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• Reduced fresh water available • Reduced groundwater flow |
• Rising water tables |
• Reduced soil storage capacity |
• Increased risk of flooding of |
coastal and low-lying inland |
areas |
Changes in • Longer, more severe drought • Shorter, wetter rainy seasons • Stresses on agriculture, |
rainfall during dry season • More severe rainfall events landscaping, and natural |
patterns • Greater likelihood of • Severe flooding during more systems due to drought |
multiyear droughts intense rain events |
• Reduced annual rainfall (10- |
15%) |
• Increased risk of ground and |
surface water contamination |
due to flooding |
More intense • Increased risk of • Enhanced storm surge • Greater wind and storm surge |
hurricanes contamination with seawater • More intense rainfall damage |
due to storm surge, • Beach erosion |
• Coastal inundation |
Higher • Increased evapotranspiration • Heat stress on |
temperatures reducing water available for ecosystems and marine life |
urban and natural areas • Dehydration of plants and |
soils |
• Greater risk of urban fires |
and wildfires |
• Hypoxia of coastal waters |
and algae blooms |
• Increased risk of insects and |
insect-borne disease |
82 |
SECTION 6: |
NUMERIC NUTRIENT CRITERIA |
An additional task was added to the original NPS-FIU Task Agreement, whose |
objective was to derive numeric nutrient criteria for all south Florida estuaries and |
coastal waters, including Biscayne Bay. FIU has been monitoring WQ in South Florida |
since the early 1990’s, hence, expanding the objectives to incorporate all estuaries and |
coastal waters from North Biscayne Bay, to Pine Island Sound, on the western coast |
(Fig 6.1) was a natural progression to other tasks in the project. |
Among the several reasons for on-going water quality problems in South Florida |
is the unenforceability of its narrative water quality criteria. Existing Outstanding Florida |
Waters, anti-degradation, standards and many of the Class III, protection of designated |
use, standards are non-numeric, making their applicability very limited at best. Thus, |
there is an immediate need to change their narrative format to a more practical and |
usable numeric format through the implementation of valid processes and sound |
statistical methods. The US Environmental Protection Agency (USEPA) and the Florida |
Department of Environmental Protection (FDEP) are in the process of deriving such |
numeric nutrient criteria for South Florida estuaries and coastal waters, which must be |
promulgated by late 2012. |
Most of these waters are either within designated National Parks lands or within |
their influence zones, and considering that it is responsibility of the National Park |
Service to protect and preserve the natural and cultural resources and values of the |
National Park System, NPS has a great interest in EPA’s and FDEP’s efforts for |
developing t numeric surface water quality criteria for key nutrients. |
Water quality of South Florida’s estuaries and coasts is the result of a long-term |
and poorly understood interplay of local, regional and global forcing, drivers, pressures |
and responses. Monitoring programs render water quality (WQ) snapshots taken during |
the last 20 years from which researchers attempt to produce not only a motion picture of |
83 |
the past, but a projection of future scenarios. South Florida’s coastal and estuarine |
waters have experienced the impact of anthropogenic interventions since the early |
1900’s, including major disruptions of its hydrology and also sustained urban and |
agricultural development (Davis and Ogden, 1994; Hunt et al. 2007; Nuttle et al. 2000; |
RECOVER 2005). Furthermore South Florida (SoFlo) waters are influenced by distant |
sources, such as the Gulf of Mexico and the Mississippi River. Hence, SoFlo aquatic |
ecosystems bear the heritage and signals of these long and sustained influences. |
Figure 6.1: Spatial coverage of FIU Water Quality Monitoring Network. |
(http://serc.fiu.edu/wqmnetwork/). |
Given the ecological impacts caused by water management of the Everglades |
since the last century, the probabilities of finding a pristine water body are meager. |
Nevertheless, most South Florida estuaries are oligotrophic and practically algal bloomfree, except for some restricted areas (Central Florida Bay and North Biscayne Bay) |
where occurrence of algal blooms is chronic. The USEPA recommends three types of |
84 |
approaches for setting numeric nutrient criteria, including: reference condition |
approaches, stressor-response analysis, and mechanistic modeling. This study will |
apply the second of these approaches and use FIU’s water quality monitoring data to |
describe stressor-response relationships and use this information to derive numeric |
nutrient criteria. We will first focus our efforts on defining baseline conditions. We will |
develop water quality targets using information on the relationship between Total |
Nitrogen (TN) and Total Phosphorous (TP) as causal enrichment variables, and |
Chlorophyll a (CHLa) as initial response variable, given its recognized value as |
ecological indicator of nutrient enrichment (Boyer et al. 2009). |
SEGMENTATION OF SOUTH FLORIDA WATERS |
It has been well documented that South Florida estuaries have different water |
quality characteristics due to differences in geomorphology, water circulation, residence |
time, soil type in their watershed and bay bottom, benthic communities, and |
management practices. We evaluated these characteristics and reassessed all |
previously established subdivisions for Florida Bay, Ten Thousand Islands, Whitewater |
Bay, Pine Island Sound-Rookery Bay, Florida Keys and Biscayne Bay. After an initial |
stage of QA/QC, we redefined the Period of Record (POR) for each basin depending |
upon data availability and variable set completeness for the whole set of |
biogeochemical parameters (total and dissolved nutrients, CHLa, turbidity, temperature, |
salinity, DO and light extinction). We then calculated descriptive statistics and |
performed long-term trend exploration of the redefined POR time-series, to gain insight |
into patterns of behavior along the POR for all relevant biogeochemical parameters. |
This exploration was performed with Akritas Thiel-Sen slope calculations and z-scored |
cumulative sum charts (explained above). |
85 |
Figure 6.2: Flow diagram illustrating the steps followed in the derivation of Numeric |
Nutrient Criteria as applied to South Florida coastal and estuarine waters. |
A well recognized spatial-temporal variability within estuaries and coastal waters |
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