Contributors | Affiliation | Role |
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Hare, Matthew | Cornell University (Cornell) | Principal Investigator, Contact |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Data include temperature, salinity, dissolved oxygen, pH, and depth at 15 minute intervals for May through the beginning of August for 2008 and 2009. Data were collected from shallow, near-shore locations in Florida lagoons.
Each sonde was moored to a private or public dock at the edge of the lagoon. Data were recorded at 15 minute intervals during each sampling day. Values were averaged for each day at each location.
Data were filtered to remove readings during calibration or other unreliable data. Missing data mostly occur due to instrument or battery failure. No processing was done by the PI beyond calculating averages. For the raw (unaveraged) data, contact the PI, Dr. Matthew Hare (mph75@cornell.edu).
BCO-DMO replaced blanks and 'NA' with 'nd'. Some of the location names (site_descrip) differed from 2008 to 2009 in the original data, though site_id's were the same from year to year. When site_descrip differed, the 2008 name was used. The varying location names are:
BPD = Flagler Private Dock (2008) = Bruce's Dock (2009)
CCD = Fort Pierce Privat Dock (2008) = Carribe Colony (2009)
WAD = Walton Dock (2008) = Kevin's Dock (2009)
File |
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FLA_lagoon_hydro.csv (Comma Separated Values (.csv), 256.94 KB) MD5:9198e53d4c640af4586bc71c8e783887 Primary data file for dataset ID 3678 |
Parameter | Description | Units |
year | 4-digit year | dimensionless |
site_id | Code of the sampling site. | dimensionless |
site_descrip | Name of the sampling site. | dimensionless |
lat | Latitude, in decimal degrees. Positive = north. | decimal degrees |
lon | Longitude, in decimal degrees. Negative = west. | decimal degrees |
date | Sampling date in mm/dd/yy format. | dimensionless |
month_local | Month when sampling occurred (0 to 12). | dimensionless |
day_local | Day of month when sampling occurred (0 to 31). | dimensionless |
temp_max | Maximum daily water temperature. | degrees C |
temp_min | Minimum daily water temperature. | degrees C |
temp_avg | Average daily water temperature. | degrees C |
temp_stdev | Standard deviation of temp_avg. | degrees C |
temp_sterr | Standard error of temp_avg. | degrees C |
cond_mS_max | Maximum daily specific conductivity. | mS/cm |
cond_mS_min | Minimum daily specific conductivity. | mS/cm |
cond_mS_avg | Average daily specific conductivity. | mS/cm |
cond_mS_stdev | Standard deviation of cond_mS_avg. | mS/cm |
cond_mS_sterr | Standard error of cond_mS_avg. | mS/cm |
sal_max | Maximum daily salinity. | ppt |
sal_min | Minimum daily salinity. | ppt |
sal_avg | Average daily salinity. | ppt |
sal_stdev | Standard deviation of sal_avg. | ppt |
sal_sterr | Standard error of sal_avg. | ppt |
measurements_per_day | Total number of measurements made per day at the sampling site. | dimensionless |
O2_max | Maximum daily dissolved O2 saturation (as a percent). | % |
O2_min | Minimum daily dissolved O2 saturation (as a percent). | % |
O2_avg | Average daily dissolved O2 saturation (as a percent). | % |
O2_stdev | Standard deviation of O2_avg. | % |
O2_sterr | Standard error of O2_avg. | % |
depth_ft_max | Maximum daily sampling depth. | feet |
depth_ft_min | Minimum daily sampling depth. | feet |
depth_ft_avg | Average daily sampling depth. | feet |
depth_ft_stdev | Standard deviation of depth_ft_avg. | feet |
depth_ft_sterr | Standard error of depth_ft_avg. | feet |
Dataset-specific Instrument Name | YSI Sonde 6-Series |
Generic Instrument Name | YSI Sonde 6-Series |
Dataset-specific Description | Instruments were YSI SONDE 600. Data were filtered to remove readings during calibration or other unreliable data. Missing data mostly occur due to instrument or battery failure. |
Generic Instrument Description | YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI. |
Website | |
Platform | FL_Docks |
Start Date | 2008-04-28 |
End Date | 2009-08-10 |
Description | Sampling locations for the project 'Patterns of Larval Dispersal and Postsettlement Selection Shaping Connectivity of Oyster Populations Along an Ecotone' (PI: Matthew Hare, Cornell University). Instruments were moored to private or public docks at the edge of the lagoons for shallow, near-shore sampling. |
From NSF Award Abstract:
Population persistence and the scale of local adaptation are determined by both larval connectivity and post-settlement selection when habitats are spatially heterogeneous for growth and/or reproduction. Unfortunately, the relative importance of factors acting before and after settlement that limit recruitment and gene flow is still unknown for most species and most marine ecosystems. This is partly because the interactions between larval behavior and hydrography are difficult to study, so dispersal constraints are only inferred indirectly. In addition, many marine species are not amenable to strong spatial tests of post-settlement selection and these experiments are difficult to accomplish at the large spatial scales relevant to high dispersal species. Consequently, only a handful of natural systems have yielded results that distinguish pre- and post-settlement constraints on gene flow such that our understanding of mechanisms generating genetic and phenotypic population structure is piece meal.
The intellectual merit of the study is that it achieves this dual goal in an estuarine species inhabiting semi-connected lagoons along eastern Florida where there is a latitudinal gradient in environmental variables, community composition, and potential larval dispersal vectors. Much of the western North Atlantic coastline includes shallow lagoons enclosed by barrier islands, but only a handful of studies have measured connectivity among estuaries, and none among lagoons. This project builds on significant previous research on the eastern oyster, Crassostrea Virginica to integrate pre- and post-settlement measurements. High resolution genetic identification of migrants will be used to construct a connectivity matrix among 30 populations in each of three years. Statistical associations will be tested between dispersal patterns and hypothesized dispersal vectors and constraints. Cohort analysis will be used to test for spatial variation in genotype-specific survivorship along the entire coast. Also, in each of two years, relative postsettlement survivorship and performance will be measured in field common gardens in which local individuals, migrants and hybrids are compared. Finally, fertilization efficiency of within- and between-population crosses will be compared to test the hypothesis that gamete incompatibilities limit gene flow. The results will be integrated in models that describe the spatially and/or temporally dynamic balance between dispersal and selection, define the spatial scale of local adaptation along the ecotone, and identify abiotic gene flow constraints that may affect codistributed species.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |