Published on 15 June 2022
Evapotranspiration and energy partitioning across a forest-shrub vegetation gradient in a subarctic, alpine catchment
View DatasetCarey, Sean K.
Description
This dataset includes meteorological and eddy covariance data from the three sites outlined in the manuscript, "Evapotranspiration and energy partitioning across a forest-shrub vegetation gradient in a subarctic, alpine catchment" by Nicholls and Carey in Journal of Hydrology (2021). This includes data from a white spruce boreal forest (2017-2020), a tall, dense shrub taiga site (2015-2020), and a short, sparse shrub taiga site (2015-2020).
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Publication Details
DOI
Publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
Subfield
Education
Field
Social Sciences
Domain
Social Sciences
Confidence Score
49%
Source
Scholar Data Model
Keywords
Evapotranspirationsurface energy balancealbedoshrubificationvegetation changesubalpine taigaboreal forestHydrometeorologyHydrométéorologie