Matches in SemOpenAlex for { <https://semopenalex.org/work/W2974553635> ?p ?o ?g. }
- W2974553635 endingPage "2083" @default.
- W2974553635 startingPage "2074" @default.
- W2974553635 abstract "Biological invasions are a primary threat to global biodiversity, supporting mounting calls for the development of early‐warning systems to manage existing and emerging invaders. Here, we evaluated the geographical pattern of invasion risks of currently established and potentially emerging nonnative freshwater fishes in China by jointly considering the threats of introduction and establishment under climate change. Introduction threats were estimated according to proxies of human activities and propagule pressure for two primary pathways (aquaculture or ornamental). Establishment threats for 51 current and 64 potential invaders (based on whether having established or not self‐sustaining populations) were assessed using an ensemble of species distribution models under current (1960–1990) and future [2041–2060 (2050s) and 2061–2080 (2070s)] climate scenarios. Geographical patterns of invasion risk were then assessed by overlaying the threats of introduction and establishment for each species group both in present‐day and in the future. We found that eastern China displayed the highest threat of introduction. By contrast, southeastern and northwestern regions were identified as the most suitable for the establishment of both current and potential invaders. Under a changing climate, 83 out of 115 species displayed an increase in habitat suitability, resulting in an overall increase of 4.8% by 2050s and 7.1% by 2070s in the extent of suitable habitat for nonnative freshwater fishes. Taken together, invasion risk was found to be highest in southeastern China and lowest in the Tibet Plateau. Our research highlights the importance of assessing invasion risk by integrating the threats associated with the introduction and establishment stages. In particular, our findings revealed convergent patterns of invasion risk between current and potential nonnative freshwater fishes under climate change. Geographic patterns in hotspots of existing and emerging invasions provide critical insights to guide the allocation of resources to monitor and control existing and emerging invasions in China." @default.
- W2974553635 created "2019-09-26" @default.
- W2974553635 creator A5018591830 @default.
- W2974553635 creator A5046016932 @default.
- W2974553635 creator A5049346557 @default.
- W2974553635 creator A5051578642 @default.
- W2974553635 creator A5074337207 @default.
- W2974553635 date "2019-09-19" @default.
- W2974553635 modified "2023-10-14" @default.
- W2974553635 title "Current and projected future risks of freshwater fish invasions in China" @default.
- W2974553635 cites W1526319989 @default.
- W2974553635 cites W1540264214 @default.
- W2974553635 cites W1541774929 @default.
- W2974553635 cites W1751153847 @default.
- W2974553635 cites W1919815506 @default.
- W2974553635 cites W1944739169 @default.
- W2974553635 cites W1970077040 @default.
- W2974553635 cites W1976010254 @default.
- W2974553635 cites W1981419118 @default.
- W2974553635 cites W1991691903 @default.
- W2974553635 cites W1998515817 @default.
- W2974553635 cites W2002758482 @default.
- W2974553635 cites W2007900882 @default.
- W2974553635 cites W2042783301 @default.
- W2974553635 cites W2045451950 @default.
- W2974553635 cites W2056868695 @default.
- W2974553635 cites W2070209782 @default.
- W2974553635 cites W2089880576 @default.
- W2974553635 cites W2092141482 @default.
- W2974553635 cites W2094836499 @default.
- W2974553635 cites W2095766166 @default.
- W2974553635 cites W2098970432 @default.
- W2974553635 cites W2108067522 @default.
- W2974553635 cites W2111796869 @default.
- W2974553635 cites W2112315008 @default.
- W2974553635 cites W2112591101 @default.
- W2974553635 cites W2112776483 @default.
- W2974553635 cites W2115268776 @default.
- W2974553635 cites W2116344271 @default.
- W2974553635 cites W2117893129 @default.
- W2974553635 cites W2123337039 @default.
- W2974553635 cites W2137778023 @default.
- W2974553635 cites W2150461836 @default.
- W2974553635 cites W2152358688 @default.
- W2974553635 cites W2152900659 @default.
- W2974553635 cites W2154141060 @default.
- W2974553635 cites W2154943365 @default.
- W2974553635 cites W2157666883 @default.
- W2974553635 cites W2158529668 @default.
- W2974553635 cites W2159330259 @default.
- W2974553635 cites W2168199345 @default.
- W2974553635 cites W2169912340 @default.
- W2974553635 cites W2170565777 @default.
- W2974553635 cites W2171675471 @default.
- W2974553635 cites W2176635133 @default.
- W2974553635 cites W2481089865 @default.
- W2974553635 cites W2514246807 @default.
- W2974553635 cites W2519658880 @default.
- W2974553635 cites W2528350573 @default.
- W2974553635 cites W2538115536 @default.
- W2974553635 cites W2581092912 @default.
- W2974553635 cites W2589111306 @default.
- W2974553635 cites W2594171050 @default.
- W2974553635 cites W2623426691 @default.
- W2974553635 cites W2749998500 @default.
- W2974553635 cites W2792295284 @default.
- W2974553635 cites W2802254622 @default.
- W2974553635 cites W2886059952 @default.
- W2974553635 cites W2889489537 @default.
- W2974553635 cites W2901199346 @default.
- W2974553635 cites W2912473745 @default.
- W2974553635 cites W2915690151 @default.
- W2974553635 cites W2951402359 @default.
- W2974553635 doi "https://doi.org/10.1111/ecog.04665" @default.
- W2974553635 hasPublicationYear "2019" @default.
- W2974553635 type Work @default.
- W2974553635 sameAs 2974553635 @default.
- W2974553635 citedByCount "18" @default.
- W2974553635 countsByYear W29745536352021 @default.
- W2974553635 countsByYear W29745536352022 @default.
- W2974553635 countsByYear W29745536352023 @default.
- W2974553635 crossrefType "journal-article" @default.
- W2974553635 hasAuthorship W2974553635A5018591830 @default.
- W2974553635 hasAuthorship W2974553635A5046016932 @default.
- W2974553635 hasAuthorship W2974553635A5049346557 @default.
- W2974553635 hasAuthorship W2974553635A5051578642 @default.
- W2974553635 hasAuthorship W2974553635A5074337207 @default.
- W2974553635 hasBestOaLocation W29745536351 @default.
- W2974553635 hasConcept C130217890 @default.
- W2974553635 hasConcept C132651083 @default.
- W2974553635 hasConcept C136020623 @default.
- W2974553635 hasConcept C144024400 @default.
- W2974553635 hasConcept C149923435 @default.
- W2974553635 hasConcept C166957645 @default.
- W2974553635 hasConcept C173651095 @default.
- W2974553635 hasConcept C185933670 @default.
- W2974553635 hasConcept C18903297 @default.
- W2974553635 hasConcept C191935318 @default.