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Everglades Depth Estimation Network (EDEN) for Support of Biological and Ecological Assessments
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Cape Sable Seaside Sparrow (CSSS) Viewer
EDENapps
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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 six inches (about 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 six inches 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 team.

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 ERTP monitoring application for this beta version
  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. Or download the latest year-by-year dry conditions PDF report 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:
  2022  
Dry count statistics:
For 2022-11-26
 ≥40% dryDHP
AX30 days298 days
A17 days311 days
A1104 days157 days
A221 days307 days
B88 days186 days
C90 days236 days
D66 days262 days
E32 days296 days
F118 days90 days
Color scale: CSSS ramp Detailed
Water depth transparency
Ground elevation transparency
Four-year hydroperiod transparency

Nesting Season/Annual Statistics for Critical Habitats

Summary statistics for the Cape Sable seaside sparrow critical habitats, 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%
202068.9%29.5%75.6%40.5%87.3%25.1%100%16.5%80.5%14.2%100%27.4%100%11.3%
202162.4%28.6%70.1%36.9%79.9%41.2%100%26.3%71.5%30.9%79.8%27%100%80.8%
202223.4%9.7%30.9%13.8%46%34.5%97.5%20.3%43.9%11%32.6%7.2%100%43%

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%
20195.3%9.8%84.9%9.2%16.5%74.3%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%82%0%26.7%73.3%7.8%32.8%59.4%0.4%36.9%62.7%0%8.1%91.9%0%24.6%75.4%0%86.8%13.2%
20212.6%8.5%89%4.1%11.4%84.5%18%15.1%67%0.8%14.4%84.7%0%3.7%96.3%0%16.1%83.9%0%63.6%36.4%

Annual Statistics: Mean four-year hydroperiod

 AAXBCDEF
Year
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
Mean 4YHP
Mean 4YHP %
Mean 4YHP SD
1995298 days2%57 days285 days6%59 days153 days42%28 days72 days25%49 days188 days53%44 days138 days52%36 days29 days6%25 days
1996329 days0%45 days319 days1%53 days178 days38%49 days112 days71%66 days218 days50%64 days185 days57%88 days53 days24%46 days
1997348 days0%17 days339 days0%25 days185 days34%44 days126 days74%47 days234 days42%44 days208 days41%76 days57 days26%43 days
1998342 days0%20 days331 days0%28 days191 days37%41 days136 days82%44 days234 days37%44 days220 days33%69 days59 days29%41 days
1999343 days0%18 days332 days0%25 days200 days25%37 days127 days75%50 days242 days28%47 days237 days22%55 days48 days20%43 days
2000333 days0%12 days320 days0%14 days188 days24%27 days118 days73%35 days226 days34%33 days216 days24%28 days41 days12%30 days
2001327 days2%14 days312 days6%19 days185 days26%27 days133 days83%34 days231 days33%33 days212 days27%30 days42 days11%32 days
2002308 days4%39 days292 days9%43 days172 days28%38 days134 days84%34 days220 days42%48 days199 days31%44 days50 days13%34 days
2003297 days6%36 days280 days13%39 days166 days32%32 days140 days91%21 days200 days52%40 days196 days35%39 days57 days17%29 days
2004292 days9%31 days273 days17%32 days170 days32%35 days142 days89%22 days196 days52%33 days194 days36%38 days80 days34%68 days
2005286 days8%24 days269 days16%24 days162 days35%38 days130 days84%27 days177 days50%36 days189 days38%37 days84 days44%64 days
2006295 days6%11 days279 days11%10 days168 days34%36 days139 days86%35 days186 days49%33 days200 days33%30 days113 days78%76 days
2007297 days6%12 days281 days11%12 days160 days41%37 days126 days85%52 days180 days51%38 days188 days44%35 days106 days76%86 days
2008294 days11%22 days273 days21%29 days148 days45%24 days104 days69%52 days175 days54%34 days169 days44%36 days63 days9%80 days
2009285 days16%31 days263 days27%35 days147 days48%26 days110 days81%53 days183 days63%28 days168 days53%40 days78 days17%82 days
2010285 days13%32 days263 days23%37 days151 days47%29 days112 days82%56 days190 days59%38 days174 days48%47 days56 days9%58 days
2011288 days16%35 days264 days27%38 days160 days37%34 days129 days87%49 days211 days47%41 days186 days45%47 days82 days45%58 days
2012276 days16%36 days257 days26%37 days154 days38%34 days137 days91%36 days203 days47%45 days185 days46%45 days90 days53%44 days
2013288 days11%33 days269 days20%34 days171 days32%34 days160 days96%51 days224 days39%49 days204 days42%50 days109 days66%66 days
2014297 days10%38 days278 days18%40 days179 days30%37 days162 days95%53 days232 days39%50 days211 days41%54 days127 days85%66 days
2015293 days9%34 days274 days17%38 days172 days28%41 days154 days90%61 days229 days34%47 days204 days36%58 days112 days73%74 days
2016295 days12%31 days273 days20%39 days175 days28%37 days145 days92%74 days233 days35%42 days203 days39%61 days109 days73%78 days
2017306 days8%42 days287 days13%53 days184 days24%44 days163 days83%101 days252 days24%67 days225 days30%90 days128 days76%107 days
2018298 days10%41 days279 days16%52 days186 days29%51 days161 days89%101 days248 days26%68 days217 days36%91 days121 days74%106 days
2019301 days10%41 days284 days14%52 days204 days25%46 days196 days54%99 days263 days17%68 days242 days23%89 days142 days93%99 days
2020312 days8%32 days296 days13%40 days218 days22%31 days221 days35%61 days282 days8%45 days263 days17%60 days159 days87%75 days
2021295 days13%21 days276 days20%25 days215 days25%29 days207 days46%44 days268 days17%28 days242 days27%37 days140 days97%41 days
2022295 days13%20 days276 days19%24 days218 days20%24 days220 days39%40 days279 days12%21 days254 days22%33 days155 days94%47 days
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This page is: https://sofia.usgs.gov/eden/csss/index.php
Comments and suggestions? Contact: Bryan McCloskey
Last updated: October 21, 2022 03:16 PM (BJM)