Data from: Next-generation matrices for marine metapopulations: the case of sea lice and salmon farms ...
AbstractClassifying habitat patches as sources or sinks and determining metapopulation persistence requires coupling connectivity between habitat patches with local demographic rates. While methods to calculate sources, sinks, and metapopulation persistence exist for discrete-time models, there is n...
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| Format: | Dataset |
| Language: | unknown |
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Borealis
2023
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| Online Access: | https://dx.doi.org/10.5683/sp3/xozliz https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/XOZLIZ |
| Summary: | AbstractClassifying habitat patches as sources or sinks and determining metapopulation persistence requires coupling connectivity between habitat patches with local demographic rates. While methods to calculate sources, sinks, and metapopulation persistence exist for discrete-time models, there is no method that is consistent across modelling frameworks. In this paper, we show how next-generation matrices, originally popularized in epidemiology to calculate new infections after one generation, can be used in an ecological context to calculate sources and sinks as well as metapopulation persistence in marine metapopulations. To demonstrate the utility of the method, we construct a next-generation matrix for a network of sea lice populations on salmon farms in the Broughton Archipelago, BC, an intensive salmon farming region on the west coast of Canada where certain salmon farms are currently being removed under an agreement between local First Nations and the provincial government. The column sums of the ... |
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