scholarly journals Correction: Body Size Regression Formulae, Proximate Composition and Energy Density of Eastern Bering Sea Mesopelagic Fish and Squid

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0159353 ◽  
Author(s):  
Elizabeth H. Sinclair ◽  
William A. Walker ◽  
James R. Thomason
2016 ◽  
Author(s):  
Devin S. Johnson ◽  
Elizabeth H. Sinclair

SummaryWe present a method for modeling multiple species distributions simultaneously using Dirichlet Process random effects to cluster species into guilds. Guilds are ecological groups of species that behave or react similarly to some environmental conditions. By modeling latent guild structure, we capture the cross-correlations in abundance or occurrence of species over surveys. In addition, ecological information about the community structure is obtained as a byproduct of the model. By clustering species into similar functional groups, prediction uncertainty of community structure at additional sites is reduced over treating each species separately. The method is illustrated with a small simulation demonstration, as well as an analysis of a mesopelagic fish survey from the eastern Bering Sea near Alaska. The simulation data analysis shows that guild membership can be extracted as the differences between groups become larger and if guild differences are small the model naturally collapses all the species into a small number of guilds which increases predictive efficiency by reducing the number of parameters to that which is supported by the data.


Harmful Algae ◽  
2017 ◽  
Vol 63 ◽  
pp. 13-22 ◽  
Author(s):  
Masafumi Natsuike ◽  
Hiroshi Oikawa ◽  
Kohei Matsuno ◽  
Atsushi Yamaguchi ◽  
Ichiro Imai

Author(s):  
Christopher N Rooper ◽  
Ivonne Ortiz ◽  
Albert J Hermann ◽  
Ned Laman ◽  
Wei Cheng ◽  
...  

Abstract Climate-related distribution shifts for marine species are, in general, amplified in northern latitudes. The objective of this study was to predict future distributions of commercially important species in the eastern Bering Sea under six climate scenarios, by incorporating predictions of future oceanographic conditions. We used species distribution modelling to determine potential distribution changes in four time periods (2013–2017, 2030–2039, 2060–2069, and 2090-2099) relative to 1982–2012 for 16 marine fish and invertebrates. Most species were predicted to have significant shifts in the centre of gravity of the predicted abundance, the area occupied, and the proportion of the predicted abundance found in the standard bottom trawl survey area. On average the shifts were modest, averaging 35.2 km (ranging from 1 to 202 km). There were significant differences in the predicted trend for distribution metrics among climate scenarios, with the most extensive changes in distribution resulting from Representative Concentration Pathway 8.5 climate scenarios. The variability in distributional shifts among years and climate scenarios was high, although the magnitudes were low. This study provides a basis for understanding where fish populations might expand or contract in future years. This will provide managers’ information that can help guide appropriate actions under warming conditions.


1957 ◽  
Vol 21 (2) ◽  
pp. 237 ◽  
Author(s):  
Ford Wilke ◽  
Karl W. Kenyon

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