Improving habitat models by incorporating pelagic measurements from coastal ocean observatories
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MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 447:15-30 (2012) - DOI: https://doi.org/10.3354/meps09496 Improving habitat models by incorporating pelagic measurements from coastal ocean observatories Laura Palamara1,*, John Manderson2, Josh Kohut1, Matthew J. Oliver3, Steven Gray4, John Goff5 1Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, New Jersey 08901, USA 2NOAA, National Marine Fisheries Service, Northeast Fisheries Science Center, Ecosystems Processes Division, James J. Howard Marine Sciences Laboratory, Highlands, New Jersey 07732, USA 3College of Earth, Ocean and Environment, University of Delaware, Lewes, Delaware 19958, USA 4Department of Natural Resources and Environmental Management, University of Hawaii, Honolulu, Hawaii 96822, USA 5Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, Austin, Texas 78758, USA *Email: palamara@marine.rutgers.edu ABSTRACT: As in all temperate coastal seas, habitats in the Mid-Atlantic Bight are spatially and temporally dynamic. Understanding how species respond to the dynamics of their environment is important for developing effective management strategies. In this study, we used canonical correspondence analysis (CCA) to determine habitat variables most important in explaining variation in fish and invertebrate communities sampled with bottom trawls. We also quantified the relative explanatory power of seabed habitat features, pelagic features measured in situ and pelagic features measured remotely, all of which can be used to explain species variability. Pelagic habitat features, most notably surface and bottom temperature and stratification, explained 76% of the community variation observed, compared with 40.9% explained by seabed features, mainly depth. Remotely sensed pelagic characteristics explained 46.9% of the variation that was accounted for and were redundant for features measured in situ; this suggests that remotely sensed features are representative of features measured in situ including certain subsurface features. Cross-shelf and seasonal variation in environmental variables were the major predictors of species distributions and accounted for 71.3% of the total explained community variation. We described the seasonal dynamics of important habitat gradients and the responses of species with different habitat requirements and geographic range distributions to those gradients. We argue that consideration of dynamic pelagic features in addition to slowly changing features is important. Dynamic approaches are necessary for effective management and ocean observing systems can be used to develop dynamic space-based management strategies. KEY WORDS: Habitat characteristics · Pelagic · Remote sensing · Spatial fisheries management · Canonical correspondence analysis · CCA · Mid-Atlantic Bight Full text in pdf format PreviousNextCite this article as: Palamara L, Manderson J, Kohut J, Oliver MJ, Gray S, Goff J (2012) Improving habitat models by incorporating pelagic measurements from coastal ocean observatories. Mar Ecol Prog Ser 447:15-30. https://doi.org/10.3354/meps09496 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 447. Online publication date: February 13, 2012 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2012 Inter-Research.
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- Authors
- Palamara, L., Manderson, J., Kohut, J., Oliver, M., Gray, S., & Goff, J.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- National Oceanic and Atmospheric Administration (US)
- University of Delaware (US)
- University of Hawaiʻi at Mānoa (US)
- University of Texas Institute for Geophysics (US)
- Corresponding author
- Palamara, L
- Venue
- Marine Ecology Progress Series
- Publisher
- Inter-Research Science Center
- Published
- 2012-02-13
- Volume
- 447
- Pages
- 15-30
- ISSN
- 0171-8630 (ISSN-L)
- 1616-1599
- OpenAlex
- W2332566142
- Semantic Scholar
- 083adeba24b7db3e12eeef7a565253f132d33749
- Cited by
- 12
- References
- 44
- Citations by year
- 2020: 1 · 2019: 1 · 2017: 2 · 2015: 1 · 2014: 4 · 2013: 3
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Marine Ecology Progress Series (publishedVersion)
- Funders
- National Aeronautics and Space Administration (NNH07ZDA001N)
- National Oceanic and Atmospheric Administration (NA11NOS0120038, NA10OAR4170084)
- Delaware Sea Grant, University of Delaware (NA10OAR4170084)
- National Marine Fisheries Service
- Northeast Fisheries Science Center
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Biology and Ecology Research
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- habitat models, coastal ocean observatory, Mid-Atlantic Bight, bottom trawl survey, sea surface temperature, bottom water temperature, water column stratification, seabed habitats, species distribution, seasonal dynamics, habitat gradient, benthic-pelagic coupling, fisheries management
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