Flow speed on the north shore of Moorea, French from 2007 to 2021
Project
Program
| Contributors | Affiliation | Role |
|---|---|---|
| Edmunds, Peter J. | California State University Northridge (CSUN) | Principal Investigator |
| Burgess, Scott | Florida State University (FSU) | Scientist |
| Maritorena, Stephane | University of California-Santa Barbara (UCSB-ERI) | Scientist |
| York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Abstract
The ecological methods are described in detail in Edmunds et al. (2024, doi:10.1007/s00442-024-05517-y), and are briefly summarized below.
The study utilized the time series of the Moorea Coral Reef LTER, as they relate to coral community dynamics on the north shore fore reef. Annual measurements of coral cover, the density of coral settlers, and the density of small corals were used together with records of the environmental conditions to which they were exposed. Analyses focused on 2008–2021, which captured the final years of the last population outbreak of the crown of thorns (COTs) sea star, the coral population recovery that took place between 2010 and 2019, and coral mortality attributed to bleaching in 2019. Biological data came from two sites (LTER1 and LTER2) that are ~ 3 km apart, with environmental data from the same or similar sites (temperature), one of the two sites (flow at LTER1), or from 4.5 km resolution remote sensing data (Chlorophyll a).
Bottom seawater flow (m s-1) was recorded at 15-m depth at LTER1 using an Acoustic Doppler Current Profiler (RDI Workhorse Sentinel) sampling every 20 minutes and averaged by month.
* See "Related Datasets" section for access to related dataset pages which include dataset-specific methodology.
Data was recorded at 20 minutes and averaged by month. Missing data values were interpolated with month averages across years for each depth.
* Sheet "MCR_LTER_FOR01_PhysoData_Monthl" of file "Flow Speeds 2008-2022.xlsx" was imported into the BCO-DMO data system with values "nd" as missing data values.
** Missing data values are displayed differently based on the file format you download. They are blank in csv files, "NaN" in MatLab files, etc.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* dataset references to results publication Edmunds et al 2023 changed to 2024 since that was the year assoicated with the DOI after final publication. Edmunds et al. (2024, doi:10.1007/s00442-024-05517-y)
| File |
|---|
918306_v1_flow-speeds.csv (Comma Separated Values (.csv), 3.15 KB) MD5:bcfe1e17bdbe79100b957d3fad00e908 Primary data file for dataset ID 918306, version 1 |
| File |
|---|
Site list filename: site_locations.csv (Comma Separated Values (.csv), 215 bytes) MD5:d13ffaef5e5725529594f401de6a97cc Site location list in Moorea (LTER0,LTER1,LTER2) for datasets related to Edmunds et al. (2024, doi:10.1007/s00442-024-05517-y) and Edmunds et al. (2020, doi:10.1093/icesjms/fsaa015).
Columns:
location, geolocation name
site, site identifier
lat_dd, site latitude, decimal degrees
lon_dd, site longitude, decimal degrees
lat_deg_decmin, site latitude, degrees decimal minutes
lon_deg_decmin, site longitude, degrees decimal minutes |
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
Relationship Description: Datasets in support of results publication Edmunds et al. (2023).
| Parameter | Description | Units |
| Year | Year of measurement | unitless |
| Month | Month of measurement, 1 = Jan, 2 = Feb, etc. | unitless |
| Bottom_flow | Bottom flow speed (m/s) | meters per second (m/s) |
| Surface_flow | Surface flow speed (m/s) | meters per second (m/s) |
| Dataset-specific Instrument Name | RDI Workhorse Sentinel |
| Generic Instrument Name | Acoustic Doppler Current Profiler |
| Dataset-specific Description | Bottom seawater flow (m s-1) was recorded at 15-m depth at LTER1 using an Acoustic Doppler Current Profiler (RDI Workhorse Sentinel) sampling every 20 minutes and averaged by month. |
| Generic Instrument Description | The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing). |
Moorea Coral Reef Long-Term Ecological Research site (MCR LTER)
From http://www.lternet.edu/sites/mcr/ and http://mcr.lternet.edu/:
The Moorea Coral Reef LTER site encompasses the coral reef complex that surrounds the island of Moorea, French Polynesia (17°30'S, 149°50'W). Moorea is a small, triangular volcanic island 20 km west of Tahiti in the Society Islands of French Polynesia. An offshore barrier reef forms a system of shallow (mean depth ~ 5-7 m), narrow (~0.8-1.5 km wide) lagoons around the 60 km perimeter of Moorea. All major coral reef types (e.g., fringing reef, lagoon patch reefs, back reef, barrier reef and fore reef) are present and accessible by small boat.
The MCR LTER was established in 2004 by the US National Science Foundation (NSF) and is a partnership between the University of California Santa Barbara and California State University, Northridge. MCR researchers include marine scientists from the UC Santa Barbara, CSU Northridge, UC Davis, UC Santa Cruz, UC San Diego, CSU San Marcos, Duke University and the University of Hawaii. Field operations are conducted from the UC Berkeley Richard B. Gump South Pacific Research Station on the island of Moorea, French Polynesia.
MCR LTER Data: The Moorea Coral Reef (MCR) LTER data are managed by and available directly from the MCR project data site URL shown above. The datasets listed below were collected at or near the MCR LTER sampling locations, and funded by NSF OCE as ancillary projects related to the MCR LTER core research themes.
This project is supported by continuing grants with slight name variations:
- LTER: Long-Term Dynamics of a Coral Reef Ecosystem
- LTER: MCR II - Long-Term Dynamics of a Coral Reef Ecosystem
- LTER: MCR IIB: Long-Term Dynamics of a Coral Reef Ecosystem
- LTER: MCR III: Long-Term Dynamics of a Coral Reef Ecosystem
- LTER: MCR IV: Long-Term Dynamics of a Coral Reef Ecosystem
Long Term Ecological Research network (LTER)
adapted from http://www.lternet.edu/
The National Science Foundation established the LTER program in 1980 to support research on long-term ecological phenomena in the United States. The Long Term Ecological Research (LTER) Network is a collaborative effort involving more than 1800 scientists and students investigating ecological processes over long temporal and broad spatial scales. The LTER Network promotes synthesis and comparative research across sites and ecosystems and among other related national and international research programs. The LTER research sites represent diverse ecosystems with emphasis on different research themes, and cross-site communication, network publications, and research-planning activities are coordinated through the LTER Network Office.
2017 LTER research site map obtained from https://lternet.edu/site/lter-network/
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |
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