Road‐crossing structures limit organism movement, but their passabilities are rarely measured because they are numerous and time‐consuming to survey. Instead, road‐crossing passability could be treated in one of four ways: assuming equal passability at all locations (uniform method), assigning random passability values sampled from barrier surveys (random sample method), using remote sensing data to infer presence (presence/absence method) or rate passability (rating category method). Each prediction method produces different passability estimates for individual barriers, but how these differences affect river connectivity estimates has not been systematically evaluated. We compared river connectivity estimates from these four road‐crossing passability prediction methods in the Bear River Basin, USA. We parameterized barrier passability methods with Bonneville Cutthroat Trout Oncorhynchus clarkii utah passage survey data at 140 road crossings. Road crossings blocked fish passage at 37% of survey locations. Those road‐crossing barriers that obstructed fish movement also decreased the proportion of connected reaches in the river network from 12% (with dams and all road crossings assumed to be passable) to just 3%. All passability prediction methods produced similar results and had considerable uncertainty predicting passability for individual barriers. Our findings suggest that simpler methods, like uniform or random sample road‐crossing passability predictions, are sufficient to characterize river connectivity. Our work highlights the importance of identifying road crossings that act as barriers to organism passage and identifies critical limitations to predicting barrier status for connectivity analysis and conservation planning.
Predicting Road‐Crossing Passability for River Connectivity Analysis
Gregory C. Goodrum,Charles P. Hawkins,Timothy E. Walsworth,S. Null
Published 2025 in Rivers Research and Applications: an international journal devoted to river research and management
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
Rivers Research and Applications: an international journal devoted to river research and management
- Publication date
2025-02-25
- Fields of study
Not labeled
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-69 of 69 references · Page 1 of 1
CITED BY
Showing 1-1 of 1 citing papers · Page 1 of 1