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1st Amendment 05/22/2019 adi*--4-°? I Kevin Madok, CPA )1! Clerk of the Circuit Court& Comptroller—Monroe County, Florida DATE: July 23, 2019 TO: Rhonda Haag, Director Sustainability&Projects Lindsey Ballard,Aide to the County Administrator FROM: Pamela G. Hancoc O.C. SUBJECT': May 22 BOCC Meeting Attached is an electronic copy of the following item for your handling: 06 Amendment No. 1 to the Agreement with the University of Miami, to provide canal and nearshore water monitoring services to measure the effects canal water quality may have on nearshore waters, in the amount of$497,211.00. Should you have any questions please feel free to contact me at(305) 292-3550. cc: County Attorney Finance File KEY WEST MARATHON PLANTATION KEY PK/ROTH BUILDING 500 Whitehead Street 3117 Overseas Highway 88820 Overseas Highway 50 High Point Road Key West,Florida 33040 Marathon,Florida 33050 Plantation Key,Florida 33070 Plantation Key,Florida 33070 305-294-4641 305-289-6027 305-852-7145 305-852-7145 AMENDMENT ONE (1) TO CONTRACT BETWEEN MONROE COUNTY BOARD OF COUNTY COMMISSIONERS AND UNIVERSITY OF MIAMI FOR FLORIDA KEYS WATER QUALITY MONITORING SERVICES This AMENDMENT ONE (1) TO CONTRACT ("Amendment") is entered into on the 22nd day of May, 2019, to that contract dated July 18, 2019, between the Monroe County Board of County Commissioners, 1100 Simonton Street, the Gato Building, Room 2-205, Key West, Florida 33040, (COUNTY) and the University of Miami, 1320 S. Dixie Highway, Suite 650, Coral Gables, FL 33146 (UNIVERSITY). WITNES SETH WHEREAS, the COUNTY and UNIVERSITY entered into a certain contract dated July 18th, 2018 ("Agreement")to perform water quality monitoring services for the update to the Florida Keys Reasonable Assurance Document (FRAD) and to perform Canal Monitoring services for the COUNTY; and WHEREAS, the Florida Department of Environmental Protection (DEP) via a DEP Grant Agreement (Agreement Number MN008) provides funding to Monroe County for the performance of water quality monitoring services to update the FRAD (Task 1). This DEP Grant Agreement (Agreement Number MN008) includes Monroe County funds via a cost-share to support Task 1. The Agreement between COUNTY and UNIVERSITY in turn provides the funding to UNIVERSITY to perform Task 1; and WHEREAS, the parties now desire to amend the Agreement pursuant to the terms and conditions as set forth herein to include a task (Task 2) to measure the effects that canal water quality may have on near shore waters quality; and WHEREAS, Monroe County will provide funding for the performance of Canal Monitoring services (Task 2). NOW THEREFORE,in consideration of the mutual promises and covenants contained herein, it is agreed as follows: 1. Section 2: SCOPE OF THE WORK is hereby revised to include the Task 2 as reflected in the attached Exhibit A-1. 2. Section 3: CONTRACT AMOUNT is hereby revised to include additional funding to support Task 2. The COUNTY shall pay the UNIVERSITY an additional amount not to exceed Four Hundred and Ninety-Seven Thousand Two Hundred Eleven Dollars ($497,211.00) as reflected in the attached budget at Exhibit C-1. The funds for this increase are Monroe County funds. The total amount to be paid to UNIVERSITY for the work performed under this contract shall not exceed Eight Hundred and Fifty-Seven Thousand Nine Hundred and Twenty-Nine Dollars($857,929.00). 3. Section 5: TERM OF AGREEMENT is hereby revised to extend to October 15,2021.The revised Agreement term is August 15, 2018 through October 15, 202 1 for work performed under Task 2. 4. Except as expressly provided in this Amendment, all other terms, conditions and provisions of the Agreement shall apply and remain in full force and effect. SIGNATURE OF THE PERSON EXECUTING THE DOCUMENT MUST BE NOTARIZED +► r,; •,,, . •TNESSED BY ANOTHER OFFICER OF THE ENTITY. '° iR MONROE COUNTY BOARD OF � COUNTY COMMISSIONERS e.r r a / '':= 4 ',` its / / By. De uty Clerk Mayor Sylvia Murphy • Date 21, Z°'t et - 4 L F.-(SEAL) C sn,., rr~, a' UNIVERSITY OF MIAMia1 rNaw o Attest: � �� � � m By: By: )470, ''S $' r- "� "' . `� o c, Print Name:a,4,$ AVm. ficcet,Ad Print Name: Barbara A.COIe N -- 1 !^ Associate Vice President for Iles erdi AdnnYlistra6or Title:Jcc f•Coutivo fit au ACWaAt Q fo - Title: Date: 51 t 1/q Date: 674. /f STATE OF FLORIDA COUNTY OF On this (pdi day of AA 1 . , 20 icy before me ,the undersigned notary public, personally appeared MA.k?LAILA A. o eknown to me to be the person whose name is subscribed above or who produced A s identification, and acknowledged that he/she is the person who executed .he a ve contract with Monroe County for the purposes therein contained. �1v 1<OV (---- NotaryPublic EUSAE.RANGEL _•' "''�`: �nIIGG230842 a. ''Al 41 October 11 2022 7p1� Print Name e •.'� :�° BandedihuTroYF harana80 -OE Ce '4 ORNEY My commission expires: ea •/ p0 D - 'rf) P D'OJ.ME: A ' -•0 TY :TTeRNEY Date EXHIBIT A-1 AMENDMENT TASK 2—SCOPE OF WORK: Residential Canal WQ Impacts on Near Shore Environs A summary of the overall costs are: TASK 2:Residential YEAR 1 YEAR 2 YEAR 3 YEAR 4 Not to Exceed total Canal WQ impacts on 2019 2020 2021 (6/1/21- Near Shore Environs 10/15/21) WQ, BENTHIC SAMPLING, and $0 $279,103 $200,933 $17,175 $497,211 EXTREME EVENT PROJECT OVERVIEW AND RATIONALE As a separate effort under Task 1, Monroe County contracted with the University of Miami Coastal Ecology Laboratory to carry out nearshore water quality monitoring at 65 stations throughout the Keys. in a partnership with the Florida Department of Environmental Protection (FDEP). The scale of watersheds makes interrelationships between the hydrological cycle, plant diversity and natural communities easily perturbed by land-use changes on small islands. Patterns of human development in the Florida Keys have had immense impacts on ecosystem function, and have historically accelerated the amount of freshwater and nitrogen entering the hydrological cycle. Some of these trends have been reversed recently with restoration and remediation efforts. Small islands allow nutrients and sediment to enter near shore waters through groundwater seepage and surface storm run-off(Aronson et al., 2003). Tropical carbonate islands such as the Florida Keys once relied on dense broadleaf forests and mangrove wetlands to restrict nutrient input to marine environments, supporting clear turquoise waters indicative of oligotrophic conditions. The Florida Keys now has about 500 dredged canals of varying depths, lengths, and orientations. Canals can trap organic material, including seaweed and seagrass, which accumulates and contributes to poor water quality with the accumulation of nutrients. Poor design and circulation in canals have been addressed in the past through a series of demonstration projects to remediate this problem through back-filling, adding culverts, or adding seaweed curtains. Universal wastewater treatment has been implemented throughout the Florida Keys, removing cesspits and septic systems as a source of land-based sources of nutrients. However, the legacy of the past rests at the bottom of dredged canals ("Eutrophication in coastal canals," 1972). Nearshore marine communities are the downstream recipients of freshwater and nutrients from island hydrological cycles. Changes in island hydrology have potential repercussions for near shore habitats as they have been the most acutely impacted by eutrophication with the extirpation of invertebrate species and dramatic changes in the ecological community composition (De Carlo, Hoover, Hoover, Young, & Mackenzie, 2007; Lapointe & Matzie, 1996; Wagner, Mielbrecht, & van Woesik, 2008; Wolanski, Martinez, &Richmond, 2009). The question to be addressed in this scope of work ("Task 2") is, "Do canals in the Florida Keys contribute to nearshore water quality degradation?"The scope of work over two years should provide a "Yes", or "No" answer to this question with supporting data and analyses. The challenge is to design an efficient and cost-effective plan to understand any "halo" effect of nutrients from canals moving into adjacent nearshore environments. Task 2 aims to address this question broadly by looking at 9 canals throughout the Florida Keys and comparing canal assessment to underdeveloped shorelines("non-canals")primarily in parks and protected • areas. The operation premise in FKRAD assessments is that Task 1 water quality stations located 500 meters from shore are at the limit of land-based sources of pollution (e.g. from run-off and canals), and thus represent an assessment of regional (vs. local) influences on nutrient loading. Task 2 will examine the "gap" from the canals to the 500 m Task 1 stations by sampling across a randomized block design of the shoreline to 500 m offshore gradient. Task 2 is a "stand-alone" project designed to specifically address the question of residential canal contributions to nearshore water quality. This study will address the potential contributions of local vs. regional factors in degradation of near shore water quality after the compliance Keys-wide of advanced waste water treatment(Figure 1). Figure 1: Timetable of the major policies and reports that impact Florida Keys wastewater transmission and treatment (Barreras, Kelly, Kumarb, &Solo-Gabriele, 2019). 1970's Cesspits are the major method of wastewater treatment and disposal 1 >1970 Beginning in the 1970s,on-site wastewater treatment systems(OWTS) began to appear in the Keys 1 1991-1995 In 1991 -1995 Monroe County adopted its Comprehensive Plan pursuant to rule 28-20 of the Florida Administrative Code (FA.C_) "Work Program" to promote wastewater facilities to meet advanced wastewater treatment (AWT) or best available technology (BAT)standards to reduce nutrient loading to nearshore waters 2 1997 The Florida Legislature sets Advanced Wastewater Treatment (AWT) effluent standards 3 1999 Monroe County re-instates cesspool identification and elimination program 3 2000 Chapter 2010-205 requires Monroe County, each municipality, and those special districts responsible for wastewater treatment to complete the projects detailed in the Wastewater Master Plan (2000)4 2005 November 2005, The Village of Islamorada Wastewater Management Master Plan is implemented 5 2010 The new treatment plant at Key Largo went into operation in 2010 and is designed to meet Florida's advanced water treatment (AWT) requirements 6 2013 The 2013 State Budget included $50 M for Keys Wastewater projects ° 2015 The Florida legislature established a deadline of December 31, 2015 for all septic tanks,cesspits, private package plants, and central sewer systems within the Florida Keys to meet advanced wastewater treatment standards 7 TASK 2 DESCRIPTION: RESIDENTIAL CANAL IMPACTS ON NEARSHORE WATER QUALITY CANAL WATER QUALITY STUDY: The Task 2 is designed to answer specific questions relating to the impact of residential canals on the near shore water quality of the Florida Keys, regardless of canal design, size and orientation. The questions to be answered include: 1. Is there a difference in water quality between nearshore waters adjacent to canals, and nearshore waters not adjacent to canals, and does the distance from shore (zone) have an effect (up to the 500m distance from shore)? 2. Is there a difference in the number of and diversity within marine habitat types (e.g. CMECS biotopes 1)between canal and non-canal nearshore environments, and does the distance from shore (zone) have an effect (up to the 500m distance from shore)? 3. Is there a difference in the epifauna community composition and diversity between canal and non- canal nearshore waters, does the distance from shore matter, and how does the epifauna composition and diversity compare to a reference expectation? A STANDARD QUALITY ASSURANCE PLAN (QAPP) DOCUMENT will be submitted as per the FDEP protocols and reviews for this task. The task will include the collection of water quality and benthic data; all water quality data collected for this contract will need to be uploaded quarterly by the contractor into the Department's Watershed Information Network (WIN) database. This task will sample surface water quality on a quarterly basis in 9 residential canals and in 4"non-canal" sites throughout the Florida Keys, collecting up to 15 samples per site for each quarter. Biotic sampling will occur twice a year (wet season/ dry season) at all the water quality sampling stations to document biological diversity and natural community classification in and around the canal environs. In addition, surface water samples will be collected at some stations up to 48 hours after an extreme rainfall or storm event to document event impacts2, up to 187 additional water quality samples in one year. TASK OVERVIEW: Start Date: 1 May 2019 End Date: 15 October 2021 Number of Sites = 13 • 9 canal sites • 4 non-canal sites Number of Site Water Quality Samples: • 9 canal sites with 15 samples per canal block array • 4 non-canal sites with 13 samples per non-canal block array (no samples taken inside canals) Coastal and Marine Ecological Classification Standard (CMECS), see https://iocm.noaa.gov/cmecs/ 2 Extreme events can be defined by a specific meteorological trigger,for example,over 2" of rainfall in on 24 hour period is extremely rare,and has occurred only twice in Key West over the past 10 year(apart from direct hurricane impacts). TOTAL WATER QYUALITY SAMPLES per QUARTER= 15*9= 135 (canal samples)+4* 13 =53 (non-canal samples) = 187 ONE EXTREME RAINFALL EVENT SAMPLING =up to 187 samples (optional) Estimated total number of Canal Monitoring Water Samples per year: 748 to 935 samples (187 stations sampled 4 times each calendar year, plus an optional extreme event sampling). Biodiversity Assessment=All 13 sites surveyed twice annually,Biological Assessments will be carried out at the same sites, with 6 stations within sites sampled twice a year (84 * 2 = 168 benthic surveys annually). Benthic stations are a subset of the water quality stations. Task 2 will: 1. Perform comprehensive water quality nutrient data monitoring of 13 sites with block design sampling to support the County's canal program to determine the connection and impact of canals on the nearshore waters with quarterly sampling, 2. Report and upload to Florida's Watershed Information Network (WIN) the water quality data collected, 3. Perform an ecological survey of benthos along the same 13 sites with bloc design sampling to determine the response of biotic communities to water quality with sampling twice a year(wet season/ dry season), and 4. Perform comprehensive nutrient data monitoring at water quality stations after an extreme rainfall event for up to 187 stations in a calendar year. Task 2a: Water Quality Block Design Description Sampling Area Design Water samples will be collected in a "block design," using stratified random sampling of a series of stations that exist within a total sampling area that extends 500 meters out from the mouth of the canal and 100 meters parallel to the shoreline in both directions. This will result in a 500 m X 200 m area which will be divided into 50 m X 50 m blocks.The sampling area is divided into 40 blocks.The overall sampling area will be divided into three zones which will extend perpendicular from the shoreline. Zone 1 will extend from the mouth of the canal to 100 m from shore. Zone 2 will extend from the edge of Zone 1 out another 200 m from shore and Zone 3 will extend from the edge of Zone 2 out an additional 200 m (to 500 m from shore). See Figure 2 below for an example of sample area design in Key Largo N Legend ASample Area Zone aritittaai 11 r. J 3 -� ( iwr.� .. . y lw i 5;ire MI .111111111.1111.. o� Aker 3o,a'w!Mi,M1.)1j.%&En;o..A�t4f4""*.sr(3*"*`"Dt�R,•:iNRTS' p ,_..� y� fiON.+dV1 Ui96�i l�yrti%m'a�M Figure 2: Illustration of the block design to sample water quality from inshore to offshore from canal openings in the Florida Keys. A grid will be established in GIS that will extend 200 meters perpendicular to the mouth of the canal, and 500 meters offshore. Sampling Area Design Block sampling will be completed in two types of areas: canals (N=9) and restored or intact coastlines (N=4)to allow for comparison between the canal and "non-canal" environs. The annual monitoring will consist of an estimated 187 samples per quarter divided across 13 study sites with up to 15 samples per site per quarter; using the following distribution(See Figure 3): A. 1 sample from the midpoint of the canal B. 1 sample from the mouth of the canal C. 2 samples from the offshore corners of the sampling area(100 m parallel to the mouth of canal, 500 meters perpendicular to the mouth of canal) D. 2 samples from the inshore corners of the sampling area(100 m parallel to mouth of canal, as far in shore as is accessible by sampling vessel) E. 3 samples from randomly selected blocks in Zone 1 F. 3 samples from randomly selected blocks in Zone 2 G. 3 samples from randomly selected blocks in Zone 3 Non-canal sites will have 13 stations, lacking the 2 stations at the midpoint and mouth of the canal. N Legend ASample Locations © A ' ice • 8 • c , - i_ . ' I O D f g 4.L ' Sample Area . t;-{+0 G /1/2y i Zone O EL . e x '- . I _o MIV 't 9 ,,, ' .a 1 1.11 ._"a . er1 v.— 0 50 ,o, 200 Meters 1. fr • nirvix!rs rnrt,tra#t mow.»,na,'"44 ' n6nbx:4"6:�df �+ Lrs p M�'�•. ivM.�,nrl Um s9,:,k5r ey+xrq,'ti,*1 A`^ Figure 3: Blocks will be selected randomly for each quarterly sampling event, with a total of three samples taken in each zone. Sample locations A-G correspond to the list above. The sample locations will require a boat for accessibility and three staff per sampling team. The sampling guidelines are as follows: a. Collect samples only on outgoing tides, while water is leaving the canal. b. Ensure wind is not impeding water from flowing out of the canal,with collection of samples at mid-depth if wind is an issue. Interpolation of data The data from the 15 samples will be interpolated to create a raster surface to estimate the water quality parameters across the entire sampling area using a spline interpolation and a grid size of 5 meters. See Figure 4 for example of interpolated data surface. Table 1 includes a list of water quality parameters which will be assessed at each sampling station within the sampling area. Table 1: List of water quality parameters to be assessed at each station Parameter Sample Type Description Analytic IJlethod t1UL NO, Water Grab Nitrite+Nitrate in aqueous EPA 353.2 Rev. 2.0 0.05-10.0 matrices as mg/L as N mg/L TP Water Grab Total Phosphorus in aqueous EPA 365.1 Rev. 2.0 0.01-1.0 mg/L matrices as mg/L as P TKN Water Grab Total Kjeldahl Nitrogen in EPA 351.2 Rev.2.0 0.08 mg/L aqueous matrices as mg/L as N Chlorophyll a Water Grab Phytoplankton chlorophyll-a SM 10200 H (mod.)) < 1.0 ug/1. (corrected for phaeophytin)and phaeophytin by spectrophotometry Dissolved Field Dissolved oxygen (DO) Discrete Measurement Not applicable Oxygen Measurement concentration in water measured field meter Percent DO Field Percent DO saturation in v4ater Discrete Measurement Not applicable Saturation ( Measurement measured by field meter pH i Field pH level in water measured by Discrete Measurement Not applicable Measurement field meter Specific Field Specific conductance of water Discrete Measurement i Not applicable Conductance Measurement measured by field meter Water Field Water temperature measured by f Temperature Measurement field meter Discrete Measurement Not applicable A list of the selected canal and non-canal sites is presented in Table 2,with a map illustrating the distribution of these sites throughout the Florida Keys in Figure 5 IN /1 igga Legend Sample Points Values y'` I t 1 t: ; • 0.0.15 •y ` 'r ssF • 0.16-029 f� I'd-. Oh x•y • 0.30-0.43 - 1 • 0.M.0.57 • 0.53-0.71 - f V.44 • 0.72-0.55 • 086-1.00 • ~ 0 t • Value ' MI Low o AAA. :111 50 100 200 Meters 1 1 1 1 1 1 1 1 1 rls Figure 4: Examples of values for a parameter that has a maximum value of 1 and a minimum value of 0 (Top) and that dataset's corresponding interpolated surface (Bottom). Table 2: List of 13 block array sites for Task 2. Listed coordinates use the WGS 1984 datum. All points are shown in Figure 5 to illustrate the distribution of sites throughout the Keys. Latitude r Longitude WBID MEU_1Side Type r Municipaii_Location_Name 24.67701319 -81.33795528 8075 04N Bay Task 2-Canals 293 BIG PINE KEY 24.67715182 -81.38351516 6013C 04N Bay Task 2-Canals 292 LITTLE TORCH KEY 24.65630897 -81.2652673 8080 04S Ocean Task 2-Intact/Restored Bahia Honda 24.57349531 -81.65383574 8079 02S Ocean Task 2-Canals 475 GEIGER KEY 24.78404017 -80.88589007 8083 07S Ocean Task 2-Canals 164 CONCH KEY ADDED 3 24.73734503 -80.97775815 8082 06S Ocean Task 2-Intact/Restored Marathon Curry Hammock 24.69872224 -81.07367209 8081 055 Ocean Task 2-Canals Marathon 257 MARATHON 25.33080618 -80.28597741 6001C 10N Bay Task 2-Canals 3 OCEAN REEF CLUB 25.16467265 -80.39012985 6006A 09N Bay Task 2-Canals 28 KEY LARGO 24.91219746 -80.70162674 8078 08N Bay Task 2-Intact/Restored Lignumvitae Key 24.85528835 -80.74503426 8078 08N Bay Task 2-Canals Islamorada 155 LOWER MATECUMBE KEY 25.17594528 -80.35268583 8087 10S Ocean Task 2-Intact/Restored Dagny Johnson 25.04082266 -80.4847034 8086 09S Ocean Task 2-Canals 84 ROCK HARBOR Task 2b: Ecological (Biotic) Sampling responding to water quality The benthic community maps will be used to determine a priori what benthic substrate and biota should be throughout the block array. In the field, the blocks will be evaluated for the diversity of marine plants and invertebrates to determine patterns from inshore to offshore, associated with specific biotopes (Nero, 2005). Surveyors will conduct biodiversity assessments at the water quality sampling points throughout the block array to understand the response of benthic communities to water quality. Understanding the relationship between species diversity and environmental/ecological properties is crucial to evaluating and predicting ecosystem response to changes in water quality. Various studies have focused on Biodiversity Ecosystem Functions (BEF) by utilizing different measures of ecosystem function, such as biomass production and nutrient cycling (Tilman & Downing, 1994), (Naeem, Thompson, Lawler, Lawton, & Woodfin, 1994). During the last decades,there has been increased evidence that biodiversity is strongly linked to increased stability of the ecosystem functions and enhanced Ecosystem Functions which in turn, are linked to ecosystem services (Figure 6) (Cardinale et al., 2012). Therefore, invertebrate and algae biodiversity can be used as an indicator of Ecosystem Function (and thus Ecosystem Services) for the Florida Keys canals and nearshore marine ecosystems. In Task 2b, 13 sites including canals and "non-canal" sampling grids will be surveyed twice a year (wet season and dry season surveys). Within each site, a subset of the water sampling points will be surveyed, each survey point will be classified by habitat and zones. The monitoring will consist of 9 canal and 4 non-canal sites with benthic sampling carried out using the following sampling distribution,these stations are a subset of the water quality stations described in 2a: A. 2 stations in Zone 1 B. 2 stations in Zone 2 C. 2 stations in Zone 3 The ecological surveys will focus on the conspicuous benthos and will have two components: • Submerged Aquatic Vegetation(SAV)coverage,that will be assessed through the Braun-Blanquet method consistent with previous studies (Collado-Vides, Caccia, Boyer, & Fourqurean, 2007; Fourqurean, Durako, Hall, & Hefty, 2002; Trevathan-Tackett, Lauer, Loucks, Rossi, & Ross, 2013), and • Invertebrate epifauna species assemblages that will be assessed through the point intercept method. The surveys will be carried out using a 25m transect line along with 6 quadrats (per method) placed at random locations on the transect line within each block. Therefore,there will be an overall of 6 quadrats*2 blocks/zone*3 zones=36 quadrats per site and per method. Quadrats will be photographed to review species identification and field data entry. Species will be identified using a checklist of common and charismatic species (Appendix 1 lists invertebrates and Appendix 2 lists marine plants). The two components are: 1. A Braun-Blanquet assessment (Kent, 2012) of substrate and algae coverage. For each of the following categories, coverage will be assessed in a .5 x.5 m quadrat (.25 m2) as listed in Table 3. Categories include: a. Bare sand or mud b. Benthic macro algae and algal turf c. Seagrass 2. A point intercept method to quantify epifauna categories in a 0.5*0.5m intercept quadrat Species richness and benthic diversity will be assessed within each site. Categories will include: a. Sponges b. Hard corals c. Soft corals and anemones d. Echinoderms e. Mollusks f. Annelids A complete list of the species that will be recorded was developed from historical records and research publications (Appendix 1). The Braun-Blanquet coverage of seagrass will allow comparison of seagrass density performed on previous surveys used to assess seagrass health in Florida Bay(Trevathan-Tackett, Lauer, Loucks, Rossi, & Ross, 2013). The focus of the surveys will be epifauna and will not include infauna surveys. Water quality measurements will include turbidity assessments,but PAR measurements will also be made with the Hobo Pendants. Invertebrate biodiversity will be assessed in terms of evenness and species richness;species assemblages will be compared between the sites and over time as per methods in Sullivan & Chiappone, 1992. Table 3: Scoring to be used for Braun-Blanquet surveys; r = rare species that occur along transect but not in quadrats, + =present but less than 5%of the quadrat coverage. Bra un-Blanquet scale Range of cover <5%;very few individuals + <5%;few individuals 1 < 5%;numerous individuals 2 5-25% 3 25-50% 4 50-75% 5 75—100% Data will be grouped together according to the distance from the canal and analyses will be made accordingly. For the species assemblages, an MDS and cluster analysis will be conducted to visualize the similarities between blocks from the shore out to 500 m. The purpose of the Biological Assessment will be to assess the levels and composition of species diversity and link these results with Ecological Functions of the ecosystem. The biodiversity assessment should provide additional support to the conclusions drawn from the water quality sampling. Specifically, the sampling design will address the following questions, la "Is there a difference in water quality between canals and non-canal sites? lb. Is there a difference in WQ between different zones/habitats within the different sites? Practically, does distance from "source" (Le. canal) matter? 2a. Is there a difference in biodiversity between canals and non-canal sites? 2b. Is there a difference in biodiversity between different zones/habitats within the different sites? Practically, does distance from "source" matter? 3. Do biodiversity patterns align with WQ patterns? For this purpose, several univariate and multivariate analysis will be conducted in order to investigate for statistical significance and correlation patterns correspondingly. For first questions, data will be grouped by sites (i.e. canals vs non-canals) and the mean of each measurement (TN, TP, TKN, Chia) will be calculated. The set of differences when subtracting non-canal from canal values will then be bootstrapped and the mean value and the 95% Confidence interval will be estimated. This way we could identify any statistically significant differences in WQ between canals vs non-canal sites. The data can also be grouped by the time of the year collected and can be analyzed separately to ensure that we capture any seasonal variability (i.e. separate analysis for each quarter). In addition to this, a multivariate analysis will be conducted to visualize any temporal or spatial pattern of the WQ data. An nMDS and a Cluster analysis will be conducted using data for each measurement separately. For question lb, data will be grouped by either zone or habitat and analyzed accordingly. The same set of analysis will be used, by utilizing the mean measurements of each zone/habitat. Therefore, the bootstrap technique will be used by estimating the differences between different zones in pairs (e.g. zone 1- zone 2 or zone 2- zone 3). Following the same reasoning, biodiversity measurements (questions 2a and 2b) will also be analyzed using the bootstrap technique and NMDS and Cluster analysis. In this case, biodiversity measurements will be further grouped by category (hard corals, soft corals etc.). Regarding question 3, the nMDS and Cluster plots derived from questions 1 and 2 will be compared and any overlaying patterns will be identified. In addition, the results from all the statistical tests will also be compared. For example, using the statistical outcomes form questions 1 a and 2a, we could observe whether significance is present when with the same pattern (i.e. if we find significant differences in WQ between canals vs non-canal sites, we should also find significance in the corresponding biodiversity). Extreme Event Sampling: If there is an extreme rainfall event, the team will be ready to mobilize to sample some or all of the canal grids within 48 hours of the event to understand the role of acute water quality changes with storm events. This "extreme event" sampling would occur when a pre-determined meteorological trigger is reached in terms of defined precipitation indices (Table 4)3. One extreme event sampling event would be carried out once each calendar year depending on the occurrence of such events. Precipitation indices that are used to define extreme rainfall events are likely calculated after the fact, and consultation with meteorologists can help define the specific triggers that would justify an extreme event sampling in the Upper, Middle or Lower Keys. The triggers will likely be unique to each region of the Florida Keys Table 4: Definition of the precipitation indices used to define extreme rainfall events. Precipitation Index with definitions and units: PRCPTOT Annual precipitation Annual total precipitation mm SDII Simple daily intensity index Annual precipitation divided by number of wet days mm/day CDD Consecutive dry days Maximum number of consecutive dry days days CWD Consecutive wet days Maximum number of consecutive wet days days Rl0mm Days above 10mm Annual count of days when RR>l0mm days R2Omm Days above 20mm Annual count of days when RR>20mm days R50mm Days above 50mm Annual count of days when RR>50mm days RX1day Max 1-day precipitation Annual highest daily precipitation mm RX5day Max 5-days precipitation Annual highest 5 consecutive days precipitation mm R95p Very wet days Annual total precipitation when RR>95th percentile mm 3 Extreme rainfall events are defined as 5 standard deviation threshold from monthly means, and represent values that are very rare and typically only exceeded in the case of a direct impact of tropical cyclone or cold front. • Legend Task 2 Locations Task 2-Canal O Task 2-Intact/Restored 3 OCEANdEF CLUB • � e* A ,r Dagny Johnson • 28'KEY LARGO • ,4084 ROCK HARBOR Lignumvitae Key • 155 LOWER MATECUMBE KEY 164 CONCH KEY ADDED 3 Curry Hammock • 292 LITTLE TORCH KEY 293 BIG PINE KEY i5TMARATHON •Bahia Honda • 4ig GEIGER KEY ctn.:.a 0246810 20 30 40 Kilometers Irr,tif��,�tir�,4ti��,�y , Itl 012345 10 15 20 Miles i n co A con n r�rsx it . ..,. k§,1 and lira tA..; a.;xuuJnR/ Figure 5:Map of all 13 site locations for Task 2. Red points are canal sites (N=9); Yellow points are non-canal coastal sites (N=4). Link functions to services' 41164.1 • �PY pj7 T+� M sy . � ; 40% . , _-,1,1,..it -' -_- ... .... Ecosystem function .w. (resource capture, Expand our focus biomass production, decomposition, nutrient ,, «. recycling) Oilift , U _ __ X _ .. P , . 1 Biological diversity (variation in genes, species, I ` i I , / functional traits) t. l .. Improve predictions J Figure 6:Assessment of components of biological diversity, especially SAV(submerged aquatic vegetation) and benthic epifauna invertebrates can be key to understanding the history of water quality in nearshore communities. Changes in species assemblages can be modeled to better understand trends in water quality (Cardinale et al., 2012) APPENDIX 1: Preliminary invertebrate epifauna species list for near shore benthic communities of the Florida Keys TAXA Binomial Common Name/Description CNIDARIA Actinoporus elegans Elegant anemone CNIDARIA Agalophenia latecarinata feather plume hydroid CNIDARIA Agaricia spp lettuce corals CNIDARIA Bartholomea annulata ringed anemone CNIDARIA Briareum asbestinum corky sea finger CNIDARIA Cassiopea xamachana mangrove upsidedown jelly CNIDARIA Condylactis gigantea giant pink tipped anemone . CNIDARIA Dichocoenia stokesi elliptical star coral CNIDARIA Diploria clivosa knobby brain coral CNIDARIA Diploria labyrinthiformis grooved brain coral CNIDARIA Diploria strigosa symmetrical brain coral CNIDARIA Discosoma spp unknown corallimorph CNIDARIA Erythropodium caribaeorum encrusting gorgonian CNIDARIA Eunicea spp knobby sea rods, candelabra CNIDARIA Eusmilia fastigiata smooth flower coral CNIDARIA Favia fragum golf ball coral CNIDARIA Halocordyle disticha christmas tree hydroid CNIDARIA Lebrunia coralligens Hidden anemone CNIDARIA Lebrunia danae branching cryptic anemone CNIDARIA Manicina areolata rose coral CNIDARIA Meandrina meandrites maze coral CNIDARIA Millepora alcicornis branching/encrusting fire coral CNIDARIA Millepora complanata Blade fire coral CNIDARIA Obicella (Montastaea) spp All reef-building Montastraea CNIDARIA Palythoa caribaeorum white encrusting zoanthid CNIDARIA Phymanthus crucifer beaded or flower anemone CNIDARIA Plexaura homomalla black sea rod CNIDARIA Plexaura spp Unknown sea rod CNIDARIA Plexaurella spp slip pore sea rods CNIDARIA Porites asteroides mustard hill coral CNIDARIA Porites porites clubtip finger coral CNIDARIA Porites divaricata thin finger coral CNIDARIA Pseudoplexuana spp Porous sea rods CNIDARIA Pseudopterogorgia spp. rough sea plume CNIDARIA Siderastrea radians lesser starlet coral CNIDARIA Stephanocoenia intersepta blushing star coral CNIDARIA Stichodactyla helianthus sun anemone PORIFERA Amphimedon compressa red finger sponge (formerly H, rubens) PORIFERA Aplysina sp. Unknown Aplysina PORIFERA Callyspongia vaginallis branching vase sponge, grey-purple tube PORIFERA Chondrilla caribensis(nucula) chicken liver sponge PORIFERA Cinachyra sp. dusty orange ball sponge 16 PORIFERA Cliona (Anthosigmella) varians (brown) variable sponge PORIFERA Cliona delitrix orange boring sponge PORIFERA Cliona langae coral encrusting sponge NOW C.apria PORIFERA Cliona sp. green velvel encrusting C. caribbaea PORIFERA Dysidea etheria heavenly sponge PORIFERA Ectyoplasia ferox orange volcano sponge PORIFERA Haliclona sp. PORIFERA Haliclona viridis small green tubes PORIFERA Ircinia felix' stinker sponge PORIFERA Spheciospongia vesparium Florida loggerhead sponge PORIFERA Tedania ignis fire sponge, organge color Annelida Anamobaea orstedii Split-Crown Feather Duster Annelida Arenicola cristata Southern Lugworm Annelida Bispira brunnea Social Feather Duster Annelida Bispira variegata Variegated Feather Duster Annelida Eupolymnia crassicornis Spaghetti Worm Annelida Hermodice carunculata Bearded Fireworm Annelida Notaulax nudicollis Brown Fanworm Annelida Notaulax occidentalis Yellow Fanworm Annelida Sabellastarte magnifica Magnificent Feather Duster Annelida Spirobranchus giganteus Christmas Tree Worm Annelida Spirorbis spirorbis Seagrass epiphyte Chordata Ascidia nigra Black Solitary Tunicate Chordata Botrylloides nigrum Flat Tunicate Chordata Botryllus sp. Geometric Encrusting Tunicates Chordata Clavelina sp. Bulb Tunicates Chordata Diplosoma glandulosum Globular Encrusting Tunicate Chordata Distaplia corolla Button Tunicates Chordata Ecteinascidia turbinata Mangrove Tunicate Chordata Polyandrocarpa tumida Mottled Social Tunicate Chordata Polycarpa spongiabilis Giant Tunicate Chordata Rhopalaea abdominalis Reef Tunicate Chordata Symplegma viride Encrusting Social Tunicate Chordata Trididemum solidum Overgrowing Mat Tunicate Arthropoda Callinectes sp. Blue Crabs Arthropoda Paguristes erythrops Red Banded Hermit Arthropoda Pagurus sp. Hermit Crab Arthropoda Panuliris argus Caribbean Spiny Lobster Arthropoda Petrochirus diogenes Giant Hermit Echinodermata Astropecten spp Sea Stars Echinodermata Clypeaster roseaceus inflated sea biscuit Echinodermata Diadema antillarium Echinodermata Echinaster echinoporous thorny starfish Echinodermata Echinometra lucunter rock-boring urchin 17 Echinodermata Echinometra viridis reef urchin Echinodermata Eucidaris tribuloides slate-pencil urchin Echinodermata Holothuria spp. Sea Cucumber Echinodermata Isostichopus badionotus Three-Rowed Sea Cucumber Echinodermata Linckia guildingii common comet star Echinodermata Lytechinus variegatus Variegated Urchin Echinodermata Tripneustes ventricosus sea egg Mollusca Atrina rigida Stiff Pen Shell Mollusca Cyphoma spp. Flamingo tongue Mollusca Eustrombus gigas Queen conch Mollusca Fasciolaria tulipa True Tulip Mollusca Lima scabra Rough Fileclam Mollusca Octopus vulgaris Common Octopus Mollusca Phalium granulatum Scotch Bonnet Mollusca Pickfordiateuthis pulchella Grass Squid Mollusca Pinna carnea Amber Penshell Mollusca Sepioteuthis sepiodea Caribbean Reef Squid 18 APPENDIX 2: List of Marine Plants to be scored in benthic surveys. Species are grouped by Green, Brown and Red macro algae, conspicuous cyanobacteria and sea grasses. Numbers following the species are from the Caribbean Marine Plants Key(Littler& Littler, 2000). MARINE PLANT SPECIES LIST Littler& Littler Key Acetabularia spp. 442 Anadyomene saldenhae 310 Anadyomene stellata 310 Avrainvillea spp. 382 Batophora oerstedii 436 Bryopsis hypnoides 342 Bryopsis pennata 342 Bryopsis plumosa 344 Bryopsis ramniosa 344 Caulerpa cupressoides 360 Caulerpa macrophysa 362 Caulerpa mexicana 364 Caulerpa paspaloides 366 Caulerpa prolifera 368 Caulerpa pusilla 368 Caulerpa racemosa 370 Caulerpa serrulata 372 Caulerpa sertularoides 374 Caulerpa taxifolia 376 Caulerpa verticillata 376 Caulerpa vickersiae 378 Caulerpa webbiana 378 Chaetomorpha gracilis 318 Chaetomorpha linum 318 Cladophora catenata 320 Cladophora sp. 320 Codium repens 354 Dasycladus vermicularis 436 Derbesia sp. 346 Dictyosphaeria cavernosa 332 Enteromorpha spp Halimeda discoidea 400 Halimeda incrassata 402 Halimeda lacrimosa 404 Halimeda monile 404 Halimeda opuntia 406 Halimeda scabra 406 Halimeda tuna 408 Haliphilia decipiens 480 Microdictyon marinum 312 Neomeris annulata 438 Penicillus capitatus 410 19 Penicillus dumetosus 410 Penicillus lamourouxii 412 Penicillus pyriformis 412 Rhipocephalus phoenix 418 Udotea spp, 422 Ulva lactuca 306 Valonia macrophysa 340 Ventricaria ventricosa 336 Cystoseira myrica 280 Dictyopteris spp 254 Dictyota spp 487 Dictyota caribaea 260 Lobophora variegata 268,270 Padina spp 272 Sargassum spp 280 Stypopodium zonale 278 Turbinaria turbinata 290 Acanthophora spicifera 192 Amphiroa spp 20 Bostrychia spp 194 Centroceras spp. 144 Ceramium sp. t; 146 Chondria capillaris 198 Chondria littoralis 204 Chondria polyrhiza 204 Coelothrix irregularis 136 Dasya spp 170 Dasya ocellata 174 Digenea simplex `;; 204 Eucheuma isiforme ,Ns 94 Galaxaura comans 58 Galaxaura obtusata 60 Galaxaura sp. 58 Gelidiella acerosa 46 Gracilaria blodgetti 110 Gracilaria brevizonatum 146 Y4.. Gracilaria cervicornis 112 Gracilaria cylindrica 114 Gracilaria damaecornis 114 Gracilaria mammillaris 117 Gracilaria sp. 110 Gracilaria tikvahiae 116 Heterosiphonia gibbeseii :` 180 Heterosiphonia crispella 180 ydrolithon boergesenii 1 28 76 ypnea spp 20 Jania adhaerens 30 Jania rubens " 33 Kallymenia sp 78 Laurencia(Chondrophycus)iridescens 216 Laurencia chondrioides 212 Laurencia gemmifera 214 Laurencia intricata 214 Laurencia sp. "�' ' 210 Liagora sp. 48 Neogoniolithon spectabile 36 Peysonellia sp. 86 Porolithon pachydermum 38 Sporolithon episporum 42 Spyridia filamentosa 164 Titanoderma spp �� `r 40 Wrangelia 166 Calothrix aeruginia 470 Dichothrix spp. Lyngbya sp. 450 Schizothrix sp. 464 Symploca hydnoides 462 Halodule beaudettei(wrightii) 484 Syringodium filiforme 484 Thalassia testudinum 482 21 REFERENCES Aronson,R.B.,Bruno,J. F.,Precht, W. F., Glynn,P. W.,Harvell, C. D., Kaufman, L., . . . Valentine,J. F. (2003). Causes of coral reef degradation. Science (New York, N.Y.), 302(5650), 1502-1504. doi:10.1126/science.302.5650.1502b Barreras, H. J., Kelly, E. A., Kumarb, N., & Solo-Gabriele, H. M. (2019). Assessment of local and regional strategies to control bacteria levels at beaches with consideration of impacts from climate change.Marine Pollution Bulletin, 138, 11. doi:10.1016/j.marpolbul.2018.10.046 Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., . . . Naeem, S. (2012). Biodiversity loss and its impact on humanity.Nature, 486, 59. doi:10.1038/nature11148 Eutrophication in coastal canals. (1972). Marine Pollution Bulletin, 3(2), 23. doi:10.1016/0025-326x(72)90207- x Group, Marine Classification Work W. (2012). Coastal and Marine Ecological Classification Standard. (0097- 6326). DataStream Content Solutions, LLC Retrieved from http://miami.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2B QMLEwMwP WDI1JaYaJScmJ 1mYmiZYpRgbApj 2wN2SUYo SywhepNHcTYmBKzRN1kHVzDXH20AWVkPEFkDMX4o 1 BU6Sg9 GYoxsCbCFr8nV cC3 iS WIsGgkGRmaJgIco2lgYFJWopFUj Kwk2GRam6RamFkAuz7AQAW 3 CTT. Kent, M. (2012). Vegetation description and data analysis : a practical approach (Second edition. ed.). Chichester, West Sussex, UK, West Sussex, UK: Wiley-Blackwell. Naeem, S., Thompson, L. J., Lawler, S. P., Lawton, J. H., & Woodfin, R. M. (1994). Declining biodiversity can alter the performance of ecosystems. Nature, 368(6473), 734-737. Nero, V. (2005). Benthic marine plant patterns in coastal environments of the Bahamas. Bahamas Journal of Science, 12(2), 14-20. Sullivan, K. M., & Chiappone, M. (1992). A Comparison of Belt Quadrat and Species Presence/Absence Sampling of Stony Coral (Scleractinia and Milleporina) and Sponges For Evaluating Species Patterning on Patch Reefs of the Central Bahamas. Bulletin of Marine Science, 50(3), 464-464. Tilman, D., & Downing, J. A. (1994). Biodiversity and stability in grasslands.Nature, 367(6461), 363. Trevathan-Tackett; S. M., Lauer, N., Loucks, K., Rossi, A. M., & Ross, C. (2013). Assessing the relationship between seagrass health and habitat quality with wasting disease prevalence in the Florida Keys. Journal of Experimental Marine Biology and Ecology, 449(C), 221-229. doi:10.1016/j.jembe.2013.10.004 Collado-Vides, L., Caccia, V. G., Boyer, J. N., & Fourqurean, J. W. (2007). Tropical seagrass-associated macroalgae distributions and trends relative to water quality. ESTUARINE COASTAL AND SHELF SCIENCE, 73(3-4), 680-694. doi:10.1016/j.ecss.2007.03.009 De Carlo, E. H., Hoover, D. J.,Hoover, R. S., Young, C. W., & Mackenzie, F. T. (2007). Impact of storm runoff from tropical watersheds on coastal water quality and productivity. Applied Geochemistry, 22(8), 1777- 1797. doi:10.1016/j.apgeochem.2007.03.034 Fourqurean, J. W., Durako, M. D., Hall, M. O., & Hefty, L. N. (2002). Seagrass distribution in south Florida: a multi-agency coordinated monitoring program. In J. W. Porter & K. G. Porter (Eds.), The Everglades, Florida Bay, and the Coral Reefs of the Florida Keys. (pp. 497-522). Boca Raton, FL: CRC Press LLC. Lapointe, B. E., &Matzie, W. R. (1996). Effects of Stormwater Nutrient Discharges on Eutrophication Processes in Nearshore Waters of the Florida Keys. Estuaries, 19(2), 422-435. doi:10.2307/1352460 Littler, D. S., & Littler, M. M. (2000). Caribbean Reef Plants. Washington, D.C.: Offshore Graphics. Trevathan-Tackett, S. M., Lauer, N., Loucks, K., Rossi, A. M., & Ross, C. (2013). Assessing the relationship between seagrass health and habitat quality with wasting disease prevalence in the Florida Keys. Journal of Experimental Marine Biology and Ecology, 449(C), 221-229. doi:10.1016/j.jembe.2013.10.004 22 Wagner, D., Mielbrecht, E., & van Woesik, R. (2008). Application of Landscape Ecology to Spatial Variance of Water-Quality Parameters Along the Florida Keys Reef Tract.Bulletin of Marine Science, 83(3), 553-553. Wolanski, E., Martinez, J. A., & Richmond, R. H. (2009). Quantifying the impact of watershed urbanization on a coral reef: Maunalua Bay, Hawaii. Estuarine, Coastal and Shelf Science, 84(2), 259-268. doi:10.1016/j.ecss.2009.06.029 23 EXHIBIT B-1 FLORIDA KEYS WATER QUALITY MONITORING SERVICES IN MONROE COUNTY, FLORIDA DELIVERABLES FOR TASK 2 Monroe County Canal Water Quality Monitoring The University of Miami will be responsible for maintaining and managing data files and field sheets/forms for all data and observations made in the field. All field forms will be filled-out completely and properly. The contractor will maintain the original forms with copies provided to Monroe County as described below. Field measurements of DO (concentration and percent saturation), pH, specific conductance, and water temperature for the surface and bottom readings will be maintained in electronic data files. Data files from field work must include all appropriate quality control and quality assurance information and metadata including geo-locational identifiers, project identifiers, and site identifiers. All data submitted in electronic format by the University of Miami to DEP must have undergone a rigorous evaluation to assess content, quality, integrity and usability. Electronic data files must be submitted either as an Excel file, a comma delimited file (.csv), a comma delimited text file (.txt), or other format approved by the Department. Each quarter,the data from the previous quarter are to be reviewed and loaded in the WIN database. A quarterly progress report will be submitted to the County that includes the following information: (a) A tabulation of the water quality samples collected at each station during the quarter including sampling dates and times for each site (b) Identify any field quality assurance problems encountered during the quarter (c) Identify any corrective actions necessary as a result of problems encountered during the quarter (d) Copies of all field data sheets\forms and notes for samples and measurements collected during the quarter (e) Technical audit reports (more info on this in Appendix 5 of grant agreement) of monitoring performed each quarter; Due: Within 30 days after first sampling event and then quarterly (within 30-days after sampling events each quarter) until sampling events completed 24 Deliverables to be provided by the University of Miami: Component 1 —QAPP • Deliverable la: Draft QAPP submitted for review; Due: Before June 15, 2019 • Deliverable lb: Final approved QAPP; Due: No later than 10 days before first sampling event • Deliverable 1 c: Technical audit reports (more info on this in Appendix 5 of grant agreement) of monitoring performed each quarter; Due: 30 November 2019 Component 2—Monitoring—2 years: July 2019 through June 2021 • Deliverable 2: A summary of the samples collected and delivered to the lab for analysis. Summary of completed monitoring activities (dates completed, sampling conducted and any not conducted and why, monitoring results along with interpretation of those results (as expected or not as expected submitted electronically), along with the draft or final laboratory report and sampling logs; Due by 31 July 2021 but updates to be submitted quarterly. Component 3 —Reporting • Deliverable 3a: Draft Final Report explaining the scientific findings; Due 1 August 2021 • Deliverable 3b: Final Report with edits incorporated, etc.; Due 15 October 2021 • Deliverable 3c: The University shall present the results to the Monroe County Board of County Commissioners. 25 EXHIBIT C-1 FLORIDA KEYS WATER QUALITY MONITORING SERVICES BUDGET WORKSHEETS BY Quarter for amended TASK 2: Water Quality in Residential Canals The University of Miami will submit invoices to Monroe County on the following dates: 1. 30 June 2019 2. 30 September 2019 3. 31 December2019 4. 31 March 2020 5. 30 June 2020 6. 30 September 2020 7. 31 December 2020 8. 31 March 2021 9. 30 June 2021 10. 15 October 2021 —END OF PROJECT N 26 Exhibit C-1 FLORIDA KEYS WATER QUALITY MONITORING SERVICES BUDGET WORKSHEETS BY Quarter and task. YEAR 2 2020 1. TASK 2 Residential Canals Water Quality Quarter 1 Quarter 2 Quarter 3 Quarter 4 INVOICE DATE: INVOICE DATE: INVOICE DATE: INVOICE DATE: 30 June 2019 30 September 2019 31 December 2019 31 March 2020 Deliverable la: Sampling events #1 " Sampling events #2 Sampling events #3 Draft QAPP submitted Deliverable 2: A Deliverable 2: A Deliverable 2: A for review summary of the samples summary of the samples summary of the samples Due: Before June 15, collected and delivered to collected and delivered to collected and delivered to 2019 the lab for the lab for the lab for analysis. Summary of analysis. Summary of analysis. Summary of Deliverable lb: completed monitoring completed monitoring completed monitoring Final QAPP submitted activities activities activities Due: 30 June 2019 Deliverable lc: Technical audit reports WIN UPLOAD DATE: WIN UPLOAD DATE: WIN UPLOAD DATE: WIN UPLOAD DATE: none 1-Nov 2019 1-Feb-2020 1-May-2020 $66,287 $66,287 $66,287 1$66,286 YEAR 3 2021 Quarter 1 Quarter 2 Quarter 3 Quarter 4 INVOICE DATE INVOICE DATE: INVOICE DATE: INVOICE DATE: 30 June 2020 30 September 2020 31 December 2020 31 March 2021 • Sampling events#4 Sampling events#5 Sampling events #6 Sampling events #7 Deliverable 2: A Deliverable 2: A Deliverable 2: A Deliverable 2: A summary of the samples summary of the samples summary of the samples summary of the samples collected and delivered to collected and delivered to collected and delivered to collected and delivered to the lab for the lab for the lab for the lab for analysis. Summary of analysis. Summary of analysis. Summary of analysis. Summary of completed monitoring completed monitoring completed monitoring completed monitoring activities activities activities activities WIN UPLOAD DATE: WIN UPLOAD DATE: WIN UPLOAD DATE: WIN UPLOAD DATE: 1 August 2020 1-November 2020 1-Feb-2021 1-May-2021 $47,721 $47,721 $47,721 $47,722 J 27 YEAR 4 2022 j Quarter 1 Quarter 2 INVOICE DATE INVOICE DATE: 30 June 2021 30 September 2021 Sampling events#8 Deliverable 3a: Deliverable 2: A Draft Final Report summary of the samples Due 1 August 2021 collected and delivered to the lab for Deliverable 3b: analysis. Summary of Final Report (with edits completed monitoring incorporated, etc.) activities Presentation to Monroe County BOCC: Due 15 October 2021 WIN UPLOAD DATE: WIN UPLOAD DATE: 1 August 2021 none $8,587.50 $32,591.50 28 . ® DATE(MM/DDAYYYY) CERTIFICATE OF LIABILITY"INSURANCE 10/15/2015 THIS CERTIFICATE IS ISSUED AS A MATTER OF INFORMATION ONLY AND CONFERS NO RIGHTS UPON THE CERTIFICATE HOLDER. 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NAME: 1560 Sawgrass Corporate Pkwy,Suite 300 (A/c No,Ext): (A/C,No): Sunrise,FL 33323 E-MAIL ADDRESS: PRODUCER CUSTOMER ID#: CN102606713—Marin-18-19 INSURER(S)AFFORDING COVERAGE NAIC# INSURED INSURER A:Liberty Mutual Insurance Company 23043 University of Miami Department of Risk Management INSURER B:Environmental Pollution Group 1320 South Dixie Highway INSURER C: Suite 1200 Miami,FL 33146-2945 INSURER D: INSURER E: INSURER F: COVERAGES CERTIFICATE NUMBER: ATL-004966023-01 REVISION NUMBER:1 THIS IS TO CERTIFY THAT THE POLICIES OF INSURANCE LISTED BELOW HAVE BEEN ISSUED TO THE INSURED NAMED ABOVE FOR THE POLICY PERIOD INDICATED. NOTWITHSTANDING ANY REQUIREMENT, TERM OR CONDITION OF ANY CONTRACT OR OTHER DOCUMENT WITH RESPECT TO WHICH THIS CERTIFICATE MAY BE ISSUED OR MAY PERTAIN, THE INSURANCE AFFORDED BY THE POLICIES DESCRIBED HEREIN IS SUBJECT TO ALL THE TERMS, EXCLUSIONS AND CONDITIONS OF SUCH POLICIES.LIMITS SHOWN MAY HAVE BEEN REDUCED BY PAID CLAIMS. INSR TR TYPE OF INSURANCE ADDL SUBR POLICY NUMBER POLICY EFF POLICY EXYY LIMITS (MMIDDlYYYY) (MMIDDIYYYY) A HULL AND MACHINERY LIUH-00113-07 09/01/2018 09/01/2019 PER SCHEDULE ON FILE X INSURED VALUE $ 4,200,000 COLLISION LIABILITY COLLISION(Ea occurrence) $ TOWERS LIABILITY TOWERS(Ea occurrence) $ A PROTECTION AND INDEMNITY LIUH-00113-07 09/01/2018 09/01/2019 PER CLUB RULES X CREW LIABILITY JONESACT X EA OCCURRENCE 1,000,000 PER VESSEL,CSL $ X. COLLISION LIABILITY COLLISION(Ea occ),CSL $ 1,000,000 X TOWERS LIABILITY TOWERS(Ea occ),CSL S 1,000,000 REMOVAL OF WI4ECK REMOVAL OF WRECK (Ea occurrence) IN REM S B POLLUTION LIABILITY 05293-14 09/01/2018 09/01/2019 EA OCCURRENCE S OPA 90 CERCLA • S NON-OPA/NON-CERCLA X Vessel Pollution 2,500,000 MARITIME EMPLOYERS LIABILITY ANY ONE PERSON g ALTERNATE EMPLOYER P Y AI N Tn ANY ONE ACCIDENT g INCLUDES CREW EMPS BY ie 4l u_1 g JONES ACT N/A _ �r DEATH ON THE HIGH SEAS DATE 5 IN REM ENDORSEMENT WAIVER WOLIN YES_-_ S _ S CERTIFICATE HOLDER CANCELLATION Monroe County,Attn:Ms.Rhonda Haag SHOULD ANY OF THE DESCRIBED POLICIES BE CANCELLED BEFORE THE Sustainability&Projects EXPIRATION DATE THEREOF,NOTICE WILL BE DELIVERED IN ACCORDANCE 102050 Overseas Highway,Ste.246 WITH THE POLICY PROVISIONS. Key Largo,FL 33037 AUTHORIZED REPRESENTATIVE of Marsh USA Inc. Manashi Mukherjee oLuars►,t Page 1 of 2 ©2012-2016 ACORD CORPORATION. All rights reserved. ACORD 31 (2016/03) The ACORD name and logo are registered marks of ACORD COVERAGES CERTIFICATE NUMBER: ATL-004966023-01 INSR TYPE OF INSURANCE NSD ADDL SWVD POLICY NUMBER UBR POLICY EFF POLICY EXP LIMITS {MMIDDIYYYY) (MMIDD/YYYY) COMMERCIAL GENERAL LIABILITY EACH OCCURRENCE $ MARINE GENERAL LIABILITY DAMAGE TO REN ED PREMISES(Ea occurrence) $ CLAIMS-MADE OCCUR - MED EXP(Any one person) $ PERSONAL&ADV INJURY $ GENERAL AGGREGATE $ GEN'L AGGREGATE LIMIT APPLIES PER: PRODUCTS-COMP l OP AGG $ POLICY jRCT LOC $ OTHER: AUTOMOBILE LIABILITY COMBINED SINGLE LIMIT ) ANY AUTO SCHEDULED BODILY INJURY (Per person) $ S OW A NED NON-UTOOWNED AUTOS ONLY AUTOS ONLY BODILY INJURY(Per accident) $ HIRED PROPERTY DAMAGE AUTOS ONLY (Per accident) WORKERS COMPENSATION ❑MUTE EMPLOYERS LIABILITY Y/N STATUTE ER ANYPROPRIETOR/PARTNER/EXECUTIVE N E.L.(Each accident) $ OFFICER/MEMBEREXCLUDED? (Mandatory in NH) E.L.DISEASE(Ea employee) $ If yes,describe under DESCRIPTION OF OPERATIONS below N/A E.L.DISEASE-POLICY LIMIT S ALTERNATE EMPLOYER $ USL&H ENDORSEMENT $ MARITIME EMPLOYERS LIABILITY $ OCSL ACT $ U.S.LONGSHORE&HARBOR WORKERS PER OTH- COMPENSATION ACT STATUTE ER ALTERNATE EMPLOYER E.L.(Each accident) $ MARITIME EMPLOYERS LIABILITY N/A E.L.DISEASE(Ea employee) S OCSL ACT E.L.DISEASE-ANN AGG S AIRCRAFT LIABILITY EACH OCCURRENCE $ OWNED AIRCRAFT AGGREGATE $ NON-OWNED AIRCRAFT $ PASSENGER LIABILITY $ A UMBRELLA/EXCESS LIAR/BUMBERSHOOT NYABOOT0001 09/01/2018 09/01/2019 EACH OCCURRENCE S 5,000,000 UMBRELLA BUMBERSHOOT AGGREGATE $ X EXCESS S CLAIMS MADE OCCUR $ DED RETENTIONS $ ENERGY CSL,ANY ONE CONTROL OF WELL/OPERATORS OCCURRENCE $ EXTRA EXPENSE (100%interest) CARE,CUSTODY AND CONTROL(CCC) ANY ONE OCCURRENCE (100%interest) OFFSHORE OIL AND GAS PROPERTY PLATFORMS VALUES AS SCHEDULED $ PIPELINES VALUES AS SCHEDULED $ $ S ONSHORE OIL AND GAS PROPERTY OIL&GAS PROPERTY VALUES AS SCHEDULED s CONTRACTORS EQUIPMENT VALUES AS SCHEDULED S S NAMED WINDSTORM CCC SFF- — N- HORE SHORE AGGREGATE S VESSEL(S): AS PER ATTACHED SCHEDULE AS DETAILED IN THE DESCRIPTION OF OPERATIONS DESCRIPTION OF OPERATIONS/LOCATIONS (ACORD 101,Additional Remarks Schedule,may he attached,if more space Is required) Other certificate holder-Monroe County'Attomey,Attn:Mr.Bob Shillinger,Post Office Box 1026,Key West,FL 33041-1026 ACORD 31 (2016/03) Page 2 of 2