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Caloosahatchee SAV Summary and Epiphyte Project James G. Douglass, PhD

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Presentation on theme: "Caloosahatchee SAV Summary and Epiphyte Project James G. Douglass, PhD"— Presentation transcript:

1 Caloosahatchee SAV Summary and Epiphyte Project James G. Douglass, PhD jdouglass@fgcu.edu

2 Altered Hydrology Conceptual Model of Effects on SAV Submerged Aquatic Vegetation Salinity Variability Nutrient Loading Epiphytic Algae Bad Optical Water Quality Algal Grazers

3 SAV data collected from 9 sites, 1986-2014. Freshwater flow and salinity analyzed over the same period

4 Freshwater Inputs = Tidal Basin, C43 Basin, Lake O. S79 Flow = C43 Basin + Lake O. S79 S77

5 S79 Flow, 1985-2014 Monthly means often outside 12.74 - 79.29 m 3 s -1 envelope

6 Analyzed how many days per year were ABOVE the maximum – And when that was due to Lake O. releases vs. C43 basin runoff alone S79 Flow, 1985-2014

7 Analyzed how many days per year were UNDER the minimum – And how often Lake O. releases prevented below-minimum flows S79 Flow

8 Assessing Salinity Effects on SAV Used Yongshan Wan’s salinity model to calculate salinity for each SAV monitoring site from 1985-2015 Converted raw salinity to “salinity stress indices” for fresh and saltwater SAV, respectively Altered Hydrology Salinity Variability Submerged Aquatic Vegetation

9 SSI = 100*(salinity 1.5 )/(35 1.5 ) FSI = 100*((35-salinity) 2.5 /(35 2.5 ) Used for sites 1-4 Used for sites 5-9 Saltwater stress index, based on salinity response of V. americana Freshwater stress index, based on salinity response of seagrasses

10 Vallisneria americana trends in relation to SSI in the upper estuary

11 Halodule wrightii trends in relation to FSI in the middle estuary

12 Thalassia testudinum trends in relation to FSI in San Carlos Bay

13 Altered Hydrology Conceptual Model of Effects on SAV Submerged Aquatic Vegetation Salinity Variability Nutrient Loading Epiphytic Algae Bad Optical Water Quality Algal Grazers

14 Optical Water Quality Light penetration targets for SAV not being met Light targets from Corbett and Hale (FL Scientist 2006) Light

15 Epiphytic algae further reduces light, but little is known about it in this system

16 Epiphyte Level 0 = Blades look clean; no epiphytes visible to the naked eye Epiphyte Level 1 = Blades have a light or patchy coating of epiphytes Epiphyte Level 2 = Moderately dense epiphytes are obvious on most blades Epiphyte Level 3 = Almost all blades are densely covered in epiphytic growth; blade surfaces obscured SFWMD Epiphyte Level Key H. wrightii T. testudinum

17 SFWMD visual estimates of epiphytes, 2013-2014

18 Comparing more quantitative epiphyte measurements to visual estimates: –  g/cm 2 Chlorophyll a – mg/cm 2 Dry Mass

19 How much light is blocked by epiphytes? Model developed by Frankovitch (2005) converts periphyton (epiphyte) density (mg dry mass cm -2 ) to PAR transmission (I/I 0 ). PAR Transmission % = 100 e -0.16(periphyton density) (Frankovitch 2005)

20 Preliminary data shows that up to 60% of incident light may be blocked by epiphytes on seagrasses in the Caloosahatchee

21 Experiment 1: Epiphyte effects on SAV We will manually remove epiphytes from 0.125m 2 Thalassia testudinum plots to assess epiphyte effects on seagrass health and growth rate in situ. With a sponge

22 Experiment 2: Causes of Epiphytization Possible causes: – Excess nutrients – Lack of grazers Nutrient enrichment: 175g fertilizer bags Crustacean deterrent: 400g plaster block containing a chemical deterrent Mesh bag full of fertilizer Plaster block of Carbaryl

23 Experiment 2: Causes of Epiphytization Nutrient Enrichment Treatment Control+Nutrients Grazer Deterrent Treatment Control 0 10 plots N 10 plots +Deterrent D 10 plots ND 10 plots

24 Altered Hydrology Conceptual Model of Effects on SAV Submerged Aquatic Vegetation Salinity Variability Nutrient Loading Epiphytic Algae Bad Optical Water Quality Algal Grazers


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