This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. Description of files Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data R Scripts & Data This folder contain several R scripts and data files to used calculate the values in zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. Predictions* Species Predictions all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2. all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2. all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2. Species Group Predictions all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3). Prediction Shapefiles Species Name Contractions.csv: file with key to name contractions in the shapefile datasets Shapfiles: spatial representations of the Predictions datasets based on the 1km2 grid * N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum