Conservation Genetics

, Volume 12, Issue 1, pp 223–241 | Cite as

Comparative landscape genetic analysis of three Pacific salmon species from subarctic North America

  • Jeffrey B. Olsen
  • Penelope A. Crane
  • Blair G. Flannery
  • Karen Dunmall
  • William D. Templin
  • John K. Wenburg
Research Article

Abstract

We examined the assumption that landscape heterogeneity similarly influences the spatial distribution of genetic diversity in closely related and geographically overlapping species. Accordingly, we evaluated the influence of watershed affiliation and nine habitat variables from four categories (spatial isolation, habitat size, climate, and ecology) on population divergence in three species of Pacific salmon (Oncorhynchus tshawytscha, O. kisutch, and O. keta) from three contiguous watersheds in subarctic North America. By incorporating spatial data we found that the three watersheds did not form the first level of hierarchical population structure as predicted. Instead, each species exhibited a broadly similar spatial pattern: a single coastal group with populations from all watersheds and one or more inland groups primarily in the largest watershed. These results imply that the spatial scale of conservation should extend across watersheds rather than at the watershed level which is the scale for fishery management. Three independent methods of multivariate analysis identified two variables as having influence on population divergence across all watersheds: precipitation in all species and subbasin area (SBA) in Chinook. Although we found general broad-scale congruence in the spatial patterns of population divergence and evidence that precipitation may influence population divergence in each species, we also found differences in the level of population divergence (coho > Chinook and chum) and evidence that SBA may influence population divergence only in Chinook. These differences among species support a species-specific approach to evaluating and planning for the influence of broad-scale impacts such as climate change.

Keywords

Landscape genetics Pacific salmon Population structure Subarctic 

Notes

Acknowledgments

Funding for this study was provided by the Arctic Yukon Kuskokwim Sustainable Salmon Initiative through project number 45490, and the US Fish and Wildlife Service (USFWS) Alaska Region Conservation Genetics Laboratory. Tyler Grossheusch developed the ArcGIS version 9.2 data layers for each species. Doug Molyneaux (Alaska Department of Fish and Game) organized sample collections from the Kuskokwim River. The data layers used in this study can be downloaded from a companion web map at http://alaska.fws.gov/fisheries/genetics/CGL_googlemap.html. The findings and conclusions in this article are those of the authors and do not necessarily represent the views of the USFWS.

Supplementary material

10592_2010_135_MOESM1_ESM.doc (1.3 mb)
Supplementary material 1 (DOC 1296 kb)

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Copyright information

© US Government 2010

Authors and Affiliations

  • Jeffrey B. Olsen
    • 1
  • Penelope A. Crane
    • 1
  • Blair G. Flannery
    • 1
  • Karen Dunmall
    • 2
  • William D. Templin
    • 3
  • John K. Wenburg
    • 1
  1. 1.Conservation Genetics LaboratoryU.S. Fish & Wildlife ServiceAnchorageUSA
  2. 2.Fisheries DepartmentKawerak, Inc.NomeUSA
  3. 3.Alaska Department of Fish and Game, Division of Commercial FisheriesGene Conservation LaboratoryAnchorageUSA

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