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10 results for “tidal forest”
Dendrometer band measurement data from two tidal forest plots at GCE 11 on the Altamaha River in Southeast Georgia from December 2014 to December 2020
We established two 0.1-ha plots in December 2013. In each plot, we identified and measured DBH (diameter at breast height) of every tree using standard diameter tapes. We also placed dendrometric bands on 40 trees (20 per plot) in December 2013. Bands were measured in December 2014 as baseline measurements and yearly thereafter.
May to July 2018 regions of interest (ROIs) of tidal marsh and tidal forest plant species to be used as ground reference data in habitat mapping
We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground reference data for habitat mapping. Regions of interest (ROIs) for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were generated near ground control points (GCP) by digitizing vegetation areas in ArcGIS 10.4 based on field maps.These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
Repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River, GA
We established a transect of 42 stations for repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River estuary. Target trees are located approximately every km on both the north and south banks, beginning at km 20 (with 0 at the mouth of the estuary) up to km 41, for a total of 21 km. We used a small boat to travel to each station and take digital photographs of target trees facing the river in Nov 2017, Feb, May, Aug of 2018. In Oct 2018 we extended the transect an additional 5 km downstream so that it now starts at km 16, with 5 more stations on the north bank and 5 on the south bank. All 52 stations were photographed in Oct 2018 and Oct 2019. These photos will be used to distinguish healthy, stressed and dead trees in each image and how they change over time.
Forest survey of species richness and basal area for two tidal forest plots at GCE 11 on the Altamaha River in Southeast Georgia in December 2013
We established two 0.1-ha plots in the Site 11 tidal forest in December 2013 to monitor forest composition. In each plot, we identified the species and measured DBH (diameter at breast height) of every tree using standard diameter tapes. We also used the DBH measurements to calculate the basal area of each tree.
Tidal forest litterfall collection in eight traps deployed at GCE 11 on the Altamaha River in Southeast Georgia from October 2014 to October 2017
We established two 0.1-ha plots in the Site 11 tidal forest in December 2013. Eight litterfall traps (0.25 m2) were established within the 0.1-ha plots on September 24, 2014 to estimate annual productivity. Litterfall was collected monthly during the heaviest litterfall months (October, November, December) and quarterly the rest of the year from October 2014 until October 2017. Once collected, litterfall was dried for 48 hours at 60 C and then weighed to the nearest 0.01 g.
May to July 2018 ground control points GPS coordinates of tidal marsh and tidal forest plant species to be used as ground control points in habitat mapping.
We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground control points (GCP) and ground reference data for habitat mapping. GCPs for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were acquired. A real time kinematic (RTK) GPS survey of GPS coordinates and ground elevations for tidal marsh vegetation was carried out in May of June of 2018. A handheld GPS was used to collect GPS coordinates for tidal forest plant species in July of 2018. A total of 101 GCPs were collected in tidal habitats, with 26 in salt, 28 in brackish and 29 in tidal fresh marsh, and another 18 in tidal fresh forest. These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
Luquillo Experimental Forest site, station NOAA Station 9755371, San Juan, PR, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Luquillo Experimental Forest (LUQ) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.
Luquillo Experimental Forest site, station NOAA Station 9755371, San Juan, PR, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Luquillo Experimental Forest (LUQ) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.
A Tidal Flat Adjacent to a Fringe Mangrove Forest Mitigates pCO2 Increases and Enhances Lateral Export of Dissolved Carbon
Open the record for dataset details and reuse information.
Data from: Changes in swamp inundation duration control pCO2 in water over spring-neap tidal cycles in a subtropical mangrove forest
<p>These datasets were used in the article 'Changes in swamp inundation duration control pCO2 in water over spring-neap tidal cycles in a subtropical mangrove forest'. The methods used for data collection and processing are described in this article.</p>
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