FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3096804232> ?p ?o ?g. }

• W3096804232 endingPage "47" @default.
• W3096804232 startingPage "37" @default.
• W3096804232 abstract "Abstract The field of landscape genetics has been rapidly evolving, adopting and adapting analytical frameworks to address research questions. Current studies are increasingly using regression‐based frameworks to infer the individual contributions of landscape and habitat variables on genetic differentiation. This paper outlines appropriate and inappropriate uses of multiple regression for these purposes, and demonstrates through simulation the limitations of different analytical frameworks for making correct inference. Of particular concern are recent studies seeking to explain genetic differences by fitting regression models with effective distance variables calculated independently on separate landscape resistance surfaces. When moving across the landscape, organisms cannot respond independently and uniquely to habitat and landscape features. Analyses seeking to understand how landscape features affect gene flow should model a single conductance or resistance surface as a parameterized function of relevant spatial covariates, and estimate the values of these parameters by linking a single set of resistance distances to observed genetic dissimilarity via a loss function. While this loss function may involve a regression‐like step, the associated nuisance parameters are not interpretable in terms of organismal movement and should not be conflated with what is actually of interest: the mapping between spatial covariates and conductance/resistance. The growth and evolution of landscape genetics as a field has been rapid and exciting. It is the goal of this paper to highlight past missteps and demonstrate limitations of current approaches to ensure that future use of regression models will appropriately consider the process being modeled, which will provide clarity to model interpretation." @default.
• W3096804232 created "2020-11-09" @default.
• W3096804232 creator A5081716110 @default.
• W3096804232 creator A5086872852 @default.
• W3096804232 date "2020-12-02" @default.
• W3096804232 modified "2023-10-16" @default.
• W3096804232 title "The use and misuse of regression models in landscape genetic analyses" @default.
• W3096804232 cites W1908896570 @default.
• W3096804232 cites W1976017021 @default.
• W3096804232 cites W1981557750 @default.
• W3096804232 cites W1988867519 @default.
• W3096804232 cites W2017074541 @default.
• W3096804232 cites W2044879785 @default.
• W3096804232 cites W2053611279 @default.
• W3096804232 cites W2056868472 @default.
• W3096804232 cites W2059029623 @default.
• W3096804232 cites W2059189547 @default.
• W3096804232 cites W2059284303 @default.
• W3096804232 cites W2073173579 @default.
• W3096804232 cites W2082213878 @default.
• W3096804232 cites W2102848123 @default.
• W3096804232 cites W2112287359 @default.
• W3096804232 cites W2118771231 @default.
• W3096804232 cites W2121728149 @default.
• W3096804232 cites W2138877624 @default.
• W3096804232 cites W2141404448 @default.
• W3096804232 cites W2149790333 @default.
• W3096804232 cites W2150251862 @default.
• W3096804232 cites W2151038630 @default.
• W3096804232 cites W2154570188 @default.
• W3096804232 cites W2157714118 @default.
• W3096804232 cites W2159464852 @default.
• W3096804232 cites W2160080470 @default.
• W3096804232 cites W2166094429 @default.
• W3096804232 cites W2180173824 @default.
• W3096804232 cites W2398444803 @default.
• W3096804232 cites W2418691474 @default.
• W3096804232 cites W2463244674 @default.
• W3096804232 cites W2513882802 @default.
• W3096804232 cites W2550658416 @default.
• W3096804232 cites W2606320812 @default.
• W3096804232 cites W2607063755 @default.
• W3096804232 cites W2608739111 @default.
• W3096804232 cites W2744741893 @default.
• W3096804232 cites W2909968513 @default.
• W3096804232 cites W2939059944 @default.
• W3096804232 cites W2939861196 @default.
• W3096804232 cites W2949862293 @default.
• W3096804232 cites W2959955989 @default.
• W3096804232 cites W2977902424 @default.
• W3096804232 cites W2981139703 @default.
• W3096804232 cites W3034646626 @default.
• W3096804232 cites W3040018299 @default.
• W3096804232 cites W3047930489 @default.
• W3096804232 cites W3173705524 @default.
• W3096804232 doi "https://doi.org/10.1111/mec.15716" @default.
• W3096804232 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33128830" @default.
• W3096804232 hasPublicationYear "2020" @default.
• W3096804232 type Work @default.
• W3096804232 sameAs 3096804232 @default.
• W3096804232 citedByCount "33" @default.
• W3096804232 countsByYear W30968042322020 @default.
• W3096804232 countsByYear W30968042322021 @default.
• W3096804232 countsByYear W30968042322022 @default.
• W3096804232 countsByYear W30968042322023 @default.
• W3096804232 crossrefType "journal-article" @default.
• W3096804232 hasAuthorship W3096804232A5081716110 @default.
• W3096804232 hasAuthorship W3096804232A5086872852 @default.
• W3096804232 hasBestOaLocation W30968042321 @default.
• W3096804232 hasConcept C105795698 @default.
• W3096804232 hasConcept C119043178 @default.
• W3096804232 hasConcept C119857082 @default.
• W3096804232 hasConcept C14036430 @default.
• W3096804232 hasConcept C144024400 @default.
• W3096804232 hasConcept C149782125 @default.
• W3096804232 hasConcept C149923435 @default.
• W3096804232 hasConcept C152877465 @default.
• W3096804232 hasConcept C154945302 @default.
• W3096804232 hasConcept C18903297 @default.
• W3096804232 hasConcept C202444582 @default.
• W3096804232 hasConcept C2776214188 @default.
• W3096804232 hasConcept C2777146004 @default.
• W3096804232 hasConcept C2778068638 @default.
• W3096804232 hasConcept C2908647359 @default.
• W3096804232 hasConcept C33923547 @default.
• W3096804232 hasConcept C41008148 @default.
• W3096804232 hasConcept C47559259 @default.
• W3096804232 hasConcept C55493867 @default.
• W3096804232 hasConcept C57473165 @default.
• W3096804232 hasConcept C78458016 @default.
• W3096804232 hasConcept C83546350 @default.
• W3096804232 hasConcept C86803240 @default.
• W3096804232 hasConcept C9652623 @default.
• W3096804232 hasConceptScore W3096804232C105795698 @default.
• W3096804232 hasConceptScore W3096804232C119043178 @default.
• W3096804232 hasConceptScore W3096804232C119857082 @default.
• W3096804232 hasConceptScore W3096804232C14036430 @default.
• W3096804232 hasConceptScore W3096804232C144024400 @default.

• next