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Everglades Depth Estimation Network (EDEN) for Support of Biological and Ecological Assessments
Data
Cape Sable Seaside Sparrow (CSSS) Viewer
Information
Photo of a water level gage

Cape Sable Seaside Sparrow (CSSS) Viewer

Photo of a sparrowCape Sable Seaside Sparrow (CSSS) Viewer

Monitoring water depths in CSSS habitats A through F

The endangered Cape Sable seaside sparrow (CSSS) (Ammodramus maritima mirabilis) is one of eight remaining subspecies of seaside sparrow. The CSSS once ranged throughout freshwater and brackish marsh habitats in southern Florida; the current known distribution is restricted to six separate subpopulation areas (A through F) in Everglades National Park. Changes in habitat and hydrology threaten the CSSS with extinction, and efforts by regulatory and water-management agencies to protect and increase populations have been of limited success. The sparrows build their nests on the ground and up to 17 centimeters above the ground in mixed marl prairies. To increase nesting success, these short-hydroperiod prairies must remain mostly dry during the nesting season (March through July). Previously, a single water-level gage was used to estimate water depths in one or more subpopulation areas. Recently, several water-level gages used to estimate water depths in CSSS habitats were discontinued following a reduction in funding. An alternative and improved method for estimating and evaluating water depths was needed.

The Everglades Depth Estimation Network (EDEN) provides daily water-level and water-depth surfaces for the freshwater Everglades for the period 1991 to current. The CSSS Viewer was developed to use these surfaces to estimate and evaluate water levels and water depths in CSSS habitat on a real-time basis. An animated viewer shows flooded areas and calculates 1) the percent area that is dry, 2) the percent area having water depth less than or equal to 17 centimeters of water, and 3) the percent area that has been dry for 90 days for more (baby birds are fledged from the nest in about 90 days), each day by subpopulation areas. Wildlife-resource scientists and managers can use the CSSS Viewer to assess impacts on nesting success and develop management strategies for the future. Water-control managers can use these results to manage movement of water through water-control structures and, when possible, reduce flooding in these areas during the nesting season. This application of the EDEN water-level and water-depth data demonstrates how scientists and resource managers can use EDEN to analyze the effects of water management practices on vulnerable species in the Everglades.

Please send any questions or comments to the EDEN Data Help.

Using the Cape Sable Seaside Sparrow (CSSS) Viewer

The CSSS Water-Depth Maps contain daily water depth based on the daily EDEN water-level surfaces, which are generated each day using water-level gage data, and ground elevation data. Water-depth values are displayed in both centimeters and inches (relative to North American Vertical Datum of 1988 (NAVD 88)). The data is served using the same 400 meters by 400 meters grid as other EDEN data. See details below ("Quality water-level data used to generate the daily water-level surfaces") about the daily water-level surfaces based on the quality of the water-level gage data.

From the Water-Depth Map tab:

  1. Water-depth data
    1. Water-depth value ranges have been pre-selected for this version.
    2. To set the water-depth transparency level, move the slider from left (full transparency) to right (no transparency).
  2. Setting data range
    1. Time periods have been pre-selected based on anticipated user needs for this version.
    2. To change dates, select the data range from the top drop down box.
    3. Once the time period is selected, the maps begin to load into the viewer. The status of the loading process is displayed in the bottom left of the viewing window ("Loading image..."). All of the daily maps are viewable when the status is 'Loaded'.
  3. Animation of daily maps
    1. The map view can be animated using the arrow button which toggles the animation on and off.
    2. The Time range slider allows users to move quickly between maps without using the animation button.
  4. Ground elevation data
    1. The ground elevation allows users to see the topography of dry areas.
    2. To set the ground elevation transparency level, move the slider from left (full transparency) to right (no transparency).
  5. Four-year hydroperiod mean and standard deviation
    1. The four-year hydroperiod allows users to see the mean and standard deviation of annual hydroperiods. Mean four-year hydroperiod for a named year is the average yearly days where the water level is >0 for the previous four years (e.g., 2017 mean four-year hydroperiod is the mean of 2013-2016). Standard deviation is of the mean of those four years.
    2. To set the hydroperiod transparency level, move the slider for water depths from right (no transparency) to left (full transparency) and the slider for the hydroperiods from left (full transparency) to right (no transparency).
    3. You may step through the annual hydroperiod means or standard deviations using the left and right arrows.
  6. Locations of nearby water-level gages
    1. Gages will display on the viewer by checking the box next to "show gages." Deselecting the box will remove the gage markers.
    2. Current hydrographs at each gage can be viewed by clicking the gage pin on the map.
      • The hydrographs are those used for the Daily Water Level Percentiles by Month monitoring application
  7. Subpopulation area daily statistics
    1. Several computations by subpopulation area are computed and displayed by clicking the boxes next to the items listed below. More information about these computations can be found by clicking on the linked text for each item. NOTE: Portions of subpopulation areas B, C, and D are outside the EDEN model domain. The percentage of area computations includes only the subpopulation areas within the EDEN model domain. A CSV file of the subpopulation area statistics used in this application can be downloaded here.
      • % dry area is the percent of the subpopulation area where water levels are below ground for the selected day
      • % WD ≤ 17 cm is the percent of the subpopulation area where water depths are less than or equal to 17 centimeters for the selected day
      • % dry ≥ 40 days is the percent of the subpopulation area where water levels have been below land surface for the last 40 consecutive days
      • % dry ≥ 90 days is the percent of the subpopulation area where water levels have been below land surface for the last 90 consecutive days
      • mean water depth is the average cm water depth of the pixels of the subpopulation area. Graphs of the subpopulation mean water depths are available for the previous year, wet season, dry season, month, and week.
      • water depth sd is the standard deviation of the cm water depth of the pixels of the subpopulation area
  8. Zooming and Panning
    1. The map view can be zoomed in and out as well as panned using several methods
      • clicking on the "+" and "-" buttons in the upper-right of the map will zoom in or zoom out
      • double-clicking the map will zoom in to that location
      • clicking and holding the left mouse button allows you to move the map
      • the arrow keys on the keyboard allows you to move around the map
      • computer mice equipped with mouse wheels can use the wheels to zoom in and out
  9. Display date — the date of the map displayed is shown in the bottom right of the display window

Quality water-level data used to generate the daily water-level surfaces:

  • Water-level surfaces for the most recent quarter are based on real-time gage data. Real-time water-level data for the gages are transmitted daily by satellite or other telemetry and have received little or no review from the operating agency. The EDEN team uses the ADAM software to quality-assure the data and estimate missing data. Subsequent reviews and edits of the data may result in significant revisions to the data.
  • Water-level surfaces for all previous quarters in the current water year (Oct 1 to Sept 30) are based on provisional gage data. Provisional water-level data for the gages are provided on a quarterly basis from the operating agencies and have received some review and edits by them. For some agencies, the review is near final while for others, the review is preliminary. Then, the EDEN team uses the ADAM software to further quality-assure the data and estimate missing data.
  • Water-level surfaces for the water years prior to the current one are based on final gage data. Final water-level data for the gages are provided on an annual basis from the operating agencies. The EDEN team uses the ADAM software to estimate missing data, if necessary.
water level legend
(cm)
(in.)
46
18.1
30
11.8
17
6.7
0
0
Water depth
dem legend
(cm)
(in.)
400
157
0
0
Ground elevation (NAVD88)
four-year hydroperiod legend
(days)
(cm)
220.3
-3.9
200.3
-13.9
163
-43.2
138.2
-58.4
Four-year hydroperiod
Mean water depth
four-year hydroperiod standard deviation legend
(days)
(cm)
56.8
21.7
46.7
19.1
33.7
14.2
26.7
11.1
Four-year hydroperiod SD
Mean water depth SD
surface water gage marker
Surface water gage
ground water gage marker
Ground water gage
Select water depth date range:
Date range
Displayed water depth date:
  0/0/0000  
Select 4yr hydroperiod year:
Displayed hydroperiod year:
  2026  
Dry count statistics:
For 2026-02-03
 ≥40% dryDHP
AX0 days0 days
A0 days6 days
A10 days0 days
A20 days0 days
B0 days0 days
C0 days0 days
D0 days0 days
E0 days0 days
F0 days0 days
Color scale: CSSS ramp Detailed
Water depth transparency
Ground elevation transparency
Four-year hydroperiod transparency

Nesting Season/Annual Statistics for Subpopulation Areas

Summary statistics for the Cape Sable seaside sparrow subpopulation areas, showing percent of subpopulation areas dry during nesting season (March 1 through July 15) for at least 40 and 90 consecutive days; percent of subpopulation areas with discontinuous hydroperiods during the calendar year of 0 to 89, 90 to 210, and > 210 days; and mean four-year hydroperiod and standard deviation. A CSV file of these statistics used in this application can be downloaded here.

New: Popup statistics graphs now available; click column headings (e.g., "≥ 40") to view.

Nesting Season Statistics: Consecutive dry days

 A NestingAX NestingB NestingC NestingD NestingE NestingF Nesting
Year
≥ 40
≥ 90
≥ 40
≥ 90
≥ 40
≥ 90
≥ 40
≥ 90
≥ 40
≥ 90
≥ 40
≥ 90
≥ 40
≥ 90
199187.4%0%90.1%1.4%100%32.3%100%82.6%97.2%19.5%100%27.9%100%78.8%
199256.3%25.9%65.7%41%95.2%90.7%100%100%97.6%80.9%100%99.1%100%100%
19932.9%0.2%5.7%0.4%78.1%60.1%98.7%97.5%72.8%58.5%91.8%62.4%100%100%
199422.9%3.1%34.2%8%94.6%73%96.2%82.2%56.5%22.8%99.7%70.2%100%100%
19950%0%0%0%70.4%44.7%98.7%89.8%58.1%20.3%46.2%19.1%100%99.3%
199621.5%2.3%37.1%9.8%79.1%42%100%43.2%88.2%34.1%82%48.9%100%86.8%
199722.5%10.5%34.3%21.4%86.5%55.1%100%81.4%94.3%70.7%98.6%35.4%100%100%
199827.2%5.6%38.2%8.6%87.5%47.5%98.3%95.3%58.1%17.5%95.8%44.7%100%100%
199937.3%8%50.8%15.2%100%71%100%100%100%72%100%79.6%100%100%
200031.6%12.8%46.3%21.4%90.2%73.4%100%93.6%80.1%50.4%97.2%64.6%100%100%
200184.2%40.2%87.6%53%100%99.9%100%100%100%89.8%100%99.4%100%100%
200272.9%26.5%78.7%42.3%99.7%62.3%100%100%100%71.1%98.9%58.8%100%100%
200338.5%1.8%51.7%6.1%41.2%25.5%96.6%51.3%34.6%24%64.3%23.2%100%7.3%
200452.5%31.2%62.7%46%100%92.9%100%100%98.4%85%100%89.3%100%100%
200557.4%25.9%66.6%41.3%99.7%80.7%100%100%78.9%62.2%100%92.9%100%100%
200655.7%34.3%65.2%48.4%98.5%44.4%100%92.8%85.8%63%100%63.2%100%100%
200728.6%5.6%44%16%90.4%36.1%100%93.6%71.5%22.8%97.8%36.5%100%100%
200863.3%24%71.2%38.4%100%70.9%100%99.2%93.9%31.7%100%73.4%100%100%
200973.4%15.8%79.1%32.1%100%65.9%100%83.5%100%27.2%100%16.6%100%100%
201031.5%11.2%45.7%19.3%77.9%58.4%100%94.1%56.1%32.5%84.6%65%100%58.9%
201173.9%60.8%79.5%69.2%100%99.1%100%100%100%93.5%100%100%100%100%
201255.2%11.5%64.9%20.8%98.3%23.4%100%6.4%82.9%0.8%99.4%8.2%100%36.4%
201337.2%0.9%50.7%2.4%74.9%13.4%100%7.2%65.9%2%93.4%0.2%100%100%
201467.1%23.1%74.2%36.1%94.9%68.6%100%100%91.1%55.7%99.2%74.1%100%100%
201548.1%33.6%59.3%47.9%96%30.8%100%97.5%87.8%6.5%100%45.1%100%100%
201610.7%4.4%14.1%5.7%69.6%32.9%46.6%3%11%3.7%19.4%6%2.6%0%
201752.7%32.7%62.8%47.2%79.8%69.5%100%100%76%62.6%92.3%79%100%100%
201847.1%0.6%58.4%1.5%78.7%18.4%100%12.3%77.2%5.7%85.6%5.5%100%78.8%
201931%19.2%45.8%34.1%62.6%55.5%100%100%61.4%41.1%87.6%79.9%100%100%
202067.9%24%74.8%35.4%87.3%24.5%100%16.1%80.5%14.2%100%26.5%100%10.6%
202161.3%28.6%69.2%36.9%80.4%41.1%100%25.8%71.5%31.3%79.6%27%100%87.4%
202223.4%9.7%30.9%13.8%45.9%34.5%97%19.1%43.9%11%32.6%7.1%100%43%
202329.7%1.2%37.8%3.6%79.3%17.6%93.2%54.2%38.6%0.8%41.7%14.9%96.7%9.3%
20245.3%0%6.9%0%36.7%5.1%88.6%3.8%8.1%0%7.1%0%80.8%0%
202557%33.2%61.5%41.4%89%30.9%100%77.5%82.9%22.8%76.6%26.5%100%100%

Annual Statistics: Non-consecutive hydroperiod

 A AnnualAX AnnualB AnnualC AnnualD AnnualE AnnualF Annual
Year
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
0 to 89
90 to 210
≥ 211
19910%11.6%88.4%0%24.8%75.2%27.4%50.7%21.9%91.9%8.1%0%12.6%57.7%29.7%35.7%59.4%4.9%94.7%5.3%0%
19920%22.6%77.4%0%38.4%61.6%26.8%56.9%16.4%91.5%8.5%0%32.9%44.3%22.8%32.6%67.2%0.2%100%0%0%
19930%0.2%99.8%0%0.6%99.4%34.8%26.9%38.3%44.1%54.7%1.3%8.5%52.4%39%31.2%34.5%34.3%92.7%7.3%0%
19940%2.1%97.9%0%6.9%93.1%20.9%52.2%26.9%16.1%80.1%3.8%3.7%51.6%44.7%4.9%75.4%19.7%68.2%31.8%0%
19950%0%100%0%0%100%6.4%31.2%62.4%8.5%50%41.5%0%5.7%94.3%0%5.5%94.5%49.7%27.2%23.2%
19960%0.1%99.9%0%0.2%99.8%32.8%27%40.1%57.2%41.5%1.3%5.7%52.4%41.9%17.4%26.3%56.3%88.7%11.3%0%
19970%2.8%97.2%0%6%94%18.7%30.8%50.5%14.4%85.6%0%3.7%54.9%41.5%7.4%28.2%64.4%88.7%11.3%0%
19980%0.7%99.3%0%2.2%97.8%25.1%13.8%61.1%59.3%33.1%7.6%6.5%19.9%73.6%14.6%16.5%69%94.7%5.3%0%
19990%0.1%99.9%0%0.2%99.8%24.5%22.1%53.4%8.5%80.1%11.4%2.8%29.3%67.9%2.7%31%66.3%55%44.4%0.7%
20000.8%7.6%91.6%1.3%14.5%84.2%32.7%27.7%39.6%8.1%91.9%0%4.1%45.9%50%19.4%29.3%51.3%94.7%5.3%0%
20010%26.1%73.9%0%41.7%58.3%25.2%63.8%11%8.1%91.9%0%3.7%78.5%17.9%13.9%80.1%6%83.4%16.6%0%
20020%6%94%0%11.2%88.8%26.7%29.7%43.6%23.3%76.7%0%9.3%52.4%38.2%13.2%25.1%61.8%84.1%15.9%0%
20030%6.1%93.9%0%10%90%21.3%25.2%53.5%8.9%80.1%11%4.1%41.9%54.1%6.3%25.2%68.5%6%66.9%27.2%
20040%4.4%95.6%0%9.3%90.7%36%34.2%29.7%41.1%58.9%0%31.3%31.3%37.4%19.9%32.3%47.8%88.1%11.9%0%
20050%5.7%94.3%0%12.3%87.7%23.3%58.1%18.6%2.5%96.6%0.8%2.8%59.3%37.8%3%58.3%38.7%3.3%96.7%0%
20060%8%92%0%13.1%86.9%29.1%47.2%23.7%85.2%14.8%0%25.6%45.5%28.9%29.6%32.3%38.1%100%0%0%
20075.5%16.9%77.6%12.6%25.1%62.3%29.3%40.9%29.8%64.8%35.2%0%5.3%58.9%35.8%37.3%33.4%29.3%100%0%0%
20080%36.8%63.2%0%50.4%49.6%29.5%55.9%14.6%3.4%96.6%0%3.7%73.2%23.2%1.6%96.1%2.4%15.9%84.1%0%
20090.2%6.6%93.2%0.4%12.7%86.9%23.3%33.2%43.5%2.5%62.7%34.7%3.7%26.4%69.9%5.2%24.3%70.5%49.7%50.3%0%
20100%14.8%85.2%0%23.3%76.7%27.2%26.7%46.1%10.2%89%0.8%3.3%38.2%58.5%10.2%38.6%51.3%18.5%81.5%0%
20112.9%21.5%75.7%7.8%30.4%61.8%32.3%42.1%25.6%30.9%69.1%0%13.8%56.1%30.1%27.1%58%14.9%95.4%4.6%0%
20120%7.5%92.5%0%12.9%87.1%17.9%20%62.1%0.8%23.3%75.8%0.4%6.5%93.1%0.2%17.2%82.6%0.7%73.5%25.8%
20130%3.7%96.3%0%7%93%20.8%20.8%58.5%1.7%56.4%41.9%2%23.2%74.8%1.4%17.4%81.2%2%91.4%6.6%
20141.2%9%89.8%2%16.6%81.4%39.9%16.8%43.3%37.7%58.5%3.8%5.7%25.2%69.1%24.6%21.5%53.9%74.2%25.8%0%
20156.3%25.3%68.5%12.2%34%53.8%31.3%42.2%26.5%79.7%20.3%0%14.6%50.4%35%34.3%51.3%14.4%100%0%0%
20160%2.1%97.9%0%3.5%96.5%18.3%17.9%63.8%0.8%8.1%91.1%0.4%3.3%96.3%0%6.7%93.3%0%28.5%71.5%
20170%9.8%90.2%0%17%83%9.4%43.7%47%0.4%96.6%3%0%30.9%69.1%0%42.5%57.5%0%100%0%
20180%9.4%90.6%0%12.9%87.1%18.6%17.3%64.1%2.5%19.1%78.4%1.6%2.8%95.5%0.3%7.1%92.6%10.6%77.5%11.9%
20195.9%9.7%84.4%10%16.1%73.9%22.9%26.6%50.5%14%55.9%30.1%2.8%24.8%72.4%10%29%61%49%51%0%
20200%18.5%81.5%0%27.3%72.7%7.4%33%59.6%0.4%33.9%65.7%0%8.5%91.5%0%24.1%75.9%0%86.1%13.9%
20212.5%8.4%89.1%4.1%11.4%84.6%17.8%14.8%67.4%0.8%14%85.2%0%3.7%96.3%0%16.1%83.9%0%68.2%31.8%
20220.1%7.3%92.6%0%11%89%19.3%20.4%60.3%3%17.4%79.7%2%1.6%96.3%1.1%7.8%91.1%23.2%44.4%32.5%
20230%2.4%97.6%0%4.5%95.5%10.7%16.1%73.2%0.8%27.1%72%0%3.7%96.3%0%8.3%91.7%3.3%18.5%78.1%
20240%0%100%0%0%100%8.9%15.7%75.4%0.8%16.9%82.2%0%0.8%99.2%0%1.6%98.4%15.2%47.7%37.1%
20254.5%18%77.6%7.4%23.1%69.5%25.3%28.4%46.3%36.9%59.3%3.8%3.7%32.9%63.4%18.5%40.3%41.2%89.4%10.6%0%

Annual Statistics: Mean four-year hydroperiod

 AAXBCDEF
Year
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
Mean 4YHP
Mean 4YHP SD
1995298 days57 days285 days59 days153 days28 days72 days49 days188 days44 days138 days36 days29 days25 days
1996329 days45 days319 days53 days178 days49 days112 days66 days218 days64 days185 days88 days53 days46 days
1997348 days17 days339 days25 days185 days44 days126 days47 days234 days44 days208 days76 days57 days43 days
1998342 days20 days331 days28 days191 days41 days136 days44 days234 days44 days220 days69 days59 days41 days
1999343 days18 days332 days25 days200 days37 days127 days50 days242 days47 days237 days55 days48 days43 days
2000333 days12 days320 days14 days188 days27 days118 days35 days226 days33 days216 days28 days41 days30 days
2001327 days14 days312 days19 days185 days27 days133 days34 days231 days33 days212 days30 days42 days32 days
2002308 days39 days292 days43 days172 days38 days134 days34 days220 days48 days199 days44 days50 days34 days
2003297 days36 days280 days39 days166 days32 days140 days21 days200 days40 days196 days39 days57 days29 days
2004292 days31 days273 days32 days170 days35 days142 days22 days196 days33 days194 days38 days80 days68 days
2005286 days24 days269 days24 days162 days38 days130 days27 days177 days36 days189 days37 days84 days64 days
2006295 days11 days279 days10 days168 days36 days139 days35 days186 days33 days200 days30 days113 days76 days
2007297 days12 days281 days12 days160 days37 days126 days52 days180 days38 days188 days35 days106 days86 days
2008294 days22 days273 days29 days148 days24 days104 days52 days175 days34 days169 days36 days63 days80 days
2009285 days31 days263 days35 days147 days26 days110 days53 days183 days28 days168 days40 days78 days82 days
2010285 days32 days263 days37 days151 days29 days112 days56 days190 days38 days174 days47 days56 days58 days
2011288 days35 days264 days38 days160 days34 days129 days49 days211 days41 days186 days47 days82 days58 days
2012276 days36 days257 days37 days154 days34 days137 days36 days203 days45 days185 days45 days90 days44 days
2013288 days33 days269 days34 days171 days34 days160 days51 days224 days49 days204 days50 days109 days66 days
2014297 days38 days278 days40 days179 days37 days162 days53 days232 days50 days211 days54 days127 days66 days
2015293 days34 days274 days38 days172 days41 days154 days61 days229 days47 days204 days58 days112 days74 days
2016295 days31 days273 days39 days175 days37 days145 days74 days233 days42 days203 days61 days109 days78 days
2017306 days42 days287 days53 days184 days44 days163 days101 days252 days67 days225 days90 days128 days107 days
2018298 days41 days279 days52 days186 days51 days161 days101 days248 days68 days217 days91 days121 days106 days
2019301 days41 days284 days52 days204 days46 days196 days99 days263 days68 days242 days89 days142 days99 days
2020312 days32 days296 days40 days218 days31 days221 days61 days282 days45 days263 days60 days159 days75 days
2021295 days22 days276 days26 days215 days29 days207 days45 days268 days28 days241 days37 days140 days42 days
2022295 days20 days276 days24 days218 days24 days220 days40 days279 days21 days254 days33 days154 days45 days
2023300 days27 days282 days33 days221 days30 days222 days43 days285 days28 days262 days47 days158 days54 days
2024306 days26 days293 days32 days229 days28 days240 days21 days297 days20 days284 days37 days192 days46 days
2025326 days29 days316 days35 days242 days33 days249 days23 days311 days25 days308 days34 days193 days45 days
2026322 days34 days312 days41 days233 days42 days223 days65 days300 days44 days287 days70 days158 days87 days
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Last updated: February 04, 2026 09:27 PM (BJM)