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Annual and monthly time series of estimated kelp spore dispersal times among ROMS cells in southern California, 1996 – 2006

General Information
Data Package:
Local Identifier:knb-lter-sbc.158.2
Title:Annual and monthly time series of estimated kelp spore dispersal times among ROMS cells in southern California, 1996 – 2006
Alternate Identifier:DOI PLACE HOLDER
Abstract:

These data describe the estimated dispersal duration of spores of giant kelp, Macrocystis pyrifera, among connectivity cells in a high-resolution, three-dimensional, spatiotemporally-explicit ocean circulation model (Regional Oceanic Modeling System, ROMS) in southern California, USA, for an 11-year period from the beginning of 1996 to the end of 2006. Asymmetrical and dynamic estimates of giant kelp spore dispersal durations connecting source and destination ROMS cells were estimated on monthly and annual timescales using minimum mean transit times.

Short Name:Kelp spore dispersal times
Publication Date:2023-04-27
Language:English
For more information:
Visit: https://sbclter.msi.ucsb.edu/
Visit: DOI PLACE HOLDER

Time Period
Begin:
1996-01-01
End:
2006-12-31

People and Organizations
Contact:Information Manager, Santa Barbara Coastal LTER [  email ]
Organization:Santa Barbara Coastal LTER
Creator:Castorani, Max C. N. 
Creator:Siegel, David A 

Data Entities
Other Name:
Inter-cell dispersal times, 1996-2006 southern California
Description:
Dispersal (transport) time between ROMS cells in southern California, by year and month. This data file contains two three-dimensional matrices, both containing the average (over the time period) of the minimum mean duration of time for dispersal from the source cell to the recipient cell in the unit of days. The “annual” matrix is 135 x 135 x 11; the “monthly” matrix is 135 x 135 x 132. For both matrices, the 135 x 135 dimensions represent source and destination locations (ROMS cells). In the annual matrix, each of the 11 elements in the third dimension represent a year from 1996 to 2006 (inclusive). In the monthly matrix, each of the 132 elements in the third dimension represents a month during the same time period.
Other Name:
Centroids for the grid locations
Description:
This data file contains the centroids for each of the corresponding locations (135 dimensions) in the matrices in the units of decimal degrees of latitude and longitude (degrees north and degrees east, respectively).
Detailed Metadata

Data Entities

Non-Categorized Data Resource

Name:Inter-cell dispersal times, 1996-2006 southern California
Entity Type:otherEntity
Description:Dispersal (transport) time between ROMS cells in southern California, by year and month. This data file contains two three-dimensional matrices, both containing the average (over the time period) of the minimum mean duration of time for dispersal from the source cell to the recipient cell in the unit of days. The “annual” matrix is 135 x 135 x 11; the “monthly” matrix is 135 x 135 x 132. For both matrices, the 135 x 135 dimensions represent source and destination locations (ROMS cells). In the annual matrix, each of the 11 elements in the third dimension represent a year from 1996 to 2006 (inclusive). In the monthly matrix, each of the 132 elements in the third dimension represents a month during the same time period.
Physical Structure Description:
Object Name:OceanDistanceMatrices.mat
Size:18816056 byte
Authentication:f339e7cc8a705641eba0547bb4abfc4a Calculated By MD5
Externally Defined Format:
Format Name:MATLAB
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/158/2/d25c5467eda650474f8109725ae476e7

Non-Categorized Data Resource

Name:Centroids for the grid locations
Entity Type:otherEntity
Description:This data file contains the centroids for each of the corresponding locations (135 dimensions) in the matrices in the units of decimal degrees of latitude and longitude (degrees north and degrees east, respectively).
Physical Structure Description:
Object Name:site_centers.mat
Size:2377 byte
Authentication:7c9c54a883bab5f82f85024d759e8d9c Calculated By MD5
Externally Defined Format:
Format Name:MATLAB
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/158/2/69f2d0d99d9333f4d0ec638adfa28876

Data Package Usage Rights

This data package is released under the Creative Commons License Attribution 4.0 International (CC BY 4.0, see https://creativecommons.org/licenses/by/4.0/). This license states that consumers ("Data Users" herein) may distribute, adapt, reuse, remix, and build upon this work, as long as they give appropriate credit, provide a link to the license, and indicate if changes were made. If redistributed, a Data User may not apply additional restrictions or technological measures that prevent access.

The Data User has an ethical obligation to cite the data source appropriately in any publication or product that results from its use, and notify the data contact or creator. Communication, collaboration, or co-authorship (as appropriate) with the creators of this data package is encouraged to prevent duplicate research or publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplication or inappropriate use. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. This data package (with its components) is made available “as is” and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components.

Keywords

By Thesaurus:
SBC-LTER Controlled VocabularyPhysical Oceanography
Ecological Archivesgiant kelp
nonedemographic connectivity, dispersal, giant kelp, kelp forest, Macrocystis pyrifera, metapopulation, Moran effect, Regional Ocean Modeling System, ROMS modeling, spore

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Dispersal of giant kelp spores among patches was estimated with Lagrangian (water-following) particle simulations using solutions from a high-resolution (1 km horizontal), three-dimensional, spatiotemporally-explicit ocean circulation model (Regional Oceanic Modeling System, ROMS) of the Southern California Bight that was available from the beginning of 1996 to the end of 2006. Briefly, 63,000 particles were released every 12 h at 5–30 m depth from 135 approximately-rectangular nearshore ROMS connectivity cells. The resulting trajectories were used to estimate monthly water-parcel connectivity as the minimum mean transit time connecting source and destination ROMS cells (detailed methods in Mitarai et al. [2009] and Simons et al. [2013]). Additional details are available in Castorani et al. (2017). ROMS construction can be found in Shchepetkin and McWilliams (2005), Dong and McWilliams (2007), and Dong et al. (2009). ROMS validation can be found in Dong et al. (2009), Ohlmann and Mitarai (2010), and Buijsman et al. (2012).

 

Related references:

Buijsman, M. C., Y. Uchiyama, J. C. McWilliams, and C. R. Hill-Lindsay. 2012. Modeling semidiurnal internal tide variability in the Southern California Bight. Journal of Physical Oceanography 42:62–77.

Castorani, M.C.N., D.C. Reed, P.T. Raimondi, F. Alberto, T.W. Bell, K.C. Cavanaugh, D.A. Siegel, and R.D. Simons. 2017. Fluctuations in population fecundity drive variation in demographic connectivity and metapopulation dynamics. Proceedings of the Royal Society B: Biological Sciences 284(1847):20162086.

Dong, C., E. Idica, and J. McWilliams. 2009. Circulation and multiple-scale variability in the Southern California Bight. Progress in Oceanography 82:168–190.

Mitarai, S., D. A. Siegel, J. R. Watson, C. Dong, and J. C. McWilliams. 2009. Quantifying connectivity in the coastal ocean with application to the Southern California Bight. Journal of Geophysical Research 114:C10026.

Ohlmann, J. C., and S. Mitarai. 2010. Lagrangian assessment of simulated surface current dispersion in the coastal ocean. Geophysical Research Letters 37:L17602.

Shchepetkin, A. F., and J. C. McWilliams. 2005. The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Modelling 9:347–404.

Simons, R. D., D. A. Siegel, and K. S. Brown. 2013. Model sensitivity and robustness in the estimation of larval transport: a study of particle tracking parameters. Journal of Marine Systems 119–120:19–29

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Organization:Santa Barbara Coastal LTER
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106 USA
Email Address:
sbclter@msi.ucsb.edu
Individual: Max C. N. Castorani
Address:
Department of Environmental Sciences University of Virginia,
Charlottesville, VA 22904 US
Email Address:
castorani@virginia.edu
Id:https://orcid.org/0000-0002-7372-9359
Individual: David A Siegel
Address:
Earth Research Institute University of California,
Santa Barbara, CA 93106-3060 US
Phone:
805-893-4547
Email Address:
davesiegel@ucsb.edu
Id:https://orcid.org/0000-0003-1674-3055
Contacts:
Position:Information Manager, Santa Barbara Coastal LTER
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 2071 (voice)
Email Address:
sbclter@msi.ucsb.edu
Web Address:
https://sbclter.msi.ucsb.edu/

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1996-01-01
End:
2006-12-31
Geographic Region:
Description:Southern California: Southern California
Bounding Coordinates:
Northern:  34.6816Southern:  32.5490
Western:  -120.7095Eastern:  -117.1904

Project

Parent Project Information:

Title:Santa Barbara Coastal Long Term Ecological Research Project
Personnel:
Individual:Dr. Robert Miller
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 6174 (voice)
Email Address:
miller@msi.ucsb.edu
Role:Principal Investigator
Individual:Dr. Dan Reed
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 8363 (voice)
Email Address:
dan.reed@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. Adrian Stier
Address:
Department of Ecology, Evolution and Marine Biology,
University of California,
Santa Barbara, California 93106-9260 United States
Phone:
805 893 5467 (voice)
Email Address:
adrian.stier@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. Gretchen Hoffman
Address:
Department of Ecology, Evolution and Marine Biology,
University of California,
Santa Barbara, California 93106-9620 United States
Phone:
805 893 6175 (voice)
Email Address:
hofmann@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. David Siegel
Address:
Institute for Computational Earth System Science,
University of California,
Santa Barbara, California 93106-3060 United States
Phone:
805 893 4547 (voice)
Email Address:
davey@icess.ucsb.edu
Role:Co-principal Investigator
Abstract:

The Santa Barbara Coastal LTER (SBC LTER) is an interdisciplinary research and education program established in April 2000 with the goal of developing a predictive understanding of how environmental drivers interact with terrestrial and oceanic processes to alter material flows and influence the ecology of coastal ecosystems. SBC LTER's principal study domain is the semi-arid coast and nearshore waters of the Santa Barbara Channel in southern California, and its diverse and productive marine forests of giant kelp (Macrocystis pyrifera) serve as the focal study ecosystem. Analyses of our long-term data have identified many of the environmental drivers and ecological processes underlying the production and community dynamics of kelp forests. The research proposed to address this question is integrated in a conceptual framework that focuses on the causes and ecological consequences of the dynamics of a relatively short-lived foundation species in a setting of long-term climate change and human use.

Funding:

NSF Award OCE-1831937,OCE-2140335, OCE-2023555, OCE-2023523, OCE-2023474, OCE-1233839, OCE-1155813

Other Metadata

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