## 2 Materials and Methods
### Habitat Suitability Models
#### 2.2.2 Environmental Database  
The environmental database was built from data of: Primary productivity (PP, mg C m\({}^{-2}\) d\({}^{-1}\)), sea surface temperature (SST, \({}^{\circ}\)C), bathymetry (m), sea surface salinity (SSS), and substratum and coastal type. The primary productivity data (PP), obtained from Oregon State University, were based on data obtained by the sensor MODIS Aqua, which consisted of satellite images complemented with the carbon-based productivity model [33]. SST data was obtained from the sensor MODIS Aqua. Both variables' data were obtained from 2003-2019 on a resolution \begin{table}
\begin{tabular}{c c} \hline
**Data** & **Source** & **Period** \\ \hline
**Occurrence records** & [PERSON] (2010) & 2010 \\ [PERSON] et al. (2006) & 2001–2002 \\ [PERSON] et al. (2007) & 2003 \\ [PERSON] et al. (2012) & 1992–2006 \\ [PERSON] et al. (2018) & 2005–2006 \\ [PERSON] et al. (2011) & 2004–2007 \\ [PERSON] et al. (2012) & 2004–2005 \\ [PERSON] (2012) & 2012 \\ INAPESCA (2014) & 2014 \\ [PERSON] et al. (2016) & 2009–2011 \\ GBIF.org (accessed on 28 February 2019) GBIF Occurrence Download & 1990–2018 \\ OBIS ([[https://obis.org/](https://obis.org/)]([https://obis.org/](https://obis.org/)); accessed on 13 September 2020) & 1990–2014 \\ INaturalist ([[https://www.invariant.org/](https://www.invariant.org/)]([https://www.invariant.org/](https://www.invariant.org/)); accessed on 13 September 2020) & 2016–2019 \\ Oregon State University & 2003–2019 \\
**Primary Production** & ([[https://www.science.oregonstate.edu/ocean.productivity/](https://www.science.oregonstate.edu/ocean.productivity/)]([https://www.science.oregonstate.edu/ocean.productivity/](https://www.science.oregonstate.edu/ocean.productivity/)); accessed on 13 September 2020) \\
**Sea Surface Salinity** & Hycom ([[https://hycom.org/](https://hycom.org/)]([https://hycom.org/](https://hycom.org/)); accessed on 13 September 2020) & 2003–2019 \\
**Sea Surface Temperature** & Modis Aqua ([[https://oceanolor.gsfc.nasa.gov/](https://oceanolor.gsfc.nasa.gov/)]([https://oceanolor.gsfc.nasa.gov/](https://oceanolor.gsfc.nasa.gov/)); accessed on 13 September 2020) & 2003–2019 \\
**Bathymetry** & GEBCO ([[https://www.gebc.net/](https://www.gebc.net/)]([https://www.gebc.net/](https://www.gebc.net/)); accessed on 13 September 2020) & \\
**Primary Production** & Max-Planck-Institut fur Meteorologie \\
**(RCP models)** & ([[https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)]([https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)); accessed on 13 September 2020) & 2006–2100 \\
**Sea Surface Temperature** & Max-Planck-Institut fur Meteorologie \\
**(RCP models)** & ([[https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)]([https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)); accessed on 13 September 2020) & 2006–2100 \\
**Sea Surface Salinity** & Max-Planck-Institut fur Meteorologie \\
**(RCP models)** & ([[https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)]([https://esgf-node.lnl.gov/projects/esgf-lnl/](https://esgf-node.lnl.gov/projects/esgf-lnl/)); accessed on 13 September 2020) & 2006–2100 \\ \hline \end{tabular}
\end{table} 
Table 1: Environmental and occurrence records used to create the species distribution model of shrimps. of 9.2 km. The SSS was obtained from a HYCOM (HYbrid Coordinate Ocean Model) [34] model from 2003-2019 and were interpolated using an inverse distance weighted (IDW) scheme on the same resolution and spatial coverage as the SST and the PP. These data were averaged to generate climatology for each season, which were used to develop models of the shrimp distribution (Table 1).