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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Climate variables explain neutral and adaptive variation within salmonid metapopulations: the importance of replication in landscape genetics
|
|---|---|
| Published in |
Molecular Ecology, February 2016
|
| DOI | 10.1111/mec.13517 |
| Pubmed ID | |
| Authors |
Brian K Hand, Clint C Muhlfeld, Alisa A Wade, Ryan P Kovach, Diane C Whited, Shawn R Narum, Andrew P Matala, Michael W Ackerman, Brittany A Garner, John S Kimball, Jack A Stanford, Gordon Luikart |
| Abstract |
Understanding how environmental variation influences population genetic structure is important for conservation management because it can reveal how human stressors influence population connectivity, genetic diversity, and persistence. We used riverscape genetics modeling to assess whether climatic and habitat variables were related to neutral and adaptive patterns of genetic differentiation (population specific and pairwise FST ) within five metapopulations (79 populations, 4,583 individuals) of steelhead trout (Oncorhynchus mykiss) in the Columbia River Basin, USA. Using 151 putatively neutral and 29 candidate adaptive SNP loci, we found that climate-related variables (winter precipitation, summer maximum temperature, winter highest 5% flow events, and summer mean flow) often explained neutral and adaptive patterns of genetic differentiation within metapopulations, suggesting that climatic variation likely influences both demography (neutral variation) and local adaptation (adaptive variation). However, we did not observe consistent relationships between climate variables and FST across all metapopulations, underscoring the need for replication when extrapolating results from one scale to another (e.g., basin-wide to the metapopulation scale). Sensitivity analysis (leave-one-population-out) revealed consistent relationships between climate variables and FST within three metapopulations; however, these patterns were not consistent in two metapopulations likely due to small sample sizes (N = 10). These results provide correlative evidence that climatic variation has shaped the genetic structure of steelhead populations and highlight the need for replication and sensitivity analyses in land and riverscape genetics. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 153 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 28% |
| Researcher | 36 | 22% |
| Student > Master | 27 | 17% |
| Student > Doctoral Student | 9 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 20 | 12% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 51% |
| Environmental Science | 31 | 19% |
| Biochemistry, Genetics and Molecular Biology | 21 | 13% |
| Computer Science | 2 | 1% |
| Earth and Planetary Sciences | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 19 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 February 2016.
All research outputs
#4,091,104
of 23,577,654 outputs
Outputs from Molecular Ecology
#2,178
of 6,450 outputs
Outputs of similar age
#70,657
of 400,704 outputs
Outputs of similar age from Molecular Ecology
#41
of 107 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.