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Data and source code for "Bayesian analyses of seventeen winters of water vapor fluxes show bark beetles reduce sublimation"

dataset
posted on 2024-09-12, 20:04 authored by John M. Frank, William J. Massman, Brent E. Ewers, David G. Williams
Sublimation is important to the water cycle of cold, snow dominated ecosystems, many of which have been recently disturbed. In high elevation spruce-fir forests of western North America spruce beetle outbreaks have killed trees, reduced the canopy, and altered the processes that control sublimation. This publication includes the data, source code used for statistical analyses, and Bayesian posterior distributions used in Frank et al. 2018 (in review). That study evaluates two hypotheses in these ecosystems: (1) the dominant source for sublimation is canopy intercepted snow and (2) the loss of canopy following a beetle disturbance leads to less total sublimation. To incorporate uncertainty hierarchically across multiple data sources and address phenomenological parsimony, Bayesian statistics were used to analyze seventeen years (2000-2016) of winter eddy covariance flux data at the Glacier Lakes Ecosystem Experiments Site (GLEES) AmeriFlux sites where a spruce beetle outbreak caused 75-85% basal area mortality. This data publication includes micrometeorological data from the GLEES AmeriFlux sites for water years 2000-2016, water vapor stable isotope concentrations for water years 2014-2016, MODIS leaf-area index around the AmeriFlux scaffold from 2000-2015, and subcanopy four-component radiation measurements from 2014-2016 as well as modeled predictor variables for heat flux into the snowpack, energy storage in the canopy, leaf area index, and Beer’s law canopy extinction coefficient. This archive includes source code that analyzes sublimation data using a hierarchical Bayesian statistical model based on these data and modeled predictor variables. Finally, the posterior distributions for process parameters and derived quantities resulting from the Bayesian statistical analyses are included.
These data were collected as part of the AmeriFlux network of eddy covariance ecosystem flux sites. These sites were established for long term monitoring of the ecosystem exchange of water vapor, carbon dioxide, and energy between the land surface and the atmosphere. Two sites were located at the Glacier Lakes Ecosystem Experiments Site (GLEES), starting with the Brooklyn Tower (US-GBT) which was operational from 1999-2006. The AmeriFlux scaffold (US-GLE) has been active from 2004-present.

Funding

USDA-FS

History

Data contact name

John Frank

Data contact email

fsrda@fs.fed.us

Publisher

Forest Service Research Data Archive

Use limitations

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: Frank, John M.; Massman, William J.; Ewers, Brent E.; Williams, David G. 2018. Data and source code for "Bayesian analyses of seventeen winters of water vapor fluxes show bark beetles reduce sublimation". Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0032

Temporal Extent Start Date

1999-10-01

Temporal Extent End Date

2016-09-30

Theme

  • Not specified

Geographic Coverage

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Geographic location - description

Data were obtained from two sites at the Glacier Lakes Ecosystem Experiments Site (GLEES), which is located in the Medicine Bow National Forest in southeastern Wyoming.

ISO Topic Category

  • climatologyMeteorologyAtmosphere
  • biota

National Agricultural Library Thesaurus terms

Forestry, Wildland Management

OMB Bureau Code

  • 005:96 - Forest Service

OMB Program Code

  • 005:059 - Management Activities

Pending citation

  • No

Public Access Level

  • Public

Identifier

RDS-2018-0032