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- W4296070891 endingPage "101816" @default.
- W4296070891 startingPage "101816" @default.
- W4296070891 abstract "The sea-level rise induced by climate change has caused impacts (e.g., floods and saline intrusion) in estuaries. In this work, we used monitoring data (salinity, sediment and taxa occurrence), simulated saline intrusion and Species Distribution Model to predict the spatial distribution of families in the estuary at two levels of SLR (0.5 m and 1 m) for two scenarios (moderate and extreme). For the simulation, we used the ensemble method applied to five models (MARS, GLM, GAM, RF and BRT). High AUC and TSS values indicated “good” to “excellent” accuracy. RF and GLM obtained the best and worst values, respectively. The model predicted local extinctions and new colonization in the upper estuarine zones. With the effects of climate change intensifying, it is extremely important that managers consider the use of predictive tools to anticipate the impacts of climate change on a local scale on species migration." @default.
- W4296070891 created "2022-09-17" @default.
- W4296070891 creator A5006495722 @default.
- W4296070891 creator A5030730458 @default.
- W4296070891 creator A5054128356 @default.
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- W4296070891 date "2022-11-01" @default.
- W4296070891 modified "2023-10-16" @default.
- W4296070891 title "Sea-level rise effects on macrozoobenthos distribution within an estuarine gradient using Species Distribution Modeling" @default.
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- W4296070891 doi "https://doi.org/10.1016/j.ecoinf.2022.101816" @default.
- W4296070891 hasPublicationYear "2022" @default.
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