Data for: Sea-level rise effects on macrozoobenthos distribution within an estuarine gradient using Species Distribution Modeling

1. R code (R Markdown file)
Complete simulation for the taxon Cirratulidae

2. Occurrence data
This file contains data indicating where sediment samples containing benthic organisms were sampled. The sampling campaign is indicated by the site name and the location of the collection point (latitude and longitude). Finally, data on taxa (name and abundance) collected in the Jaguaripe River estuary between 2006 and 2019 are presented.

3. Environmental layers
The environmental Layers were obtained from the data collected in situ. Then they were interpolated using IDW (Inverse Distance Weighted) in ArcGIS and converted from raster format to text (.asc) format.
The layers used in this simulation are salinity and different sediment fractions. The salinity data (minimum and maximum) from the Jaguaripe River estuary were recorded using a multiparameter probe (Horiba) and data-logger sensors (HOBO). The sea-level rise scenarios were proposed through the quantitative synthesis from a systematic review of numerical models that simulated saline intrusion as a result of sea-level rise in estuaries (Costa et al., “Trends in the effects of sea-level rise in estuaries: A qualitative and quantitative synthesis towards a simple general model to estimate future saline intrusion in estuaries”, unpublished). The predict function in R software (R Development Core Team, 2016) was used in the GLM (i.e., multiple regression model) to obtain the saline intrusion values for each scenario. The sediment classes used as environmental layers were pebble, granule, very coarse sand (vcsand), coarse sand (csand), medium sand (msand), fine sand (fsand), very fine sand (vfsand) and mud (silt and clay fractions).