2020
DOI: 10.1016/j.dsr2.2020.104913
|View full text |Cite
|
Sign up to set email alerts
|

Distributional shifts among seabird communities of the Northern Bering and Chukchi seas in response to ocean warming during 2017–2019

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
18
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 27 publications
(24 citation statements)
references
References 55 publications
2
18
0
Order By: Relevance
“…In contrast to zooplankton, seabirds are highly mobile, hence, their feeding distributions and abundances in the Chukchi Sea can change independently of water masses and can in part be driven by feeding conditions in other areas such as the northern Bering Sea (Kuletz et al, 2020). Nevertheless, we found that species composition was related to the gradient from warm, saline Pacific water to cold, less saline Arctic water (Figures 4 and 6), likely reflecting associations between seabirds and their preferred prey.…”
Section: Borealization Of the Chukchi Sea Shelfmentioning
confidence: 77%
See 3 more Smart Citations
“…In contrast to zooplankton, seabirds are highly mobile, hence, their feeding distributions and abundances in the Chukchi Sea can change independently of water masses and can in part be driven by feeding conditions in other areas such as the northern Bering Sea (Kuletz et al, 2020). Nevertheless, we found that species composition was related to the gradient from warm, saline Pacific water to cold, less saline Arctic water (Figures 4 and 6), likely reflecting associations between seabirds and their preferred prey.…”
Section: Borealization Of the Chukchi Sea Shelfmentioning
confidence: 77%
“…For assessing macroinfaunal biomass, up to four 0.1 m 2 grab samples were processed and averaged following Grebmeier et al (2018). Strip-transect-based estimates of seabird density were calculated for ~3 km segments (Kuletz et al, 2020), which were then aggregated to the nearest sampling station (using a threshold of 10 km) by computing the average density across all segments associated with that station. Sampling effort was consistent across stations for eDNA samples but varied across stations for zooplankton (volume filtered: 11-81 m 3 for 150 µm nets, 96-615 m 3 for 505 µm nets), epibenthos and demersal fish (area swept: 113-1,138 m 2 ), macroinfauna (number of grabs: 1-4), and seabirds (total km surveyed: 5.84 km to 61.2 km).…”
Section: Rare Taxamentioning
confidence: 99%
See 2 more Smart Citations
“…In particular, the ice extent in 2018 was the lowest since observations in the 1970s [9]. Consequently, over three years, such extreme ice-cover changes have impacted oceanographic and biological conditions in the northern Bering Sea and the Chukchi Sea, including impacts on lower and upper trophic levels [33,34]. Annual Chl-a during this period has been higher than ever, which has been associated with annual SIC reduction (R = −0.62, p < 0.01).…”
Section: Chl-a Distributional Features During Extreme Atmospheric Eventsmentioning
confidence: 99%