http://lod.bco-dmo.org/id/dataset/662367
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
2016-10-24
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea (Metapopulation Connectivity project)
2016-10-24
publication
2016-10-24
revision
BCO-DMO Linked Data URI
2016-10-24
creation
http://lod.bco-dmo.org/id/dataset/662367
Rubao Ji
Woods Hole Oceanographic Institution
principalInvestigator
Julie Kellner
Woods Hole Oceanographic Institution
principalInvestigator
Michael G. Neubert
Woods Hole Oceanographic Institution
principalInvestigator
Simon Thorrold
Woods Hole Oceanographic Institution
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
documentDigital
Cite this dataset as: Ji, R., Kellner, J., Thorrold, S., Neubert, M. G. (2016) Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea (Metapopulation Connectivity project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 24 October 2016) Version Date 2016-10-24 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/662367 [access date]
Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea Dataset Description: <p>The model data were generated by a coupled hydrodynamic and Lagrangian particle tracking model in order to examine metapopulation connectivity of coral reefs in Kimbe Bay, Papua New Guinea.</p>
<p>Data are currently available from the project's THREDDS server: <a href="http://delmar.whoi.edu:8080/thredds/catalog/default/kimbe/catalog.html" target="_blank">http://delmar.whoi.edu:8080/thredds/catalog/default/kimbe/catalog.html</a></p> Methods and Sampling: <p>The model data were generated by a coupled hydrodynamic and Lagrangian particle tracking model in order to examine metapopulation connectivity of coral reefs in Kimbe Bay, Papua New Guinea. The individual-based particle-tracking model was driven by flow fields derived from a high-resolution hydrodynamic model (Finite Volume Community Ocean Model, FVCOM) constructed for the study area. Spatial and temporal patterns of connectivity were computed using multiple simulations representative of coral reef organisms to examine the role of pelagic larval duration, timing of spawning, vertical positioning in the water column and natal location.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1031256 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1031256
onGoing
Rubao Ji
Woods Hole Oceanographic Institution
508 289 2986
266 Woods Hole Rd. MS# 33, Redfield 2-14
Woods Hole
MA
02543
United States
rji@whoi.edu
pointOfContact
Julie Kellner
Woods Hole Oceanographic Institution
508-289-2408
266 Woods Hole Rd. Redfield (MS# 34)
Woods Hole
Massachusetts
02543
United States
jkellner@whoi.edu
pointOfContact
Michael G. Neubert
Woods Hole Oceanographic Institution
5082892962
266 Woods Hole Rd. Redfield 1-16 (MS# 34)
Woods Hole
Massachusetts
02543
United States
mneubert@whoi.edu
pointOfContact
Simon Thorrold
Woods Hole Oceanographic Institution
508-289-3366
266 Woods Hole Rd, MS #50
Woods Hole
MA
02543
USA
sthorrold@whoi.edu
pointOfContact
asNeeded
Dataset Version: 24 October 2016
Unknown
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.
Marine Metapopulation Connectivity: Modeling, Estimation and Demographic Consequences
https://osprey.bco-dmo.org/project/521590
Marine Metapopulation Connectivity: Modeling, Estimation and Demographic Consequences
<p><em>Extracted from the NSF award abstract:</em></p>
<p>The goal of this project is to develop a tractable modeling framework for estimating marine metapopulation connectivity and its demographic consequences. This will be achieved using a multifaceted approach which draws upon gravity, demographic, and biological/hydrodynamic coupled models. The objectives are to: (1) Determine reliable predictors of population connectivity from a range of habitat and oceanographic metrics that influence larval dispersal and settlement. The predictive ability of these metrics will be assessed through the development of gravity models which incorporate both natal and settlement site attributes as well as "distance" functions derived from habitat distributions and biological-hydrodynamic coupled models which describe how dispersal probability declines with travel time. (2) Evaluate the robustness of these predictors and different forms of the gravity model at various temporal and spatial scales to examine their suitability for a range of marine metapopulations. (3) Develop matrix metapopulation models to improve understanding of how physical oceanographic processes and dispersal behavior influence the dynamics and spatial connectivity of marine metapopulations. Extensive research of spatial recruitment patterns across a no-take marine reserve network in Kimbe Bay, Papua New Guinea, will provide the empirical data to develop and evaluate a modeling framework for estimating metapopulation connectivity in marine communities where direct estimation of larval dispersal and settlement patterns remains intangible. These efforts will be guided by DNA parentage and trans-generational isotope labeling research of two coral reef fishes with different life histories and habitat usage. These datasets represent the most spatially expansive analysis of recruitment patterns to date and will allow evaluation of modeling approaches across multiple spatial and temporal scales to create a general modeling framework which is both empirically relevant and adaptable to other marine metapopulations with less a priori knowledge of population connectivity.</p>
Metapopulation Connectivity
largerWorkCitation
project
eng; USA
oceans
2016-10-24
0
BCO-DMO catalogue of parameters from Data associated with a connectivity modeling study in Kimbe Bay, Papua New Guinea (Metapopulation Connectivity 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
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
https://osprey.bco-dmo.org/dataset/662367/data/download
download
onLine
dataset
<p>The model data were generated by a coupled hydrodynamic and Lagrangian particle tracking model in order to examine metapopulation connectivity of coral reefs in Kimbe Bay, Papua New Guinea. The individual-based particle-tracking model was driven by flow fields derived from a high-resolution hydrodynamic model (Finite Volume Community Ocean Model, FVCOM) constructed for the study area. Spatial and temporal patterns of connectivity were computed using multiple simulations representative of coral reef organisms to examine the role of pelagic larval duration, timing of spawning, vertical positioning in the water column and natal location.</p>
Specified by the Principal Investigator(s)
<p>No additional processing was done except for extracting information from NetCDF files for plotting purposes.&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