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political and regulatory activities also affect the ability to infer current and future nutrient |
loads simply from land use. |
The mass-balance calculations provide an incomplete description of the |
processes contributing to the variation of nutrient concentrations in Biscay Bay, and one |
must keep in mind the particular capabilities and limitations of this modeling approach in |
interpreting the results. First, the mass-balance model represents the long-term |
balance between nutrient loads from external sources and nutrient removal by |
advection and exchange of surface water. Therefore, the nutrient concentrations |
calculated by the model are comparable only to long-term average concentrations in the |
66 |
water column and they are not predictive of short-term variations around the mean |
concentrations. Second, with the exception of a net rate of denitrification in the |
calculation of dissolved inorganic nitrogen (DIN) concentrations, internal fluxes due to |
the uptake of nutrients by biota, excretion by organisms, and exchange with benthic |
sediments are not included in the model calculations. These internal fluxes of nutrients |
may affect the variation of nutrients in the water column in response to short-term |
events, such as runoff from storm events, and seasonally. By excluding internal |
processes of nutrient uptake and transformation, it is assumed that they make a |
negligible contribution to balancing nutrient inputs from external sources over the longterm. Third, mass-balance calculations for nitrogen do not account for all nitrogen |
species known to be present in the water column. Calculations are applied only to NOxN (NO2 plus NO3) and DIN (the sum of NOx-N and NHx-N) concentrations. |
Even with these limitations, this study showed that the mass-balance nutrient |
calculations work well for an evaluation of estimated nutrient loads from the watershed |
by comparing the long-term average concentrations calculated based on these loads to |
the long-term average of concentrations measured in the Bay. The average |
concentrations calculated for total phosphorous and dissolved inorganic nitrogen in the |
Bay are generally within 25 percent of the average of measured concentrations for the |
recent period July 1997 through June 2007. This lends confidence that the nutrient |
loads developed in this study are reasonable estimates of the actual long-term average |
nutrient loads to Biscayne Bay under current conditions, and that the box model may be |
a useful tool for investigating the fate and transport of nutrients in the Bay. |
In conclusion, the mass-balance approach to linking nutrient loads to Biscayne |
Bay with the resulting water column concentrations has proven to be useful as a check |
on the magnitude of the nutrient loads estimated from available data as well as to |
provide information on the fate and transport of nutrient loads. The mass-balance |
approach is simple to implement compared to the more costly alternative of developing |
a coupled hydrodynamic/water quality model, and the simpler approach lends itself to |
the analysis of uncertainty and alternatives by sensitivity analysis. However, the down- |
67 |
side of the simpler approach is that the mass-balance calculations are not able to |
predict the short-term response of nutrient concentrations in the Bay to changes in |
loads. As a result the model calculations may not account for the effect of higher |
frequency (relatively) processes that may drive nutrient fluxes to and from the water |
column within the Bay itself. To a large extent, these limitations are imposed by the data |
that are available to calibrate and verify water quality calculations no matter what model |
is used. Even so the model was capable of being used in a sensitivity analysis mode to |
provide a rough-order-of-magnitude estimate of future nutrient loads to Biscayne Bay |
and the resulting water quality in the Bay. |
Feedback received at a workshop convened to review the results of this project |
recommended that further work be undertaken to understand better and refine the |
mass-balance calculations. Seasonal variation in nutrient concentrations and the |
effects of singular events, such as hurricanes, have not been examined in detail, even |
though these are evident in the monitoring data and in the model calculations. More |
work is needed to understand the fate of the NOx-N that is apparently ―missing‖ from |
the South Central Inshore region, including the effects of tidal circulation and biological |
uptake. Once these questions are satisfactorily addressed, the results of calculations |
can be refined to include the effect of water management policies and practices on the |
seasonal and inter-annual variations in freshwater inflows and nutrient loads. |
68 |
SECTION 5: |
SUMMARY OF THREATS TO BISCAYNE |
BAY AND BISCAYNE NATIONAL PARK |
WATER RESOURCES |
The following chapter is a summary of a recent assessment of natural resource |
conditions in Biscayne Bay (Fig 5.1), based on the evaluation of a review/compilation of |
existing information on Park’s natural resources (Harlem et al. 2009). This review of |
existing data was used to evaluate threats and stressors, and is intended to improve |
understanding of BNP resources in order to help guide Park management to properly |
address the identified threats. Threats to the resources of Biscayne National Park are |
multiple as are gaps in our understanding of the functioning of the Biscayne Bay |
ecosystem. Harlem et al. (2009) focused on several broad resource components, |
namely terrestrial resources and aquatic systems including wetlands, canals, bay |
waters, marine/reef areas and ground waters. Both, biotic and abiotic resource |
components were considered in the study, and the main objectives of the assessment |
were: |
1. Provide a review/compilation of existing information on BNP natural resources. |
2. Provide a list and description of a suite of threats/stressors to these resources. |
3. Generate a semi-quantitative estimation and ranking of such threats to defined |
resource components, and the richness of existing information |
4. Identify research needs based on information gaps and degree of threat to |
said resources. |
69 |
Figure 5.1: Biscayne National Park. Also shown, canals, ditches and tidal creeks |
dissecting the mainland west of Biscayne Bay. |
HABITAT LOSS AND IMPAIRMENT |
Coastal Development |
Biscayne Bay’s watershed has experienced an enormous expansion in urban |
development in the last 100 years, from 12,000 people in 1910 to 2,460,000 people in |
2010 for Miami-Dade alone (http://www.census.gov/popest/data/index.html). Former |
wetlands and more recently farm fields have been transformed into residential areas |
(Figure 5.2). More people near the Park increases impact on resources by augmenting |
usage of the parklands for recreation, increasing pollution, and further requiring |
70 |
measures to reduce flooding which, in turn, impacts surface and groundwater flows to |
the Park. Projections of considerable further development to south Miami-Dade County |
are alarming in the scope and magnitude of sprawl development. |
Figure 5.2: Changes in land cover/land use in Miami’s Greater Metropolitan area since |
1972. Modified after Migliaccio et al (2009). |
Channelization/Sheet Flow Barriers |
Canals in South Florida were designed to collect surface water and remove it |
from the landscape thus virtually eliminating sheet flow which once dominated the |
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