Matches in SemOpenAlex for { <https://semopenalex.org/work/W2915678886> ?p ?o ?g. }
- W2915678886 endingPage "1273" @default.
- W2915678886 startingPage "1259" @default.
- W2915678886 abstract "Adaptation to pollution has been studied since the first observations of heavy metal tolerance in plants decades ago. To document micro-evolutionary responses to pollution, researchers have used phenotypic, molecular genetics, and demographic approaches. We reviewed 258 articles and evaluated the evidence for adaptive responses following exposure to a wide range of pollutants, across multiple taxonomic groups. We also conducted a meta-analysis to calculate the magnitude of phenotypic change in invertebrates in response to metal pollution. The majority of studies that reported differences in responses to pollution were focused on phenotypic responses at the individual level. Most of the studies that used demographic assays in their investigations found that negative effects induced by pollution often worsened over multiple generations. Our meta-analysis did not reveal a significant relationship between metal pollution intensity and changes in the traits studied, and this was probably due to differences in coping responses among different species, the broad array of abiotic and biotic factors, and the weak statistical power of the analysis. We found it difficult to make broad statements about how likely or how common adaptation is in the presence of environmental contamination. Ecological and evolutionary responses to contamination are complex, and difficult to interpret in the context of taxonomic, and methodological biases, and the inconsistent set of approaches that have been used to study adaptation to pollution in the laboratory and in the field. This review emphasizes the need for: (a) long-term monitoring programs on exposed populations that link demography to phenotypic, genetic, and selection assays; (b) the use of standardized protocols across studies especially for similar taxa. Approaches that combine field and laboratory studies offer the greatest opportunity to reveal the complex eco-evolutionary feedback that can occur under selection imposed by pollution." @default.
- W2915678886 created "2019-03-02" @default.
- W2915678886 creator A5040993647 @default.
- W2915678886 creator A5059590788 @default.
- W2915678886 creator A5075520552 @default.
- W2915678886 date "2019-04-09" @default.
- W2915678886 modified "2023-10-14" @default.
- W2915678886 title "Mixed evidence for adaptation to environmental pollution" @default.
- W2915678886 cites W1508136620 @default.
- W2915678886 cites W1592325997 @default.
- W2915678886 cites W1596902544 @default.
- W2915678886 cites W1866948496 @default.
- W2915678886 cites W1942078844 @default.
- W2915678886 cites W1970412974 @default.
- W2915678886 cites W1971391461 @default.
- W2915678886 cites W1977766850 @default.
- W2915678886 cites W1987356373 @default.
- W2915678886 cites W1987979294 @default.
- W2915678886 cites W1988900705 @default.
- W2915678886 cites W1989530362 @default.
- W2915678886 cites W1991431672 @default.
- W2915678886 cites W1994070422 @default.
- W2915678886 cites W1998668481 @default.
- W2915678886 cites W1998854865 @default.
- W2915678886 cites W2007545512 @default.
- W2915678886 cites W2009380469 @default.
- W2915678886 cites W2010906034 @default.
- W2915678886 cites W2012145606 @default.
- W2915678886 cites W2014564466 @default.
- W2915678886 cites W2019758488 @default.
- W2915678886 cites W2020148976 @default.
- W2915678886 cites W2026280948 @default.
- W2915678886 cites W2030776217 @default.
- W2915678886 cites W2041652450 @default.
- W2915678886 cites W2043844855 @default.
- W2915678886 cites W2044351358 @default.
- W2915678886 cites W2059920656 @default.
- W2915678886 cites W2061868406 @default.
- W2915678886 cites W2072982091 @default.
- W2915678886 cites W2078140670 @default.
- W2915678886 cites W2081663707 @default.
- W2915678886 cites W2086130432 @default.
- W2915678886 cites W2092127319 @default.
- W2915678886 cites W2094016308 @default.
- W2915678886 cites W2094387116 @default.
- W2915678886 cites W2095173344 @default.
- W2915678886 cites W2097383909 @default.
- W2915678886 cites W2105156107 @default.
- W2915678886 cites W2107278960 @default.
- W2915678886 cites W2107524855 @default.
- W2915678886 cites W2111606800 @default.
- W2915678886 cites W2112012939 @default.
- W2915678886 cites W2114905343 @default.
- W2915678886 cites W2116522681 @default.
- W2915678886 cites W2117753850 @default.
- W2915678886 cites W2119801643 @default.
- W2915678886 cites W2123080456 @default.
- W2915678886 cites W2124691860 @default.
- W2915678886 cites W2127195022 @default.
- W2915678886 cites W2134000780 @default.
- W2915678886 cites W2136548668 @default.
- W2915678886 cites W2139168999 @default.
- W2915678886 cites W2143314591 @default.
- W2915678886 cites W2145602080 @default.
- W2915678886 cites W2147811809 @default.
- W2915678886 cites W2153082591 @default.
- W2915678886 cites W2153330886 @default.
- W2915678886 cites W2158673360 @default.
- W2915678886 cites W2182762988 @default.
- W2915678886 cites W2321397969 @default.
- W2915678886 cites W2323979473 @default.
- W2915678886 cites W2327807201 @default.
- W2915678886 cites W2328741600 @default.
- W2915678886 cites W2330142253 @default.
- W2915678886 cites W2331649897 @default.
- W2915678886 cites W2523361804 @default.
- W2915678886 cites W2528987165 @default.
- W2915678886 cites W2551605596 @default.
- W2915678886 cites W2558790578 @default.
- W2915678886 cites W2588186034 @default.
- W2915678886 cites W2767234902 @default.
- W2915678886 cites W2915678886 @default.
- W2915678886 cites W3191823257 @default.
- W2915678886 cites W4254687493 @default.
- W2915678886 cites W4299577428 @default.
- W2915678886 doi "https://doi.org/10.1111/eva.12782" @default.
- W2915678886 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6691217" @default.
- W2915678886 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31417613" @default.
- W2915678886 hasPublicationYear "2019" @default.
- W2915678886 type Work @default.
- W2915678886 sameAs 2915678886 @default.
- W2915678886 citedByCount "22" @default.
- W2915678886 countsByYear W29156788862019 @default.
- W2915678886 countsByYear W29156788862020 @default.
- W2915678886 countsByYear W29156788862021 @default.
- W2915678886 countsByYear W29156788862022 @default.
- W2915678886 countsByYear W29156788862023 @default.
- W2915678886 crossrefType "journal-article" @default.