2021
DOI: 10.1007/s10592-021-01352-3
|View full text |Cite
|
Sign up to set email alerts
|

Do anthropogenic matrix and life-history traits structure small mammal populations? A meta-analytical approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 127 publications
0
6
0
Order By: Relevance
“…F ST is the main measure of genetic structure used in the literature and provides the greatest sample size for a meta-analysis. Although there is debate around the accuracy of F ST as a measure of genetic structure [24], it is the most widely used method and still considered to be a valid and accurate measure of genetic differentiation under a broad range of conditions [25][26][27]. A detailed list of search terms is given in the electronic supplementary material, but broadly, we looked for studies with the following words: ('genet*' OR 'genetic diff*' OR 'population structure' OR 'gene flow' OR 'dispersal' OR 'phylog*' OR 'landscape genetic*') AND ('Fst' OR 'Gst' OR 'D' OR 'F' OR 'F st' OR 'G st') AND ('amphibia*' OR 'frog*' OR 'salamand*' OR 'toad*').…”
Section: Methods (A) Systematic Literature Searchmentioning
confidence: 99%
See 1 more Smart Citation
“…F ST is the main measure of genetic structure used in the literature and provides the greatest sample size for a meta-analysis. Although there is debate around the accuracy of F ST as a measure of genetic structure [24], it is the most widely used method and still considered to be a valid and accurate measure of genetic differentiation under a broad range of conditions [25][26][27]. A detailed list of search terms is given in the electronic supplementary material, but broadly, we looked for studies with the following words: ('genet*' OR 'genetic diff*' OR 'population structure' OR 'gene flow' OR 'dispersal' OR 'phylog*' OR 'landscape genetic*') AND ('Fst' OR 'Gst' OR 'D' OR 'F' OR 'F st' OR 'G st') AND ('amphibia*' OR 'frog*' OR 'salamand*' OR 'toad*').…”
Section: Methods (A) Systematic Literature Searchmentioning
confidence: 99%
“…We used the formula F ST /(1−F ST ) to linearize the F ST values, following Slatkin [42], and then used a logarithmic transformation. This process is equivalent to a logit transformation, which is commonly used and facilitates model convergence for this type of data [25][26][27]36,43]. Topographic distances were also log-transformed.…”
Section: (Iii) Statistical Analysesmentioning
confidence: 99%
“…FST is the main measure of genetic structure used in the literature and provides the greatest sample size for a metaanalysis. Although there is debate around the accuracy of FST as a measure of genetic structure [24], it is the most widely used method and still considered to be a valid and accurate measure of genetic differentiation under a broad range of conditions [25][26][27]. A detailed list of search terms is given in the Supplementary Information, but broadly, we looked for studies with the following words: ( "genet*" OR "genetic diff*" OR "population structure" OR "gene flow" OR "dispersal" OR "phylog*" OR "landscape genetic*") AND ("Fst" OR "Gst" OR "D" OR "F" OR "F st" OR "G st") AND ("amphibia*" OR "frog*" OR "salamand*" OR "toad*").…”
Section: Systematic Literature Searchmentioning
confidence: 99%
“…In terms of landscape connectivity, physical barriers to movement and habitat quality throughout the landscape can both restrict dispersal (Manel & Holderegger, 2013 ). Negative effects of anthropogenically altered habitat on dispersal have been found for a range of species including small mammals (Ribeiro et al., 2021 ), birds (Björklund et al., 2010 ), bees (Jha & Kremen, 2013 ) and butterflies (Crawford et al., 2011 ; Takami et al., 2004 ). This may be due to higher mortality for animals that travel farther in between habitat fragments (Bonelli et al., 2013 ; Lucas et al., 1994 ; Mennechez et al., 2003 ).…”
Section: Introductionmentioning
confidence: 99%