http://lod.bco-dmo.org/id/dataset/872990
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
2022-04-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Fish surveys following the construction of clusters of artificial reefs in shallow coastal waters off of Abaco, The Bahamas from May to December 2021
2022-05-16
publication
2022-05-16
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-11-04
publication
https://doi.org/10.26008/1912/bco-dmo.872990.1
Jacob Allgeier
University of Michigan
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: Allgeier, J. (2022) Fish surveys following the construction of clusters of artificial reefs in shallow coastal waters off of Abaco, The Bahamas from May to December 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-05-16 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.872990.1 [access date]
Methods and Sampling: <p>This dataset represents fish surveys from May to December 2021 following the construction of the clusters of artificial reefs in the Bight of Old Robinson, on Abaco, The Bahamas. There are three clusters, each with 9 artificial reefs all of which are spaced the same distance and each differs per cluster (1 meter, 3 meters, and 5 meters). Reefs were constructed in less than 4 meters of water.</p>
<p>An underwater visual census was employed to estimate fish abundance.&nbsp;Fish surveys were approximately 3-minute free dives on each reef at each cluster (12-15 minutes for each cluster survey). All fishes were identified to the lowest possible taxonomic level, and the size (total length) of each individual was estimated to the nearest centimeter.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1948622 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1948622
completed
Jacob Allgeier
University of Michigan
734-764-6797
1105 N University Ave
Ann Arbor
MI
48105
US
jeallg@umich.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Observer
Date_Local
Time_Local
ISO_DateTime_UTC
Assembly_day
Latitude
Longitude
Cluster
Reef
Species
Count
Total_length
Transient
Notes
theme
None, User defined
person name
date
time_local
ISO_DateTime_UTC
time_elapsed
latitude
longitude
Site_ID
species scientific name (binomial)
count
length
No BCO-DMO term
comments
featureType
BCO-DMO Standard Parameters
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.
Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem
https://osprey.bco-dmo.org/project/850018
Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem
<p>NSF Award Abstract:<br />
Tropical coastal marine ecosystems (e.g., coral reefs, seagrass beds, and mangroves) are among the most productive ecosystems in the world providing important services, such as fisheries, to millions of people. Despite this, they are also among the most impaired ecosystems, necessitating improved understanding of the mechanisms that underpin their productivity. This project seeks to understand the key factors that drive ecosystem production in a degraded coastal ecosystem in Haiti using artificial reefs. Past research has shown that artificial reefs have substantial potential to increase the number and diversity of plants and animals, but the extent to which this can be achieved at scales relevant to society remains unknown. This project is constructing clusters of artificial reefs to test how (1) spatial arrangement and (2) fishing pressure (fished/not fished) influence the productivity of seagrass, coral, and fish over the course of four years. The fishing treatment is being implemented through collaborations with local fishers whereby small-scale no-take zones are created around three of the six artificial reef clusters. A unique aspect of the research is that it capitalizes on the experimental design to simultaneously achieve an important conservation initiative, while testing ecological theory. Community engagement and outreach are integrated directly into the research and local fishers are being surveyed to assess the extent to which fishing occurred on any of the artificial reefs. This research represents a novel effort to integrate experimentation with cutting-edge community-based conservation initiatives in one of the most impoverished regions of the world. The project is improving strategies for conservation and reef management.</p>
<p>Identifying the factors that regulate the structure and function of ecosystems is a fundamental challenge for ecological theory and applied science. This challenge is often framed within the context of Top-Down (TD) versus Bottom-Up (BU) regulation, but the extent to which this framework can predict processes in complex, real-world ecosystems is not fully understood. It is now widely recognized that TD/BU factors do not act in isolation. For example, in many ecosystems, consumers contribute to both TD (via consumption) and BU (via excretion) pathways. Environmental factors, including human-induced change, can further alter the nature of these interactions. Quantifying the strength of TD and BU pathways and the extent to which they regulate the structure and function in highly dynamic ecosystems requires an experimental system that is sufficiently tractable that all its components can be quantified, while still being representative of real ecosystems. To address this challenge, this research project creates a unique ecosystem-scale artificial reef (AR) experiment in Haiti to test how two factors (AR structure, and fishing pressure) alter the strength of independent and interactive TD and BU pathways to regulate the structure and function of real-world reef ecosystems. Over the course of four years, the production of seagrass (surrounding the ARs), coral (transplanted onto the ARs), and fish (in and around the ARs) is being measured, providing a quantitative assessment of ecosystem-level production across the two treatments. Linear and structural equation models are used to measure the independent and interactive strengths TD and BU pathways, and to identify the suite of directional relationships between each trophic level that best predict overall ecosystem production. Harnessing the ability to use ecosystem-scale experiments and quantify production across all trophic levels in a highly complex, real-world system enables an unprecedented test of TD/BU theory.</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>
Reef Production Drivers
largerWorkCitation
project
eng; USA
biota
oceans
-77.0104
-77.0075
26.341
26.3465
2021-05-30
2021-12-10
Caribbean coastal ecosystems
0
BCO-DMO catalogue of parameters from Fish surveys following the construction of clusters of artificial reefs in shallow coastal waters off of Abaco, The Bahamas from May to December 2021
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/873104.rdf
Name: Observer
Units: unitless
Description: <p>initials of scientific observer (one observer:JEA)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873105.rdf
Name: Date_Local
Units: unitless
Description: <p>Date of observations in format YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/873106.rdf
Name: Time_Local
Units: unitless
Description: <p>Local Eastern Standard time of observation in format HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/873107.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Time in UTC of observation in format: YYYY-MM-DD HH:MM:SS</p>
http://lod.bco-dmo.org/id/dataset-parameter/873108.rdf
Name: Assembly_day
Units: unitless
Description: <p>Day 1, 3, 5, 7, 14, 21</p>
http://lod.bco-dmo.org/id/dataset-parameter/873109.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of sampling station North</p>
http://lod.bco-dmo.org/id/dataset-parameter/873110.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of sampling station East (West is negative)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873111.rdf
Name: Cluster
Units: unitless
Description: <p>Coral reef cluster (PN1, PN3, PN5)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873112.rdf
Name: Reef
Units: unitless
Description: <p>Identification of coral reef (reef ID: 2, 4, 6, 8)</p>
http://lod.bco-dmo.org/id/dataset-parameter/873113.rdf
Name: Species
Units: unitless
Description: <p>species common names</p>
http://lod.bco-dmo.org/id/dataset-parameter/873114.rdf
Name: Count
Units: unitless
Description: <p>abundance at each size</p>
http://lod.bco-dmo.org/id/dataset-parameter/873115.rdf
Name: Total_length
Units: centimeters
Description: <p>length of fish</p>
http://lod.bco-dmo.org/id/dataset-parameter/873116.rdf
Name: Transient
Units: unitless
Description: <p>binary Y/N to identify transient fish; 0 or blank means no fish was observed</p>
http://lod.bco-dmo.org/id/dataset-parameter/873117.rdf
Name: Notes
Units: unitless
Description: <p>notes from datasheet</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
75693
https://darchive.mblwhoilibrary.org/bitstream/1912/29470/1/dataset-872990_fish-surveys__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.872990.1
download
onLine
dataset
<p>This dataset represents fish surveys from May to December 2021 following the construction of the clusters of artificial reefs in the Bight of Old Robinson, on Abaco, The Bahamas. There are three clusters, each with 9 artificial reefs all of which are spaced the same distance and each differs per cluster (1 meter, 3 meters, and 5 meters). Reefs were constructed in less than 4 meters of water.</p>
<p>An underwater visual census was employed to estimate fish abundance.&nbsp;Fish surveys were approximately 3-minute free dives on each reef at each cluster (12-15 minutes for each cluster survey). All fishes were identified to the lowest possible taxonomic level, and the size (total length) of each individual was estimated to the nearest centimeter.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing:</strong><br />
Data have not been processed in any way and consist of only raw observational data.</p>
<p><strong>BCO-DMO processing description:</strong><br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions<br />
- Added a conventional header with dataset name, PI names, version date<br />
- Renamed column "Time" to "Time_Local", renamed "Date" to "Date_Local"<br />
- Converted dates to YYYY-MM-DD format and added ISO_DateTime_UTC field (ISO8601 format)<br />
&nbsp;</p>
Specified by the Principal Investigator(s)
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