scholarly journals A GIS-Based Approach for Determining Potential Runoff Coefficient and Runoff Depth for the Indian River Lagoon, Florida, USA

2020 ◽  
Author(s):  
Philip W. Bellamy ◽  
Hyun Jung Cho
Keyword(s):  
Indian River Lagoon ◽  
Runoff Coefficient ◽  
Indian River ◽  
Runoff Depth

Dynamics of microcystins and saxitoxin in the Indian River Lagoon, Florida

Harmful Algae ◽  
2021 ◽  
Vol 103 ◽  
pp. 102012
Author(s):  
Abdiel E. Laureano-Rosario ◽  
Malcolm McFarland ◽  
David J. Bradshaw ◽  
Jackie Metz ◽  
Rachel A. Brewton ◽  
...  
Keyword(s):  
Indian River Lagoon ◽  
Indian River

scholarly journals Bloom dynamics and chemical defenses of benthic cyanobacteria in the Indian River Lagoon, Florida

Harmful Algae ◽  
2017 ◽  
Vol 69 ◽  
pp. 75-82 ◽  
Author(s):  
Jennifer M. Sneed ◽  
Theresa Meickle ◽  
Niclas Engene ◽  
Sherry Reed ◽  
Sarath Gunasekera ◽  
...  
Keyword(s):  
Indian River Lagoon ◽  
Chemical Defenses ◽  
Benthic Cyanobacteria ◽  
Indian River

scholarly journals Bivalve Feeding on the Brown Tide Aureoumbra lagunensis in a Shallow Coastal Environment

2021 ◽  
Vol 8 ◽  
Author(s):  
Eve Galimany ◽  
Jessica Lunt ◽  
Christopher J. Freeman ◽  
I. Segura-García ◽  
M. Mossop ◽  
...  
Keyword(s):  
Clearance Rate ◽  
Indian River Lagoon ◽  
Brown Tide ◽  
Bivalve Species ◽  
Clearance Rates ◽  
Interspecific Differences ◽  
Brown Tides ◽  
Indian River ◽  
Aureoumbra Lagunensis ◽  
Fish And Shellfish

Brown tides formed by Aureoumbra lagunensis decrease light penetration in the water column and are often followed by hypoxic events that result in the loss of fish and shellfish. To understand the ability of bivalve filter feeders to control and prevent A. lagunensis blooms, we exposed eastern oysters (Crassostrea virginica), hooked mussels (Ischadium recurvum), and hard clams (Mercenaria mercenaria) to a naturally co-occurring brown tide in the Indian River Lagoon (IRL), Florida, United States. Bivalves were exposed in the laboratory to multiple concentrations (104 to 106 cells mL–1) of isotopically labeled (13C and 15N) A. lagunensis cells. The standard clearance rate (herein clearance rate) of each bivalve species was calculated using flow cytometry to quantify A. lagunensis cell removal. The highest clearance rates were at 104 cells mL–1, but values varied across bivalve species (2.16 ± 0.30, 3.03 ± 0.58, and 0.41 ± 0.12 L h–1 for C. virginica, I. recurvum, and M. mercenaria, respectively). Although clearance rates decreased with increasing bloom concentrations, bivalves were still consuming algal cells at all concentrations and were retaining and assimilating more cells at the highest concentrations, as revealed by δ13C and δ15N values. We highlight interspecific differences among bivalve species in the removal of A. lagunensis, supporting the importance of healthy and diverse filter feeding communities in estuaries, especially as threats of brown tides and other HABs are increasing in the Anthropocene.

The Living Dock: A Study of Benthic Recruitment to Oyster Substrates Affixed to a Dock in the Indian River Lagoon

2018 ◽  
Vol 52 (4) ◽  
pp. 7-18
Author(s):  
Robert J. Weaver ◽  
Kelli Hunsucker ◽  
Holly Sweat ◽  
Kody Lieberman ◽  
Abby Meyers ◽  
...  
Keyword(s):  
Citizen Science ◽  
Indian River Lagoon ◽  
Pilot Project ◽  
Percent Cover ◽  
Benthic Organisms ◽  
Science Project ◽  
Time Period ◽  
Indian River ◽  
Local Water ◽  
Citizen Science Project

AbstractBenthic filter feeding organisms have the potential to improve local water quality by filtering microalgae and particulate matter out of the water column. A pilot project was conducted to test the concept of creating a Living Dock by growing these filter feeders at a dock in the Indian River Lagoon. Two different methods (mats and bags) were tested for their ability to recruit benthic organisms, as well as the efficacy of these methods for use as a long-term citizen science project. Eighteen oyster mats were wrapped around dock pilings, and 18 oyster bags were suspended between pilings of the same dock. After 1 year of immersion, healthy populations of barnacles, sponges, algae, bryozoans, mussels, and tunicates were found growing on both the bags and the mats. During that same time period, live oysters were also found growing on both mats and bags, with a maximum of 73 live oysters in one bag. Although the total percent cover of organisms settling on the shells did not differ between the mats or the bags, there was significantly greater organismal diversity in the bag treatment compared to the mat treatment. Bags were a more effective recruiter of benthic organisms, but longevity was an issue, with bags becoming heavily fouled and often breaking loose from the dock over time. It was noted that the mats with the higher shell densities saw greater recruitment and had greater diversity. Although the bags proved to be a better alternative than mats for the recruitment and growth of benthic organisms, they are not sustainable for use as a citizen science project. Future efforts should consider constructing mats with high-density shell counts, as the mats have more durability and are better suited for citizen scientists.

scholarly journals Bivalve Feeding Responses to Microalgal Bloom Species in the Indian River Lagoon: the Potential for Top-Down Control

2020 ◽  
Vol 43 (6) ◽  
pp. 1519-1532
Author(s):  
Eve Galimany ◽  
Jessica Lunt ◽  
Christopher J. Freeman ◽  
Jay Houk ◽  
Thomas Sauvage ◽  
...  
Keyword(s):  
Indian River Lagoon ◽  
Top Down ◽  
Indian River

scholarly journals A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient

2020 ◽  
Vol 51 (6) ◽  
pp. 1238-1260
Author(s):  
Shumin Liang ◽  
Richard Greene
Keyword(s):  
High Resolution ◽  
Empirical Formula ◽  
Least Square ◽  
Runoff Coefficient ◽  
Ordinary Least Square ◽  
Runoff Volume ◽  
Total Runoff ◽  
High Resolution Map ◽  
Runoff Depth ◽  
Ordinary Least Square Regression

Abstract This paper reviews 110 years of global runoff estimation. By employing the method of ordinary least square regression on a sample region's runoff coefficient, an empirical formula of a runoff coefficient is calculated for China. Based on this empirical formula applied with a high-resolution grid of precipitation, runoff is calculated resulting in an equally high-resolution map of global runoff using a geographic information system (GIS). The main results are (1) the global total runoff volume is 47,884 km3, (2) the average runoff depth is 359 mm, (3) the interior drainage region's runoff volume is 1,663 km3, and (4) the average runoff depth is 58.4 mm. The results are compared with the results of the existing literature on global runoff. This study emphasizes the importance of runoff and groundwater recharge in arid and semi-arid regions where the estimation value of runoff depth is significantly increased.

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