Matches in SemOpenAlex for { <https://semopenalex.org/work/W2042619625> ?p ?o ?g. }
- W2042619625 endingPage "15" @default.
- W2042619625 startingPage "7" @default.
- W2042619625 abstract "A series of theoretical studies has formed a strong connection between spatial statistics observed in populations and summary measures of the amount of dispersal. Synthesized, these developments allow dispersal to be indirectly estimated from standing spatial patterns of genetic variation under a range of conditions broad enough to be likely met in most populations of either plants or animals. The spatial correlations at the shortest distances are particularly robust to range of conditions and have disproportionately high statistical power. This review integrates theoretical results in a way that maximizes robustness and flexibility in the use of short distance autocorrelation to estimate Wright's neighborhood size, or the total variance in dispersal distances. Empirical guidelines are developed that are meant to be as practical and broad as possible. The guidelines focus on Moran's I-statistics for diploid genotypes converted to allele frequencies, but are also extended to or compared with several other approaches." @default.
- W2042619625 created "2016-06-24" @default.
- W2042619625 creator A5077993870 @default.
- W2042619625 date "2005-05-04" @default.
- W2042619625 modified "2023-10-11" @default.
- W2042619625 title "Estimating dispersal from short distance spatial autocorrelation" @default.
- W2042619625 cites W1923790649 @default.
- W2042619625 cites W1939346899 @default.
- W2042619625 cites W1950384241 @default.
- W2042619625 cites W1956852654 @default.
- W2042619625 cites W1969199858 @default.
- W2042619625 cites W1986668258 @default.
- W2042619625 cites W1988549828 @default.
- W2042619625 cites W1990507672 @default.
- W2042619625 cites W1996991738 @default.
- W2042619625 cites W2000494413 @default.
- W2042619625 cites W2025621308 @default.
- W2042619625 cites W2026096004 @default.
- W2042619625 cites W2028955291 @default.
- W2042619625 cites W2030791924 @default.
- W2042619625 cites W2031297363 @default.
- W2042619625 cites W2034954725 @default.
- W2042619625 cites W2040948450 @default.
- W2042619625 cites W2045035622 @default.
- W2042619625 cites W2049167813 @default.
- W2042619625 cites W2049172429 @default.
- W2042619625 cites W2052411423 @default.
- W2042619625 cites W2052476611 @default.
- W2042619625 cites W2052611179 @default.
- W2042619625 cites W2056348110 @default.
- W2042619625 cites W2058258248 @default.
- W2042619625 cites W2079295836 @default.
- W2042619625 cites W2081358949 @default.
- W2042619625 cites W2087985745 @default.
- W2042619625 cites W2101902850 @default.
- W2042619625 cites W2118992831 @default.
- W2042619625 cites W2119251018 @default.
- W2042619625 cites W2122128984 @default.
- W2042619625 cites W2132248297 @default.
- W2042619625 cites W2134978806 @default.
- W2042619625 cites W2154571455 @default.
- W2042619625 cites W2158773158 @default.
- W2042619625 cites W2250445519 @default.
- W2042619625 cites W2316294007 @default.
- W2042619625 cites W2331583700 @default.
- W2042619625 cites W2332216207 @default.
- W2042619625 cites W2581071829 @default.
- W2042619625 doi "https://doi.org/10.1038/sj.hdy.6800680" @default.
- W2042619625 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15931252" @default.
- W2042619625 hasPublicationYear "2005" @default.
- W2042619625 type Work @default.
- W2042619625 sameAs 2042619625 @default.
- W2042619625 citedByCount "96" @default.
- W2042619625 countsByYear W20426196252012 @default.
- W2042619625 countsByYear W20426196252013 @default.
- W2042619625 countsByYear W20426196252014 @default.
- W2042619625 countsByYear W20426196252015 @default.
- W2042619625 countsByYear W20426196252016 @default.
- W2042619625 countsByYear W20426196252017 @default.
- W2042619625 countsByYear W20426196252018 @default.
- W2042619625 countsByYear W20426196252019 @default.
- W2042619625 countsByYear W20426196252020 @default.
- W2042619625 countsByYear W20426196252021 @default.
- W2042619625 countsByYear W20426196252022 @default.
- W2042619625 countsByYear W20426196252023 @default.
- W2042619625 crossrefType "journal-article" @default.
- W2042619625 hasAuthorship W2042619625A5077993870 @default.
- W2042619625 hasBestOaLocation W20426196251 @default.
- W2042619625 hasConcept C104317684 @default.
- W2042619625 hasConcept C105795698 @default.
- W2042619625 hasConcept C144024400 @default.
- W2042619625 hasConcept C149782125 @default.
- W2042619625 hasConcept C149923435 @default.
- W2042619625 hasConcept C158709400 @default.
- W2042619625 hasConcept C159620131 @default.
- W2042619625 hasConcept C159985019 @default.
- W2042619625 hasConcept C18903297 @default.
- W2042619625 hasConcept C192562407 @default.
- W2042619625 hasConcept C204323151 @default.
- W2042619625 hasConcept C2908647359 @default.
- W2042619625 hasConcept C33923547 @default.
- W2042619625 hasConcept C47559259 @default.
- W2042619625 hasConcept C5297727 @default.
- W2042619625 hasConcept C54355233 @default.
- W2042619625 hasConcept C63479239 @default.
- W2042619625 hasConcept C78458016 @default.
- W2042619625 hasConcept C86803240 @default.
- W2042619625 hasConceptScore W2042619625C104317684 @default.
- W2042619625 hasConceptScore W2042619625C105795698 @default.
- W2042619625 hasConceptScore W2042619625C144024400 @default.
- W2042619625 hasConceptScore W2042619625C149782125 @default.
- W2042619625 hasConceptScore W2042619625C149923435 @default.
- W2042619625 hasConceptScore W2042619625C158709400 @default.
- W2042619625 hasConceptScore W2042619625C159620131 @default.
- W2042619625 hasConceptScore W2042619625C159985019 @default.
- W2042619625 hasConceptScore W2042619625C18903297 @default.
- W2042619625 hasConceptScore W2042619625C192562407 @default.
- W2042619625 hasConceptScore W2042619625C204323151 @default.