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Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site


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Carson, D.R. 2010. Quantification of snow pack mass and energy dynamics across a canopy discontinuity. M.S. Thesis. Department of Forest Resources, University of Idaho.


UIEF_wind Summary: Within the Flat Creek Unit of the University of Idaho Experimental Forest (UIEF) near Moscow, ID, 30-minute snow depth and meteorological data were collected at seven locations across the Lawler Landing site (elevation 880 m) from February to May of WY 2008. A 70 m north-south oriented transect of 5 snow depth sensors was deployed to record sub-daily snow depth, with co-located meteorological instruments. The sensors traversed a 40 m long elliptical forest gap and the adjacent forest in both directions. The locations were the same as those used previously to quantify how shortwave and longwave radiation vary across a forest gap [Lawler and Link, 2011]. Two additional snow depth sensors and meteorological stations [...]


Principal Investigator :
Timothy Link
Cooperator/Partner :
Susan E. Dickerson-Lange
Distributor :
U.S. Geological Survey - ScienceBase
Metadata Contact :
Susan E. Dickerson-Lange
Originator :
Timothy Link

Attached Files

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UIEF_Location_Metadata.csv 624 Bytes text/csv
UIEF_Location_Metadata_README.txt 1.68 KB text/plain
UIEF_snowdepth_WY2008.csv 5.76 MB text/csv
UIEF_snowdepth_WY2008_README.txt 1.67 KB text/plain
UIEF_wind_WY2008.csv 1.71 MB text/csv
UIEF_wind_WY2008_README.txt 3.02 KB text/plain


Climate change is projected to cause earlier snowmelt, with potentially serious consequences for terrestrial and aquatic ecosystems and for municipal and agricultural water supplies. However, if forests can be managed to retain snow longer, some of these environmental and financial impacts may be mitigated. Recent results from our research team demonstrate that in areas with relatively warm winters, strategically-cut forest gaps could offset climatic warming by increasing snow retention on the landscape and delaying runoff. However, in areas with colder winters, the opposite is true, as snow lasts longer under the forest canopy. We will map these climate-forest-snow interactions across the Pacific Northwest, predicting how forest change is likely to affect snow duration in different locations and testing those predictions against careful observations from our field sites and a network of citizen scientists. Working with regional forest and water managers, we will identify strategies for applying these findings to decision-making, linking climate-forest-snow interactions to ecohydrologic conditions important to management. Results from this project will help managers to act strategically to maximize snow retention (protecting forests in some areas while opening gaps in others), providing more water later in the season for hydropower, agriculture, and fish flows.

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