The global fish and invertebrate abundance value of mangroves dataset

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 bioRxiv preprint, zu Ermgassen et al. (2024) The global fish and invertebrate abundance value of mangroves

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. (2024) The global fish and invertebrate abundance value of mangroves. 

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 1 km2.
• 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 1 km2.
• 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 1 km2.
• Species Name Contractions.csv: file with key to name contractions in above datasets
• Shapfiles: spatial representations of the above datasets based on the 1km2 grid

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 1 km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).
• Shapfiles: spatial representations of the above dataset based on the 1km2 grid

* N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum