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Assessment of habitat representation across a network of marine protected areas with implications for the spatial design of monitoring

Young, Mary and Carr, Mark 2015, Assessment of habitat representation across a network of marine protected areas with implications for the spatial design of monitoring, PLoS one, vol. 10, no. 3, Article number: e0116200, pp. 1-23, doi: 10.1371/journal.pone.0116200.

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Title Assessment of habitat representation across a network of marine protected areas with implications for the spatial design of monitoring
Author(s) Young, MaryORCID iD for Young, Mary orcid.org/0000-0001-7426-2343
Carr, Mark
Journal name PLoS one
Volume number 10
Issue number 3
Season Article number: e0116200
Start page 1
End page 23
Total pages 23
Publisher Public Library of Science (PLoS)
Place of publication San Francisco, Calif.
Publication date 2015
ISSN 1932-6203
Keyword(s) Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
ECOSYSTEM-BASED MANAGEMENT
REEF FISH ASSEMBLAGE
RIPPLED SCOUR DEPRESSIONS
BIOLOGICAL DIVERSITY
MULTIBEAM BATHYMETRY
CONTINENTAL-SHELF
RESERVE NETWORKS
CALIFORNIA
CONSERVATION
SEA
Summary Networks of marine protected areas (MPAs) are being adopted globally to protect ecosystems and supplement fisheries management. The state of California recently implemented a coast-wide network of MPAs, a statewide seafloor mapping program, and ecological characterizations of species and ecosystems targeted for protection by the network. The main goals of this study were to use these data to evaluate how well seafloor features, as proxies for habitats, are represented and replicated across an MPA network and how well ecological surveys representatively sampled fish habitats inside MPAs and adjacent reference sites. Seafloor data were classified into broad substrate categories (rock and sediment) and finer scale geomorphic classifications standard to marine classification schemes using surface analyses (slope, ruggedness, etc.) done on the digital elevation model derived from multibeam bathymetry data. These classifications were then used to evaluate the representation and replication of seafloor structure within the MPAs and across the ecological surveys. Both the broad substrate categories and the finer scale geomorphic features were proportionately represented for many of the classes with deviations of 1-6% and 0-7%, respectively. Within MPAs, however, representation of seafloor features differed markedly from original estimates, with differences ranging up to 28%. Seafloor structure in the biological monitoring design had mismatches between sampling in the MPAs and their corresponding reference sites and some seafloor structure classes were missed entirely. The geomorphic variables derived from multibeam bathymetry data for these analyses are known determinants of the distribution and abundance of marine species and for coastal marine biodiversity. Thus, analyses like those performed in this study can be a valuable initial method of evaluating and predicting the conservation value of MPAs across a regional network.
Language eng
DOI 10.1371/journal.pone.0116200
Field of Research 060205 Marine and Estuarine Ecology (incl Marine Ichthyology)
Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30073896

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.