text stringlengths 0 6.44k |
|---|
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 |
Summary Statistics 28 |
Factor Analysis and Clustering 28 |
Factor Analysis 29 |
Hierarchical Clustering 31 |
Clusters Characteristics 36 |
Freshwater Flow 36 |
Salinity 37 |
Temperature 39 |
Turbidity 39 |
Nitrite (NO2) 40 |
Nitrate (NO3) 41 |
Ammonium (NH4) 42 |
Total Nitrogen (TN) and Total Organic Nitrogen (TON) 43 |
Total Phosphorous (TP) 45 |
Chlorophyll a (CHLa) 46 |
Total Organic Carbon (TOC) 47 |
Dissolved Oxygen (DO) 48 |
Trend Analysis 50 |
Total Nitrogen 51 |
Total Phosphorous 51 |
Total Organic Carbon 53 |
Chlorophyll a 54 |
Dissolved Inorganic Nitrogen 55 |
Salinity 56 |
Dissolved Oxygen 57 |
ix |
Temperature 57 |
SECTION 4: BOX-MODEL 60 |
SECTION 5: THREATS TO BISCAYNE NATIONAL PARK RESOURCES 68 |
Habitat Loss and Impairment 69 |
Coastal Development 69 |
Channelization/Sheet Flow Barriers 70 |
Habitat Fragmentation 71 |
Power Plants 71 |
Water Quality 72 |
Nutrient enrichment 73 |
Turbidity 74 |
Microbial contamination 74 |
Pesticides and herbicides 75 |
Metals 76 |
Anti-fouling agents 77 |
PCBs and PAHs 78 |
Climate Change 78 |
Sea Level Rise 79 |
Ocean acidification 79 |
SECTION 6: NUMERIC NUTRIENT CRITERIA 82 |
Segmentation of South Florida Waters 84 |
Numeric Nutrient Criteria 87 |
Threshold Analysis 89 |
Criteria 94 |
RECOMMENDATIONS 96 |
REFERENCES 98 |
APPENDIXES |
APPENDIX 1: Cetacean Logic Foundation Box-Model Report |
APPENDIX 2: Data Source Description |
APPENDIX 3: Master Database |
APPENDIX 4: Time-series Analysis with Zcusum Charts |
APPENDIX 5: Summary Statistics |
APPENDIX 6: Method for Derivation of Protective Numeric Nutrient Criteria |
APPENDIX 7: Detection Limits for FIU Biogeochemical data |
APPENDIX 8: Biscayne Bay Factor Analysis |
APPENDIX 9: Akritas Theil Sen Regression Results |
x |
LIST OF FIGURES page |
Figure 1.1: Location of FIU sampling sites in Biscayne Bay 9 |
Figure 1.2: Location of DERM sampling sites in Biscayne Bay 9 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.