http://lod.bco-dmo.org/id/dataset/3657
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
2012-05-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Citation-based repository for knowledge of species in the kelp forest ecosystem of Central and Southern CA maintained by the Long Marine Lab at the University of California, Santa Cruz from 2010-2013
2012-05-15
publication
2012-05-15
revision
BCO-DMO Linked Data URI
2012-05-15
creation
http://lod.bco-dmo.org/id/dataset/3657
Mark Carr
University of California-Santa Cruz
principalInvestigator
Jennifer Caselle
University of California-Santa Barbara
principalInvestigator
James A. Estes
University of California-Santa Cruz
principalInvestigator
Philip S. Levin
Northwest Fisheries Science Center - Seattle
principalInvestigator
Tim Tinker
United States Geological Survey
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: Carr, M., Tinker, T., Levin, P. S., Caselle, J., Estes, J. A. (2012) Citation-based repository for knowledge of species in the kelp forest ecosystem of Central and Southern CA maintained by the Long Marine Lab at the University of California, Santa Cruz from 2010-2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 15 May 2012) Version Date 2012-05-15 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3657 [access date]
Citation-based repository for knowledge of species in kelp forest ecosystem of Central and Southern CA Dataset Description: <p>The CAMEO Kelp Forest Database is a citation-based repository for knowledge of the identities, life-histories, and interactions between the species present in the nearshore kelp forest ecosystems of the eastern Pacific, focusing in particular on central and southern California.At present the database consists of two parts: (i) The database-proper (a MySQL database housed on a server at UCSC) and (ii) an online interface to the database, accessible to anyone with an internet connection, built to permit multiple users to enter information into the database simultaneously.</p>
<p>To access the Kelp Forest Database, visit <a target="_blank" href="http://kelpforest.ucsc.edu/">http://kelpforest.ucsc.edu/</a> (Note: <b>At this point in time the online interface is designed only for manual data-entry.</b> The goal is to add batch-importing, data visualization, and data exporting utilities in the future.) Read/Write/Export access to the database interface currently requires user registration. Read-only access is available to anyone using a <a href="http://kelpforest.ucsc.edu/data-manual-entry/iii-logging-in/" target="_blank">visitor account</a>.</p> Methods and Sampling:
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1041454 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1041454
onGoing
Mark Carr
University of California-Santa Cruz
(831) 459-3958
Long Marine Laboratory University of California, Santa Cruz
Santa Cruz
CA
95060
USA
mhcarr@ucsc.edu
pointOfContact
Jennifer Caselle
University of California-Santa Barbara
(805) 893-5144
Marine Science Institute University of California, Santa Barbara
Santa Barbara
CA
93106
USA
caselle@msi.ucsb.edu
pointOfContact
James A. Estes
University of California-Santa Cruz
(831) 459-2820
Coastal Biology Building 130 McAllister Way
Santa Cruz
CA
95060
United States
jestes@ucsc.edu
pointOfContact
Philip S. Levin
Northwest Fisheries Science Center - Seattle
206-860-3473
Northwest Fisheries Science Center, Northwest Regional Office 2725 Montlake Blvd E
Seattle
WA
98112
USA
Phil.Levin@noaa.gov
pointOfContact
Tim Tinker
United States Geological Survey
(831) 459-2357
USGS Western Ecological Research Center Long Marine Laboratory
Santa Cruz
CA
95060
USA
ttinker@usgs.gov
pointOfContact
asNeeded
Dataset Version: 15 May 2012
Unknown
lab_UCSC_Carr
service
Deployment Activity
University of California, Santa Cruz
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.
Comparative Analysis of Marine Ecosystem Organization
http://www.nsf.gov/geo/oce/programs/CAMEO_Webpage.jsp
Comparative Analysis of Marine Ecosystem Organization
CAMEO Science Plan (2012).
The Comparative Analysis of Marine Ecosystem Organization (CAMEO) program was implemented as a partnership between the NOAA National Marine Fisheries Service and National Science Foundation Division of Ocean Sciences. The purpose of CAMEO was to strengthen the scientific basis for an ecosystem approach to the stewardship of our ocean and coastal living marine resources. The program supported fundamental research to understand complex dynamics controlling ecosystem structure, productivity, behavior, resilience, and population connectivity, as well as effects of climate variability and anthropogenic pressures on living marine resources and critical habitats. CAMEO encouraged the development of multiple approaches, such as ecosystem models and comparative analyses of managed and unmanaged areas (e.g., marine protected areas) that can ultimately form a basis for forecasting and decision support. Central to the program was the emphasis on collaborations between academic and private researchers and federal agency scientists with mission responsibilities to inform ecosystem management activities. (adapted from CAMEO website)
This funding opportunity implemented CAMEO research by supporting the development of research tools and strategic approaches through the following types of proposals:
1. Development of strategies and methodologies for comparative analyses that can be applied consistently across spatial and temporal scales and ecosystems, and that facilitate the design of decision support tools for marine populations, ecosystems and habitats.
2. Development of models that address key scientific questions by comparing ecosystems and ecosystem processes. Models that are geographically and temporally portable, and that incorporate assessment of modeling skill, are particularly encouraged.
3. Retrospective studies that analyze, re-analyze or synthesize existing information (historic, time-series, ongoing program, etc.) using a comparative approach.
4. Studies that integrate the human dimension within ecosystem dynamics. The CAMEO program seeks to promote interdisciplinary research using comparative approaches to link marine ecosystem research with the social and behavioral sciences in new and vital ways.
To guide program priorities, a Science Steering Committee was formed through Dr. Linda Deegan and the initial Scientific Planning Office at the Marine Biological Laboratory in Woods Hole, MA. This Committee was designed to provide scientific advice and broad direction to NOAA and NSF regarding the CAMEO program.
CAMEO
largerWorkCitation
program
CAMEO: Comparative Approaches to Predicting the Consequences of an Impending Re-Invasion: Top Predator Effects on Californian Near-Shore Fisheries
http://cameo.noaa.gov/pres_mcarr.html
CAMEO: Comparative Approaches to Predicting the Consequences of an Impending Re-Invasion: Top Predator Effects on Californian Near-Shore Fisheries
<p>This project will compare the structure and dynamics of central and southern Californian nearshore ecosystems by parameterizing and analyzing the performance of three approaches for modeling these areas. The goals are to develop analytical tools to facilitate ecosystem-based decision making and management, and to forecast how marine reserves and the impending re-invasion of sea otters to southern Californian waters will affect the region's fisheries. The investigators will synthesize and leverage an array of preexisting data from spatially-extensive, long-term monitoring efforts. Along with a time series on the range, density, and feeding habits of sea otters, community data from a network of MPAs and reference sites of known age will provide the large-scale observational experiments needed to disentangle the effects of sea otters and MPAs on the structure and dynamics of California's nearshore ecosystems and their fisheries. The results will be incorporated into three different modeling approaches.</p>
<p>By employing multiple modeling approaches, one can compare predictions for how the effects of MPAs and the impending re-invasion of sea otters will affect the productivity, dynamics, and resilience of these important communities. This work will result in (1) a set of analytical tools and effective and transferable ecosystem-based indicators to assess the status, thresholds and resiliency of nearshore temperate reef ecosystems; and (2) a collection of ecosystem-based predictions of short- and long-term community dynamics, including resiliency to environmental change and to commercially and recreationally valued kelp forest fisheries.</p>
<p>Affiliated Program: <a href="http://www.piscoweb.org/" target="_blank">PISCO </a></p>
SeaOtterReInv
largerWorkCitation
project
eng; USA
oceans
University of California, Santa Cruz
2012-05-15
Nearshore Eastern Pacific kelp forests
0
BCO-DMO catalogue of parameters from Citation-based repository for knowledge of species in the kelp forest ecosystem of Central and Southern CA maintained by the Long Marine Lab at the University of California, Santa Cruz from 2010-2013
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/3657/data/download
download
onLine
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: lab_UCSC_Carr
lab_UCSC_Carr
Long Marine Lab UCSC
Long Marine Lab UCSC
laboratory
Long Marine Lab UCSC
Long Marine Lab UCSC
laboratory