Document Type
Article
Publication Date
2-1-2006
Publication Title
Ecology
Department
Department of Biological Sciences
Abstract
There is growing recognition of the need to incorporate information on movement behavior in landscape-scale studies of dispersal. One way to do this is by using indirect indices of dispersal (e.g., genetic differentiation) to test predictions derived from direct data on movement behavior. Mark–recapture studies documented upstream-biased movement in the salamander Gyrinophilus porphyriticus (Plethodontidae). Based on this information, we hypothesized that gene flow in G. porphyriticus is affected by the slope of the stream. Specifically, because the energy required for upstream dispersal is positively related to slope, we predicted gene flow to be negatively related to change in elevation between sampling sites. Using amplified DNA fragment length polymorphisms among tissue samples from paired sites in nine streams in the Hubbard Brook Watershed, New Hampshire, USA, we found that genetic distances between downstream and upstream sites were positively related to change in elevation over standardized 1-km distances. This pattern of isolation by slope elucidates controls on population connectivity in stream networks and underscores the potential for specific behaviors to affect the genetic structure of species at the landscape scale. More broadly, our results show the value of combining direct data on movement behavior and indirect indices to assess patterns and consequences of dispersal in spatially complex ecosystems.
DOI
10.1890/05-0232
Original Citation
Lowe WH, Likens GE, McPeek MA, Buso DC. Linking direct and indirect data on dispersal: isolation by slope in a headwater stream salamander. Ecology. 2006 Feb;87(2):334-9. doi: 10.1890/05-0232. PMID: 16637359.
Dartmouth Digital Commons Citation
Lowe, Winsor H.; Likens, Gene E.; McPeek, Mark A.; and Buso, Don C., "Linking Direct and Indirect Data on Dispersal: Isolation by Slope in a Headwater Stream Salamander" (2006). Dartmouth Scholarship. 786.
https://digitalcommons.dartmouth.edu/facoa/786
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