Description from NSF award abstract:
The importance of fluxes across ecosystem boundaries is a characteristic of marine ecosystems that differentiates them from their terrestrial counterparts. From this viewpoint, any comparative analysis of marine ecosystems should address the patterns and degree of connectivity among ecosystems to be of highest utility. Here the investigators will conduct a suite of analyses that seek to quantify the sources, patterns and consequences of connectivity among 10 marine fishery ecosystems that together from the northwest Atlantic coastal shelf ecosystem. By conducting analyses in a hierarchical fashion with smaller ecosystems nested spatially within larger ecosystems they hope to identify scaling relationships in the ecological processes that characterize the dynamics of key species within these ecosystems. This work seeks to quantify the patterns and degree of connectivity among ecosystems in the Northwest Atlantic. Specifically, the investigators will conduct statistical analyses of empirical data from each ecosystem to quantify patterns in univariate, distribution and multivariate descriptors of their structure. They will also undertake time series analyses to describe relationships in the responses of different taxa and groups within each ecosystem. They will use the results of analyses conducted on the highly studied nearshore ecosystems as hypotheses to be tested on the somewhat sparser data of the offshore ecosystems. These analyses will delineate patterns of functional connectivity among ecosystems. They will also construct dynamic models of differing complexity to understand the principal consequences of the connectivity demonstrated in the first two objectives on ecosystem function. Models will include biomass dynamic and coupled predator-prey simulations that will consider the impacts of removals from the overall region globally and more specific patterns of localized spatial depletion.
Dataset | Latest Version Date | Current State |
---|---|---|
Data on commercial fishing catches (landings); part of the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
Species metadata associated with the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
Survey data from fishery independent surveys; part of the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
Ecosystem metadata associated with the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
Environmental data (atmospheric indices) associated with the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
Survey metadata associated with the NWACS CAMEO database | 2016-10-18 | Final no updates expected |
R computer code and associated data files for predator-prey simulation model (NW_AtlEcosysConnect project) | 2015-04-30 | Final no updates expected |
ADMB computer program for multispecies-biomass dynamics model (NW_AtlEcosysConnect project) | 2014-12-12 | Final with updates expected |
Lead Principal Investigator: Thomas Miller
University of Maryland Center for Environmental Science (UMCES/CBL)
Co-Principal Investigator: Jeremy Collie
University of Rhode Island (URI-GSO)
Co-Principal Investigator: Michael G. Frisk
Stony Brook University - SoMAS (SUNY-SB SoMAS)
Co-Principal Investigator: Robert J. Latour
Virginia Institute of Marine Science (VIMS)
Co-Principal Investigator: Jason S. Link
Northeast Fisheries Science Center - Woods Hole (NOAA NEFSC)
Co-Principal Investigator: Howard Townsend
National Centers for Coastal Ocean Science - Cooperative Oxford Laboratory (NOAA NCCOS COL)
Co-Principal Investigator: Michael Wilberg
University of Maryland Center for Environmental Science (UMCES/CBL)
Contact: Thomas Miller
University of Maryland Center for Environmental Science (UMCES/CBL)
Comparative Analysis of Marine Ecosystem Organization [CAMEO]
Data Management Plan received by BCO-DMO on 01 Dec 2014. (154.96 KB)
12/01/2014