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SiO2 and turbidity, and highest inorganic nitrogen concentrations. Finally, South |
Biscayne Bay, surrounded by wetlands and practically devoid of urban development in |
its watershed, has the lowest salinity and highest total nitrogen (TN), total organic |
nitrogen (TON) and total organic carbon (TOC). |
We calculated descriptive statistics and performed long-term trend exploration of |
the time-series, to gain insight into patterns of behavior along the period of record |
(POR) for all relevant biogeochemical parameters. This exploration was performed with |
Akritas-Theil Sen and Z-score cumulative sum charts (Z-CUSUM) methodologies. The |
spatial-temporal variability within estuaries and coastal waters in individual South |
Florida basins called for a holistic approach to basin segmentation to account for |
variability not only dictated by a given nutrient concentration level, but by the |
combination of stressors conditions (nutrients, water clarity, climate, weather, extreme |
events, geomorphology, circulation and exchange, management, etc.). Basin |
segmentation was accomplished with an objective classification of station combining |
Principal Component Analysis (PCA) and Hierarchical Clustering methods in tandem. |
Besides statistics, spatial extension and pattern, geomorphology, water circulation and |
benthic ecosystem distribution played a major role on the final delineation of 40 |
segments extending from Biscayne Bay in the east to Dry Tortugas in the southwest |
v |
and to Pine Island Sound in the northwest. This segmentation, or a modification of it, |
has been adopted by both, EPA and FDEP as fundamental framework for the derivation |
of numeric nutrient criteria for South Florida estuaries and coastal waters. |
Substantial changes and climate-driven regime shifts have been documented for |
water quality in South Florida. The most relevant changes we identified in Biscayne Bay |
were those occurring in the early-to-mid nineties from lower to higher precipitation rates, |
leading in turn to a generalized region-wide decline in water nutrients and chlorophyll a |
(CHL-a) concentrations (Briceño and Boyer 2010). Based upon a detailed literature |
review and a recent assessment of natural resource conditions in Biscayne Bay and |
BNP natural resources (Harlem et al. 2009), we evaluated threats and stressors on |
water resources of BNP attempting to improve understanding of its resources, in order |
to inform management of the identified threats directly related to human impacts. |
Given the oligotrophic nature of its waters, South Florida’s ecosystems respond |
very rapidly to small nutrient enrichment, especially to increases of phosphorous, the |
limiting nutrient. Biscayne Bay watershed displays diverse agricultural, urban and |
wetland cover, leading to differences in freshwater characteristics as well as in bay |
water composition. Median NOx concentrations are higher in agricultural runoff than in |
urban or wetland runoff; median concentrations of ammonia, TP, and SRP tend to be |
higher in urban runoff than in wetland or agricultural runoff; and median TON |
concentrations are higher in wetland and urban runoff than in agricultural runoff. |
Legacy and current-use pesticides, herbicides and their metabolites have been |
consistently detected, often at low concentrations, in canals and near-shore locations. |
Metals display little spatial difference except for lower values near Fisher Island and |
relatively high concentrations in sediments near the mouth of the Miami River. Also, |
some heavy metals are highest near marinas, where antifouling compounds were also |
high. Polychlorinated biphenyls (PCBs) are present in the highest concentrations and 5 |
times higher in male dolphins with sighting histories in the northern, metropolitan area of |
Biscayne Bay than to the south. Polynuclear aromatic hydrocarbons (PAHs) are |
vi |
commonly present in sediment samples, at relatively low concentrations with higher |
values occurring in marinas. |
Climate change threats to Biscayne National Park resources are linked to |
changes in rainfall and evaporation patterns affecting the amount of available |
freshwater and potentially causing prolonged droughts and/or flooding; saltwater |
intrusion into the coastal aquifers and public water supply wells; reduction of coastal |
stormwater release capacity due to sea level rise; and changes in tropical storm and |
hurricane activity with increased surge levels. One aspect of great concern is the |
release of sediment and its associated nutrients and pollutants to the marine system as |
coastlines erode due to sea level rise and storm activity. |
The Florida Department of Environmental Protection (FDEP) and the US |
Environmental Protection Agency (EPA) are in the process of developing numerical |
nutrient criteria for estuaries and coastal marine waters for Florida. Given the scarcity |
of information on the estuarine effects of nutrient enrichment on South Florida |
ecosystem components and the well documented relationship between nutrients and |
CHL-a, we approached the derivation of nutrient (Total Nitrogen and Phosphorus) |
concentration thresholds for each segment by identifying those concentrations above |
which significant increases in CHL-a occur. For this purpose we calculated and plotted |
CHL-a z-scored cumulative sum charts (Z-CUSUM) along nutrient gradients, mimicking |
cumulative results of nutrient dose-experiments. This allowed us to identify the |
successive phytoplankton biomass (CHL-a) reactions to nutrient enrichment, to select |
the main threshold and to assess the potential health status of phytoplankton |
communities in the water column. |
The calculated thresholds fix the upper limit for mean nutrient concentration |
above which a mean NNC would not be considered protective of the actual segment’s |
baseline conditions with respect to phytoplankton biomass. Hence, we propose the |
development of protective nutrient criteria that include only two limits, Long-Term Limit |
(LT-L) and Upper Limit (UP-L). The LT-L is the expected mean nutrient concentration in |
vii |
a water body at which no adverse effects would be expected or the effects would be |
insignificant for the type of designated use. The LT-L is equal to the nutrient threshold. |
The UP-L is a nutrient upper bound concentration of the LT-L that accounts for natural |
variability in nutrient drivers. The UP-L is the 80th percentile of a normal distribution with |
mean equal to the threshold and standard deviation equal to the nutrient’s standard |
deviation for the segment under consideration. We suggest the UP-L should not be |
breached more than once in a three year period. The selection of the 80th confidence |
interval and one- in-three years criteria limits Type I error rates to about 10 percent. |
viii |
TABLE OF CONTENTS |
EXECUTIVE SUMMARY iii |
INTRODUCTION 1 |
SECTION 1: DATA COLLECTION AND QUALITY ASSESSMENT/ |
QUALITY CONTROL 5 |
Data Sources 5 |
Quality Assessment/Quality Control 11 |
SECTION 2: PARK DESCRIPTION 13 |
Geology and Soils 15 |
Water Resources 18 |
Rainwater 19 |
Bay waters 24 |
Biscayne Bay Coastal Wetlands 26 |
SECTION 3: STATISTICAL ANALYSIS 28 |
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