Predictive habitat modelling of humpback (Megaptera novaeangliae) and Antarctic minke (Balaenoptera bonaerensis) whales in the Southern Ocean as a planning tool for seismic surveys

Annette Bombosch, Daniel P. Zitterbart, Use Van Opzeeland, Stephan Frickenhaus, Elke Burkhardt, Mary S. Wisz, Olaf Boebel

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Seismic surveys are frequently a matter of concern regarding their potentially negative impacts on marine mammals. In the Southern Ocean, which provides a critical habitat for several endangered cetacean species, seismic research activities are undertaken at a circumpolar scale. In order to minimize impacts of these surveys, pre-cruise planning requires detailed, spatio-temporally resolved knowledge on the likelihood of encountering these species in the survey area. In this publication we present predictive habitat modelling as a potential tool to support decisions for survey planning. We associated opportunistic sightings (2005-2011) of humpback (Megaptera novaeangliae, N=93) and Antarctic minke whales (Balaenoptera bonaerensis, N=139) with a range of static and dynamic environmental variables. A maximum entropy algorithm (Maxent) was used to develop habitat models and to calculate daily basinwide/circumpolar prediction maps to evaluate how species-specific habitat conditions evolved throughout the spring and summer months. For both species, prediction maps revealed considerable changes in habitat suitability throughout the season. Suitable humpback whale habitat occurred predominantly in ice-free areas, expanding southwards with the retreating sea ice edge, whereas suitable Antarctic minke whale habitat was consistently predicted within sea ice covered areas. Daily, large-scale prediction maps provide a valuable tool to design layout and timing of seismic surveys as they allow the identification and consideration of potential spatio-temporal hotspots to minimize potential impacts of seismic surveys on Antarctic cetacean species. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Original languageEnglish
JournalCurrent Biology
Volume91
Issue number4
Pages (from-to)101-114
ISSN0960-9822
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • OCEANOGRAPHY
  • SPECIES DISTRIBUTION MODELS
  • MARINE MAMMALS
  • AUSTRAL SUMMER
  • SAMPLE-SIZE
  • DISTRIBUTIONS
  • BELLINGSHAUSEN
  • EXPLANATION
  • PREFERENCES
  • PERFORMANCE
  • SELECTION
  • Seismic survey
  • Ocean noise
  • Humpback whale (Megaptera novaeangliae)
  • Antarctic minke whale (Balaenoptera bonaerensis)
  • Species distribution
  • Habitat preference
  • Antarctic
  • Maxent
  • Southern Ocean Antarctic Region
  • dynamic environmental variable
  • species distribution
  • species-specific habitat condition
  • static environmental variable
  • Cetacea Mammalia Vertebrata Chordata Animalia (Animals, Cetaceans, Chordates, Mammals, Nonhuman Vertebrates, Nonhuman Mammals, Vertebrates) - Balaenopteridae [85810] Balaenoptera bonaerensis species Antarctic minke whale common Megaptera novaeangliae species humpback common
  • 04500, Mathematical biology and statistical methods
  • 07502, Ecology: environmental biology - General and methods
  • 07508, Ecology: environmental biology - Animal
  • 07512, Ecology: environmental biology - Oceanography
  • 10515, Biophysics - Biocybernetics
  • 62800, Animal distribution
  • Computational Biology
  • Ecology, Environmental Sciences
  • Population Studies
  • maximum entropy algorithm mathematical and computer techniques
  • predictive habitat modeling mathematical and computer techniques
  • seismic survey clinical techniques, diagnostic techniques
  • Biogeography
  • Marine Ecology
  • Models and Simulations

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