UUnniivveerrssiittyy ooff SSoouutthh FFlloorriiddaa DDiiggiittaall CCoommmmoonnss @@ UUnniivveerrssiittyy ooff SSoouutthh FFlloorriiddaa USF Tampa Graduate Theses and Dissertations USF Graduate Theses and Dissertations 3-26-2014 KKaarreenniiaa bbrreevviiss hhaarrmmffuull aallggaall bblloooommss:: TThheeiirr rroollee iinn ssttrruuccttuurriinngg tthhee oorrggaanniissmmaall ccoommmmuunniittyy oonn tthhee WWeesstt FFlloorriiddaa SShheellff Alisha Marie Gray University of South Florida, [email protected] Follow this and additional works at: https://digitalcommons.usf.edu/etd Part of the Aquaculture and Fisheries Commons, and the Ecology and Evolutionary Biology Commons SScchhoollaarr CCoommmmoonnss CCiittaattiioonn Gray, Alisha Marie, "Karenia brevis harmful algal blooms: Their role in structuring the organismal community on the West Florida Shelf" (2014). USF Tampa Graduate Theses and Dissertations. https://digitalcommons.usf.edu/etd/5029 This Thesis is brought to you for free and open access by the USF Graduate Theses and Dissertations at Digital Commons @ University of South Florida. It has been accepted for inclusion in USF Tampa Graduate Theses and Dissertations by an authorized administrator of Digital Commons @ University of South Florida. For more information, please contact [email protected]. Karenia brevis Harmful Algal Blooms: Their Role in Structuring the Organismal Community on the West Florida Shelf by Alisha Marie Gray A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science with a concentration in Marine Resource Assessment Department of Marine Science College of Marine Science University of South Florida Major Professor: Cameron H. Ainsworth, Ph.D. John J. Walsh, Ph.D. David D. Chagaris, Ph.D. Date of Approval: March 26, 2014 Keywords: Ecopath with Ecosim, fish kills, Gag grouper, brevetoxin, red tides Copyright © 2014, Alisha Marie Gray ACKNOWLEDGMENTS To begin, I would like to express my utmost gratitude to my committee members, Dave Chagaris and John Walsh for their time, patience, and expertise, and especially to my advisor and mentor, Cameron Ainsworth. I have learned and accomplished so much with their guidance and help. Florida Fish and Wildlife Research Institute was immensely helpful, specifically Behzad Mahmoudi, Karen Steidinger, Theresa Cody, and Kerry Flaherty. They provided datasets, invaluable knowledge of Karenia brevis harmful algae blooms, and foundational models of the West Florida Shelf which all allowed me to complete this project. National Oceanic and Atmospheric Administration also contributed to the model not only by providing the Karenia brevis severity index, but by also putting the model to use in the SEDAR-33 document. Funding for this research was made available by the Von Rosenstiel fellowship, the Southern Kingfish fellowship, and the Sanibel Captiva/Anne and Al Bridell Memorial fellowship, all available through the University of South Florida’s College of Marine Science. Further funding for data collection was provided by C-IMAGE. Finally, I would like to thank my friends and family who have motivated and supported my endeavors to advance myself in the marine sciences. Without the support of all of these people, among many of whom I could not mention, I would not be where I am today, and I will always have them to thank. TABLE OF CONTENTS List of Tables ..................................................................................................................... iii List of Figures .................................................................................................................... iv List of Acronyms .................................................................................................................v List of Symbols .................................................................................................................. vi Abstract ............................................................................................................................. vii Chapter One: Introduction ...................................................................................................1 1.1 Karenia brevis ....................................................................................................1 1.2 Karenia brevis in the food web ..........................................................................3 1.3 Impacts on humans ............................................................................................4 1.4 Objectives ..........................................................................................................5 Chapter Two: Methods ........................................................................................................9 2.1 Ecopath with Ecosim description .......................................................................9 2.2 Ecopath model construction .............................................................................11 2.3 Incorporating HABS into the model ................................................................15 2.4 Historical model ...............................................................................................17 2.5 Tuning the historical model .............................................................................20 2.6 Application of the model .................................................................................21 Chapter Three: Results .......................................................................................................25 3.1 West Florida Shelf ecosystem ..........................................................................25 3.2 Gag case study .................................................................................................32 Chapter Four: Discussion ...................................................................................................35 4.1 Karenia brevis on the West Florida Shelf ........................................................35 4.2 Gag case study .................................................................................................40 4.3 Improvements and future research ...................................................................41 Chapter Five: Conclusions .................................................................................................44 Literature Cited ..................................................................................................................46 Appendices .........................................................................................................................55 i Appendix A: Model data tables .............................................................................55 Appendix B: Pre-balance tests ...............................................................................62 Appendix C: Fit to times series graphs ..................................................................64 ii LIST OF TABLES Table 1. List of single species groups added to West Florida Shelf model (Okey and Mahmoudi 2002) for this study ....................................................................13 Table 2. Discard values in tonnes/km2 applied to the historical HAB fleet to represent mortality associated with Karenia brevis blooms ...............................19 Table 3. Δ SS with Karenia brevis bloom mortality in functional groups directly affected by the bloom mortality ..........................................................................26 Table 4. Results of all statistical analyses performed to compare the effects of Karenia brevis bloom mortality to no bloom mortality on the model ................28 Table 5. Natural mortality as a result of harmful algal blooms (M ) on Gag HAB grouper ................................................................................................................28 Table A.1. List of species that make up each aggregated functional group (Okey and Mahmoudi 2002) ......................................................................................55 Table A.2. Origins of data to build the time series used for the model ............................57 Table A.3. All basic parameter inputs used in the final historical model .........................60 iii LIST OF FIGURES Figure 1. Comparison of Gag grouper biomass in the presence and absence of Karenia brevis blooms ......................................................................................29 Figure 2. Percent change in biomass across the food web in the presence and absence of Karenia brevis bloomsmortality .....................................................29 Figure 3. Comparison of Gag grouper productivity in the presence and absence of of Karenia brevis blooms..................................................................................30 Figure 4. Comparison of Shannon biodiversity indices for pelagic functional groups in the presence and absence of Karenia brevis blooms ........................30 Figure 5. Comparison of Shannon biodiversity indices for benthic functional groups in the presence and absence of Karenia brevis blooms ........................31 Figure 6. Karenia brevis bloom mortality with and without the presence of fisheries ..............31 Figure 7. Karenia brevis bloom mortality on adult Gag grouper ........................................32 Figure 8. Adult Gag mortality ...........................................................................................34 Figure 9. Comparison of Gag consumption in the presence and absence of Karenia brevis blooms ................................................................................................ 34 Figure B.1. Total biomasses organized by trophic level for year 1980 ............................62 Figure B.2. Functional group productivity (production over biomass) organized by trophic level ..............................................................................................62 Figure B.3. Functional groups organized by trophic level, high to low ...........................63 Figure C.1. Model biomass simulations against time series .............................................64 Figure C.2. Model landings simulations against time series ............................................64 iv LIST OF ACRONYMS EwE Ecopath with Ecosim FWRI Fish and Wildlife Research Institute GAM generalized additive model HABs harmful algal blooms NPZ nutrient-phytoplankton-zooplankton NOAA National Oceanic and Atmospheric Association SS sum of squares VB Von Bertalanffy v LIST OF VARIABLES a and b Length-weight parameters F fishing mortality K Von Bertalanffy growth parameter L and L length at time and Von Bertelanffy length t inf at infinity M natural mortality P/B production over biomass Q/B consumption over biomass W /W weight of maturity over weight at infinity mat inf Z total mortality vi ABSTRACT Karenia brevis dinoflagellate blooms off the west coast of Florida can create devastating effects on marine communities when they release a neurotoxin known as a brevetoxin. These blooms, informally referred to as red tides, can cause massive fish kills, necessitate closures of shellfish fisheries, and can even leave lingering toxins that impact shelf communities long after the bloom has dissipated. As a result, much effort has been put into studying K. brevis bloom initiation and dynamics. However, how K. brevis blooms impact Florida’s fisheries is not fully understood because the relationship between K. brevis cell counts and fish mortality is poorly described. To study this relationship and the ecosystem response to K. brevis blooms, Ecopath with Ecosim (EwE) modeling is used to force K. brevis bloom mortality on the shelf ecosystems by using a recently developed time series that indexes K. brevis bloom severity. This index dynamically drives K. brevis bloom mortality in EwE in a historical reconstruction scenario from 1980 to 2009. Three hypotheses on ecosystem response are explored using Gag grouper as a case study. We postulate a) that K. brevis blooms impose bottom-up and top-down effects on the food web, b) that episodic perturbations by these blooms shape the community structure and c) that fishing pressure exacerbates those effects. Results support the hypothesis that K. brevis blooms pose top-down food web pressures, which is seen by evidence of trophic cascading. Changes in community structure with bloom mortality are also evidenced by changes seen in biodiversity and richness. An vii
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