The data used in this analysis is from the Export Standardized Tables in the SEACAR Data Discovery Interface (DDI). Documents and information available through the SEACAR DDI are owned by the data provider(s) and users are expected to provide appropriate credit following accepted citation formats. Users are encouraged to access data to maximize utilization of gained knowledge, reducing redundant research and facilitating partnerships and scientific innovation.
With respect to documents and information available from SEACAR DDI, neither the State of Florida nor the Florida Department of Environmental Protection makes any warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose arising out of the use or inability to use the data, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.
This report was funded in part, through a grant agreement from the Florida Department of Environmental Protection, Florida Coastal Management Program, by a grant provided by the Office for Coastal Management under the Coastal Zone Management Act of 1972, as amended, National Oceanic and Atmospheric Administration. The views, statements, findings, conclusions and recommendations expressed herein are those of the author(s) and do not necessarily reflect the views of the State of Florida, NOAA or any of their sub agencies.
Published: 2026-06-10
Threshold filters, following the guidance of Florida Department of Environmental Protection’s (FDEP) Division of Environmental Assessment and Restoration (DEAR) are used to exclude specific results values from the SEACAR Analysis. Based on the threshold filters, Quality Assurance / Quality Control (QAQC) Flags are inserted into the SEACAR_QAQCFlagCode and SEACAR_QAQC_Description columns of the export data. The Include column indicates whether the QAQC Flag will also indicate that data are excluded from analysis. No data are excluded from the data export, but the analysis scripts can use the Include column to exclude data (1 to include, 0 to exclude).
| Parameter Name | Units | Low Threshold | High Threshold |
|---|---|---|---|
| Chlorophyll a, Uncorrected for Pheophytin | ug/L | - | - |
| Dissolved Oxygen | mg/L | -0.000001 | 50 |
| Dissolved Oxygen Saturation | % | -0.000001 | 500 |
| Fluorescent Dissolved Organic Matter | QSE | - | - |
| Salinity | ppt | -0.000001 | 70 |
| Specific Conductivity | mS/cm | -0.000001 | 200 |
| Turbidity | NTU | -0.000001 | 4000 |
| Water Temperature | Degrees C | -5.000000 | 45 |
| pH | None | 2.000000 | 14 |
| Parameter Name | Units | Low Threshold | High Threshold |
|---|---|---|---|
| Ammonia, Un-ionized (NH3) | mg/L | - | - |
| Ammonium (NH4) | mg/L | - | - |
| Chlorophyll a, Corrected for Pheophytin | ug/L | - | - |
| Chlorophyll a, Uncorrected for Pheophytin | ug/L | - | - |
| Colored Dissolved Organic Matter | PCU | - | - |
| Dissolved Oxygen | mg/L | -0.000001 | 25 |
| Dissolved Oxygen Saturation | % | -0.000001 | 310 |
| Fluorescent Dissolved Organic Matter | QSE | - | - |
| Light Extinction Coefficient | m^-1 | - | - |
| NO2+3, Filtered | mg/L | - | - |
| Nitrate (NO3) | mg/L | - | - |
| Nitrite (NO2) | mg/L | - | - |
| Nitrogen, inorganic | mg/L | - | - |
| Nitrogen, organic | mg/L | - | - |
| Phosphate, Filtered (PO4) | mg/L | - | - |
| Salinity | ppt | -0.000001 | 70 |
| Secchi Depth | m | 0.000001 | 50 |
| Specific Conductivity | mS/cm | 0.005000 | 100 |
| Total Ammonia (N) | mg/L | - | - |
| Total Kjeldahl Nitrogen | mg/L | - | - |
| Total Nitrogen | mg/L | - | - |
| Total Nitrogen | mg/L | - | - |
| Total Phosphorus | mg/L | - | - |
| Total Suspended Solids | mg/L | - | - |
| Turbidity | NTU | - | - |
| Water Temperature | Degrees C | 3.000000 | 40 |
| pH | None | 2.000000 | 13 |
| SEACAR QAQC Description | Include | SEACAR QAQCFlagCode |
|---|---|---|
| Exceeds maximum threshold | 0 | 2Q |
| Below minimum threshold | 0 | 4Q |
| Within threshold tolerance | 1 | 6Q |
| No defined thresholds for this parameter | 1 | 7Q |
Value qualifier codes included within the data are used to exclude certain results from the analysis. The data are retained in the data export files, but the analysis uses the Include column to filter the results.
STORET and WIN value qualifier codes
Value qualifier codes from STORET and WIN data are examined with the database and used to populate the Include column in data exports.
| Qualifier Source | Value Qualifier | Include | MDL | Description |
|---|---|---|---|---|
| STORET-WIN | H | 0 | 0 | Value based on field kit determination; results may not be accurate |
| STORET-WIN | J | 0 | 0 | Estimated value |
| STORET-WIN | V | 0 | 0 | Analyte was detected at or above method detection limit |
| STORET-WIN | Y | 0 | 0 | Lab analysis from an improperly preserved sample; data may be inaccurate |
Discrete Water Quality Value Qualifiers
The following value qualifiers are highlighted in the Discrete Water Quality section of this report. An exception is made for Program 476 - Charlotte Harbor Estuaries Volunteer Water Quality Monitoring Network and data flagged with Value Qualifier H are included for this program only.
H - Value based on field kit determiniation; results may not be accurate. This code shall be used if a field screening test (e.g., field gas chromatograph data, immunoassay, or vendor-supplied field kit) was used to generate the value and the field kit or method has not been recognized by the Department as equivalent to laboratory methods.
I - The reported value is greater than or equal to the laboratory method detection limit but less than the laboratory practical quantitation limit.
Q - Sample held beyond the accepted holding time. This code shall be used if the value is derived from a sample that was prepared or analyzed after the approved holding time restrictions for sample preparation or analysis.
S - Secchi disk visible to bottom of waterbody. The value reported is the depth of the waterbody at the location of the Secchi disk measurement.
U - Indicates that the compound was analyzed for but not detected. This symbol shall be used to indicate that the specified component was not detected. The value associated with the qualifier shall be the laboratory method detection limit. Unless requested by the client, less than the method detection limit values shall not be reported
Systemwide Monitoring Program (SWMP) value qualifier codes
Value qualifier codes from the SWMP continuous program are examined with the database and used to populate the Include column in data exports. SWMP Qualifier Codes are indicated by QualifierSource=SWMP.
| Qualifier Source | Value Qualifier | Include | Description |
|---|---|---|---|
| SWMP | -1 | 1 | Optional parameter not collected |
| SWMP | -2 | 0 | Missing data |
| SWMP | -3 | 0 | Data rejected due to QA/QC |
| SWMP | -4 | 0 | Outside low sensor range |
| SWMP | -5 | 0 | Outside high sensor range |
| SWMP | 0 | 1 | Passed initial QA/QC checks |
| SWMP | 1 | 0 | Suspect data |
| SWMP | 2 | 1 | Reserved for future use |
| SWMP | 3 | 1 | Calculated data: non-vented depth/level sensorcorrection for changes in barometric pressure |
| SWMP | 4 | 1 | Historical: Pre-auto QA/QC |
| SWMP | 5 | 1 | Corrected data |
The water column habitat extends from the water’s surface to the bottom sediments, and it’s where fish, dolphins, crabs and people swim! So much life makes its home in the water column that the health of marine and coastal ecosystems, as well as human economies, depend on the condition of this vulnerable habitat. Local patterns of rainfall, temperature, winds and currents can rapidly change the condition of the water column, while global influences such as El Niño/La Niña, large-scale fluctuation in sea temperatures and climate change can have long-term effects. Inputs from the prosperity of our day-to-day lives including farming, mining and forestry, and emissions from power generation, automobiles and water treatment can also alter the health of the water column. Acting alone or together, each input can have complex and lasting effects on habitats and ecosystems.
SEACAR evaluates water column health with several essential parameters.
These include nutrient surveys of nitrogen and phosphorus, and water
quality assessments of salinity, dissolved oxygen, pH, and water
temperature. Water clarity is evaluated with Secchi depth, turbidity,
levels of chlorophyll a, total suspended solids, and colored dissolved
organic matter. Additionally, the richness of nekton is indicated by the
abundance of free-swimming fishes and macroinvertebrates like crabs and
shrimps.
Indicators must have a minimum of five to ten years, depending on the habitat, of data within the geographic range of the analysis to be included in the analysis. Ten years of data are required for discrete parameters, and five years of data are required for continuous parameters. If there are insufficient years of data, the number of years of data available will be noted and labeled as “insufficient data to conduct analysis”. Further, for the preferred Seasonal Kendall-Tau test, there must be data from at least two months in common across at least two consecutive years within the RCP managed area being analyzed. Values that pass both of these tests will be included in the analysis and be labeled as Use_In_Analysis = TRUE. Any that fail either test will be excluded from the analyses and labeled as Use_In_Analysis = FALSE. The points for all Water Column plots displayed in this section are monthly averages. Trend significance will be denoted as “Significant Trend” (when p < 0.05), or “Non-significant Trend” (when p >= 0.05). Any parameters with insufficient data to perform Seasonal Kendall-Tau test will have their monthly averages plotted without a corresponding trend line.
The following files were used in the discrete analysis:
Combined_WQ_WC_NUT_Chlorophyll_a_corrected_for_pheophytin-2026-May-18.txt
Combined_WQ_WC_NUT_Chlorophyll_a_uncorrected_for_pheophytin-2026-May-18.txt
Combined_WQ_WC_NUT_Colored_dissolved_organic_matter_CDOM-2026-May-18.txt
Combined_WQ_WC_NUT_Dissolved_Oxygen-2026-May-18.txt
Combined_WQ_WC_NUT_Dissolved_Oxygen_Saturation-2026-May-18.txt
Combined_WQ_WC_NUT_pH-2026-May-18.txt
Combined_WQ_WC_NUT_Salinity-2026-May-18.txt
Combined_WQ_WC_NUT_Secchi_Depth-2026-May-18.txt
Combined_WQ_WC_NUT_Total_Nitrogen-2026-May-18.txt
Combined_WQ_WC_NUT_Total_Phosphorus-2026-May-18.txt
Combined_WQ_WC_NUT_Total_Suspended_Solids_TSS-2026-May-18.txt
Combined_WQ_WC_NUT_Turbidity-2026-May-18.txt
Combined_WQ_WC_NUT_Water_Temperature-2026-May-18.txt
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Decreasing trend | 718 | 11 | 2010 - 2025 | 4.6 | -0.3556 | 8.8752 | -0.4479 | 0.0014 |
Monthly average chlorophyll a, corrected for pheophytin, decreased by 0.45 µg/L per year, indicating an increase in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 733 | 2010 | 2025 |
Program names:
5002 - Florida STORET / WIN1
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Decreasing trend | 681 | 15 | 2000 - 2025 | 5.4 | -0.4047 | 12.3253 | -0.3263 | 0.0002 |
Monthly average chlorophyll a, uncorrected for pheophytin, decreased by 0.33 µg/L per year, indicating an increase in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 667 | 2010 | 2025 |
| 103 | 7 | 2000 | 2015 |
| 115 | 5 | 2000 | 2003 |
| 118 | 3 | 2000 | 2010 |
Program names:
5002 - Florida STORET / WIN1
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX2
115 - Environmental Monitoring Assessment Program3
118 - National Aquatic Resource Surveys, National Coastal
Condition Assessment4
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Field | No detectable trend | 30247 | 39 | 1974 - 2025 | 6.45 | 0.045 | 6.5352 | 0.004 | 0.2264 |
Dissolved oxygen showed no detectable trend between 1974 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 14021 | 1995 | 2025 |
| 69 | 10571 | 1989 | 2024 |
| 4067 | 5450 | 1995 | 2023 |
| 95 | 226 | 1974 | 2018 |
| 115 | 10 | 2000 | 2003 |
| 118 | 8 | 2000 | 2015 |
| 103 | 6 | 2015 | 2015 |
Program names:
5002 - Florida STORET / WIN1
69 - Fisheries-Independent Monitoring (FIM) Program5
4067 - Tampa Bay Benthic Monitoring6
95 - Harmful Algal Bloom Marine Observation Network7
115 - Environmental Monitoring Assessment Program3
118 - National Aquatic Resource Surveys, National Coastal
Condition Assessment4
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX2
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Field | No detectable trend | 8000 | 32 | 1992 - 2025 | 91.2 | 0.0872 | 89.9959 | 0.2153 | 0.0641 |
Dissolved oxygen saturation showed no detectable trend between 1992 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 4067 | 4988 | 1995 | 2023 |
| 5002 | 3005 | 2010 | 2025 |
| 102 | 10 | 1992 | 1992 |
| 95 | 1 | 2017 | 2017 |
Program names:
4067 - Tampa Bay Benthic Monitoring6
5002 - Florida STORET / WIN1
102 - National Status and Trends Mussel Watch8
95 - Harmful Algal Bloom Marine Observation Network7
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Field | Decreasing trend | 27567 | 38 | 1974 - 2025 | 8.1 | -0.1144 | 8.1393 | -0.0018 | 0.0012 |
Monthly average pH decreased by less than 0.01 pH units per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 12889 | 1995 | 2025 |
| 69 | 10360 | 1989 | 2024 |
| 4067 | 4166 | 1995 | 2023 |
| 95 | 203 | 1974 | 2018 |
| 115 | 10 | 2000 | 2003 |
| 103 | 3 | 2015 | 2015 |
Program names:
5002 - Florida STORET / WIN1
69 - Fisheries-Independent Monitoring (FIM) Program5
4067 - Tampa Bay Benthic Monitoring6
95 - Harmful Algal Bloom Marine Observation Network7
115 - Environmental Monitoring Assessment Program3
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX2
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| All | No detectable trend | 27920 | 58 | 1954 - 2025 | 32.67 | 0.0457 | 32.1871 | 0.0059 | 0.1735 |
Salinity showed no detectable trend between 1954 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 14044 | 1995 | 2025 |
| 69 | 10602 | 1989 | 2024 |
| 4067 | 2498 | 1995 | 2023 |
| 95 | 805 | 1954 | 2018 |
| 115 | 10 | 2000 | 2003 |
| 102 | 10 | 1992 | 1992 |
Program names:
5002 - Florida STORET / WIN1
69 - Fisheries-Independent Monitoring (FIM) Program5
4067 - Tampa Bay Benthic Monitoring6
95 - Harmful Algal Bloom Marine Observation Network7
115 - Environmental Monitoring Assessment Program3
102 - National Status and Trends Mussel Watch8
Total Nitrogen Calculation:
The logic for calculated Total Nitrogen was provided by Kevin O’Donnell and colleagues at FDEP (with the help of Jay Silvanima, Watershed Monitoring Section). The following logic is used, in this order, based on the availability of specific nitrogen components.
Additional Information:
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Increasing trend | 2977 | 26 | 1999 - 2025 | 0.55 | 0.2495 | 0.489 | 0.007 | 0 |
Monthly average total nitrogen increased by 0.01 mg/L per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 2960 | 1999 | 2025 |
| 103 | 12 | 2000 | 2015 |
| 115 | 5 | 2000 | 2003 |
Program names:
5002 - Florida STORET / WIN1
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX2
115 - Environmental Monitoring Assessment Program3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Decreasing trend | 2737 | 26 | 1999 - 2025 | 0.05 | -0.0986 | 0.0644 | -0.0004 | 0.0234 |
Monthly average total phosphorus decreased by less than 0.01 mg/L per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 2757 | 1999 | 2025 |
| 103 | 10 | 2000 | 2015 |
| 115 | 5 | 2000 | 2003 |
Program names:
5002 - Florida STORET / WIN1
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX2
115 - Environmental Monitoring Assessment Program3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Increasing trend | 7052 | 29 | 1995 - 2025 | 2.6 | 0.1119 | 2.7911 | 0.0313 | 0.0053 |
Monthly average turbidity increased by 0.03 NTU per year, indicating a decrease in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 7145 | 1995 | 2025 |
| 95 | 2 | 2004 | 2004 |
Program names:
5002 - Florida STORET / WIN1
95 - Harmful Algal Bloom Marine Observation Network7
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | No. of Samples | No. Years with Data | Period of Record | Median Result Value | Tau | Sen Intercept | Sen Slope | P |
|---|---|---|---|---|---|---|---|---|---|
| Field | Increasing trend | 30713 | 61 | 1954 - 2025 | 27.1 | 0.0994 | 24.0633 | 0.0128 | 0.0015 |
Monthly average water temperature increased by 0.01°C per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 14301 | 1995 | 2025 |
| 69 | 10624 | 1989 | 2024 |
| 4067 | 4904 | 1995 | 2023 |
| 95 | 865 | 1954 | 2018 |
| 115 | 10 | 2000 | 2003 |
| 102 | 10 | 1992 | 1992 |
Program names:
5002 - Florida STORET / WIN1
69 - Fisheries-Independent Monitoring (FIM) Program5
4067 - Tampa Bay Benthic Monitoring6
95 - Harmful Algal Bloom Marine Observation Network7
115 - Environmental Monitoring Assessment Program3
102 - National Status and Trends Mussel Watch8
The data file used is: All_SAV_Parameters-2026-Jun-04.txt
Submerged aquatic vegetation (SAV) refers to plants and plant-like macroalgae species that live entirely underwater. The two primary categories of SAV inhabiting Florida estuaries are benthic macroalgae and seagrasses. They often grow together in dense beds or meadows that carpet the seafloor. Macroalgae include multicellular species of green, red and brown algae that often live attached to the substrate by a holdfast. They tend to grow quickly and can tolerate relatively high nutrient levels, making them a threat to seagrasses and other benthic habitats in areas with poor water quality. In contrast, seagrasses are grass-like, vascular, flowering plants that are attached to the seafloor by extensive root systems. Seagrasses occur throughout the coastal areas of Florida, including protected bays and lagoons as well as deeper offshore waters on the continental shelf. Seagrasses have taken advantage of the broad, shallow shelf and clear water to produce two of the most extensive seagrass beds anywhere in continental North America.
Percent Cover measures the fraction of an area of seafloor that is covered by SAV, usually estimated by evaluating multiple small areas of seafloor. Percent cover is often estimated for total SAV, individual types of vegetation (seagrass, attached algae, drift algae) and individual species.
Frequency of Occurrence was calculated as the number of times a taxon was observed in a year divided by the number of sampling events, multiplied by 100. Analysis is conducted at the quadrat level and is inclusive of all quadrats (i.e., quadrats evaluated using Braun-Blanquet, modified Braun-Blanquet, and percent cover.”
Turtle grass (Thalassia testudinum) is the largest of the Florida seagrasses, with longer, thicker blades and deeper root structures than any of the other seagrasses. It is considered a climax seagrass species.
Shoal grass (Halodule wrightii) is an early colonizer of vegetated areas and usually grows in water too shallow for other species except widgeon grass. It can often tolerate larger salinity ranges than other seagrass species. Shoal grass is characterized by thin, flat blades, that are narrower than turtle grass blades.
Manatee grass (Syringodium filiforme) is easily recognizable because its leaves are thin and cylindrical instead of the flat, ribbon-like form shared by many other seagrass species. The leaves can grow up to half a meter in length. Manatee grass is usually found in mixed seagrass beds or small, dense monospecific patches.
Widgeon grass (Ruppia maritima) grows in both fresh and salt water and is widely distributed throughout Florida’s estuaries in less saline areas, particularly in inlets along the east coast. This species resembles shoal grass in certain environments but can be identified by the pointed tips of its leaves.
Three species of Halophila spp. are found in Florida - Star grass (Halophila engelmannii), Paddle grass (Halophila decipiens), and Johnson’s seagrass (Halophila johnsonii). These are smaller, more fragile seagrasses than other Florida species and are considered ephemeral. They grow along a single long rhizome, with short blades. These species are not well-studied, although surveys are underway to define their ecological roles.
Star grass, Paddle grass, and Johnson’s seagrass will be grouped together and listed as Halophila spp. in the following managed areas. This is because several surveys did not specify to the species level:
Banana River Aquatic Preserve
Indian River-Malabar to Vero Beach Aquatic Preserve
Indian River-Vero Beach to Ft. Pierce Aquatic Preserve
Jensen Beach to Jupiter Inlet Aquatic Preserve
Loxahatchee River-Lake Worth Creek Aquatic Preserve
Mosquito Lagoon Aquatic Preserve
Biscayne Bay Aquatic Preserve
Florida Keys National Marine Sanctuary
Click here to view spatio-temporal plots on GitHub.
Sampling locations by Program:
| ProgramID | N-Data | YearMin | YearMax | method | Sample Locations |
|---|---|---|---|---|---|
| 565 | 2730 | 1998 | 2024 | Braun Blanquet | 10 |
| 564 | 54 | 2019 | 2019 | Percent Cover | 7 |
Program names:
564 - Western Pinellas County Seagrass Monitoring9
565 - Tampa Bay Seagrass Monitoring10
| Species | Statistical Trend | Period of Record | LME Intercept | LME Slope | P |
|---|---|---|---|---|---|
| Drift algae | Insufficient data | - | - | - | - |
| Shoal grass | No detectable trend | 1998 - 2024 | 47.97762 | -0.1982890 | 0.3776091 |
| Manatee grass | Model did not fit the available data | 2003 - 2024 | - | - | - |
| Turtle grass | Decreasing trend | 1998 - 2024 | 52.32672 | -0.4964616 | 0.0491915 |
| Halophila, unk. | Insufficient data | - | - | - | - |
An annual decrease in percent cover was observed for turtle grass (-0.50%). No detectable change in percent cover was observed for shoal grass. Trends in percent cover could not be evaluated for unknown Halophila and drift algae due to insufficient data, and the model could not be fitted for manatee grass.
The following parameters are available for Boca Ciega Bay Aquatic Preserve within the SAV_WC_Report:
Chlorophyll a
Dissolved Oxygen
Dissolved Oxygen Saturation
pH
Salinity
Secchi Depth
Water Temperature
Total Nitrogen
Total Suspended Solids
Turbidity
Access the reports here: DRAFT_SAV_WC_Report.pdf
The data file used is: All_NEKTON_Parameters-2026-Jun-04.txt
| Gear Type | No. of Samples | No. of Years with Data | Period of Record | Median No. of Taxa | Mean No. of Taxa |
|---|---|---|---|---|---|
| Trawl (6.1 m) | 1830 | 36 | 1989 - 2024 | 0.45 | 0.77 |
| Seine (183 m) | 1655 | 29 | 1996 - 2024 | 0.15 | 0.19 |
The median annual number of taxa was 0.15 based on 1,655 observations collected by 183-meter seine between 1996 and 2024, and the median annual number of taxa was 0.45 based on 1,830 observations collected by 6.1-meter trawl between 1989 and 2024.
The data file used is: All_CW_Parameters-2026-Jun-04.txt
| Species Group | No. of Samples | No. Years with Data | Period of Record | Median No. of Taxa | Mean No. of Taxa |
|---|---|---|---|---|---|
| Mangroves and associates | 6 | 3 | 2016 - 2023 | 3.5 | 3.33 |
| Marsh | 6 | 3 | 2016 - 2023 | 2.0 | 1.83 |
| Marsh succulents | 6 | 3 | 2016 - 2023 | 4.5 | 4.50 |
Between 2016 and 2023, the median annual number of species for mangroves and associates was 3.5 based on 6 observations. Between 2016 and 2023, the median annual number of species for marsh was 2 based on 6 observations. Between 2016 and 2023, the median annual number of species for marsh succulents was 4.5 based on 6 observations.
The data file used is: All_OYSTER_Parameters-2026-Jun-04.txt
Click here to view spatio-temporal plots on GitHub.
For natural reefs, there was insufficient data to calculate a trend for density.
| Habitat Type | Shell Type | Statistical Trend | Period of Record | Estimate | Standard Error | Credible Interval |
|---|---|---|---|---|---|---|
| Natural | Live Oysters | Insufficient data | 2017 - 2018 | - | - | - |
For natural reefs, there was insufficient data to calculate a trend for percent live cover.
| Habitat Type | Shell Type | Statistical Trend | Period of Record | Estimate | Standard Error | Credible Interval |
|---|---|---|---|---|---|---|
| Natural | Live Oysters | Insufficient data | 2017 - 2018 | - | - | - |
For natural reefs, there was insufficient data to calculate a trend for live oysters in either the 25-75mm or the ≥75mm size class.
| Habitat Type | Shell Type | SizeClass | Statistical Trend | Period of Record | No. of Samples | Estimate | Standard Error | Credible Interval |
|---|---|---|---|---|---|---|---|---|
| Natural | Live Oysters | >75mm | Insufficient data | 2017 - 2018 | 9 | - | - | - |
| Natural | Live Oysters | 25-75mm | Insufficient data | 2017 - 2018 | 701 | - | - | - |
| Acanthophora sp.1 | Eucinostomus argenteus3 | No fish |
| Acanthostracion quadricornis3 | Eucinostomus gula3 | No grass in quadrat1 |
| Achirus lineatus3 | Eucinostomus harengulus3 | Ocyurus chrysurus3 |
| Aetobatus narinari3 | Eucinostomus spp.3 | Ogcocephalus cubifrons3 |
| Albula vulpes3 | Eugerres plumieri3 | Ogcocephalus spp.3 |
| Alpheidae spp.3 | Ficus aurea | Oligoplites saurus3 |
| Aluterus schoepfii3 | Floridichthys carpio3 | Ophidion grayi3 |
| Aluterus scriptus3 | Fundulus grandis3 | Ophidion holbrookii3 |
| Anarchopterus criniger3 | Fundulus similis3 | Ophidion josephi3 |
| Anchoa cubana3 | Gerres cinereus3 | Opisthonema oglinum3 |
| Anchoa hepsetus3 | Gobiesox strumosus3 | Opsanus beta3 |
| Anchoa lyolepis3 | Gobiidae spp.3 | Oreochromis aureus3 |
| Anchoa mitchilli3 | Gobionellus oceanicus3 | Orthopristis chrysoptera3 |
| Anchoa spp.3 | Gobiosoma bosc3 | Ostraciidae spp.3 |
| Ancylopsetta quadrocellata3 | Gobiosoma longipala3 | Paraclinus fasciatus3 |
| Anguilla rostrata3 | Gobiosoma robustum3 | Paraclinus marmoratus3 |
| Archosargus probatocephalus3 | Gobiosoma spp.3 | Paralichthys albigutta3 |
| Argopecten irradians | Gracilaria sp.1 | Penaeidae spp.3 |
| Argopecten spp. | Haemulon aurolineatum3 | Penaeus duorarum3 |
| Ariopsis felis3 | Haemulon plumierii3 | Peprilus burti3 |
| Astroscopus ygraecum3 | Haemulon spp.3 | Peprilus paru3 |
| Attached algae1 | Halichoeres bivittatus3 | Phoenix reclinata |
| Avicennia germinans2 | Halodule wrightii1 | Poecilia latipinna3 |
| Bagre marinus3 | Halophila sp.1 | Pogonias cromis3 |
| Bairdiella chrysoura3 | Harengula jaguana3 | Pomatomus saltatrix3 |
| Bathygobius soporator3 | Hemicaranx amblyrhynchus3 | Portunus spp.3 |
| Bothidae spp.3 | Hemiramphus brasiliensis3 | Prionotus scitulus3 |
| Brevoortia spp.3 | Hippocampus erectus3 | Prionotus spp.3 |
| Calamus arctifrons3 | Hippocampus zosterae3 | Prionotus tribulus3 |
| Calamus penna3 | Hypleurochilus caudovittatus3 | Pseudocrenilabrinae3 |
| Calamus proridens3 | Hypnea1 | Rachycentron canadum3 |
| Calamus spp.3 | Hyporhamphus meeki3 | Rhinoptera bonasus3 |
| Callinectes ornatus3 | Hyporhamphus spp.3 | Rhizophora mangle2 |
| Callinectes sapidus3 | Hyporhamphus unifasciatus3 | Rimapenaeus constrictus3 |
| Callinectes similis3 | Hypsoblennius hentz3 | Sabal palmetto |
| Callinectes spp.3 | Kyphosus sectatrix3 | Sardinella aurita3 |
| Caranx bartholomaei3 | Kyphosus spp.3 | Sarotherodon melanotheron3 |
| Caranx crysos3 | Lachnolaimus maximus3 | Schinus terebinthifolia |
| Caranx hippos3 | Lactophrys trigonus3 | Sciaenops ocellatus3 |
| Caranx latus3 | Lagodon rhomboides3 | Scomberomorus maculatus3 |
| Caranx spp.3 | Laguncularia racemosa2 | Scorpaena brasiliensis3 |
| Carcharhinus limbatus3 | Leiostomus xanthurus3 | Selene vomer3 |
| Caulerpa sertularioides1 | Limulus polyphemus | Serraniculus pumilio3 |
| Centropomus undecimalis3 | Lobotes surinamensis3 | Serranus subligarius3 |
| Centropristis striata3 | Lucania parva3 | Sicyonia brevirostris3 |
| Chaetodipterus faber3 | Lutjanus analis3 | Sicyonia laevigata3 |
| Chaetodon capistratus3 | Lutjanus apodus3 | Sicyonia spp.3 |
| Chaetodon ocellatus3 | Lutjanus griseus3 | Sicyonia typica3 |
| Chasmodes saburrae3 | Lutjanus spp.3 | Sphoeroides nephelus3 |
| Chelonia mydas3 | Lutjanus synagris3 | Sphoeroides spengleri3 |
| Chilomycterus schoepfii3 | Lycium carolinianum | Sphyraena barracuda3 |
| Chloroscombrus chrysurus3 | Lyngbya sp. | Sphyraena borealis3 |
| Citharichthys cornutus3 | Maytenus phyllanthoides | Sphyraena guachancho3 |
| Citharichthys macrops3 | Menidia spp.3 | Sphyrna tiburo3 |
| Conocarpus erectus2 | Menippe mercenaria3 | Stephanolepis setifer3 |
| Cynoscion arenarius3 | Menippe spp.3 | Strongylura marina3 |
| Cynoscion nebulosus3 | Menticirrhus americanus3 | Strongylura notata3 |
| Cyprinodon variegatus3 | Menticirrhus littoralis3 | Strongylura timucu3 |
| Diapterus auratus3 | Menticirrhus saxatilis3 | Syacium papillosum3 |
| Diodon holocanthus3 | Menticirrhus spp.3 | Symphurus plagiusa3 |
| Diplectrum formosum3 | Microgobius gulosus3 | Syngnathus floridae3 |
| Diplectrum spp.3 | Microgobius spp.3 | Syngnathus louisianae3 |
| Diplodus holbrookii3 | Microgobius thalassinus3 | Syngnathus scovelli3 |
| Dorosoma petenense3 | Micropogonias undulatus3 | Syngnathus springeri3 |
| Drift algae1 | Monacanthus ciliatus3 | Synodus foetens3 |
| Drift red algae1 | Mugil cephalus3 | Syringodium filiforme1 |
| Echeneis naucrates3 | Mugil curema3 | Thalassia testudinum1 |
| Echeneis neucratoides3 | Mugil spp.3 | Trachinotus carolinus3 |
| Echeneis spp.3 | Mugil trichodon3 | Trachinotus falcatus3 |
| Elops saurus3 | Mycteroperca bonaci3 | Trinectes maculatus3 |
| Engraulidae spp.3 | Mycteroperca microlepis3 | Tylosurus crocodilus3 |
| Epinephelus itajara3 | Myrophis punctatus3 | Unidentified species |
| Epinephelus morio3 | Narcine bancroftii3 | Urophycis floridana3 |
| Etropus crossotus3 | Nicholsina usta3 | Acanthophora sp.1 |
1 - Submerged Aquatic Vegetation, 2 - Coastal Wetlands, 3 - Nekton