FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2979304476> ?p ?o ?g. }

• W2979304476 endingPage "245" @default.
• W2979304476 startingPage "231" @default.
• W2979304476 abstract "Although marine recreational fisheries are socially and economically important, there is often limited funding for their monitoring and assessment. With South African anglers reporting catch declines for almost all targeted species and little long-term monitoring data available, novel methods need to be explored to provide managers with additional information. This study aimed to evaluate the efficacy of content analysis of print-media records for detecting long-term trends in species composition, size composition and distribution of selected recreational fishery species. Information for eight fishes captured in the marine shore-based fishery was collected from South Africa’s most popular recreational fishery magazine, between 1960 and 2009. During the five decades, there were shifts in the catch composition, from being dominated by slow-growing, large predators to faster-growing, large predators and lower-trophic-level species. There were no significant trends in the mean and maximum sizes of the dominant species, except for dusky kob Argyrosomus japonicus, which increased significantly in the maximum size reported during the study period. The distributional range of A. japonicus and leervis Lichia amia significantly increased, and that of galjoen Dichistius capensis significantly decreased. However, it was uncertain whether these trends could be attributed to population changes, changes in angler technology and/or behaviour, or climate signals. Overall, this type of content analysis may provide a cost-effective method to examine changes in species composition and fish distributions over time, but, without detailed knowledge of shifts in angler behavioural patterns, it may not be as useful for understanding changes in the population dynamics of recreational fishery species. It is suggested that fishery-independent monitoring programmes are most suited for this type of complex fishery." @default.
• W2979304476 created "2019-10-18" @default.
• W2979304476 creator A5061498614 @default.
• W2979304476 creator A5070548347 @default.
• W2979304476 creator A5089979611 @default.
• W2979304476 date "2019-10-07" @default.
• W2979304476 modified "2023-09-26" @default.
• W2979304476 title "Can long-term content analysis of print media be used to examine species composition, population demography and changes in distributional range of recreational fishery species?" @default.
• W2979304476 cites W1518897246 @default.
• W2979304476 cites W1566878161 @default.
• W2979304476 cites W1845676490 @default.
• W2979304476 cites W1915352948 @default.
• W2979304476 cites W1983950287 @default.
• W2979304476 cites W1992546119 @default.
• W2979304476 cites W1995676832 @default.
• W2979304476 cites W1999841546 @default.
• W2979304476 cites W2000828936 @default.
• W2979304476 cites W2003420791 @default.
• W2979304476 cites W2007263482 @default.
• W2979304476 cites W2028802719 @default.
• W2979304476 cites W2029678892 @default.
• W2979304476 cites W2032508060 @default.
• W2979304476 cites W2041156283 @default.
• W2979304476 cites W2042456237 @default.
• W2979304476 cites W2042717571 @default.
• W2979304476 cites W2043258898 @default.
• W2979304476 cites W2059759697 @default.
• W2979304476 cites W2080686056 @default.
• W2979304476 cites W2081232482 @default.
• W2979304476 cites W2086322052 @default.
• W2979304476 cites W2087179372 @default.
• W2979304476 cites W2087866878 @default.
• W2979304476 cites W2097911093 @default.
• W2979304476 cites W2101614371 @default.
• W2979304476 cites W2103025491 @default.
• W2979304476 cites W2123071896 @default.
• W2979304476 cites W2173345986 @default.
• W2979304476 cites W2314030132 @default.
• W2979304476 cites W2322682527 @default.
• W2979304476 cites W2525116809 @default.
• W2979304476 cites W2530409732 @default.
• W2979304476 cites W2744524440 @default.
• W2979304476 cites W2766329715 @default.
• W2979304476 cites W2770115514 @default.
• W2979304476 cites W27733377 @default.
• W2979304476 cites W2800909865 @default.
• W2979304476 cites W2807472118 @default.
• W2979304476 cites W2884474796 @default.
• W2979304476 cites W2910634595 @default.
• W2979304476 cites W3112717819 @default.
• W2979304476 cites W4229571184 @default.
• W2979304476 doi "https://doi.org/10.2989/1814232x.2019.1647285" @default.
• W2979304476 hasPublicationYear "2019" @default.
• W2979304476 type Work @default.
• W2979304476 sameAs 2979304476 @default.
• W2979304476 citedByCount "3" @default.
• W2979304476 countsByYear W29793044762021 @default.
• W2979304476 countsByYear W29793044762023 @default.
• W2979304476 crossrefType "journal-article" @default.
• W2979304476 hasAuthorship W2979304476A5061498614 @default.
• W2979304476 hasAuthorship W2979304476A5070548347 @default.
• W2979304476 hasAuthorship W2979304476A5089979611 @default.
• W2979304476 hasConcept C110269972 @default.
• W2979304476 hasConcept C138885662 @default.
• W2979304476 hasConcept C144024400 @default.
• W2979304476 hasConcept C149923435 @default.
• W2979304476 hasConcept C152382732 @default.
• W2979304476 hasConcept C159985019 @default.
• W2979304476 hasConcept C173656711 @default.
• W2979304476 hasConcept C188382862 @default.
• W2979304476 hasConcept C18903297 @default.
• W2979304476 hasConcept C192562407 @default.
• W2979304476 hasConcept C204323151 @default.
• W2979304476 hasConcept C205649164 @default.
• W2979304476 hasConcept C2908647359 @default.
• W2979304476 hasConcept C2993591741 @default.
• W2979304476 hasConcept C40231798 @default.
• W2979304476 hasConcept C41895202 @default.
• W2979304476 hasConcept C505870484 @default.
• W2979304476 hasConcept C72958200 @default.
• W2979304476 hasConcept C86803240 @default.
• W2979304476 hasConceptScore W2979304476C110269972 @default.
• W2979304476 hasConceptScore W2979304476C138885662 @default.
• W2979304476 hasConceptScore W2979304476C144024400 @default.
• W2979304476 hasConceptScore W2979304476C149923435 @default.
• W2979304476 hasConceptScore W2979304476C152382732 @default.
• W2979304476 hasConceptScore W2979304476C159985019 @default.
• W2979304476 hasConceptScore W2979304476C173656711 @default.
• W2979304476 hasConceptScore W2979304476C188382862 @default.
• W2979304476 hasConceptScore W2979304476C18903297 @default.
• W2979304476 hasConceptScore W2979304476C192562407 @default.
• W2979304476 hasConceptScore W2979304476C204323151 @default.
• W2979304476 hasConceptScore W2979304476C205649164 @default.
• W2979304476 hasConceptScore W2979304476C2908647359 @default.
• W2979304476 hasConceptScore W2979304476C2993591741 @default.
• W2979304476 hasConceptScore W2979304476C40231798 @default.
• W2979304476 hasConceptScore W2979304476C41895202 @default.
• W2979304476 hasConceptScore W2979304476C505870484 @default.

• next