Incorporating local information to predict thermal stress for diverse species

Pacific salmonids are incredibly diverse and critical for both ecosystems and human consumers. Although salmon conservation recognizes the importance of diversity for viability, most previous studies have oversimplified phenology and life history diversity that dictate local environmental exposure and influence responses to climate change. I combined subpopulation-level spatial distributions and phenologies with monthly stream temperature to explore modern and future patterns in freshwater thermal stress for 449 subpopulations across 21 coho salmon (Oncorhynchus kisutch) and steelhead trout (O. mykiss) management units, 14 of which are listed as either Threatened or Endangered under the United States Endangered Species Act. Under modern conditions, 37% of coho and 90% of steelhead subpopulations were exposed to thermally stressful conditions. Under a simple 2°C climate warming scenario, 91% of subpopulations and the majority of subpopulations in 20 of 21 management units would be therm..., Spatial distribution datasets
Coho (n = 102,288; July 2020) and steelhead (i.e., the anadromous form of O. mykiss) observations (n = 154,724; August 2021) in California, Oregon, Washington, Idaho, and Montana were extracted from six point-observation and distribution data sources. I removed any observations that were outside of a DPS (based on DPS distribution shapefiles, obtained from http://www.westcoast.fisheries.noaa.gov/maps_data/Species_Maps_Data.html)to avoid fish stocking and transplants. I next vetted observations that had a georeferenced accuracy > 500m, were greater than 500 m from the stream network, observed prior to 1993 (to match the temporal purview of the stream temperature modeling; see below), or were duplicated. This resulted in a single observation per stream segment. Observations in Idaho or Montana were removed because the stream temperature predictions did not include those states (FitzGerald et al. 2021), but I mention them above for completeness. Next, each ..., , # Data from: Incorporating local information to predict thermal stress for diverse species

[https://doi.org/10.5061/dryad.x0k6djht4](https://doi.org/10.5061/dryad.x0k6djht4)

## Description of the data and file structure

This README file is associated with data and analyses from publication \"Incorporating local information to predict thermal stress for diverse species\" by FitzGerald, A. M., 2025, Canadian Journal of Fisheries & Aquatic Sciences. The Coho salmon and steelhead trout spatial distribution datasets are csv files (n = 4), R scripts are provided to replicate data (n = 2), and supplemental results are provided (n = 2). Each csv dataset has 51 columns, detailed below. The files are: \"Coho_spatialdistrib.csv\" (35,374 rows, including headers); \"Coho_spatialdistrib_abovedams.csv\" (2,546 rows, including headers); \"STL_spatialdistrib.csv\" (50,984 rows, including headers); and \"STL_spatialdistrib_abovedams.csv\" (39,989 rows, including headers). Each row represents a single occur...