Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers"

Kueppers, Lara M.; Faist, Akasha; Ferrenberg, Scott; Castanha, Cristina; Conlisk, Erin; Wolf, Jennifer

doi:10.15485/1843043

Title: Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers"

Dataset
Other Related Research

Abstract

This archive contains data used to draw conclusions in “Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers”, by Kueppers et al. 2017. Cone collection and field experiments were conducted on Niwot Ridge, Colorado, with the latter completed within the Alpine Treeline Warming Experiment (ATWE). Laboratory germination experiments were conducted at the University of California Merced. Geospatial files are also provided for additional geographical context.There are four data file formats in this package: comma-separated values (.csv), Microsoft Excel (.xlsx), keyhole markup language (.kml), and ESRI shapefile (.shp). The latter two are geospatial file formats. .csv files can be opened using any simple text editor program such as TextEdit (Mac) and Notepad (Windows), and .xlsx files can be opened using Microsoft Excel or Google Sheets. The .kml file contains coordinate data, and is compatible with Google Earth and Google Maps. ESRI shapefiles (.shp) are compatible with any geospatial software able to read the file type, such as QGIS and ESRI’s ArcGIS Suite. This data user’s guide is available in as a .pdf, and can be opened using software such as Adobe Acrobat Reader.-----------------------------------------------------------------------------------------------------------------------------------Accurately predicting upslope shifts inmore »« less

Authors:

;

University of California Berkeley; University of California Berkeley
New Mexico State University
Lawrence Berkeley National Laboratory
Point Blue Conservation Science
University of California Merced

Publication Date:: Fri Dec 31 23:00:00 EST 2021

DOE Contract Number:: FG02-07ER64457

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)

Subject:: 54 ENVIRONMENTAL SCIENCES; Autologger microclimate data; Climate change experiment; Cotyledon count; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > VEGETATION; Geospatial data; Germination; Growth chamber relative humidity; Growth chamber temperature; Niwot Ridge; Picea engelmannii; Pinus flexilis; Root length; Seed germination; Seedling development; Seedling morphology; Seedling mortality; Seedling survey; Seedling survival; Shoot mass

OSTI Identifier:: 1843043

DOI:: https://doi.org/10.15485/1843043

Citation Formats


                    Kueppers, Lara M., Faist, Akasha, Ferrenberg, Scott, Castanha, Cristina, Conlisk, Erin, and Wolf, Jennifer. Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers".  United States: N. p., 2021. 
        Web.  doi:10.15485/1843043.

Copy to clipboard


                    Kueppers, Lara M., Faist, Akasha, Ferrenberg, Scott, Castanha, Cristina, Conlisk, Erin, & Wolf, Jennifer. Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers".  United States.  doi:https://doi.org/10.15485/1843043

Copy to clipboard


                    Kueppers, Lara M., Faist, Akasha, Ferrenberg, Scott, Castanha, Cristina, Conlisk, Erin, and Wolf, Jennifer. 2021.  
"Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers"".  United States.  doi:https://doi.org/10.15485/1843043.  https://www.osti.gov/servlets/purl/1843043. Pub date:Fri Dec 31 23:00:00 EST 2021

Copy to clipboard


                    
@article{osti_1843043,

  title        = {Data from: "Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers"},

  author       = {Kueppers, Lara M. and Faist, Akasha and Ferrenberg, Scott and Castanha, Cristina and Conlisk, Erin and Wolf, Jennifer},

  abstractNote = {This archive contains data used to draw conclusions in “Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers”, by Kueppers et al. 2017. Cone collection and field experiments were conducted on Niwot Ridge, Colorado, with the latter completed within the Alpine Treeline Warming Experiment (ATWE). Laboratory germination experiments were conducted at the University of California Merced. Geospatial files are also provided for additional geographical context.There are four data file formats in this package: comma-separated values (.csv), Microsoft Excel (.xlsx), keyhole markup language (.kml), and ESRI shapefile (.shp). The latter two are geospatial file formats. .csv files can be opened using any simple text editor program such as TextEdit (Mac) and Notepad (Windows), and .xlsx files can be opened using Microsoft Excel or Google Sheets. The .kml file contains coordinate data, and is compatible with Google Earth and Google Maps. ESRI shapefiles (.shp) are compatible with any geospatial software able to read the file type, such as QGIS and ESRI’s ArcGIS Suite. This data user’s guide is available in as a .pdf, and can be opened using software such as Adobe Acrobat Reader.-----------------------------------------------------------------------------------------------------------------------------------Accurately predicting upslope shifts in subalpine tree ranges with warming requires understanding how future forest populations will be affected by climate change, as these are the seed sources for new tree line and alpine populations. Early life history stages are particularly sensitive to climate and are also influenced by genetic variation among populations. We tested the climate sensitivity of germination and initial development for two widely distributed subalpine conifers, using controlled-environment growth chambers with one temperature regime from subalpine forest in the Colorado Rocky Mountains and one 5 °C warmer, and two soil moisture levels. We tracked germination rate and timing, rate of seedling development, and seedling morphology for two seed provenances separated by ~300 m elevation. Warming advanced germination timing and initial seedling development by a total of ~2 weeks, advances comparable to mean differences between provenances. Advances were similar for both provenances and species; however, warming reduced the overall germination rate, as did low soil moisture, only for Picea engelmannii. A three-year field warming and watering experiment planted with the same species and provenances yielded responses qualitatively consistent with the lab trials. Together these experiments indicate that in a warmer, drier climate, P. engelmannii germination, and thus regeneration, could decline, which could lead to declining subalpine forest populations, while Pinus flexilis forest populations could remain robust as a seed source for upslope range shifts.},

  doi          = {10.15485/1843043},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Dec 31 23:00:00 EST 2021},

  month        = {Fri Dec 31 23:00:00 EST 2021}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1843043

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers

Journal Article Kueppers, Lara ; Faist, Akasha ; Ferrenberg, Scott ; ... - Forests

Accurately predicting upslope shifts in subalpine tree ranges with warming requires understanding how future forest populations will be affected by climate change, as these are the seed sources for new tree line and alpine populations. Early life history stages are particularly sensitive to climate and are also influenced by genetic variation among populations. Here, we tested the climate sensitivity of germination and initial development for two widely distributed subalpine conifers, using controlled-environment growth chambers with one temperature regime from subalpine forest in the Colorado Rocky Mountains and one 5 °C warmer, and two soil moisture levels. We also tracked germinationmore »« less
Lab and Field Warming Similarly Advance Germination Date and Limit Germination Rate for High and Low Elevation Provenances of Two Widespread Subalpine Conifers

Journal Article Kueppers, Lara ; Faist, Akasha ; Ferrenberg, Scott ; ... - Forests

Accurately predicting upslope shifts in subalpine tree ranges with warming requires understanding how future forest populations will be affected by climate change, as these are the seed sources for new tree line and alpine populations. Early life history stages are particularly sensitive to climate and are also influenced by genetic variation among populations. We tested the climate sensitivity of germination and initial development for two widely distributed subalpine conifers, using controlled-environment growth chambers with one temperature regime from subalpine forest in the Colorado Rocky Mountains and one 5 °C warmer, and two soil moisture levels. We tracked germination rate andmore »« less
Data from: "Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest"

Dataset Kueppers, Lara M. ; Conlisk, Erin ; Castanha, Cristina ; ...

This data package contains data used to support conclusions drawn in “Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest”, by Kueppers et al. 2017. Data were collected in field sites within the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, on the eastern slope of the Colorado Rocky Mountains, USA. Files containing geospatial data are also included, to provide additional locational context.There are four document formats associated with this archive: three comma-separated values (.csv) files, three Microsoft Excel (.xlsx) files, one .pdf data user’s guide, four keyhole markup language (.kml) files, andmore »« less
Data from: "Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming"

Dataset Conlisk, Erin ; Castanha, Cristina ; Germino, Matthew J. ; ...

This data package contains model data that were used to support conclusions drawn in “Declines in low-elevation subalpine populations outpace growth in high-elevation populations with warming”, by Conlisk et al. 2017. Experimental data collected at field sites within the Alpine Treeline Warming Experiment (ATWE), and data from long-term observational plots were collected on Niwot Ridge, Colorado, USA and used to formulate models contained within the folder “Model_archive” in the zipped folder “Conlisk_etal_JEcol2017_model_archive12022020.zip”. The contents of this compressed folder are described in the data user's guide attached to this archive.There are two folders within the zipped folder - “EngelmannSpruce” and “LimberPine”more »« less
Data from: 'Abiotic influences on continuous conifer forest structure across a subalpine watershed'

Dataset Worsham, H. Marshall ; Wainwright, Haruko ; Powell, Thomas ; ...

This package archives the core data used for analysis and inference in 'Abiotic influences on continuous conifer forest structure across a subalpine watershed' (Worsham et al., 2025). All data were collected in the East River, Washington Gulch, Slate River, and Coal Creek watersheds of Colorado. In the paper, we quantified the relative influence of climate, topographic, edaphic, and geologic factors on conifer stand structure and composition, and their functional relationships, at the watershed scale. We used waveform LiDAR data to derive spatially continuous stand structure metrics. We fused these with a species-level classification map to estimate tree species abundance. Wemore »« less

Similar Records