Winter Seabird Populations in Open Waters of the Sea of Okhotsk

Artukhin, Yuri B.

doi:10.1134/s1063074019010024

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…In addition to these, our monitoring records and analyses showed that strong northerly winds bring a substantial abundance of this species to the southern edge of the Sea of Okhotsk, and the chance of these events can increase with the progress of the winter season, suggesting the northern parts of the sea to be another regular wintering region of Ross's Gull. Indeed, observational research from vessels has documented sightings of this species over the Sea of Okhotsk, especially in open waters around the northeastern part of the sea (Artukhin, 2019 ). Although the latitude of the Sea of Okhotsk is much lower than that of previously documented wintering grounds of this species and our model showed the sea ice coverage to have little effect on its observation in our specific study site, the sea is known to be covered by seasonal sea ice substantially (Honda et al., 1999 ) and this species tends to occur at the edge of sea pack ice (Maftei et al., 2015 ).…”

Section: Discussionmentioning

confidence: 99%

Rare bird forecast: A combined approach using a long‐term dataset of an Arctic seabird and a numerical weather prediction model

Senzaki,

Tamura,

Watanabe

et al. 2024

Ecology and Evolution

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Wildlife observation is a popular activity, and sightings of rare or difficult‐to‐find animals are often highly desired. However, predicting the sighting probabilities of these animals is a challenge for many observers, and it may only be possible by limited experts with intimate knowledge and skills. To tackle this difficulty, we developed user‐friendly forecast systems of the daily observation probabilities of a rare Arctic seabird (Ross's Gull Rhodostethia rosea) in a coastal area in northern Japan. Using a dataset gathered during 16 successive winters, we applied a machine learning technique of self‐organizing maps and explored how days with gull sightings were related to the meteorological pressure patterns over the Sea of Okhotsk (Method A). We also built a regression model that explains the relationship between gull sightings and local‐scale environmental factors (Method B). We then applied these methods with the operational global numerical weather prediction model (a computer simulation application about the fluid dynamics of Earth's atmosphere) to forecast the daily observation probabilities of our target. Method A demonstrated a strong dependence of gull sightings on the 16 representative weather patterns and forecasted stepwise observation probabilities ranging from 0% to 85.7%. Method B also showed that the strength of the northerly wind and the advancement of the season explained gull sightings and forecasted continuous observation probabilities ranging from 0% to 95.5%. Applying these two methods with the operational global numerical weather prediction model successfully forecasted the varied observation probabilities of Ross's Gull from 1 to 5 days ahead from November to February. A 2‐year follow‐up observation also validated both forecast systems to be effective for successful observation, especially when both systems forecasted higher observation probabilities. The developed forecast systems would therefore allow cost‐effective animal observation and may facilitate a better experience for a variety of wildlife observers.

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Section: Discussionmentioning

confidence: 99%

Rare bird forecast: A combined approach using a long‐term dataset of an Arctic seabird and a numerical weather prediction model

Senzaki,

Tamura,

Watanabe

et al. 2024

Ecology and Evolution

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Breeding Biology of the Crested Auklet (Aethia cristatella, Alcidae, Charadriiformes) in the Northern Part of the Sea of Okhotsk

Golubova

2021

Biol Bull Russ Acad Sci

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Features of Seabird Interaction With Trawl Fishing Gear

Борисович¹

2019

Izv. Tihookean. naučno-issled. rybohoz. centra

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Seabirds interaction with trawl fishing gear was observed aboard the large freezing-processing trawler «Moskovskaya Olimpiada» during the pollock fishery in the Okhotsk Sea in January-April, 2015. In total, 579 observation rounds were realized including 105 ones during the trawl setting, 116 ones during hauling, and 358 ones during trawling, with total duration of 280.7 hours. In the observations, 1443 contacts of birds with the fishing gear were recorded. Light contact of a flying gull with the trawl net was observed in one case only; all other contacts were collisions with the wires. The warps and the depth sounder cable were the greatest hazard for birds. Collisions with the sounder cable during the trawling were the most frequent, with approximately 5 times higher frequency than with the same cable during the trawl setting or hauling. Almost all strikes with the wires were registered for northern fulmars (97.5 %) and the rest of the strikes — for large gulls. Gulls had only light contacts with the depth sounder cable (2 contacts afloat and 34 contacts in flight). Fulmars had contacts both with the depth sounder cable and warps. Flying birds of this species contacted with the depth sounder cable more frequently (75.5 %) than those sitting on the water. On the contrary, majority of fulmars (61.6 %) contacted with the warps being afloat in the process of their feeding. Several cases only (0.6 %) of direct interactions with the fishing gear caused the bird’s death. All these cases occurred with the fulmars drowned when they fell under the depth sounder cable (7 ind.) or under the warp (1 ind.). Frequency of the bird collisions with the wires differed prominently by the fishery districts, with the maximum in the Kamchatka-Kuril subzone (8.35 contacts/hour for fulmars and 0.22 contacts/hour for gulls). These spatial differences are related to the birds abundance near the ship that depends on distribution patterns of certain bird species in the Okhotsk Sea in winter. General frequency of the contacts depends credibly on intensity of the waste discharges after fish processing and on wind direction relative to the ship course.

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Winter Seabird Populations in Open Waters of the Sea of Okhotsk

Cited by 3 publications

References 15 publications

Rare bird forecast: A combined approach using a long‐term dataset of an Arctic seabird and a numerical weather prediction model

Rare bird forecast: A combined approach using a long‐term dataset of an Arctic seabird and a numerical weather prediction model

Breeding Biology of the Crested Auklet (Aethia cristatella, Alcidae, Charadriiformes) in the Northern Part of the Sea of Okhotsk

Features of Seabird Interaction With Trawl Fishing Gear

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