Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits"

Yang, Yan; Klein, Julia A.; Winkler, Daniel E.; Peng, Ahui; Lazarus, Brynne E.; Germino, Matthew J.; Suding, Katharine N.; Smith, Jane G.; Kueppers, Lara M.

doi:10.15485/1773006

Title: Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits"

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Abstract

This archive contains data used to draw conclusions in “Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits”, by Yang et al. 2020. Data were collected on Niwot Ridge, in an alpine meadow within the Alpine Treeline Warming Experiment (ATWE) field sites in Colorado, USA. Samples were also processed in the U.S. Geological Survey Forest and Rangeland Ecosystem Science Center, in Boise, Idaho. File formats in this archive include comma-separated values (.csv), portable document format (.pdf), Microsoft Excel (.xlsx), and two types of geospatial files: keyhole markup language (.kml), and ESRI shapefiles (.shp). Leaf scans are .jpg images, and root scans are .tiff/.tif images.The .csv files can be opened using R, Microsoft Excel, or any simple text-editing software such as TextEdit and Notepad. Microsoft Excel files can be opened using Microsoft Excel, and .pdf files can be opened with Adobe Acrobat Reader, Preview, or other compatible programs. Scanned images can be opened using any photo and/or picture viewing software.The .kml file can be opened using Google Earth and Google Maps, and the shapefiles can be opened by any programs compatible with shapefiles, such as the ArcGIS Desktop suite, and QGIS.------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Measures of belowground net primary productivitymore »« less

Authors:

;

; Smith, Jane G.;

Institute of Mountain Hazards and Environment, Chinese Academy of Sciences; University of California Berkeley
Colorado State University
U.S. Geological Survey
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
University of Colorado at Boulder
University of California Berkeley

Publication Date:: Fri Jan 01 04:00:00 UTC 2021

DOE Contract Number:: FG02-07ER64457; SC0007071

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Subalpine and Alpine Species Range Shifts with Climate Change: Temperature and Soil Moisture Manipulations to Test Species and Population Responses (Alpine Treeline Warming Experiment)

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER); University of California Merced; National Natural Science Foundation of China; US National Science Foundation

Subject:: 13C/12C isotope ratio; 54 ENVIRONMENTAL SCIENCES; ANPP; Aboveground net primary productivity; Average root diameter; BNPP; Belowground net primary productivity; Dry leaf weight; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS; EARTH SCIENCE > BIOSPHERE > VEGETATION; Fresh leaf weight; Ground cover; Leaf area; Leaf dry mass content; Leaf mass area; Leaf scans; NPP; Net primary productivity; Rocky Mountains; Root length; Root scans; Root tissue density; SRL; Saturated leaf weight; Soil moisture; Soil temperature; Species richness; Specific root length; Total root length; Total root volume; Vegetation cover; Volumetric water content; Water use efficiency; alpine tundra; belowground plant production; functional traits; soil moisture; warming; water-use efficiency

OSTI Identifier:: 1773006

DOI:: https://doi.org/10.15485/1773006

Citation Formats


                    Yang, Yan, Klein, Julia A., Winkler, Daniel E., Peng, Ahui, Lazarus, Brynne E., Germino, Matthew J., Suding, Katharine N., Smith, Jane G., and Kueppers, Lara M. Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits".  United States: N. p., 2021. 
        Web.  doi:10.15485/1773006.

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                    Yang, Yan, Klein, Julia A., Winkler, Daniel E., Peng, Ahui, Lazarus, Brynne E., Germino, Matthew J., Suding, Katharine N., Smith, Jane G., & Kueppers, Lara M. Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits".  United States.  doi:https://doi.org/10.15485/1773006

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                    Yang, Yan, Klein, Julia A., Winkler, Daniel E., Peng, Ahui, Lazarus, Brynne E., Germino, Matthew J., Suding, Katharine N., Smith, Jane G., and Kueppers, Lara M. 2021.  
"Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits"".  United States.  doi:https://doi.org/10.15485/1773006.  https://www.osti.gov/servlets/purl/1773006. Pub date:Fri Jan 01 04:00:00 UTC 2021

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@article{osti_1773006,

  title        = {Data from: "Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits"},

  author       = {Yang, Yan and Klein, Julia A. and Winkler, Daniel E. and Peng, Ahui and Lazarus, Brynne E. and Germino, Matthew J. and Suding, Katharine N. and Smith, Jane G. and Kueppers, Lara M.},

  abstractNote = {This archive contains data used to draw conclusions in “Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits”, by Yang et al. 2020. Data were collected on Niwot Ridge, in an alpine meadow within the Alpine Treeline Warming Experiment (ATWE) field sites in Colorado, USA. Samples were also processed in the U.S. Geological Survey Forest and Rangeland Ecosystem Science Center, in Boise, Idaho. File formats in this archive include comma-separated values (.csv), portable document format (.pdf), Microsoft Excel (.xlsx), and two types of geospatial files: keyhole markup language (.kml), and ESRI shapefiles (.shp). Leaf scans are .jpg images, and root scans are .tiff/.tif images.The .csv files can be opened using R, Microsoft Excel, or any simple text-editing software such as TextEdit and Notepad. Microsoft Excel files can be opened using Microsoft Excel, and .pdf files can be opened with Adobe Acrobat Reader, Preview, or other compatible programs. Scanned images can be opened using any photo and/or picture viewing software.The .kml file can be opened using Google Earth and Google Maps, and the shapefiles can be opened by any programs compatible with shapefiles, such as the ArcGIS Desktop suite, and QGIS.------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Measures of belowground net primary productivity (BNPP) are required to understand whether aboveground net primary production (ANPP) changes reflect changes in allocation or are indicative of a whole plant NPP response. Plant functional traits provide a key way to scale from the individual plant to the community level, and provide insight into drivers of NPP responses to environmental change. We used infrared heaters to warm an alpine plant community at Niwot Ridge, Colorado, and applied supplemental water to compensate for soil water loss induced by warming. We measured ANPP, BNPP, and leaf and root functional traits across treatments after 5 years of continuous warming. Community-level ANPP and total NPP (ANPP + BNPP) did not respond to heating or watering, but BNPP increased in response to heating. Heating decreased community-level leaf dry matter content and increased total root length, indicating a shift in strategy from resource conservation to acquisition in response to warming.},

  doi          = {10.15485/1773006},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 01 04:00:00 UTC 2021},

  month        = {Fri Jan 01 04:00:00 UTC 2021}

}

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DOI: https://doi.org/10.15485/1773006

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Warming of alpine tundra enhances belowground production and shifts community towards resource acquisition traits

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