http://lod.bco-dmo.org/id/dataset/676105
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
2017-01-24
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Coral reef fishery household survey, Moorea, French Polynesia, 2014-2015
2017-01-30
publication
2017-01-30
revision
BCO-DMO Linked Data URI
2017-01-30
creation
http://lod.bco-dmo.org/id/dataset/676105
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., Rassweiler, A., Lauer, M. (2017) Coral reef fishery household survey, Moorea, French Polynesia, 2014-2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2017-01-30 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/676105 [access date]
Coral reef fishery household survey Dataset Description: <p>This dataset&nbsp;includes the results of a survey on household fishing in&nbsp;Moorea, French Polynesia, administered in 2014-2015 at Papetoi, Haapiti, and Afareaitu.&nbsp;Results are separated by district;&nbsp;both totals and total percentages are given.</p> Methods and Sampling: <p>Approximately 20% of household were randomly sampled in each of the three districts: Papetoi, Haapiti, and Afareaitu.<br />
Survey responses were aggregated (summed) by district and percentages were calculated</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
Unknown
table
table_title
response
Afareaitu
Papetoai
S_Haapiti
total
total_percent
theme
None, User defined
No BCO-DMO term
site
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
biota
oceans
towns on Moorea, French Polynesia
2017-01-30
Moorea, French Polynesia; 17S, 150W
0
BCO-DMO catalogue of parameters from Coral reef fishery household survey, Moorea, French Polynesia, 2014-2015
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/676124.rdf
Name: table
Units: unitless
Description: <p>table number</p>
http://lod.bco-dmo.org/id/dataset-parameter/676125.rdf
Name: table_title
Units: unitless
Description: <p>title of table; the statement or question posed in the survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/676126.rdf
Name: response
Units: unitless
Description: <p>possible responses to statement/question</p>
http://lod.bco-dmo.org/id/dataset-parameter/676127.rdf
Name: Afareaitu
Units: unitless
Description: <p>district on Moorea</p>
http://lod.bco-dmo.org/id/dataset-parameter/676128.rdf
Name: Papetoai
Units: unitless
Description: <p>district on Moorea</p>
http://lod.bco-dmo.org/id/dataset-parameter/676129.rdf
Name: S_Haapiti
Units: unitless
Description: <p>district on Moorea</p>
http://lod.bco-dmo.org/id/dataset-parameter/676130.rdf
Name: total
Units: unitless
Description: <p>total responses</p>
http://lod.bco-dmo.org/id/dataset-parameter/676131.rdf
Name: total_percent
Units: unitless
Description: <p>percent of total responses</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
101974
https://datadocs.bco-dmo.org/file/vmmwygYHEvw3pl/survey.csv
survey.csv
Primary data file for dataset ID 676105
download
https://osprey.bco-dmo.org/dataset/676105/data/download
download
onLine
dataset
<p>Approximately 20% of household were randomly sampled in each of the three districts: Papetoi, Haapiti, and Afareaitu.<br />
Survey responses were aggregated (summed) by district and percentages were calculated</p>
Specified by the Principal Investigator(s)
<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 />
- reformatted data to a flat file: added columns for table and table_title<br />
- replaced blank cells with nd (no data) except in 'total' column, where the single column to left was duplicated and at the bottom of the 'total_percent' column where a hyphen was inserted.<br />
- replaced N/A with nd (no data)<br />
- removed apostrophes</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