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Cuba's Mesophotic Coral Reefs and Associated Fish Communities
Title
Cuba's Mesophotic Coral Reefs and Associated Fish Communities.
Creator
Reed, John K., Gonzalez-Diaz, Patricia, Busutil, Linnet, Farrington, Stephanie, Martínez-Daranas, Beatriz, Cobián Rojas, Dorka, Voss, Joshua, Diaz, Maria Cristina, David, Andrew, Hanisak, M. Dennis, Mendez, Juliett Gonzalez, Garcia Rodriguez, Alain, González-Sanchez, Patricia M., Viamontes Fernandez, Jorge, Estrada Perez, Daniel, Studivan, Michael, Drummond, Felicia, Jiang, Mingshun, Pomponi, Shirley A.
Date Issued
2018
PURL
http://purl.flvc.org/fau/fd/FAUIR000351
Format
Citation
Cruise Report. Cuba's Twilight Zone Reefs: Remotely Operated Vehicle Surveys of Deep/Mesophotic Coral Reefs and Associated Fish Communities of Cuba
Title
Cruise Report. Cuba's Twilight Zone Reefs: Remotely Operated Vehicle Surveys of Deep/Mesophotic Coral Reefs and Associated Fish Communities of Cuba.
Creator
Reed, John K., Farrington, Stephanie, Gonzalez-Diaz, Patricia, Lopez, Linnet Busutil, Martínez-Daranas, Beatriz, Cobián Rojas, Dorka, Voss, Joshua, Hanisak, M. Dennis, Diaz, Maria Cristina, Jiang, Mingshun, Studivan, Michael, David, Andrew, Drummond, Felicia, Mendez, Juliett Gonzalez, Garcia Rodriguez, Alain, González-Sanchez, Patricia M., Fernández, Jorge Viamontes, Pérez, Daniel Estrada, Horn, Lance, White, Jason, Pomponi, Shirley A.
Abstract/Description
The purpose of this research cruise was to discover and characterize, for the first time, the extent of mesophotic reefs along the entire coastline of Cuba, and to compare the health and connectivity (physical, genetic and ecological) among both mesophotic and previously well-characterized shallow reef systems in Cuba, the southeastern United States, and Gulf of Mexico (in particular, the FGBNMS and FKNMS). Moreover, the project will directly address a recommendation in the Report from...
Show moreThe purpose of this research cruise was to discover and characterize, for the first time, the extent of mesophotic reefs along the entire coastline of Cuba, and to compare the health and connectivity (physical, genetic and ecological) among both mesophotic and previously well-characterized shallow reef systems in Cuba, the southeastern United States, and Gulf of Mexico (in particular, the FGBNMS and FKNMS). Moreover, the project will directly address a recommendation in the Report from MarCuba (2015) in which the U.S. and Cuban participants in this project stated their intention to initiate an international collaboration.
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Date Issued
2017-10-31
PURL
http://purl.flvc.org/fau/fd/FAUIR000226
Format
Citation
Variability of Winter-Spring Bloom Phaeocystis pouchetii Abundance in Massachusetts Bay
Title
Variability of Winter-Spring Bloom Phaeocystis pouchetii Abundance in Massachusetts Bay.
Creator
David G. Borkman, P. Scott Libby, Michael J. Mickelson, Jefferson T. Turner, Mingshun Jiang
Abstract/Description
Abundance of the prymnesiophyte Phaeocystis pouchetii was quantified via light microscopy at 2-week to monthly intervals in Massachusetts Bay (southern Gulf of Maine, NW Atlantic) during 1992–2012. Variability in the abundance and seasonal cycle of Phaeocystis are described and synoptic hydrographic, nutrient, and meteorological data were analyzed to identify factors that may influence Phaeocystis abundance. The maximum Phaeocystis abundance was 14 × 106 cells L−1 (10 Apr 2008). It was...
Show moreAbundance of the prymnesiophyte Phaeocystis pouchetii was quantified via light microscopy at 2-week to monthly intervals in Massachusetts Bay (southern Gulf of Maine, NW Atlantic) during 1992–2012. Variability in the abundance and seasonal cycle of Phaeocystis are described and synoptic hydrographic, nutrient, and meteorological data were analyzed to identify factors that may influence Phaeocystis abundance. The maximum Phaeocystis abundance was 14 × 106 cells L−1 (10 Apr 2008). It was frequently (5 of 8 years) absent prior to year 2000, but not thereafter. Seasonally, it first appeared in February to early March, reached peak abundance in mid-April, and persisted until May or early June for a duration of 0–112 days (mean 34 days). A long-term alternation between Phaeocystis and centric diatom abundance was apparent, suggesting winter-spring selection of either Phaeocystis or centric diatoms. Phytoplankton community analysis suggested that blooms affected the rest of the phytoplankton community. Phaeocystis blooms were manifest as a substantial increase in particulate nutrients above normal levels. Phaeocystis blooms were preceded in February by a slightly elevated concentration of NO3 (9.3 vs. 6.5 μM when absent) and PO4 (0.99 vs. 0.79 μM when absent). Blooms were also preceded by elevated ratios of NO3/PO4, NO3/Si, and PO4/Si, and warmer, saltier waters reflecting reduced river discharge. The correlation with salinity and river discharge suggests that Phaeocystis bloom variability is partially determined by annually varying circulation processes that determine the degree of low nutrient, low salinity coastal water intrusion into Massachusetts Bay.
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Date Issued
2016
PURL
http://purl.flvc.org/fau/fd/FAUIR000519
Format
Document (PDF)
Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena
Title
Adaptive Decentralized Control of Mobile Underwater Sensor Networks and Robots for Modeling Underwater Phenomena.
Creator
Carrick Detweiler, Sreeja Banerjee, Marek Doniec, Mingshun Jiang, Francesco Peri, Robert F. Chen, Daniela Rus
Abstract/Description
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum and show how the controller can be extended to work with hybrid robot and...
Show moreUnderstanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. In this article, we develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum and show how the controller can be extended to work with hybrid robot and sensor network systems. We implement the controller on an underwater sensor network with depth adjustment capabilities. Through simulations and in-situ experiments, we verify the functionality and performance of the system and algorithm.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FAUIR000520
Format
Document (PDF)