Alafia River Minimum Flows and Levels - Southwest Florida Water ...
Alafia River Minimum Flows and Levels - Southwest Florida Water ...
Alafia River Minimum Flows and Levels - Southwest Florida Water ...
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Predicted Habitat Gain/Loss for Laregemouth Bass Fry Based on Historic Flow<br />
Conditions (1970-1999) being reduced by 10, 20, 30, <strong>and</strong> 40 percent at <strong>Alafia</strong> <strong>River</strong> Site<br />
27<br />
25%<br />
20%<br />
15%<br />
Habitat Gain/Loss<br />
10%<br />
5%<br />
0%<br />
-5%<br />
10% Flow Reduction<br />
20% Flow Reduction<br />
30% Flow Reduction<br />
40% Flow Reduction<br />
-10%<br />
-15%<br />
-20%<br />
Figure 4-7 Example of a plot of habitat gain/loss relative to flow reductions of 10, 20, 30,<br />
<strong>and</strong> 40%. Data were obtained from time series analysis <strong>and</strong> the flow reductions are<br />
relative to the historic flows recorded at the USGS Lithia Gage site from 1970-1999.<br />
4.3.2.1 Development of Habitat Suitability Curves<br />
Habitat suitability criteria used in the PHABSIM model include continuous<br />
variable or univariate curves designed to encompass the entire range of suitable<br />
conditions for water depth, water velocity, <strong>and</strong> substrate/cover type <strong>and</strong><br />
proximity. There are three types of suitability curves.<br />
Type I curves do not depend upon acquisition of additional field-data but depend,<br />
instead upon personal experience <strong>and</strong> professional opinion. Informal<br />
development of Type I curves typically involves a roundtable discussion (Scheele<br />
1975); stakeholders <strong>and</strong> experts meet to discuss habitat suitability information to<br />
be used for prediction of habitat availability for specific target organisms. A more<br />
formal process, know as the Delphi method (Zuboy 1981) involves submission of<br />
a questionnaire to a large respondent group of experts. Results from this survey<br />
process are summarized by presenting a median <strong>and</strong> interquartile range for each<br />
variable. Several iterations of this process must be used in order to stabilize the<br />
responses, each expert being asked to justify why his/her answer may be outside<br />
the median or interquartile range when presented the results of the data. The<br />
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