Weeki Wachee River System Recommended Minimum Flows and ...

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Table 5-11 Rank Order of Mollusc Abundance in the Mud and Weeki Wachee River (Estevez 2005) Species Number Percent Cumulative Percent Tagelus plebeius 82 40.0 40.0 Polymesoda caroliniana 47 22.9 62.9 Crassostrea virginica 31 15.1 78.0 Littoraria irrorata 13 6.3 84.4 Macoma constricta 10 4.9 89.3 Ischadium recurvum 9 4.4 93.7 Melampus sp. 4 2.0 95.6 Tellina sp. 2 1.0 96.6 Anomalocardium auberiana 1 0.5 97.1 Corbicula fluminea 1 0.5 97.6 Melongena corona 1 0.5 98.0 Nassarius vibex 1 0.5 98.5 Pisidium sp. 1 0.5 99.0 Polinices duplicatus 1 0.5 99.5 Veneridae 1 0.5 100.0 Total 205 100.0 5.4.2 Relation to Inflow To date, the mollusc surveys done along the west coast of Florida have been one, or two day events per river. Thus, there has been no attempt to sample across a range of stream flows. Montagna (2006), using data from the Peace, Myakka, Alafia, Weeki Wachee / Mud rivers, Shell Creek and Dona/Robert's Bay identified several species that characterize a particular salinity zone. He went on to conclude : " In this limited analysis of southwest Florida mollusk communities, it is concluded that mollusk species are controlled more by water quality rather than the sediment they live in or on. The most important variable correlated with mollusk communities is salinity, which is a proxy for freshwater inflow. It is impossible to directly link community changes in response to inflow changes, because no(t) replicates over time were carried out in the rivers sampled. Although total mollusk abundance was not a good indicator of inflow effects, certain indicator species have been identified however, that characterize salinity ranges in southwest Florida rivers." ____________________________________________________________________________________________ Proposed Minimum Flows and Levels for Weeki Wachee River Page 89 of 164 Biological Characteristics
The most common molluscs present are included in Table 5-12 and compared to the community observed in the Weeki Wachee/Mud River complex. Montagna found a number of significant relationships between abundance and salinity which can be expressed as : y = а * exp(-0.5*(ln(s/c)/b) 2 ) Where y = Number of organisms / m 2 a = maximum abundance s = salinity (ppt) c = maximum salinity value b = rate of response change The model assumes that there is an optimal range for salinity and that values will decline in a non-linear fashion for salinities on either side of optimal (Montagna et al. 2002). An example response is provided in Figure 5-5 for Polymesoda caroliniana. Table 5-13 provides the coefficients for significant (r 2 > 0.3) response of dominant native taxa in the Weeki Wachee and Mud Rivers. Table 5-12 Rank Mollusc Abundance – Florida West Coast Tidal Rivers (Montagna 2006) Percent Composition of Community Abundance Weeki & Taxa All Rivers Mud Corbicula fluminea 40.4 1.25 Polymesoda caroliniana 11.1 21.2 Rangia cuneata 8.0 0 Tagelus plebeius 5.6 23.8 Amygdalum papyrium 5.2 0 Neritina usnea 3.7 0 Geukensia granosissima 3.4 0 Tellina versicolor 3.3 0 Crassostrea virginica 3.2 25.0 Macoma constricta 3.2 0 Ischadium recurvum 2.2 15.0 Littoraria irrorata 2.2 8.8 Mulinia lateralis 2.1 0 Nassarius vibex 1.7 0 Mollusc_Raw_Dat.xls Cumulative 95 95 ____________________________________________________________________________________________ Proposed Minimum Flows and Levels for Weeki Wachee River Page 90 of 164 Biological Characteristics
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Weeki Wachee River System Recommend
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Conversion Table Metric to U.S. Cus
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5.2 FISH ..........................
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Figure 3-2 Location of Bathymetric
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LIST OF TABLES Table 1-1 Rule-of-Th
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Table 8-1 Summary of Weeki Wachee M
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Executive Summary Minimum Flows and
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CHAPTER 1 - PURPOSE & BACKGROUND OF
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1) flood flows that determine the b
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the area." What constitutes "signif
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Table 1-1 Rule-of-Thumb Estimates f
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this report identifies specific res
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1.6 Content of Remaining Chapters I
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CHAPTER 2 - WATERSHED CHARACTERISTI
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# # # circular vent 1.8 meters in d
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Figure 2-5 1970s Aerial with 1999 U
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is a variation of the Seminole word
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Figure 2-6 Hurricane Tracks near Ba
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varied by period. The variation was
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2.3.2 Baseline Period Figure 2-10 i
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found (ktau p=0.06) between total g
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similarly across the springsheds ex
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Figure 2-15 Wavelet Filtered Discha
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Figure 2-16 INTB Groundwater Model
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2.6 Seasonal Blocks As described in
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Table 2-6 Median (cfs) Flow by Bloc
Page 54 and 55: # # # Surface waters in this stretc
Page 56 and 57: 3.1.3 Segmentation Segmentation was
Page 58 and 59: Figure 3-5 Dominant SAV and Median
Page 60 and 61: Figure 3-6 Sediment Characteristics
Page 62 and 63: Figure 3-7 Shoreline / Buffer Veget
Page 64 and 65: CHAPTER 4 - TIDE, SALINITY & WATER
Page 66 and 67: Two additional harmonic pairs were
Page 68 and 69: Figure 4-5. Median Bottom Salinity
Page 70 and 71: Figure 4-7 Salinity Range (1984-200
Page 72 and 73: uncovering in response to strong wi
Page 74 and 75: E) Salinity = β o + β 1 *Flow 2 +
Page 76 and 77: Additional exploratory attempts usi
Page 78 and 79: 86 = 186 cfs, SWFWMD 1994-96 = 167
Page 80 and 81: A regression of the form below was
Page 82 and 83: Table 4-8 Median Water Quality of W
Page 84 and 85: Figure 4-10 Nitrate Concentration a
Page 86 and 87: CHAPTER 5 - BIOLOGICAL CHARACTERIST
Page 88 and 89: Figure 5-1 Principal Component Anal
Page 90 and 91: measured volume sampled which was t
Page 92 and 93: 5.2.2 Relation to inflow Response t
Page 94 and 95: Table 5-7 Location Response (km u )
Page 96 and 97: Table 5-9 Abundance Response to Inf
Page 98 and 99: animals can survive chronic exposur
Page 100 and 101: Figure 5-3 Number of Aerial Manatee
Page 102 and 103: Figure 5-5(a) Molluscan Presence /
Page 106 and 107: Figure 5-5 Polymesoda caroliniana A
Page 108 and 109: Figure 6-1 Plankton Tow Flows Compa
Page 110 and 111: In application, a baseline area and
Page 112 and 113: 6.1.4 Benthos Protection for benthi
Page 114 and 115: Figure 6-3. Location of the Three P
Page 116 and 117: 7.2 Manatee Approach Establishing a
Page 118 and 119: Figure 7-2 Joint Probability of Occ
Page 120 and 121: Figure 7-3 Maximum Day Manatee Usag
Page 122 and 123: Figure 7- 6 Example Calculations fo
Page 124 and 125: Figure 7- 7 Estimation of Flow Redu
Page 126 and 127: Figure 7-8. Summary Results for the
Page 128 and 129: The reductions in flow that meet th
Page 130 and 131: probably accounts in part for the d
Page 132 and 133: Postel, S. and B.Richter. 2003. Riv
Page 134 and 135: Stanford, J.A., J.V.Ward, W.J. Liss
Page 136 and 137: Culter, J.K. 1986. Water Chemistry.
Page 138 and 139: CHAPTER 10 - APPENDICES 10.1 Append
Page 140 and 141: The wavelet used is the symmlets wa
Page 142 and 143: explains, the energy plot shows the
Page 144 and 145: 0 if no significant withdrawal Z =
Page 146 and 147: One advantage of using this regress
Page 148 and 149: Technical Memorandum January 22, 20
Page 150 and 151: Lecanto 1 & 2 #S Well Site Descript
Page 152 and 153: Figure 4. HSPF subbasins in the INT
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Most of the limestone mines located
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3.1.3 Septic Tank Recharge in the S
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Figure 10. Groundwater grid in the
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Basso, R.J., 2004, Hydrogeologic Se
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10.2 Appendices - Chapter 3 Appendi
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10.3 Appendices - Chapter 4 Appendi
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Appendix 4-2 Data Sources Water qua
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Appendix 4-3 Water Quality Trend Gr
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Water Quality Trend Graphics, conti
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United States Department of the Int
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October 8,2008 Florida Fish and Wil
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Martin Kelly, Ph.D. Page 3 October
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Scientific Peer Review of the Propo
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Determining a low flow need during
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Current state water policy, as expr
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Spring, Twin Dees Spring and possib
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under varying flow regimes. The fir
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Weeki Wachee Rainfall, Springflow a
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6.0 Discharge:Precipitation (cfs/in
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Nevertheless, a major concern with
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system grid is not totally orthogon
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In a hydrodynamic model study, one
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analysis was rather cursory. The Di
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(taxa) richness in the WWRS. If the
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Freshwater Habitats Approximately 1
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ERRATA and EDITORIAL COMMENTS Page
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Page Paragraph Line Comment 14 Some
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Page Paragraph Line Comment 21 The
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Page Paragraph Line Comment 26 The
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REFERENCES Alber, M. 2002. A Concep
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Richter, B. D., J. V. Baumgartner,
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the regression equation used to pre
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and the three independent approache
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The Southwest Florida Water Managem
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the model in terms of tides, salini
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Attachment 1 - Comparison of salini
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Figure 1. Predicted drawdown (feet)
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