http://lod.bco-dmo.org/id/dataset/987227
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2025-10-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Vegetation surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study
2025-11-18
publication
2025-11-18
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-11-21
publication
https://doi.org/10.26008/1912/bco-dmo.987227.1
Anne Innes-Gold
University of Hawaiʻi at Mānoa
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Innes-Gold, A. (2025) Vegetation surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-11-18 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.987227.1 [access date]
Methods and Sampling: <p>Surveys were conducted monthly from August 2022-December 2023. We recorded three 5-meter-long video transects, spaced evenly around the reef, starting from each of the three top-layer cinder blocks of the artificial reef, positioned perpendicularly to the cinder block and going outwards into the seagrass meadow. On each video transect, photos were taken continuously starting at the artificial reef. Each photo was imported into ImageJ (version 1.53t), where the scale was set based on a 10 cm measure on the transect, and then a virtual 20x20 cm quadrat was laid directly on the right side of the transect. Virtual quadrats were laid consecutively every 20 cm (e.g., a quadrat from each of 0-20 cm, 20-40 cm, 40-60 cm, etc.). Then, 20 random points were generated inside each distance bin and classified as sand or vegetation.&nbsp;<em>&nbsp;</em></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1941737 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1941737
completed
Anne Innes-Gold
University of Hawaiʻi at Mānoa
ainnesgo@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
ImageName
Date
Month
Year
Day
Reef
Transect
DistanceTransect
BinNumber
NumberAlgae
NumberSand
QuadratSize
Notes
DominantVegetation
Analyzer
Latitude
Longitude
Camera: Gopro Hero 10
theme
None, User defined
file_name
date_local
month_local
year
day_local
site description
transect
sample description
No BCO-DMO term
comments
person name
latitude
longitude
featureType
BCO-DMO Standard Parameters
Underwater Camera
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales
http://oceansphere.org
CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales
<p><em>NSF Award Abstract:</em><br />
Coral reefs worldwide are under increasing threat from a range of human-induced stressors. Climate change is understood to be a key global stressor threatening reefs, but the only proven levers for ecosystem managers to increase reef resilience is to mitigate local and regional stressors such as fishing pressure. A vexing question persists, however, which is how to measure the effects of fishing on ecosystems, particularly over the large spatial (e.g., >10s of meters) and temporal (multi-year) scales over which fishing occurs. One promising approach to doing so is using the large-scale vegetation patterns found on coral reefs globally, called “halos”, to remotely observe when, where, and to what extent fishing pressure is affecting community structure and function. This program combines lab- and field-based experiments with cutting-edge satellite imaging technology and computer science approaches to provide a leap forward in our understanding of how species-level interactions can scale up in space and time to shape coral reef seascapes around the world. By drawing on these approaches, the synergistic education program: 1) integrates science and art (i.e., murals and satellite imagery) to educate and inspire Hawai‘i’s students and general public about coral reef ecology; 2) builds technological capacity in Hawai‘i’s underrepresented minority high school to graduate students, and 3) empowers these students with science communication skills to communicate with diverse audiences. By leveraging this research program and the cutting-edge technologies it will involve, the investigator establishes a strong foundation for long-term teaching and mentoring activities focused on increasing capacity within STEM-underrepresented minorities with Hawaiian and other Pacific Islander backgrounds. Decoding what coral reef halos can tell us about the effects of fishing on reef ecosystem health provides valuable knowledge to reef ecosystem managers and conservation practitioners as reefs continue to rapidly change due to human stressors.</p>
<p>This project combines lab- and field-based experiments with cutting-edge satellite imaging technology and computer science approaches to address the goals of: 1) determining the mechanisms that create the “halos” that form around coral patch reefs, and 2) testing the predictions arising from these mechanisms in a global arena. This project uses a transdisciplinary approach – spanning ecology, oceanography, geospatial science, and computer science – to address these goals. This program has three scientific objectives: to determine 1) which species interaction mechanisms and environmental factors cause reef halos and what their relative importance is; 2) whether these mechanisms are globally consistent or vary geographically; and 3) whether halos can therefore be used as an indicator of aspects of coral reef ecosystem health. In the process, this research advances our understanding of how remote observation tools (satellite and drone imagery; camera traps) can be integrated with computer science (machine learning) and ecological approaches (mechanistic experiments) to generate emergent insights that would not otherwise be possible.</p>
<p>This project is jointly funded by the Biological Oceanography Program, the Established Program to Stimulate Competitive Research (EPSCoR), and Ocean Education Programs.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Coral Reef Halos
largerWorkCitation
project
eng; USA
oceans
-157.806783
-157.806396
21.464012
21.464275
2022-08-24
2023-12-04
Hawai’i (field components) and global (synthetic components)
0
BCO-DMO catalogue of parameters from Vegetation surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/987478.rdf
Name: ImageName
Units: unitless
Description: <p>Image file name (see Vegetation_Photos.zip for images). Note, add the extension .png to the ImageName to get the complete filename.</p>
http://lod.bco-dmo.org/id/dataset-parameter/987479.rdf
Name: Date
Units: unitless
Description: <p>Survey date (ISO format)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987480.rdf
Name: Month
Units: unitless
Description: <p>Month of survey (numeric)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987481.rdf
Name: Year
Units: unitless
Description: <p>Year of survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/987482.rdf
Name: Day
Units: unitless
Description: <p>Day of survey (numeric day of month)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987483.rdf
Name: Reef
Units: unitless
Description: <p>Artificial reef number (R#)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987484.rdf
Name: Transect
Units: unitless
Description: <p>Transect number, 1-3 (T#)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987485.rdf
Name: DistanceTransect
Units: unitless
Description: <p>The distance from the central structure in cm. This is represented as a string range (for example '3.4-3.6')</p>
http://lod.bco-dmo.org/id/dataset-parameter/987486.rdf
Name: BinNumber
Units: unitless
Description: <p>Bin number, starting with 1 closest to the structure (B#)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987487.rdf
Name: NumberAlgae
Units: count
Description: <p>The number of random points landing on algae</p>
http://lod.bco-dmo.org/id/dataset-parameter/987488.rdf
Name: NumberSand
Units: count
Description: <p>The number of random points landing on sand</p>
http://lod.bco-dmo.org/id/dataset-parameter/987489.rdf
Name: QuadratSize
Units: unitless
Description: <p>The size of the quadrat (description), always 20x20 cm</p>
http://lod.bco-dmo.org/id/dataset-parameter/987490.rdf
Name: Notes
Units: unitless
Description: <p>Notes</p>
http://lod.bco-dmo.org/id/dataset-parameter/987491.rdf
Name: DominantVegetation
Units: unitless
Description: <p>The dominant vegetation type; only done for some photos and not used in this analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/987492.rdf
Name: Analyzer
Units: unitless
Description: <p>The name of the person who did the analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/987493.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/987494.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
341165
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/f712625b-506d-4a7e-b9ee-1a4a48d4beae/content
download
https://doi.org/10.26008/1912/bco-dmo.987227.1
download
onLine
dataset
<p>Surveys were conducted monthly from August 2022-December 2023. We recorded three 5-meter-long video transects, spaced evenly around the reef, starting from each of the three top-layer cinder blocks of the artificial reef, positioned perpendicularly to the cinder block and going outwards into the seagrass meadow. On each video transect, photos were taken continuously starting at the artificial reef. Each photo was imported into ImageJ (version 1.53t), where the scale was set based on a 10 cm measure on the transect, and then a virtual 20x20 cm quadrat was laid directly on the right side of the transect. Virtual quadrats were laid consecutively every 20 cm (e.g., a quadrat from each of 0-20 cm, 20-40 cm, 40-60 cm, etc.). Then, 20 random points were generated inside each distance bin and classified as sand or vegetation.&nbsp;<em>&nbsp;</em></p>
Specified by the Principal Investigator(s)
* The data table within the submitted file "vegetation_data.csv" (file uploaded 2025-11-21) was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values. Table will appear as Data File: 987227_v1_kaneohe-bay-halos-vegetation.csv (along with other download format options).
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
* Date column converted to consistent format (it contained different format styles, some of which were missing the day '23-Jul'). Full dates were reconstructed from the individual Year, Month, Day columns and all Dates conform to ISO 8601 format yyyy-mm-dd.
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Camera: Gopro Hero 10
Camera: Gopro Hero 10
PI Supplied Instrument Name: Camera: Gopro Hero 10 Instrument Name: Underwater Camera Instrument Short Name: Instrument Description: All types of photographic equipment that may be deployed underwater including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/180/