Replication Data for: Natural variation in snow depth and snow melt timing in the High Arctic have implications for soil and plant nutrient status and vegetation composition ...
Data used for Moriana-Armendariz et al. 2022- Natural variation in snow depth and snow melt timing in the High Arctic have implications for soil and plant nutrient status and vegetation composition Snow cover is a key component in Arctic ecosystems and will likely be affected by changes in winter pr...
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| Format: | Dataset |
| Language: | unknown |
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DataverseNO
2022
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| Online Access: | https://dx.doi.org/10.18710/c9xwrd https://dataverse.no/citation?persistentId=doi:10.18710/C9XWRD |
| Summary: | Data used for Moriana-Armendariz et al. 2022- Natural variation in snow depth and snow melt timing in the High Arctic have implications for soil and plant nutrient status and vegetation composition Snow cover is a key component in Arctic ecosystems and will likely be affected by changes in winter precipitation. Increased snow depth and consequent later snowmelt leads to greater microbial mineralization in winter, improving soil and vegetation nutrient status. We studied areas with naturally differing snow depths and date of snowmelt in Adventdalen, Svalbard. Soil properties, plant leaf nutrient status and species composition along with vegetation indices (NDVI) were compared for three snowmelt regimes (Early, Mid and Late). We showed: 1) Late regimes (snow beds) had wetter soils, higher pH and leaves of Bistorta vivipara and Salix polaris had higher concentration of nutrients (nitrogen and d15N). Little to no difference was found in soil nutrient concentrations between snowmelt regimes. 2) Late regimes had ... |
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