An environmental resistance model to inform the biogeography of aquatic invasions in complex stream networks

Freshwater invasions are a global conservation issue. Emerging tools for biogeographical analyses can provide critical information for their effective management and monitoring. Here, we propose a method to assess the distribution of environmental resistance of stream ecosystems to biological invasions by coupling multi‐stage habitat potential models for non‐native species. Location: Andean Patagonia (Chile and Argentina).Taxa: North American beaver (Castor canadensis), Chinook salmon (Oncorhynchus tshawytscha), and coho salmon (O. kisutch). Methods: Environmental resistance to invasive species was mapped throughout a large region of Patagonia by stacking multi‐stage habitat relationships for each target species and assessing the complementation between critical habitats at multiple scales. We generated an environmental model of stream networks derived from high‐resolution topographic and climatic data representing 15,406 drainage basins (>1 km2) covering an area of 369,791 km2. We q..., , , # An environmental resistance model to inform the biogeography of aquatic invasions in complex stream networks

[https://doi.org/10.5061/dryad.3tx95x6jf](https://doi.org/10.5061/dryad.3tx95x6jf)

## Description of the data and file structure

### Origin datasets

* Digital Elevation Model (12.5-m resolution, ALOS PALSAR, JAXA/U. Alaska Fairbanks)
* Average Annual Precipitation Model 30-year Normal (1970-2000) (1K resolution, WorldClim)
* Human-made barriers (GOODD v2, Global Dam Watch)
* Natural barriers (OpenStreetMaps)
* Stream gauges (CAMELS-CL, CR2)
* Land cover (10-m resolution, ESRI)

### Geoprocessing summary

DEM-derived reach-scale hydrogeomorphic model of stream networks, reclassified with habitat suitability metrics for North American beaver (*Castor canadensis*), Chinook salmon (*Oncorhynchus tshawytscha*), and coho salmon (*Oncorhynchus kisutch*). Model outputs are summarized at sub-basin and basin scales. All geoprocessing was conducted on ArcGIS Pro 2.9 (ESRI, 2022).

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