Interactions amplify cumulative effects in marine food webs - Data Input (Q5662)

README for Input Data Archive Overview This README describes the input datasets prepared for the analyses for the manuscript titled "Interactions amplify cumulative effects in marine food webs", presenting a cumulative effects assessment on food webs in the Estuary and Gulf of St. Lawrence. The code to replicate the analyses is available on GitHub: https://github.com/Ecosystem-Assessments/nceastl and the input data is described here. The data has been processed and formatted into tabular format (i.e., CSV files) and geospatial raster files (i.e., GeoTIFFs). Below is a detailed description of the datasets included in the archive. Included Data 1. Species List - Description: A comprehensive list of species used in the assessment, with species names formatted to remove extra characters or spaces for consistency. - File: - `SpeciesList.csv`: Tabular format of species list. - **Column description**: - `species`: Full scientific name of the species, including genus and species. - `Count`: Total count or frequency of the species in the dataset. - `sp`: Simplified representation of the species name (genus and species separated by a space). - `sp.`: Simplified representation of the species name (genus and species separated by a period). - `species`.: Fully concatenated scientific name with genus and species joined by a period. 2. Simulated Trophic Sensitivities - Description: Sensitivities of species to various trophic drivers, adapted from a study by Beauchesne et al. (2021; Ecology Letters, 10.1111/ele.13841). - File: - `TrophicSensitivity.csv`: Tabular format of trophic sensitivities. - Column description: - `pathID`: Identifier for the specific pathway of effect analyzed. - `SpeciesID`: Unique identifier for the species involved in the motif. - `motifID`: Identifier for the motif within the trophic network. - `Species`: Label or shorthand representation of the species in the pathway. - `pi`: Indicator of the species' presence in position "i" within the pathway (Boolean: True/False). - `pj`: Indicator of the species' presence in position "j" within the pathway (Boolean: True/False). - `pk`: Indicator of the species' presence in position "k" within the pathway (Boolean: True/False). - `sensitivity_original`: Original sensitivity value for the species within the trophic pathway. - `sensitivity_scaled`: Scaled sensitivity value, normalized for comparison across pathways. - `sensitivity_1`: Sensitivity value adjusted for a specific analysis or scenario. 3. Biotic Data - Description: Species presence data transformed into logical matrices and geospatial rasters. Assumes phytoplankton and zooplankton are ubiquitous in the study area. - Files: - `txNames.csv`: String of names of taxa included in the biotic dataset. - `bt.csv`: Logical matrix of species presence with one row per raster cell and one column per species. - `idBiotic.csv`: Logical string identifying cells with biotic data. - `r.tif`: Empty raster file for reference. - `biotic/`: Folder containing GeoTIFF files for each species. 4. Metaweb - Description: Interaction matrix representing trophic links between species. Includes only species present in the biotic dataset. - File: - `metaweb.csv`: Interaction matrix in tabular format, with species names as column and row names. 5. Species-Specific Sensitivities - Description: Sensitivities of species to different drivers, with added records for phytoplankton and zooplankton (assumed insensitive to all drivers). - File: - `species_sensitivity.csv`: Tabular format of species sensitivities to all environmental drivers considered, with driver names as columns and taxa names as row names. 6. Drivers Data - Description: Environmental drivers affecting species, aligned with vulnerability assessments. Data is provided in matrix and raster formats. - Files: - `dr.csv`: Matrix of drivers intensity with one row per raster cell and one column per driver. - `drivers/`: Folder containing GeoTIFF files for each driver. Contact For questions or clarifications about the dataset, please contact [David Beauchesne] at [david.beauchesne@insileco.io].