Spatial, interannual, and generational sources of trait variability in a marine population-Reference-Cited by-同舟云学术

Spatial, interannual, and generational sources of trait variability in a marine population

Published:2019-10-29 Issue:1 Volume:101 Page:
ISSN:0012-9658
Container-title:Ecology
language:en
Short-container-title:Ecology

Author:

Ciannelli Lorenzo¹^ORCID,Tolkova Irina²,Lauth Robert³,Puerta Patricia¹⁴^ORCID,Helser Thomas³,Gitelman Alix⁵,Thompson Grant³

Affiliation:

1. College of Earth, Ocean, and Atmospheric Sciences Oregon State University 104 CEOAS Administration Building Corvallis Oregon 97330 USA

2. School of Engineering and Applied Sciences Harvard University 29 Oxford Street Cambridge Massachusetts 02138 USA

3. Alaska Fisheries Science Center National Oceanic and Atmospheric Administration 7200 Sand Point Way NE Seattle Washington 98115 USA

4. Centro Oceanografico de Baleares Instituto Español de Oceanografía Muelle de Poniente, s/n 07015 Palma Spain

5. Department of Statistics Oregon State University 239 Weniger Hall Corvallis Oregon 97331‐4606 USA

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2907

Reference42 articles.

1. Predation on Eggs and Larvae of Marine Fishes and the Recruitment Problem

2. Prey of Steller sea lions in the Bering Sea;Calkins D. G.;Biosphere Conservation: FOR Nature, Wildlife, and Humans,1998

3. Landscape dynamics and resulting species interactions: the cod-capelin system in the southeastern Bering Sea

4. Non-additive and non-stationary properties in the spatial distribution of a large marine fish population

5. Conner J. andR. R.Lauth.2017.Results of the 2016 eastern Bering sea continental shelf bottom trawl survey of groundfish and invertebrate resources. US Dep Commer NOAA Tech Memo NMFSAFSC‐352 p 159.https://www.afsc.noaa.gov/Publications/AFSC-TM/NOAA-TM-AFSC-352.pdf

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