http://lod.bco-dmo.org/id/dataset/922248
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
2024-03-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Species density from Braun-Blanquet seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022
2024-03-14
publication
2024-03-14
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-04-26
publication
https://doi.org/10.26008/1912/bco-dmo.922248.1
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., Munsterman, K. (2024) Species density from Braun-Blanquet seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-03-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.922248.1 [access date]
Dataset Description: <p>See "Related Datasets" section for access to data and metadata from other datasets from the same surveys.</p> Methods and Sampling: <p>At each distance from the reef a 1x1m quadrate was placed over the seagrass bed. The percent cover was then assessed for all species present (often for the macroalgae we were only able to identify to the genus-level). Braun-Blanquet survey method, density codes are as follows: 0.1 = single individual is present, 0.5 = multiple individuals are present but &lt; 10%, 1 = 10-20% cover, 2= 20-40% cover, 3= 40-60% cover, 4= 60-80% cover, 5= 80-100% cover.</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
date
obs
cluster
cluster_lat
cluster_lon
reef
transect
distance
Thalassia
Syringodium
Penicillus
Halimeda
Laurencia
Rhiphocephalus
Udotea
Sponge
Avrainvillia
Bataphora
Acetabularia
Dictyosphaeria
Valonia
Jania
unknown_species_1
unknown_species_2
unknown_species_3
Heterosiphonia
Porites
Halidule
Turf
Cyanobacteria
Caulerpa
other
animals
notes
theme
None, User defined
date
person name
site
latitude
longitude
site description
transect
sample description
proportion_cover
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
oceans
-77.62688
-77.00752
26.341
26.91192
2022-05-14
2022-05-26
Caribbean coastal ecosystems
0
BCO-DMO catalogue of parameters from Species density from Braun-Blanquet seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022
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/922277.rdf
Name: date
Units: unitless
Description: <p>data survey was conducted</p>
http://lod.bco-dmo.org/id/dataset-parameter/922278.rdf
Name: obs
Units: unitless
Description: <p>observer</p>
http://lod.bco-dmo.org/id/dataset-parameter/922279.rdf
Name: cluster
Units: unitless
Description: <p>unique cluster ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/922280.rdf
Name: cluster_lat
Units: decimal degrees
Description: <p>latitude of cluster location</p>
http://lod.bco-dmo.org/id/dataset-parameter/922281.rdf
Name: cluster_lon
Units: decimal degrees
Description: <p>longitude of cluster location</p>
http://lod.bco-dmo.org/id/dataset-parameter/922282.rdf
Name: reef
Units: unitless
Description: <p>unique reef ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/922283.rdf
Name: transect
Units: unitless
Description: <p>Transect identifier (A, B, C, D)</p>
http://lod.bco-dmo.org/id/dataset-parameter/922284.rdf
Name: distance
Units: meters (m)
Description: <p>distance from the reef</p>
http://lod.bco-dmo.org/id/dataset-parameter/922285.rdf
Name: Thalassia
Units: unitless
Description: <p>Thalassia values are either 0.1 (single individual), 0.5 (< 0.1 proportion coverage), 1 (0.1-0.2), 2 (0.2-0.4), 3 (0.4-0.6), 4 (0.6-0.8), 5 (0.8-1.0). </p>
http://lod.bco-dmo.org/id/dataset-parameter/922286.rdf
Name: Syringodium
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Syringodium'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922287.rdf
Name: Penicillus
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Penicillus'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922288.rdf
Name: Halimeda
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Halimeda'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922289.rdf
Name: Laurencia
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Laurencia'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922290.rdf
Name: Rhiphocephalus
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Rhiphocephalus'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922291.rdf
Name: Udotea
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Udotea'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922292.rdf
Name: Sponge
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Sponge'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922293.rdf
Name: Avrainvillia
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Avrainvillia'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922294.rdf
Name: Bataphora
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Bataphora'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922295.rdf
Name: Acetabularia
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Acetabularia'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922296.rdf
Name: Dictyosphaeria
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Dictyosphaeria'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922297.rdf
Name: Valonia
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Valonia'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922298.rdf
Name: Jania
Units: unitless
Description: <p>Proportion (0-1) of sample that was covered by category 'Jania'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922299.rdf
Name: unknown_species_1
Units: unitless
Description: <p>Proportion (0-1) of sample area that was covered by category 'unknown_species_1', a consistently identified species of which the classification is unknown. Described as "green stringy." See Methods and Sampling section for more details. </p>
http://lod.bco-dmo.org/id/dataset-parameter/922300.rdf
Name: unknown_species_2
Units: unitless
Description: <p>Proportion (0-1) of sample area that was covered by category 'unknown_species_2', a consistently identified species of which the classification is unknown. Described as "fuzzy green finger." See Methods and Sampling section for more details. </p>
http://lod.bco-dmo.org/id/dataset-parameter/922301.rdf
Name: unknown_species_3
Units: unitless
Description: <p>Proportion (0-1) of sample area that was covered by category 'unknown_species_3', a consistently identified species of which the classification is unknown. Described as "soft brown stick." See Methods and Sampling section for more details. </p>
http://lod.bco-dmo.org/id/dataset-parameter/922302.rdf
Name: Heterosiphonia
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Heterosiphonia'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922303.rdf
Name: Porites
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Porites'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922304.rdf
Name: Halidule
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Halidule'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922305.rdf
Name: Turf
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Turf'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922306.rdf
Name: Cyanobacteria
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Cyanobacteria'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922307.rdf
Name: Caulerpa
Units: unitless
Description: <p>Proportion (0-1) of sample that is covered by category 'Caulerpa'. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922308.rdf
Name: other
Units: unitless
Description: <p>Proportion (0-1) of proportion of sample area that is covered by an organism that does not have its own column. See Methods and Sampling section for more details.</p>
http://lod.bco-dmo.org/id/dataset-parameter/922309.rdf
Name: animals
Units: unitless
Description: <p>description of the animal. The ID and the count of individual animals in the quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/922310.rdf
Name: notes
Units: unitless
Description: <p>notes from datasheet, etc.</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
27517
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/9b6352a6-84f8-44bf-a81a-0a79d68770ab/content
download
https://doi.org/10.26008/1912/bco-dmo.922248.1
download
onLine
dataset
<p>At each distance from the reef a 1x1m quadrate was placed over the seagrass bed. The percent cover was then assessed for all species present (often for the macroalgae we were only able to identify to the genus-level). Braun-Blanquet survey method, density codes are as follows: 0.1 = single individual is present, 0.5 = multiple individuals are present but &lt; 10%, 1 = 10-20% cover, 2= 20-40% cover, 3= 40-60% cover, 4= 60-80% cover, 5= 80-100% cover.</p>
Specified by the Principal Investigator(s)
* Sheet 1 in the submitted file BBSurveys2022_FinalNSF.xlsx (submitted to BCO-DMO 2024-04-18) was imported into the BCO-DMO data system for this dataset with values N/A as the missing data identifier.
* 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]
* Date converted to ISO 8601 format
* Note: These data include currently unaccepted synonyms of the accepted taxon names. The supplemental file fish_and_invert_species_list.csv which includes names and identifiers for both the names used in the dataset and the equivalent currently accepted names (as of 2024-02-26).
* Reef cluster site list added from information in related dataset file FishSurveys2022_FinalNSF.xlsx
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