http://lod.bco-dmo.org/id/dataset/709963
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
2017-07-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project)
2017-08-05
publication
2017-08-05
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-20
publication
https://doi.org/10.1575/1912/bco-dmo.709963.1
Sally Holbrook
University of California-Santa Barbara
principalInvestigator
Dr Matthew Lauer
San Diego State University
principalInvestigator
Dr Andrew Rassweiler
University of California-Santa Barbara
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: Holbrook, S., Lauer, M., Rassweiler, A. (2017) Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-08-05 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.709963.1 [access date]
Weekly survey of fish sold by the roadside in Moorea, French Polynesia, 2014-2015 Dataset Description: <p>This dataset&nbsp;includes the results of a survey on fish sold by the roadside in&nbsp;Moorea, French Polynesia, administered in 2014-2015 at Papetoi, Haapiti, and Afareaitu.</p> Methods and Sampling: <p>Each Sunday morning from June 2014 through November 2015, an observer surveyed fish being sold along the roadside on the island of Moorea.&nbsp; On each survey date, the observer drove along the ring road which circles the islands along the shoreline, stopping to interview anyone selling fish by the road.&nbsp; With the permission of the seller, the observer photographed the fish for sale, which were typically presented on strings hanging from large racks. The observer also asked a series of questions to the seller about how the fish were caught.</p>
<p>Participation in this survey was voluntary, and so the catch reported here does not represent a complete sample of fish being sold by the roadside. A single observer performed all surveys, so a few Sundays in this period were not sampled because of logistical constraints</p>
<p>Fish in each photograph were identified to the highest taxonomic resolution possible, often to species but usually at least genus. The size of each fish was estimated by drawing a line from nose to tail and then comparing the length of that line to the length of a 0.5 m sizing bar that was included in each photograph. Image analyses were performed in the computer program “imageJ” (Rasband, NIH) and species identities and sizes have been merged together with the survey responses of the fish sellers in the data set provided.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1325652 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1325652
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1325554 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1325554
completed
Sally Holbrook
University of California-Santa Barbara
805-893-3956
Ecology, Evolution and Marine Biology MSRB, Room 3316
Santa Barbara
CA
93106-9620
USA
holbrook@lifesci.ucsb.edu
pointOfContact
Dr Matthew Lauer
San Diego State University
5250 Campanile Drive
San Diego
CA
92182
USA
mlauer@mail.sdsu.edu
pointOfContact
Dr Andrew Rassweiler
University of California-Santa Barbara
Department of Biological Science 319 Stadium Dr.
Tallahassee
FL
32304
USA
rassweiler@bio.fsu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
survey_event
date
genus
species
length
location_sold
location_caught
habitat_caught
gear_1
gear_2
gear_3
boat_type
motor
crew
departure_time
hours_fishing
is_seller_the_fisher
gender
average_fishing_days_per_week
theme
None, User defined
event code
date
genus
species scientific name (binomial)
length
region
site description
sampling_method
brief description
No BCO-DMO term
time of day
duration
days
featureType
BCO-DMO Standard Parameters
Lauer_2014
service
Deployment Activity
towns on Moorea, French Polynesia
place
Locations
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.
Coastal SEES (Science, Engineering and Education for Sustainability NSF-Wide Investment)
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504816
Coastal SEES (Science, Engineering and Education for Sustainability NSF-Wide Investment)
Coastal SEES is focused on the sustainability of coastal systems. For the most recent solicitation, NSF defines coastal systems as the swath of land closely connected to the sea, including barrier islands, wetlands, mudflats, beaches, estuaries, cities, towns, recreational areas, and maritime facilities; the continental seas and shelves; and the overlying atmosphere.
Humans benefit from their use of coastal environments for enjoyment, dwelling, food, industry, and commerce, and benefit from the myriad of ecosystem services that coastal environments provide. However, human activities often result in physical, chemical, and ecological alterations that influence and interact with natural state and variability, over a range of spatial and temporal scales. A major challenge is to understand the dynamics of this coupled human-natural system in order to inform societal decisions about the uses of coastal systems, including for economic, aesthetic, recreational, research, and conservation purposes.
Scientific understanding is foundational and must include an understanding of reciprocal feedbacks between humans and the natural environment; how people and organizations interpret, assess, and act upon scientific and other evidence; and how they weigh these interpretations against other interests to influence governance and decision-making. Thus, coastal sustainability relies on broad and intimately interconnected areas of scholarship about natural and human processes. Coastal SEES projects will be expected to lead to generalizable theoretical advances in natural sciences and engineering while, at the same time, integrating key aspects of human processes required to address issues of coastal sustainability.
Detailed information about the SEES program is available from NSF (http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504707).
Coastal SEES
largerWorkCitation
program
Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems
http://lauer.sdsu.edu/sees/index.html
Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems
<p><em>Description from NSF award abstract:</em><br />
This project will assess resilience in a coral reef social-ecological system. Over the last several decades, reefs around the Pacific island of Mo'orea, French Polynesia, have consistently reassembled to coral dominance after being impacted by major perturbations. Resilience to disturbance is a key component of coastal sustainability, as it maintains the reefs in a state capable of providing critical ecosystem services. The resilience of reefs in Mo'orea is particularly striking, given that coral reefs in many regions have experienced abrupt and potentially irreversible shifts from a coral dominated state, with complex structure and a rich fish community, to a macroalgae dominated state with fewer fish. This project will contribute to more sustainable management of coral reefs by identifying pathways that confer resilience, highlighting emerging vulnerabilities, and suggesting policy initiatives in areas such as integrated coastal zone management and sustainable development planning. An integrative social and natural science approach will be employed that addresses place-based questions about resilience, sustainability and adaptive capacity of coastal systems. A framework will be developed for addressing more complex questions about the Moorea social-ecological system, and this will provide a model for the integration of ecology and social science in other coastal systems. Research results will be disseminated broadly through stakeholder workshops, and graduate students will be engaged in all aspects of the work.</p>
<p>While the dynamics of state shifts are fundamental to understanding the resilience and long-term sustainability of coral reef social-ecological systems, the interplay between anthropogenic and ecological feedbacks is poorly understood in these systems. Systems with high population densities, widespread coastal development and intense resource exploitation typically show declines in the critical adaptive capacities that underpin resilience to local environmental variability. However, Moorea has maintained its resilience despite rapid development. This project will explore how the complex feedbacks in the Mo'orea coral reef social-ecological system maintain its capacity to withstand large-scale ecological disturbances. The study will involve interdisciplinary collaboration between social and natural scientists. Anthropological fieldwork focusing on the human dimensions of coral reef use, traditional governance, and indigenous ecological knowledge, will document how local communities perceive, respond to, and manage changes in ecosystem state. Ecological models will describe the dynamics of coral, algal and fish communities, including the feedbacks that make these communities susceptible to abrupt shifts in ecosystem state. These components will be integrated in a systems modeling framework that includes feedbacks both within and between the human and natural communities, quantitatively modeling how humans change their behavior as a function of ecosystem state and how the ecosystem is affected in turn by human activities. A key objective is to bridge the gap between data collected by social scientists and the dynamic ecosystem models developed by ecologists, as this is crucial to understanding the resilience and long-term sustainability of coastal social-ecological systems worldwide.</p>
<p>This project is supported under NSF's Coastal SEES (Science, Engineering and Education for Sustainability) program.</p>
Coral reef fishery
largerWorkCitation
project
eng; USA
oceans
towns on Moorea, French Polynesia
-149.842572
-149.842572
-17.481373
-17.481373
2014-06-15
2015-11-22
Moorea, French Polynesia; 17S, 150W
0
BCO-DMO catalogue of parameters from Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery 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
http://lod.bco-dmo.org/id/dataset-parameter/709977.rdf
Name: survey_event
Units: unitless
Description: <p>Serial number identifying the survey event (a rack of fish being photographed on a particular day</p>
http://lod.bco-dmo.org/id/dataset-parameter/709978.rdf
Name: date
Units: unitless
Description: <p>Date of sampling event; YYYY/MM/DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/709979.rdf
Name: genus
Units: unitless
Description: <p>Genus of fish observed; Some fish were identified only to family. In such cases the family name was entered in the genus column with the suffix _fam. So Carangidae_fam indicates the fish was in the family Carangidae but the genus could not be identified from the photo. Some fish could only be identified as one of two or more genera. In these cases the following codes were used: Acan_Cten = either Acanthurus or Ctenochaetus; Calo_Scar = either Calotomus or Scarus; Chlor_Scar = either Chlorurus or Scarus</p>
http://lod.bco-dmo.org/id/dataset-parameter/709980.rdf
Name: species
Units: unitless
Description: <p>Species of fish observed (or "unidentified if species unknown")</p>
http://lod.bco-dmo.org/id/dataset-parameter/709981.rdf
Name: length
Units: centimeters
Description: <p>Length of fish (nose to tail) in cm. Blank cells indicate that length could not be obtained (typically because the fish was obscured)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709982.rdf
Name: location_sold
Units: unitless
Description: <p>The location of the seller (Community within the island of Morea)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709983.rdf
Name: location_caught
Units: unitless
Description: <p>The location of the seller reports the fish were caught</p>
http://lod.bco-dmo.org/id/dataset-parameter/709984.rdf
Name: habitat_caught
Units: unitless
Description: <p>The primary habitat in which the seller reports the fish were caught</p>
http://lod.bco-dmo.org/id/dataset-parameter/709985.rdf
Name: gear_1
Units: unitless
Description: <p>Primary gear used in fishing</p>
http://lod.bco-dmo.org/id/dataset-parameter/709986.rdf
Name: gear_2
Units: unitless
Description: <p>Additional gear used (if any)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709987.rdf
Name: gear_3
Units: unitless
Description: <p>Additional gear used (if any)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709988.rdf
Name: boat_type
Units: unitless
Description: <p>Boat type</p>
http://lod.bco-dmo.org/id/dataset-parameter/709989.rdf
Name: motor
Units: unitless
Description: <p>Does the boat have a motor? (Y/N)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709990.rdf
Name: crew
Units: unitless
Description: <p>Number of crew on the fishing trip</p>
http://lod.bco-dmo.org/id/dataset-parameter/709991.rdf
Name: departure_time
Units: unitless
Description: <p>Time fishing started; HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/709992.rdf
Name: hours_fishing
Units: hours
Description: <p>Duration of fishing</p>
http://lod.bco-dmo.org/id/dataset-parameter/709993.rdf
Name: is_seller_the_fisher
Units: unitless
Description: <p>Identifies whether the person being interviewed caught the fish (Y/N)</p>
http://lod.bco-dmo.org/id/dataset-parameter/709994.rdf
Name: gender
Units: unitless
Description: <p>Gender of seller</p>
http://lod.bco-dmo.org/id/dataset-parameter/709995.rdf
Name: average_fishing_days_per_week
Units: days
Description: <p>Days the seller reports fishing per week on average</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
1294075
https://darchive.mblwhoilibrary.org/bitstream/1912/23895/1/dataset-709963_fish-roadside-surveys-2014-2015__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.709963.1
download
onLine
dataset
<p>Each Sunday morning from June 2014 through November 2015, an observer surveyed fish being sold along the roadside on the island of Moorea.&nbsp; On each survey date, the observer drove along the ring road which circles the islands along the shoreline, stopping to interview anyone selling fish by the road.&nbsp; With the permission of the seller, the observer photographed the fish for sale, which were typically presented on strings hanging from large racks. The observer also asked a series of questions to the seller about how the fish were caught.</p>
<p>Participation in this survey was voluntary, and so the catch reported here does not represent a complete sample of fish being sold by the roadside. A single observer performed all surveys, so a few Sundays in this period were not sampled because of logistical constraints</p>
<p>Fish in each photograph were identified to the highest taxonomic resolution possible, often to species but usually at least genus. The size of each fish was estimated by drawing a line from nose to tail and then comparing the length of that line to the length of a 0.5 m sizing bar that was included in each photograph. Image analyses were performed in the computer program “imageJ” (Rasband, NIH) and species identities and sizes have been merged together with the survey responses of the fish sellers in the data set provided.</p>
Specified by the Principal Investigator(s)
<p>Data have been inspected and outliers checked. The location_sold variable has been standardized to the level of an administrative commune (location_caught remains in the form that the seller reported it).&nbsp; Fish that could not be identified at least to family have been omitted from the data.</p>
<p><strong>BCO-DMO Processing notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- replaced blank cells with nd (no data)<br />
- removed apostrophes and replaced spaces with underscores<br />
- converted date format from mm/dd/yy to yyyy/mm/dd</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
Deployment: Lauer_2014
Lauer_2014
Moorea
island
Lauer_2014
Dr Matthew Lauer
University of California-Santa Barbara
Moorea
island