Interannual variability of coccolithophore Emiliania huxleyi blooms in response to changes in water column stability in the eastern Bering Sea

2012 ◽  
Vol 34 ◽  
pp. 7-17 ◽  
Author(s):  
T. Iida ◽  
K. Mizobata ◽  
S.-I. Saitoh
2016 ◽  
Vol 121 (2) ◽  
pp. 1476-1501 ◽  
Author(s):  
Neil S. Banas ◽  
Jinlun Zhang ◽  
Robert G. Campbell ◽  
Raymond N. Sambrotto ◽  
Michael W. Lomas ◽  
...  

Author(s):  
Margaret E. Sullivan ◽  
Nancy B. Kachel ◽  
Calvin W. Mordy ◽  
Sigrid A. Salo ◽  
Phyllis J. Stabeno

2018 ◽  
Vol 75 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Stan Kotwicki ◽  
Patrick H. Ressler ◽  
James N. Ianelli ◽  
André E. Punt ◽  
John K. Horne

Fishery-independent surveys are useful for estimating abundance of fish populations and their spatial distribution. It is necessary in the case of semipelagic species to perform acoustic-trawl (AT) and bottom-trawl (BT) surveys to ensure that sampling encompasses both midwater and demersal components of the population. Abundance estimates from both survey types are negatively biased because of the blind zones associated with fish vertical distribution. These biases can vary spatially and temporally, resulting in confounded trends and additional variation in abundance estimates. To improve abundance estimates for semipelagic species we propose a new method for combining BT and AT survey data using environmental variables to predict the vertical overlap. Using walleye pollock (Gadus chalcogrammus) AT and BT surveys in the eastern Bering Sea as an example, we show that combined estimates provide more reliable whole water column and spatial distribution estimates than either survey can by itself. Although the combined estimates are still relative, they account for the uncertainty in the bias ratio between the two survey methods and the uncertainty associated with the extent of the water column sampled by both surveys. Our method of combining BT and AT data can be extended to other semipelagic species.


GeoJournal ◽  
1989 ◽  
Vol 18 (1) ◽  
pp. 45-59 ◽  
Author(s):  
H. J. Niebauer ◽  
Robert H. Day

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