Observational tracking and imaging study reveals weather and distance drive power-line conspicuity in breeding cranes, highlighting priorities for targeted mitigation.
Overhead power lines increasingly intersect alpine wetland and grassland habitats on the Qinghai–Tibet Plateau, but variation in wire conspicuity within collision-associated areas remains poorly quantified. We combined GPS-GSM tracking and field verification to document infrastructure-associated mortality and separately used standardized UAV RGB images to characterize power-line conspicuity at the Luanhaizi Wetland, Qinghai Province. From 2020 to November 2025, we monitored 40 Black-necked Cranes (Grus nigricollis); nine were alive at the data cutoff, 23 were confirmed dead, and eight were lost to follow-up. Among the confirmed deaths, nine were classified from field evidence as wire-mesh fence entanglements and 14 as power-line collisions. All 14 field-inferred collision deaths involved 110 kV lines in this monitored sample. Accordingly, the UAV assessment focused on a selected section within the documented 110 kV collision-associated area; this site-selection criterion does not demonstrate that 110 kV lines are intrinsically more hazardous than other local voltage classes. We analyzed 640 UAV images and calculated an image-based visibility index (VI) combining normalized RGB target–background contrast and edge strength. VI describes relative wire conspicuity in standardized photographs rather than Black-necked Crane visual perception or collision probability. Blocked non-parametric tests showed that VI was lower under overcast than clear conditions (p < 0.001) and varied with observation distance and relative UAV height (both p < 0.001), whereas viewing angle was not significant (p = 0.065) and time of day showed a weak effect (p = 0.030). VI rankings remained reasonably stable under alternative component weightings. This two-stage approach uses documented mortality to identify candidate sections for image-based assessment but does not test whether low VI predicts collisions. It can support targeted marker trials that require independent evaluation through standardized collision monitoring.
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