Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho

• Published in: Environmental research letters Vol. 18; no. 4; pp. 44014 - 44024
• Main Authors: Strickfaden, Kaitlyn M, Marshall, Adrienne M, Svancara, Leona K, Ausband, David E, Link, Timothy E
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01-04-2023
• Subjects: Best practice; Canopies; Climate change; cold-air pooling; Elevation; Forest management; Hydroclimate; Hydrology; Rain; rain-snow transition zone; Refugia; Snow; Snow cover; Snow depth; snow disappearance date; snow refugia; snow retention; Snowpack; Spatial discrimination; Spatial distribution; Spatial resolution; Temporal distribution; Terrain; Transition zone; Wildlife; Wildlife habitats; Wildlife management
• ISSN: 1748-9326; 1748-9326
• DOI: 10.1088/1748-9326/acbb90

Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack conditions. We built linear models to relate SDDs at the monitoring sites to topoclimatic and canopy cover metrics. One model to quantify SDDs included elevation, aspect, and an interaction between canopy cover and cold-air pooling potential. High-elevation, north-facing sites in cold-air pools (CAPs) had the latest SDDs, but isolated lower-elevation points also exhibited relatively late potential SDDs. Importantly, canopy cover had a much stronger effect on SDDs in CAPs than in non-CAPs, indicating that best practices in forest management for snow refugia could vary across microtopography. A second model that included
in situ
hydroclimate observations (December
–
February (DJF) temperature and March 1 snow depth) indicated that March 1 snow depth had little impact on SDD at the coldest winter temperatures, and that DJF temperatures had a stronger effect on SDD at lower snow depths, implying that the relative importance of snowfall and temperature could vary across hydroclimatic contexts in their impact on snow refugia. This new understanding of factors influencing snow refugia can guide forest management actions to increase snow retention and inform management of snow-dependent wildlife species in complex terrain.