4.6 Article

Aerial survey estimates of polar bears and their tracks in the Chukchi Sea

期刊

PLOS ONE
卷 16, 期 5, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0251130

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资金

  1. U.S. National Oceanic and Atmospheric Administration (NOAA)
  2. U.S. Fish & Wildlife Service (USFWS)
  3. NOAA through the North Pacific Wildlife Consulting, LLC
  4. North Pacific Research Board [NA17NMF4720289, 1813]
  5. Prince William Sound Oil Spill Recovery Institute
  6. USFWS
  7. RPO Marine Mammal Council
  8. WWF Russia

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In 2016, a collaborative U.S.-Russian effort utilized aerial surveys to estimate the abundance and spatial distribution of polar bears on sea ice in the Chukchi Sea. The study indicated high spring polar bear densities on sea ice in Russian waters south of Wrangell Island, suggesting a useful lower bound for abundance. Despite several assumptions in the estimates, future improvements in springtime aerial surveys could provide valuable insights into polar bear populations and their prey over large, remote areas.
Polar bears are of international conservation concern due to climate change but are difficult to study because of low densities and an expansive, circumpolar distribution. In a collaborative U.S.-Russian effort in spring of 2016, we used aerial surveys to detect and estimate the abundance of polar bears on sea ice in the Chukchi Sea. Our surveys used a combination of thermal imagery, digital photography, and human observations. Using spatio-temporal statistical models that related bear and track densities to physiographic and biological covariates (e.g., sea ice extent, resource selection functions derived from satellite tags), we predicted abundance and spatial distribution throughout our study area. Estimates of 2016 abundance ((N) over cap.) ranged from 3,435 (95% CI: 2,300-5,131) to 5,444 (95% CI: 3,636-8,152) depending on the proportion of bears assumed to be missed on the transect line during Russian surveys (g(0)). Our point estimates are larger than, but of similar magnitude to, a recent estimate for the period 2008-2016 ( (N) over cap. 1/4 2; 937; 95% CI 1,522-5,944) derived from an integrated population model applied to a slightly smaller area. Although a number of factors (e.g., equipment issues, differing platforms, low sample sizes, size of the study area relative to sampling effort) required us to make a number of assumptions to generate estimates, it establishes a useful lower bound for abundance, and suggests high spring polar bear densities on sea ice in Russian waters south of Wrangell Island. With future improvements, we suggest that springtime aerial surveys may represent a plausible avenue for studying abundance and distribution of polar bears and their prey over large, remote areas.

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