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: 2025-10-08
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 |
|---|---|---|---|
| Dissolved Oxygen | mg/L | -0.000001 | 50 |
| Dissolved Oxygen Saturation | % | -0.000001 | 500 |
| Salinity | ppt | -0.000001 | 70 |
| 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, Filtered (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, 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 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-2025-Sep-04.txt
Combined_WQ_WC_NUT_Chlorophyll_a_uncorrected_for_pheophytin-2025-Sep-04.txt
Combined_WQ_WC_NUT_Colored_dissolved_organic_matter_CDOM-2025-Sep-04.txt
Combined_WQ_WC_NUT_Dissolved_Oxygen-2025-Sep-04.txt
Combined_WQ_WC_NUT_Dissolved_Oxygen_Saturation-2025-Sep-04.txt
Combined_WQ_WC_NUT_pH-2025-Sep-04.txt
Combined_WQ_WC_NUT_Salinity-2025-Sep-04.txt
Combined_WQ_WC_NUT_Secchi_Depth-2025-Sep-04.txt
Combined_WQ_WC_NUT_Total_Nitrogen-2025-Sep-04.txt
Combined_WQ_WC_NUT_Total_Phosphorus-2025-Sep-04.txt
Combined_WQ_WC_NUT_Total_Suspended_Solids_TSS-2025-Sep-04.txt
Combined_WQ_WC_NUT_Turbidity-2025-Sep-04.txt
Combined_WQ_WC_NUT_Water_Temperature-2025-Sep-04.txt
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | No significant trend | 3654 | 23 | 2000 - 2025 | 5.8 | -0.0221 | 10.1175 | -0.0575 | 0.6058 |
Chlorophyll a, corrected for pheophytin, showed no detectable trend between 2000 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 3365 | 2000 | 2025 |
| 514 | 292 | 2018 | 2024 |
| 5008 | 56 | 2023 | 2025 |
Program names:
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Significantly increasing trend | 7065 | 27 | 1999 - 2025 | 6.4 | 0.2328 | 4.6625 | 0.1493 | 0 |
Monthly average chlorophyll a, uncorrected for pheophytin, increased by 0.15 µg/L per year, indicating a decrease in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 6254 | 1999 | 2025 |
| 95 | 1495 | 2000 | 2018 |
| 514 | 784 | 2001 | 2024 |
| 3 | 189 | 2018 | 2024 |
| 5008 | 56 | 2023 | 2025 |
| 103 | 26 | 2000 | 2015 |
| 115 | 9 | 2000 | 2004 |
| 60 | 9 | 2008 | 2013 |
| 118 | 8 | 2000 | 2010 |
Program names:
3 - Atlantic Oceanographic and Meteorological Laboratory
(AOML) South Florida Program Synoptic Shipboard Surveys4
60 - Southeast Area Monitoring and Assessment Program (SEAMAP)
- Gulf of Mexico Fall & Summer Shrimp/Groundfish Survey5
95 - Harmful Algal Bloom Marine Observation Network6
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
118 - National Aquatic Resource Surveys, National Coastal
Condition Assessment9
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Significantly increasing trend | 1317 | 22 | 2001 - 2025 | 10.502 | 0.0708 | 24.8044 | 0.2112 | 0.0422 |
Monthly average colored dissolved organic matter increased by 0.21 PCU per year, indicating a decrease in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 949 | 2017 | 2025 |
| 514 | 262 | 2001 | 2024 |
| 5008 | 100 | 2021 | 2025 |
| 479 | 13 | 2016 | 2024 |
Program names:
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Field | No significant trend | 97011 | 40 | 1974 - 2025 | 6.6 | 0.0237 | 6.8557 | 0.0014 | 0.5698 |
Dissolved oxygen showed no detectable trend between 1974 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 52306 | 1995 | 2025 |
| 69 | 31262 | 1989 | 2024 |
| 4067 | 11610 | 1993 | 2023 |
| 95 | 2371 | 1974 | 2018 |
| 5008 | 100 | 2021 | 2025 |
| 118 | 32 | 2000 | 2020 |
| 115 | 29 | 2000 | 2004 |
| 60 | 23 | 2008 | 2013 |
| 103 | 10 | 2015 | 2015 |
| 479 | 10 | 2016 | 2024 |
Program names:
60 - Southeast Area Monitoring and Assessment Program
(SEAMAP) - Gulf of Mexico Fall & Summer Shrimp/Groundfish
Survey5
69 - Fisheries-Independent Monitoring (FIM) Program11
95 - Harmful Algal Bloom Marine Observation Network6
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
118 - National Aquatic Resource Surveys, National Coastal
Condition Assessment9
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
4067 - Tampa Bay Benthic Monitoring12
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Field | No significant trend | 31568 | 34 | 1992 - 2025 | 90.9 | 0.0304 | 91.5008 | 0.0298 | 0.5976 |
Dissolved oxygen saturation showed no detectable trend between 1992 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 20252 | 2004 | 2025 |
| 4067 | 11046 | 1993 | 2023 |
| 95 | 638 | 2002 | 2018 |
| 5008 | 98 | 2021 | 2025 |
| 102 | 66 | 1992 | 1992 |
| 479 | 1 | 2024 | 2024 |
Program names:
95 - Harmful Algal Bloom Marine Observation Network6
102 - National Status and Trends Mussel Watch13
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
4067 - Tampa Bay Benthic Monitoring12
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Field | Significantly decreasing trend | 92229 | 41 | 1955 - 2025 | 8.1 | -0.2089 | 8.1797 | -0.0022 | 0 |
Monthly average pH decreased by less than 0.01 pH units per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 50265 | 1995 | 2025 |
| 69 | 30883 | 1989 | 2024 |
| 4067 | 9050 | 1993 | 2023 |
| 95 | 2304 | 1955 | 2018 |
| 5008 | 96 | 2021 | 2025 |
| 115 | 29 | 2000 | 2004 |
| 479 | 10 | 2016 | 2024 |
| 103 | 6 | 2015 | 2015 |
Program names:
69 - Fisheries-Independent Monitoring (FIM) Program11
95 - Harmful Algal Bloom Marine Observation Network6
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
4067 - Tampa Bay Benthic Monitoring12
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| All | Significantly decreasing trend | 96492 | 65 | 1954 - 2025 | 28.96 | -0.377 | 32.7958 | -0.1001 | 0 |
Monthly average salinity decreased by 0.1 ppt per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 50154 | 1995 | 2025 |
| 69 | 31552 | 1989 | 2024 |
| 4067 | 7290 | 1993 | 2023 |
| 95 | 7197 | 1954 | 2018 |
| 3 | 241 | 2018 | 2024 |
| 5008 | 102 | 2021 | 2025 |
| 102 | 66 | 1992 | 1992 |
| 560 | 32 | 2021 | 2024 |
| 115 | 29 | 2000 | 2004 |
| 118 | 24 | 2015 | 2020 |
| 60 | 16 | 2008 | 2013 |
Program names:
3 - Atlantic Oceanographic and Meteorological Laboratory
(AOML) South Florida Program Synoptic Shipboard Surveys4
60 - Southeast Area Monitoring and Assessment Program (SEAMAP)
- Gulf of Mexico Fall & Summer Shrimp/Groundfish Survey5
69 - Fisheries-Independent Monitoring (FIM) Program11
95 - Harmful Algal Bloom Marine Observation Network6
102 - National Status and Trends Mussel Watch13
115 - Environmental Monitoring Assessment Program8
118 - National Aquatic Resource Surveys, National Coastal
Condition Assessment9
560 - Big Bend Seagrasses & Nature Coast Aquatic Preserves
- Seagrass Monitoring14
4067 - Tampa Bay Benthic Monitoring12
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Field | Significantly decreasing trend | 32436 | 32 | 1994 - 2025 | -1.2 | -0.3454 | -1.0895 | -0.0129 | 0 |
Monthly average Secchi depth became deeper by 0.01 m per year, indicating an increase in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 69 | 28045 | 1994 | 2024 |
| 5002 | 3444 | 1999 | 2025 |
| 514 | 846 | 2001 | 2024 |
| 5008 | 88 | 2021 | 2025 |
| 115 | 8 | 2000 | 2004 |
| 60 | 5 | 2008 | 2013 |
| 103 | 1 | 2015 | 2015 |
Program names:
60 - Southeast Area Monitoring and Assessment Program
(SEAMAP) - Gulf of Mexico Fall & Summer Shrimp/Groundfish
Survey5
69 - Fisheries-Independent Monitoring (FIM) Program11
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
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 | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Significantly decreasing trend | 16687 | 27 | 1999 - 2025 | 0.59 | -0.2715 | 0.8123 | -0.0104 | 0 |
Monthly average total nitrogen decreased by 0.01 mg/L per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 15748 | 1999 | 2025 |
| 514 | 871 | 2001 | 2024 |
| 103 | 59 | 2000 | 2006 |
| 5008 | 58 | 2023 | 2025 |
| 479 | 13 | 2016 | 2024 |
| 115 | 9 | 2000 | 2004 |
Program names:
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Significantly decreasing trend | 15915 | 27 | 1999 - 2025 | 0.082 | -0.2138 | 0.1058 | -0.0011 | 0 |
Monthly average total phosphorus decreased by less than 0.01 mg/L per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 15086 | 1999 | 2025 |
| 514 | 876 | 2001 | 2024 |
| 5008 | 56 | 2023 | 2025 |
| 103 | 47 | 2000 | 2015 |
| 479 | 13 | 2016 | 2024 |
| 115 | 9 | 2000 | 2004 |
Program names:
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
115 - Environmental Monitoring Assessment Program8
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
514 - Florida LAKEWATCH Program1
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | Significantly decreasing trend | 12662 | 25 | 2000 - 2025 | 10 | -0.4018 | 16.2184 | -0.3848 | 0 |
Monthly average total suspended solids decreased by 0.38 mg/L per year, indicating an increase in water clarity.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 12792 | 1999 | 2025 |
Program names:
5002 - Florida STORET / WIN2
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Lab | No significant trend | 21742 | 31 | 1995 - 2025 | 2.5 | -0.0563 | 3.481 | -0.0162 | 0.1399 |
Turbidity showed no detectable trend between 1995 and 2025.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 22525 | 1995 | 2025 |
| 95 | 323 | 2000 | 2016 |
| 479 | 13 | 2016 | 2024 |
| 103 | 4 | 2006 | 2006 |
Program names:
95 - Harmful Algal Bloom Marine Observation Network6
103 - EPA STOrage and RETrieval Data Warehouse
(STORET)/WQX7
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
5002 - Florida STORET / WIN2
Seasonal Kendall-Tau Trend Analysis
| Activity Type | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| Field | Significantly increasing trend | 102905 | 68 | 1954 - 2025 | 26.55 | 0.0908 | 24.4676 | 0.0082 | 0.0015 |
Monthly average water temperature increased by 0.01°C per year.
| ProgramID | N_Data | YearMin | YearMax |
|---|---|---|---|
| 5002 | 52771 | 1995 | 2025 |
| 69 | 31611 | 1989 | 2024 |
| 4067 | 10489 | 1993 | 2023 |
| 95 | 7597 | 1954 | 2018 |
| 3 | 233 | 2018 | 2024 |
| 5008 | 98 | 2021 | 2025 |
| 102 | 66 | 1992 | 1992 |
| 115 | 29 | 2000 | 2004 |
| 60 | 19 | 2008 | 2013 |
| 479 | 10 | 2016 | 2024 |
Program names:
3 - Atlantic Oceanographic and Meteorological Laboratory
(AOML) South Florida Program Synoptic Shipboard Surveys4
60 - Southeast Area Monitoring and Assessment Program (SEAMAP)
- Gulf of Mexico Fall & Summer Shrimp/Groundfish Survey5
69 - Fisheries-Independent Monitoring (FIM) Program11
95 - Harmful Algal Bloom Marine Observation Network6
102 - National Status and Trends Mussel Watch13
115 - Environmental Monitoring Assessment Program8
479 - Southwest Florida Water Management District - Water
Quality Monitoring10
4067 - Tampa Bay Benthic Monitoring12
5002 - Florida STORET / WIN2
5008 - Project COAST (Coastal Assessment Team) - Springs Coast
Ecosystem Region3
The following files were used in the continuous analysis:
Combined_WQ_WC_NUT_cont_Dissolved_Oxygen_SW-2025-Sep-19.txt
Combined_WQ_WC_NUT_cont_Dissolved_Oxygen_Saturation_SW-2025-Sep-19.txt
Combined_WQ_WC_NUT_cont_pH_SW-2025-Sep-19.txt
Combined_WQ_WC_NUT_cont_Salinity_SW-2025-Sep-19.txt
Combined_WQ_WC_NUT_cont_Turbidity_SW-2025-Sep-19.txt
Combined_WQ_WC_NUT_cont_Water_Temperature_SW-2025-Sep-19.txt
Continuous monitoring locations in Pinellas County Aquatic Preserve
| ProgramID | ProgramLocationID | Years of Data | Use in Analysis | Parameters |
|---|---|---|---|---|
| 5 | CWBF1 | 21 | TRUE | TempW |
| 5 | FHPF1 | 4 | FALSE | TempW |
| 7 | 02310175 | 4 | FALSE | TempW |
| 7 | 02310207 | 3 | FALSE | TempW |
Program names:
5 - National Data Buoy Center15
7 - National Water Information System16
| Station | Statistical Trend | Sample Count | Years with Data | Period of Record | Median | tau | Sen Intercept | Sen Slope | p |
|---|---|---|---|---|---|---|---|---|---|
| CWBF1 | Significantly increasing trend | 1399911 | 21 | 2005 - 2025 | 25.40 | 0.19 | 24.84 | 0.07 | 0 |
| FHPF1 | Insufficient data to calculate trend | 12636 | 2 | 2013 - 2016 | 27.90 | - | - | - | - |
| 02310207 | Insufficient data to calculate trend | 1424 | 3 | 2004 - 2006 | 27.55 | - | - | - | - |
| 02310175 | Insufficient data to calculate trend | 1421 | 4 | 2003 - 2006 | 26.50 | - | - | - | - |
At one program location, monthly average water temperature increased by 0.07°C per year. There was insufficient data to fit a model for three locations.
The data file used is: All_SAV_Parameters-2025-Sep-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 | 15964 | 1998 | 2024 | Braun Blanquet | 27 |
| 560 | 347 | 2021 | 2024 | Modified Braun Blanquet | 8 |
| 560 | 325 | 2021 | 2024 | Percent Cover | 8 |
| 564 | 8342 | 2011 | 2019 | Percent Cover | 441 |
Program names:
560 - Big Bend Seagrasses & Nature Coast Aquatic
Preserves - Seagrass Monitoring14
560 - Big Bend Seagrasses & Nature Coast Aquatic Preserves
- Seagrass Monitoring14
564 - Western Pinellas County Seagrass Monitoring17
565 - Tampa Bay Seagrass Monitoring18
| CommonName | Trend Significance (0.05) | Period of Record | LME-Intercept | LME-Slope | p |
|---|---|---|---|---|---|
| Attached algae | No significant trend | 2000 - 2021 | 1.346545 | -0.0087296 | 0.9563238 |
| Drift algae | Significantly increasing trend | 2012 - 2024 | -49.592080 | 2.6618673 | 0.0000024 |
| Shoal grass | No significant trend | 1998 - 2024 | 23.417077 | 0.2142411 | 0.1299620 |
| Star grass | Insufficient data to calculate trend | - | - | - | - |
| No grass in quadrat | Model did not fit the available data | 1998 - 2024 | - | - | - |
| Widgeon grass | No significant trend | 1998 - 2024 | -20.718546 | 1.1603810 | 0.3683506 |
| Manatee grass | No significant trend | 1998 - 2024 | 19.304537 | 0.3571287 | 0.0782791 |
| Turtle grass | No significant trend | 1998 - 2024 | 41.868898 | -0.1951292 | 0.2324670 |
| Total SAV | No significant trend | 2011 - 2019 | 35.605420 | 0.4199156 | 0.5741276 |
| Halophila, unk. | No significant trend | 1999 - 2022 | -1.636662 | 0.1093134 | 0.6581637 |
An annual increase in percent cover was observed for drift algae (2.7%). Total SAV, unknown Halophila, manatee grass, shoal grass, turtle grass, widgeon grass, and attached algae showed no detectable change in percent cover. Trends in percent cover could not be evaluated for star grass due to insufficient data.
The following parameters are available for Pinellas County Aquatic Preserve within the SAV_WC_Report:
Colored Disolved Organic Matter
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_2024-11-20.pdf
The data file used is: All_NEKTON_Parameters-2025-Sep-04.txt
| Gear Type | Sample Count | Number of Years | Period of Record | Median N of Taxa | Mean N of Taxa |
|---|---|---|---|---|---|
| Trawl (6.1) | 5561 | 36 | 1989 - 2024 | 0.3 | 0.57 |
| Seine (183) | 4691 | 29 | 1996 - 2024 | 0.1 | 0.15 |
The median annual number of taxa was 0.10 based on 4,691 observations collected by 183-meter seine between 1996 and 2024, and the median annual number of taxa was 0.30 based on 5,561 observations collected by 6.1-meter trawl between 1989 and 2024.
The data file used is: All_CW_Parameters-2025-Sep-04.txt
| Species Group | Sample Count | Number of Years | Period of Record | Median N of Taxa | Mean N of Taxa |
|---|---|---|---|---|---|
| Mangroves and associates | 1 | 1 | 2014 - 2014 | 3 | 3 |
| Marsh | 1 | 1 | 2014 - 2014 | 5 | 5 |
| Marsh succulents | 1 | 1 | 2014 - 2014 | 3 | 3 |
In the year 2014, 3 species were observed for mangroves and associates based on 1 observation. In the year 2014, 5 species were observed for marsh based on 1 observation. In the year 2014, 3 species were observed for marsh succulents based on 1 observation.
| Acanthophora sp.1 | Engraulidae spp.3 | Ogcocephalus cubifrons3 |
| Acanthostracion quadricornis3 | Epinephelus itajara3 | Ogcocephalus spp.3 |
| Achirus lineatus3 | Epinephelus morio3 | Oligoplites saurus3 |
| Acrostichum danaeifolium | Etropus crossotus3 | Ophichthus gomesii3 |
| Aetobatus narinari3 | Eucinostomus argenteus3 | Ophidion grayi3 |
| Albula goreensis3 | Eucinostomus gula3 | Ophidion holbrookii3 |
| Albula spp.3 | Eucinostomus harengulus3 | Ophidion josephi3 |
| Albula vulpes3 | Eucinostomus spp.3 | Opisthonema oglinum3 |
| Alpheidae spp.3 | Eugerres plumieri3 | Opistognathus robinsi3 |
| Aluterus schoepfii3 | Eupatorium capillifolium | Opsanus beta3 |
| Aluterus scriptus3 | Ficus aurea | Oreochromis aureus3 |
| Anarchopterus criniger3 | Floridichthys carpio3 | Orthopristis chrysoptera3 |
| Anchoa cubana3 | Fundulus grandis3 | Ostraciidae spp.3 |
| Anchoa hepsetus3 | Fundulus similis3 | Other green algae1 |
| Anchoa lyolepis3 | Gerres cinereus3 | Paraclinus fasciatus3 |
| Anchoa mitchilli3 | Gobiesox strumosus3 | Paraclinus marmoratus3 |
| Anchoa spp.3 | Gobiidae spp.3 | Paralichthys albigutta3 |
| Ancylopsetta quadrocellata3 | Gobionellus oceanicus3 | Penaeidae spp.3 |
| Anguilla rostrata3 | Gobiosoma bosc3 | Penaeus duorarum3 |
| Anguilliformes spp.3 | Gobiosoma longipala3 | Penicillus spp.1 |
| Archosargus probatocephalus3 | Gobiosoma robustum3 | Peprilus burti3 |
| Argopecten irradians | Gobiosoma spp.3 | Peprilus paru3 |
| Argopecten spp. | Gracilaria sp.1 | Phoenix reclinata |
| Ariopsis felis3 | Gymnothorax saxicola3 | Pinus elliottii |
| Aster subulatus | Haemulon aurolineatum3 | Pluchea baccharis |
| Astrapogon alutus3 | Haemulon plumierii3 | Poecilia latipinna3 |
| Astroscopus ygraecum3 | Haemulon spp.3 | Pogonias cromis3 |
| Attached algae1 | Halichoeres bivittatus3 | Pomatomus saltatrix3 |
| Avicennia germinans2 | Halimeda incrassata1 | Portunus spp.3 |
| Baccharis angustifolia | Halodule wrightii1 | Prionotus rubio3 |
| Baccharis halimifolia | Halophila engelmannii1 | Prionotus scitulus3 |
| Bacopa monnieri | Halophila sp.1 | Prionotus spp.3 |
| Bagre marinus3 | Harengula jaguana3 | Prionotus tribulus3 |
| Bairdiella chrysoura3 | Hemicaranx amblyrhynchus3 | Pseudocrenilabrinae3 |
| Balistidae spp.3 | Hemiramphus brasiliensis3 | Quercus virginiana |
| Bascanichthys scuticaris3 | Hemiramphus spp.3 | Rachycentron canadum3 |
| Bathygobius soporator3 | Hippocampus erectus3 | Rhinoptera bonasus3 |
| Batis maritima2 | Hippocampus spp.3 | Rhizophora mangle2 |
| Bidens pilosa | Hippocampus zosterae3 | Rhizophytic algae1 |
| Borrichia frutescens | Hypleurochilus caudovittatus3 | Rhizoprionodon terraenovae3 |
| Bothidae spp.3 | Hypleurochilus geminatus3 | Rimapenaeus constrictus3 |
| Brevoortia spp.3 | Hypnea1 | Rimapenaeus spp.3 |
| Calamus arctifrons3 | Hyporhamphus meeki3 | Ruppia maritima1 |
| Calamus penna3 | Hyporhamphus spp.3 | Sabal palmetto |
| Calamus proridens3 | Hyporhamphus unifasciatus3 | Salicornia bigelovii2 |
| Calamus spp.3 | Hypsoblennius hentz3 | Sardinella aurita3 |
| Callinectes ornatus3 | Ilex cassine | Sarotherodon melanotheron3 |
| Callinectes sapidus3 | Iva frutescens | Schinus terebinthifolia |
| Callinectes similis3 | Juncus roemerianus2 | Sciaenidae spp.3 |
| Callinectes spp.3 | Kyphosus sectatrix3 | Sciaenops ocellatus3 |
| Carangidae spp.3 | Kyphosus spp.3 | Scomberomorus maculatus3 |
| Caranx bartholomaei3 | Lachnolaimus maximus3 | Scorpaena brasiliensis3 |
| Caranx crysos3 | Lactophrys trigonus3 | Selene vomer3 |
| Caranx hippos3 | Lagodon rhomboides3 | Serenoa repens |
| Caranx latus3 | Laguncularia racemosa2 | Serraniculus pumilio3 |
| Caranx spp.3 | Leiostomus xanthurus3 | Serranidae spp.3 |
| Carcharhinus acronotus3 | Lepisosteus osseus3 | Serranus subligarius3 |
| Carcharhinus leucas3 | Limulus polyphemus | Sesuvium portulacastrum2 |
| Carcharhinus limbatus3 | Lobotes surinamensis3 | Sicyonia brevirostris3 |
| Caulerpa1 | Lophogobius cyprinoides3 | Sicyonia laevigata3 |
| Caulerpa mexicana1 | Lucania parva3 | Sicyonia spp.3 |
| Caulerpa prolifera1 | Lutjanus analis3 | Sicyonia typica3 |
| Caulerpa sertularioides1 | Lutjanus apodus3 | Smilax auriculata |
| Caulerpa spp.1 | Lutjanus griseus3 | Solidago sempervirens |
| Centropomus undecimalis3 | Lutjanus spp.3 | Spartina bakeri2 |
| Centropristis philadelphica3 | Lutjanus synagris3 | Spartina patens2 |
| Centropristis striata3 | Lycium carolinianum | Sphoeroides nephelus3 |
| Chaetodipterus faber3 | Lyngbya sp. | Sphoeroides spengleri3 |
| Chaetodon capistratus3 | Malaclemys terrapin3 | Sphyraena barracuda3 |
| Chaetodon ocellatus3 | Maytenus phyllanthoides | Sphyraena borealis3 |
| Chasmodes saburrae3 | Menidia spp.3 | Sphyraena guachancho3 |
| Chelonia mydas3 | Menippe mercenaria3 | Sphyrna tiburo3 |
| Chilomycterus schoepfii3 | Menippe spp.3 | Sporobolus virginicus2 |
| Chloroscombrus chrysurus3 | Menticirrhus americanus3 | Stephanolepis setifer3 |
| Citharichthys macrops3 | Menticirrhus littoralis3 | Strongylura marina3 |
| Cladium mariscus | Menticirrhus saxatilis3 | Strongylura notata3 |
| Conocarpus erectus2 | Menticirrhus spp.3 | Strongylura timucu3 |
| Cyanobacteria | Microgobius gulosus3 | Syacium papillosum3 |
| Cynoscion arenarius3 | Microgobius spp.3 | Symphurus plagiusa3 |
| Cynoscion nebulosus3 | Microgobius thalassinus3 | Syngnathus floridae3 |
| Cyperus odoratus | Micropogonias undulatus3 | Syngnathus louisianae3 |
| Cyprinodon variegatus3 | Mikania scandens | Syngnathus scovelli3 |
| Diapterus auratus3 | Monacanthus ciliatus3 | Syngnathus springeri3 |
| Digenea simplex1 | Monacanthus spp.3 | Synodus foetens3 |
| Diodon holocanthus3 | Mugil cephalus3 | Syringodium filiforme1 |
| Diplectrum formosum3 | Mugil curema3 | Taxodium distichum |
| Diplectrum spp.3 | Mugil spp.3 | Telmatoblechnum serrulatum |
| Diplodus holbrookii3 | Mugil trichodon3 | Thalassia testudinum1 |
| Distichlis littoralis2 | Mycteroperca bonaci3 | Total SAV1 |
| Dorosoma cepedianum3 | Mycteroperca microlepis3 | Toxicodendron radicans |
| Dorosoma petenense3 | Myrica cerifera | Trachinotus carolinus3 |
| Drift algae1 | Myrophis punctatus3 | Trachinotus falcatus3 |
| Drift red algae1 | Narcine bancroftii3 | Trinectes maculatus3 |
| Echeneis naucrates3 | Negaprion brevirostris3 | Tylosurus crocodilus3 |
| Echeneis neucratoides3 | Nicholsina usta3 | Unidentified species |
| Echeneis spp.3 | No fish | Urophycis floridana3 |
| Eleocharis interstincta | No gear set | Vaucheria1 |
| Elopiformes spp.3 | No grass in quadrat1 | Vigna luteola |
| Elops saurus3 | Ocyurus chrysurus3 | Acanthophora sp.1 |
1 - Submerged Aquatic Vegetation, 2 - Coastal Wetlands, 3 - Nekton