Impact of spruce forest on rainfall interception and seasonal snow cover evolution in the Western Tatra Mountains, Slovakia

• Published in: Biológia Vol. 64; no. 3; pp. 594 - 599
• Main Authors: Holko, Ladislav, Jaroslav Å kvarenina, Zdeněk Kostka, Michal FriÄ, Juraj StaroÅ
• Format: Journal Article
• Language: English
• Published: Heidelberg Versita 01-06-2009; SP Versita
• Subjects: altitude; Biomedical and Life Sciences; branches; canopy; Cell Biology; energy balance; energy based snow model; forests; interception; Life Sciences; melting; Microbiology; mountains; Plant Sciences; rain; snow; snow cover; snowpack; spruce forest; streams; trees; watersheds; winter; Zoology; Slovakia; energy based snow model; mountains; spruce forest; snow cover; interception
• ISSN: 1336-9563; 0006-3088; 1336-9563
• DOI: 10.2478/s11756-009-0087-6

The paper analyzes the impacts of the spruce forest on precipitation interception and evolution of snow cover in the mountain catchment of the Jalovecký creek, the Western Tatra Mountains, Slovakia. Both processes were monitored at the elevation of 1420 m a.s.l.. Interception was measured from the end of August 2006 until November 2008 by a network of 13 raingauges. Mean interception over the studied period in forest window was 23%. Mean values for the dripping zone under tree branches, near stems of the trees and under the young trees were 28%, 65% and 44%, respectively. With exception of forest window, the interception at the same characteristic positions was highly variable. Calculated daily precipitation thresholds needed to fulfill the storage capacity of the canopy were about 0.8–0.9 mm.
Differences in snow accumulation and melt in the open area (elevation 1500 m a.s.l.) and in the forest were measured in winters 2003–2008. Snow depths (SD) and water equivalents (SWE) were typically smaller in the forest, although the differences were getting smaller towards the end of snow season. SD and SWE in the forest were higher than in the open area for a short time before the end of season in winters 2003 and 2005. The correlations between SD and SWE in the open area and in the forest explained about 90% of variability. The energy balance snow model UEB satisfactorily simulated the evolution of snow cover in the forest and in the open area.