points at each of the three sites, with grid spacings on the order 10-20m. Measures were made at Waquoit Bay, MA on 7 June 2021, at Pine Neck Preserve on 19 May 2021, and at Tuckahoe Wildlife Mangement area on 21 July 2021. At each site, we also collected ca. 15-20 soil samples for salinity calibration, to convert apparent electrical conductivity readings (ECa values) to soil salinity. Surface soil salinity was measured on 5:1 slurries made of 5 parts water to one part dry sediment using a YSI pro30 conductivity and salinity meter. Soil salinity was not back corrected to the original water contact, as the average water:dry soil ratio was 5.13. ECa data were converted to soil salinity values using empirical calibration curves constructed from a least-squares regression of ECa values against soil salinities, forced through the origin. Regressions were y=0.0915x for Waquoit Bay (r2=0.78), y=0.1765x for Pine Neck Preserve (r2=0.90), and y=0.08x for Tuckahoe (r2=0.80), where y is soil salinity, and x is ECa. Following field sampling and laboratory analyses, shapefiles were created in ArcGIS version 10.3 (ESRI, Redlands, CA) by creating a text file which included latitude, longitude, and estimated soil salinity. We used the kriging function in ArcGIS Spatial Analyst using a 1-m pixel size using default values of ordinary kriging using a spherical variogram model and a search radius setting of 12 to create marsh-specific salinity contour maps.
Water levels - At each of three sites, we installed 10 wells (screened at 0.5 - 1.0 meters of depth) across the marsh-forest ecotone for a total of 30 wells. The wells at each site were arranged in two transects, with the well at the lower-most elevation sunk into the marsh, the well at the highest elevation in intact forest, and the other three wells tranversing the marsh-forest ecotone. The wells were constructed of SDR 21 PVC pipe of a nominal diameter of 3.175 cm (1.25"), within inner diameter of 3.82 cm and an outer diameter of 4.22 cm. To allow for water exchange, holes were drilled in PVC, PVC chips were removed with a file, and the outside of the piezometer was covered in well sock. An soil auger was used to bore a hole for the piezometer, which was subsequently filled with coarse sand following the insertion of the piezometer. Above the screened depth, the augered hole was backfilled with marsh peat, and near the surface cement were used to seal the piezometer and to prevent the area around the well from acting as a macropore or or preferential flow pathway.
Marsh Platform
In studying the marsh platform, we chose to work at three locations where the marsh platform has large and expanded ponded areas and is undergoing rapid habitat transitions: the Tuckahoe Wildlife Management Area, Corbin City, NJ (39° 17.440'N; 74° 39.378'W), Bass Creek, Mashomack Preserve, Shelter Island, NY (41° 2.925'N; 72° 17.245'W), and Sage Lot Pond, Waquoit Bay National Estuarine Research Reserve, Mashpee, MA (41° 33.222'N; 70° 30.692'W). We hypothesized that locations that were similar in elevation but that had different groundwater hydrologic regimes would display contrasts in vegetation stress and biomass. To address these hypotheses, we established well nests at four locations in three marshes (a total number of 12 well nests and 24 individual wells), where we monitored vertical hydrologic gradients for one year, measured photosynthesis and greenhouse gas exchange during two summer growing seasons, collected aboveground biomass, and collected multispectral drone imagery during peak biomass (e.g., July or August).
Water levels - At each of 12 locations, we installed two piezometers to better understand vertical water movements in healthier vs. ponded areas of the salt marsh platform. The piezometers were constructed of SDR 21 PVC pipe of a nominal diameter of 3.175 cm (1.25"), within inner diameter of 3.82 cm and an outer diameter of 4.22 cm. The two piezometers were screened at depths of 0.25-0.50 cm and 1.0-1.25m below the soil surface. To allow for water exchange, holes were drilled in PVC, PVC chips were removed with a file, and the outside of the piezometer was covered in well sock. An soil auger was used to bore a hole for the piezometer, which was subsequently filled with coarse sand following the insertion of the piezometer. Above the screened depth, the augered hole was backfilled with marsh peat, and near the surface bentonite and cement were used to seal the piezometer and to prevent the area around the well from acting as a macropore or or preferential flow pathway.
Drone Imagery - UAV surveys were conducted at the three focus sites during leaf-on conditions using a DJI Phantom 4 Pro (DJI, Shenzhen, CHN) flown at X m altitude at 3.5 m s−1 to record images with 80% overlap and a resolution of 3 cm pixel−1. At the Tuckahoe Wildlife Management Area, these occurred on 2 September 2022. At Mashomack Preserve, this occurred on 10 August 2022. At Waquoit Bay, this occurred on 21 July 2022. Orthomosaics (2 cm px−1) were produced from UAV images following a standard photogrammetry workflow in Metashape (Agisoft, St. Petersburg, Russia).
Greenhouse gas exchange - Photosynthesis, community respiration, net ecosystem exchange, and methane emissions were measured once in the summers for 2021 and 2022 to provide perspectives on plant stress. An LGR ultraportable greenhouse gas analyzer (ABB, San José, CA) was used to measure the greenhouse gas concentration of gases circulated through the headspace of a 20L chamber attached to 30-cm diameter)(12") PVC collars installed in the marsh soil. We conducted twelve at each marsh in each year, three in the proximity (<3m) each well nest. Measurements of net ecosystem exchange were collected during three minute incubations in a transparent chamber, and respiration was determined by similar incubations with the chamber covered with black-out material. Photosynthesis was calculated as the sum of respiration and net ecosystem. The Ideal Gas Law (PV = nRT) was used to convert linear changes in CO2 and CH4 concentrations within the chamber during each incubation period to fluxes standardized to the surface area of the plant pots. Measures were made at Tuckahoe Wildlife Management Area on 17 August 2021 and 8 July 2022, at Bass Creek on 13 August 2021 and 29 June 2022, and at Sage Lot Pond on 11 August 2021 and 20 July 2022.
Leaf-based photosynthesis measures - At the same locations were greenhouse gas exchange measures were conducted, in 2021, we used a CI-340 handheld photosynthesis system (CID Bioscience, Camas, WA, USA) to measure leaf-based photosynthetic uptake and ambient fluorescence using the CI-510CF chlorophyll fluorescence module. Measures were recorded for three minute incubations. Measures were made at Tuckahoe Wildlife Management Area on 17 August 2021, at Bass Creek on 13 August 2021, and at Sage Lot Pond on 11 August 2021.
Biomass - At each location where greenhouse gas exchange measures were made, all aboveground biomass in the footprint of the (30-cm diameter)(12") PVC collars was harvested. After returning from the field, biomass material was rinsed over a 2-mm sieve to remove sediment and salt, placed in a pre-dried brown paper bag and dried in a drying oven at 60°C to constant weight.
- Watson, Elizabeth; Njie, Daouda; Freyland, Christopher et al. (2025). Data for: Plant thresholds and community composition of coastal marsh-forest ecotones in the US Northeast [Dataset]. Dryad. https://doi.org/10.5061/dryad.5tb2rbpcm
