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Everglades Depth Estimation Network (EDEN) for Support of Biological and Ecological Assessments

Cape Sable Seaside Sparrow (CSSS) Viewer

Cape 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
      • 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. Coordinate information — clicking on the map once displays lat/long information.
  10. 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.
(cm)
(in.)
46
18.1
30
11.8
17
6.7
0
0
Water depth
(cm)
(in.)
400
157
0
0
Ground elevation (NAVD88)
(days)
210.5
89.5
24.5
0
Four-year hydroperiod
(days)
43
17
0
Four-year hydroperiod SD
Surface water gage
Ground water gage
Select water depth date range:
Date range
Displayed water depth date:
  0/0/0000  
Select 4yr hydroperiod year:
Displayed hydroperiod year:
  2017  
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%
200030.1%13.4%45.1%23% 90.9%73.8%100%95.8%79.3%40.2%97.5%65.2%100%100%
200184.1%39.6%87.5%52.6% 100%100%100%100%100%89%100%99.5%100%100%
200273.5%25.1%79.2%40.4% 99.6%62.3%100%100%100%68.7%98.9%59.7%100%100%
200336.6%2.8%48%5.7% 41.2%25.5%96.6%58.9%21.5%18.3%66%23.8%100%10.6%
200451.4%29.4%61.8%44.2% 100%93.3%100%100%98.4%84.1%100%90%100%100%
200555.9%24.8%65.4%39.3% 99.7%83%100%100%76.4%55.7%100%93.4%100%100%
200656.8%33.5%66.1%47.8% 98.5%43.7%100%100%84.6%57.3%100%64.7%100%100%
200728.6%6.3%43.9%17.6% 91.5%35.6%100%97.5%69.5%18.7%98.3%36.4%100%100%
200864.1%22.6%71.8%37% 100%69.6%100%99.2%95.1%20.3%100%74.8%100%100%
200972.9%16.3%78.7%33.3% 100%67%100%86.9%100%20.3%100%15.8%100%100%
201029.9%10.9%42.4%18.7% 77.3%58.6%100%94.5%48.4%22.8%85.1%66.3%100%60.3%
201174.4%62.3%79.9%70.4% 100%99.6%100%100%100%93.5%100%100%100%100%
201256.8%11.3%66.1%20.2% 98.8%23%100%8.5%82.5%0.8%99.7%8%100%35.8%
201337.5%0.6%50.8%1.6% 74.4%12.9%100%8.9%64.2%2%94.8%0%100%100%
201467.5%23.1%74.5%35.4% 95.3%69.2%100%100%91.9%46.3%99.5%74.9%100%100%
201548.9%32.9%59.9%47.1% 96.6%31.2%100%97.5%86.6%6.5%100%45.6%100%100%
201610.7%3.9%13.8%4.8% 69.7%32%44.9%3.4%4.9%3.7%20.1%5.2%1.3%0%

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%
20000.9%8.1%91%2.2%15.6%82.2% 32.6%28.3%39.1%8.5%91.5%0%3.7%33.7%62.6%20.4%28.5%51.1%95.4%4.6%0%
20010%24.8%75.2%0%40.6%59.4% 24.9%64.4%10.8%8.9%91.1%0%3.7%76.4%19.9%14.3%81.3%4.4%86.1%13.9%0%
20020%6.1%93.9%0%11.9%88.1% 26.4%29.6%44.1%25.4%74.6%0%9.3%49.2%41.5%13.6%25.2%61.1%84.8%15.2%0%
20030%6.2%93.8%0%10.9%89.1% 20.6%24.3%55.1%10.2%80.9%8.9%3.7%27.6%68.7%5.8%26.2%68%4.6%68.9%26.5%
20040%5.2%94.8%0%11%89% 35.9%34.6%29.5%41.1%58.9%0%19.9%39.8%40.2%19.6%33.2%47.2%89.4%10.6%0%
20050%4%96%0%11%89% 22.5%59.6%18%3%96.2%0.8%2.8%52.4%44.7%3.1%57.5%39.3%2.6%97.4%0%
20060.1%8.8%91.2%0.1%15%84.9% 29%47.2%23.8%90.3%9.7%0%17.5%50.8%31.7%29.9%32.9%37.1%100%0%0%
20074.4%17.3%78.4%11.5%25.1%63.4% 28.6%41.5%29.8%66.5%33.5%0%6.5%52.8%40.7%37%34.8%28.2%100%0%0%
20080%35.2%64.8%0%48.6%51.4% 29%56.7%14.3%4.7%95.3%0%3.7%72.8%23.6%2.4%95%2.7%16.6%83.4%0%
20090.2%6.7%93.1%0.4%13.4%86.1% 23.3%33.6%43.1%6.4%58.1%35.6%3.7%16.7%79.7%5.3%24.3%70.4%52.3%47.7%0%
20100%15.1%84.9%0%24.1%75.9% 26.5%27.6%45.9%11.4%87.7%0.8%3.7%22.8%73.6%9.7%39.3%50.9%19.2%80.8%0%
20113.2%21%75.7%8.5%30.3%61.2% 31.7%42.8%25.4%36.9%63.1%0%11.8%57.7%30.5%26.5%59.9%13.6%96%4%0%
20120%7.4%92.6%0%12%88% 17.4%19.9%62.7%0.8%25%74.2%0.4%5.7%93.9%0%18%82%2.6%74.8%22.5%
20130%3.2%96.8%0%5.6%94.4% 20.4%20.6%59%2.1%57.2%40.7%2%12.6%85.4%1.7%17.4%80.9%4%89.4%6.6%
20140.4%10.1%89.6%1.2%17.5%81.3% 38.7%18.5%42.8%38.1%58.1%3.8%6.5%12.6%80.9%25.1%21.3%53.6%79.5%20.5%0%
20156.5%23.7%69.8%11.8%33.2%55% 31.2%42.5%26.3%80.1%19.9%0%11%51.2%37.8%35.1%51.6%13.3%100%0%0%
20160%1.5%98.5%0%2.4%97.6% 17.9%17.6%64.5%0.8%7.6%91.5%0.4%3.3%96.3%0%6.9%93.1%0%29.8%70.2%

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
2001326 days14 days311 days20 days185 days27 days132 days34 days235 days30 days212 days30 days42 days32 days
2002307 days38 days291 days43 days172 days38 days133 days34 days225 days43 days198 days44 days50 days33 days
2003297 days35 days279 days39 days166 days31 days139 days20 days209 days36 days195 days39 days56 days29 days
2004292 days31 days273 days32 days170 days35 days140 days22 days209 days36 days194 days38 days78 days68 days
2005287 days24 days269 days24 days163 days38 days128 days27 days191 days35 days188 days37 days82 days64 days
2006296 days12 days279 days11 days168 days36 days138 days35 days201 days31 days199 days30 days112 days77 days
2007297 days13 days280 days14 days160 days37 days124 days52 days194 days37 days187 days35 days105 days86 days
2008295 days21 days272 days28 days148 days24 days102 days52 days188 days32 days168 days36 days62 days80 days
2009285 days30 days263 days34 days147 days26 days108 days54 days193 days29 days167 days40 days77 days82 days
2010285 days31 days263 days35 days151 days29 days110 days57 days199 days37 days173 days47 days54 days56 days
2011289 days34 days265 days37 days160 days34 days128 days49 days222 days42 days185 days47 days80 days57 days
2012276 days37 days256 days37 days154 days34 days136 days36 days215 days46 days184 days45 days88 days43 days
2013288 days34 days268 days36 days172 days34 days158 days52 days235 days47 days203 days50 days106 days66 days
2014298 days38 days278 days42 days179 days38 days160 days53 days243 days48 days210 days54 days124 days65 days
2015293 days35 days275 days39 days172 days41 days152 days61 days239 days45 days203 days59 days110 days73 days
2016295 days31 days275 days39 days176 days37 days144 days74 days243 days39 days202 days62 days107 days77 days
2017307 days42 days289 days53 days185 days44 days162 days101 days263 days66 days224 days90 days125 days106 days
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Last updated: March 14, 2017 06:42 PM (BJM)