FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2045577540> ?p ?o ?g. }

• W2045577540 endingPage "160" @default.
• W2045577540 startingPage "154" @default.
• W2045577540 abstract "•Evolution generates quantitative variation in the degree of local (mal)adaptation. •(Mal)adaptation in one species can influence the abundance of other species. •Modified species abundances can influence immigration and extinction. •The effects of (mal)adaptation can be added to island biogeography theory. Current research on eco-evolutionary dynamics is mainly concerned with understanding the role of rapid (or ‘contemporary’) evolution in structuring ecological patterns. We argue that the current eco-evolutionary research program, which focuses largely on natural selection, should be expanded to more explicitly consider other evolutionary processes such as gene flow. Because multiple evolutionary processes interact to generate quantitative variation in the degree of local maladaptation, we focus on how studying the ecological effects of maladaptation will lead to a more comprehensive view of how evolution can influence ecology. We explore how maladaptation can influence ecology through the lens of island biogeography theory, which yields some novel predictions, such as patch isolation increasing species richness. Current research on eco-evolutionary dynamics is mainly concerned with understanding the role of rapid (or ‘contemporary’) evolution in structuring ecological patterns. We argue that the current eco-evolutionary research program, which focuses largely on natural selection, should be expanded to more explicitly consider other evolutionary processes such as gene flow. Because multiple evolutionary processes interact to generate quantitative variation in the degree of local maladaptation, we focus on how studying the ecological effects of maladaptation will lead to a more comprehensive view of how evolution can influence ecology. We explore how maladaptation can influence ecology through the lens of island biogeography theory, which yields some novel predictions, such as patch isolation increasing species richness. a field of study investigating the influence of genetic variation within species on the ecology of communities and ecosystems. measure of predicted immigration to a habitat patch from surrounding patches, calculated using distances between patches, dispersal ability of the focal organism, and population sizes (see also Isolation). related to community genetics, a field of study investigating interactions between ecology and evolution on contemporary timescales. a stochastic process by which the genetic makeup of a population in a newly colonized habitat differs from that of the source population (see also Genetic drift). movement of alleles between populations via dispersal/migration, yielding modified allele frequency in recipient populations. stochastic changes in allele frequency owing to finite population size. increased population homozygosity due to mating among close relatives. the inverse of connectivity, although traditionally with respect only to distance between island and mainland. non-random association of alleles at multiple genomic loci a continuously variable spectrum of local adaptation, from very poorly adapted to very well adapted. a group of local communities linked by dispersal. a group of local populations linked by dispersal. when variants (alleles) of a single gene influence multiple phenotypic traits." @default.
• W2045577540 created "2016-06-24" @default.
• W2045577540 creator A5009227500 @default.
• W2045577540 creator A5030592051 @default.
• W2045577540 creator A5063300827 @default.
• W2045577540 creator A5082992426 @default.
• W2045577540 date "2015-03-01" @default.
• W2045577540 modified "2023-10-14" @default.
• W2045577540 title "How maladaptation can structure biodiversity: eco-evolutionary island biogeography" @default.
• W2045577540 cites W1541870771 @default.
• W2045577540 cites W1651659314 @default.
• W2045577540 cites W1832963154 @default.
• W2045577540 cites W1969055273 @default.
• W2045577540 cites W1977619315 @default.
• W2045577540 cites W1983860911 @default.
• W2045577540 cites W1985938067 @default.
• W2045577540 cites W1992206934 @default.
• W2045577540 cites W1993298717 @default.
• W2045577540 cites W2012206394 @default.
• W2045577540 cites W2012344824 @default.
• W2045577540 cites W2035565315 @default.
• W2045577540 cites W2038816875 @default.
• W2045577540 cites W2050494692 @default.
• W2045577540 cites W2062210712 @default.
• W2045577540 cites W2083310645 @default.
• W2045577540 cites W2084447002 @default.
• W2045577540 cites W2086687204 @default.
• W2045577540 cites W2100481775 @default.
• W2045577540 cites W2103644410 @default.
• W2045577540 cites W2106372846 @default.
• W2045577540 cites W2106754079 @default.
• W2045577540 cites W2107763376 @default.
• W2045577540 cites W2110823979 @default.
• W2045577540 cites W2118992195 @default.
• W2045577540 cites W2122005598 @default.
• W2045577540 cites W2125086779 @default.
• W2045577540 cites W2129163149 @default.
• W2045577540 cites W2129757963 @default.
• W2045577540 cites W2131968937 @default.
• W2045577540 cites W2143913979 @default.
• W2045577540 cites W2144887058 @default.
• W2045577540 cites W2148830148 @default.
• W2045577540 cites W2151414636 @default.
• W2045577540 cites W2152198622 @default.
• W2045577540 cites W2152675248 @default.
• W2045577540 cites W2156509962 @default.
• W2045577540 cites W2156909800 @default.
• W2045577540 cites W2162469246 @default.
• W2045577540 cites W2167912285 @default.
• W2045577540 cites W2168592101 @default.
• W2045577540 cites W2269915096 @default.
• W2045577540 cites W2624070950 @default.
• W2045577540 cites W3191823257 @default.
• W2045577540 cites W4234128401 @default.
• W2045577540 cites W4241722143 @default.
• W2045577540 cites W4251270200 @default.
• W2045577540 cites W4251435051 @default.
• W2045577540 doi "https://doi.org/10.1016/j.tree.2015.01.002" @default.
• W2045577540 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25666433" @default.
• W2045577540 hasPublicationYear "2015" @default.
• W2045577540 type Work @default.
• W2045577540 sameAs 2045577540 @default.
• W2045577540 citedByCount "32" @default.
• W2045577540 countsByYear W20455775402015 @default.
• W2045577540 countsByYear W20455775402016 @default.
• W2045577540 countsByYear W20455775402017 @default.
• W2045577540 countsByYear W20455775402018 @default.
• W2045577540 countsByYear W20455775402019 @default.
• W2045577540 countsByYear W20455775402020 @default.
• W2045577540 countsByYear W20455775402021 @default.
• W2045577540 countsByYear W20455775402022 @default.
• W2045577540 countsByYear W20455775402023 @default.
• W2045577540 crossrefType "journal-article" @default.
• W2045577540 hasAuthorship W2045577540A5009227500 @default.
• W2045577540 hasAuthorship W2045577540A5030592051 @default.
• W2045577540 hasAuthorship W2045577540A5063300827 @default.
• W2045577540 hasAuthorship W2045577540A5082992426 @default.
• W2045577540 hasConcept C10138342 @default.
• W2045577540 hasConcept C123575903 @default.
• W2045577540 hasConcept C126831891 @default.
• W2045577540 hasConcept C130217890 @default.
• W2045577540 hasConcept C135811302 @default.
• W2045577540 hasConcept C139807058 @default.
• W2045577540 hasConcept C144024400 @default.
• W2045577540 hasConcept C149923435 @default.
• W2045577540 hasConcept C154945302 @default.
• W2045577540 hasConcept C162324750 @default.
• W2045577540 hasConcept C169760540 @default.
• W2045577540 hasConcept C182025440 @default.
• W2045577540 hasConcept C18903297 @default.
• W2045577540 hasConcept C2775945657 @default.
• W2045577540 hasConcept C2780354846 @default.
• W2045577540 hasConcept C2908647359 @default.
• W2045577540 hasConcept C41008148 @default.
• W2045577540 hasConcept C54355233 @default.
• W2045577540 hasConcept C75268714 @default.
• W2045577540 hasConcept C78458016 @default.
• W2045577540 hasConcept C81917197 @default.

• next