Skip to main content
Journal cover image

Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas.

Publication ,  Journal Article
Mannocci, L; Roberts, JJ; Miller, DL; Halpin, PN
Published in: Conservation biology : the journal of the Society for Conservation Biology
June 2017

As human activities expand beyond national jurisdictions to the high seas, there is an increasing need to consider anthropogenic impacts to species inhabiting these waters. The current scarcity of scientific observations of cetaceans in the high seas impedes the assessment of population-level impacts of these activities. We developed plausible density estimates to facilitate a quantitative assessment of anthropogenic impacts on cetacean populations in these waters. Our study region extended from a well-surveyed region within the U.S. Exclusive Economic Zone into a large region of the western North Atlantic sparsely surveyed for cetaceans. We modeled densities of 15 cetacean taxa with available line transect survey data and habitat covariates and extrapolated predictions to sparsely surveyed regions. We formulated models to reduce the extent of extrapolation beyond covariate ranges, and constrained them to model simple and generalizable relationships. To evaluate confidence in the predictions, we mapped where predictions were made outside sampled covariate ranges, examined alternate models, and compared predicted densities with maps of sightings from sources that could not be integrated into our models. Confidence levels in model results depended on the taxon and geographic area and highlighted the need for additional surveying in environmentally distinct areas. With application of necessary caution, our density estimates can inform management needs in the high seas, such as the quantification of potential cetacean interactions with military training exercises, shipping, fisheries, and deep-sea mining and be used to delineate areas of special biological significance in international waters. Our approach is generally applicable to other marine taxa and geographic regions for which management will be implemented but data are sparse.

Duke Scholars

Published In

Conservation biology : the journal of the Society for Conservation Biology

DOI

EISSN

1523-1739

ISSN

1523-1739

Publication Date

June 2017

Volume

31

Issue

3

Start / End Page

601 / 614

Related Subject Headings

  • Oceans and Seas
  • Humans
  • Fisheries
  • Ecosystem
  • Ecology
  • Conservation of Natural Resources
  • Cetacea
  • Animals
  • 4104 Environmental management
  • 3109 Zoology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Mannocci, L., Roberts, J. J., Miller, D. L., & Halpin, P. N. (2017). Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas. Conservation Biology : The Journal of the Society for Conservation Biology, 31(3), 601–614. https://doi.org/10.1111/cobi.12856
Mannocci, Laura, Jason J. Roberts, David L. Miller, and Patrick N. Halpin. “Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas.Conservation Biology : The Journal of the Society for Conservation Biology 31, no. 3 (June 2017): 601–14. https://doi.org/10.1111/cobi.12856.
Mannocci L, Roberts JJ, Miller DL, Halpin PN. Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas. Conservation biology : the journal of the Society for Conservation Biology. 2017 Jun;31(3):601–14.
Mannocci, Laura, et al. “Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas.Conservation Biology : The Journal of the Society for Conservation Biology, vol. 31, no. 3, June 2017, pp. 601–14. Epmc, doi:10.1111/cobi.12856.
Mannocci L, Roberts JJ, Miller DL, Halpin PN. Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas. Conservation biology : the journal of the Society for Conservation Biology. 2017 Jun;31(3):601–614.
Journal cover image

Published In

Conservation biology : the journal of the Society for Conservation Biology

DOI

EISSN

1523-1739

ISSN

1523-1739

Publication Date

June 2017

Volume

31

Issue

3

Start / End Page

601 / 614

Related Subject Headings

  • Oceans and Seas
  • Humans
  • Fisheries
  • Ecosystem
  • Ecology
  • Conservation of Natural Resources
  • Cetacea
  • Animals
  • 4104 Environmental management
  • 3109 Zoology