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the seagrass is within the polyhaline zone. Assuming that the ideal environment |
for a given species, or the maximum zone of production (or growth, survival, |
food web production for that species) is this type of habitat, the freshwater flows |
shown are optimum for creating habitat for that species. Conversely, if |
freshwater inputs are reduced the overlaps change, and less polyhaline seagrass |
meadow is available. Thus depending on what the Valued Ecosystem |
Component (VEC) may be for a given area, freshwater inputs can be designed (if |
they can be controlled) to optimize habitat for that VEC. |
This concept of static and dynamic habitats can be used in a number of ways to |
evaluate the necessary freshwater needs of an estuary. As discussed below, these |
can include, Valued Ecosystem Components, as discussed in the previous Section |
BFA |
Figure 15 |
Stationary and dynamic habitat components, |
from Browder and Moore (1981). |
BFA |
Figure 16 |
Graphic representation of the range of salinity zones overlaid on a typical tidal creek |
system entering a higher ocean habitat (modified from Mitsch and Jorgensen 2004). |
Tidal Flows |
Freshwater Inflows |
BFA |
Figure 17 |
Graphic representation of salinity zones around a |
submerged artesian well in a marine environment. |
Freshwater Source |
Oligohaline |
Mesohaline |
Polyhaline |
Euhaline |
BFA |
Figure 18 |
Graphic showing the location of a seagrass bed in the estuary. |
Seagrass Meadow |
BFA |
Figure 19 |
Graphic showing static habitat (seagrass meadow) with dynamic habitat (freshwater |
inflow) overlay and resulting seagrass/salinity zones under normal flow conditions. |
Seagrass in the |
Euhaline Zone Seagrass in the |
Polyhaline Zone |
Seagrass in the |
Mesohaline Zone |
Normal Flows |
Potential Alternative Approaches for MFL Development for Biscayne Bay |
Freshwater Flow and Ecological Relationships in Biscayne Bay 5-7 |
4, indicator species, presence/absence/vitality of preferred habitats, ecological |
preservation, pre-development scenarios, requirements for preferred fish |
communities, community indices, food web support and soil characteristics. |
Jackson et al. (2000) outlines a process to evaluate ecological indicators |
specifically of interest to the Office of Research and Development of the |
U.S.E.P.A. The outline lists 15 guidelines for indicator evaluation to structure |
presentation of alternatives for evaluation but does not describe a selection |
process. Some of the guidelines are however relevant to the process of Biscayne |
Bay MFL ecological indicator identification. These include relevance to identified |
assessment questions and ecological functions within the specific ecosystem |
under evaluation; logistics requirements and ultimately the costs for |
implementation; discriminatory ability among sites along a known gradient; |
ability to provide information to support a management decision or to quantify |
the success of past and future decisions. |
Two presentations at the Estuarine Indicators Workshop (29-31 OCT 2003, |
Sanibel Island, Florida) were applicable to the question of how to evaluate |
various ecological indicators for final selection for the Biscayne Bay MFL. |
The presentation by Bill Dunson (Dunson 2003) on choosing fish “bio-indicators” |
listed five characteristics of an ideal estuarine indicator: |
1. Mix of taxonomic groups |
2. Mix of tropic groups |
3. Sensitivity to the abiotic parameter(s) of interest |
4. Important to stakeholders |
5. Existence of robust prior database on the bio-indicator(s) |
Similarly, Louis Toth (Toth 2003) explained the process of prioritizing 140 |
potential indicators of success in the restoration of the Kissimmee River. Seven |
characteristics were evaluated: |
1. Sensitivity to project effects |
2. Reliability of response |
3. Rapidity of response (for early warning and mid-course corrections) |
4. Ease/economy of monitoring |
5. Feedback to management (adaptive management) |
6. Relevance to endpoint (sociopolitical evaluation and data availability) |
7. Importance of endpoint (subjective evaluation of public opinion) |
Potential Alternative Approaches for MFL Development for Biscayne Bay |
Freshwater Flow and Ecological Relationships in Biscayne Bay 5-8 |
A scale of 1-5, with 1 being the highest rating (thus the lowest total value of a |
given rating meant the highest priority) was used. A combination of the Dunson |
and Toth methods were used in the analyses presented here. |
Alternative approaches considered for the Biscayne Bay MFL development |
included: |
· Valued ecosystem components |
· Indicator species |
· Presence/Absence/Vitality of Populations of Indicator Species |
· Pre-development scenarios |
· Ecological preservation at existing conditions |
· Requirements for preferred fish communities |
· Community index |
· Food web support |
· Soils |
These nine approaches were then individually evaluated for each sub-region of |
the Bay for strengths, weaknesses, opportunities, threats, cost effective |
performance standards and speed of information return to managers for |
adaptive management decisions. |
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