Reproductive conditions of walleye pollock Theragra chalcogramma (Gadidae) off the northeastern coast of Sakhalin Island, Sea of Okhotsk

Tok, Kim Sen; Mukhametov, I. N.; Zavarzin, Denis S.; Chastikov, V. N.; Latkovskaya, E. M.; Цхай, Ж.Р.; Korneev, E. S.; Koreneva, T. G.

doi:10.1134/s003294521706008x

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Polychaeta energy density was the highest in Period 3, but without species information it is not possible to draw inferences because of the numerous life histories within that class. Benthic larvae were found in the water column in June adjacent to Sakhalin Island demonstrating that the timing of early benthic community life history stages is tuned to spring water primary production (Tok et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Benthic studies adjacent to Sakhalin Island, Russia 2015 III: benthic energy density spatial models in the nearshore gray whale feeding area

Blanchard¹,

Ainsworth²,

Gailey³

et al. 2022

Environ Monit Assess

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Energy densities of six dominant benthic groups (Actinopterygii, Amphipoda, Bivalvia, Cumacea, Isopoda, and Polychaeta) and total prey energy were modeled for the nearshore western gray whale feeding area, Sakhalin Island, Russia, as part of a multi-disciplinary research program in the summer of 2015. Energy was modeled using generalized additive mixed models (GAMM) with accommodations for zero-inflation (logistic regression and hurdle models) and regression predictions combined with kriging to interpolate energy densities across the nearshore feeding area. Amphipoda energy density was the highest nearshore and in the south whereas Bivalvia energy density was the highest offshore and in the northern portion of the study area. Total energy was the highest in mid-range distances from shore and in the north. Amphipoda energy density was higher than minimum energy estimates defining gray whale feeding habitats (312–442 kJ/m2) in 13% of the nearshore feeding area whereas total prey energy density was higher than the minimum energy requirement in 49% of the habitat. Inverse distance-weighted interpolations of Amphipoda energy provided a broader scale representation of the data whereas kriging estimates were spatially limited but more representative of higher density in the southern portion of the study area. Both methods represented the general trend of higher Amphipoda energy density nearshore but with significant differences that highlight the value of using multiple methods to model patterns in highly complex environments.

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Section: Discussionmentioning

confidence: 99%