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Filters: partyWithName: Ecosystems (X) > partyWithName: Western Ecological Research Center (X) > partyWithName: Phillip J van Mantgem (X)

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This dataset records mortality-- including involvement of bark beetles-- and burn severity information for trees in long term forest dynamics plots in Sequoia National Park and Yosemite National Park that experienced fire. These data support the following publication: Furniss, T.J., Das, A.J., van Mantgem, P.J., Stephenson, N.L. and Lutz, J.A., 2021. Crowding, climate, and the case for social distancing among trees. Ecological Applications, p.e2507, https://doi.org/10.1002/eap.2507
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This release consists of data collected from 26 plots in two national parks over a 19-year period. The data consists of plot-level seed counts for three genera, number of seed traps, live tree basal area, plot area, and climate metrics from the gridmet gridded data set, the daymet gridded data set, the PRISM gridded data set, and two nearby COOP stations.
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These data represent stem growth from whitebark pine at 27 sites in the Sierra Nevada of California. Values for stem growth were derived from increment cores, processed following standard methods. Samples were also compared against a genomic data collected at the same trees. These data support the following publication: van Mantgem, P.J., Milano, E.R., Dudney, J., Nesmith, J.C.B, Vandergast, A.G., and Zald, H.S.J., 2023. Growth, drought response, and climate-associated genomic structure in whitebark pine in the Sierra Nevada of California. Ecology and Evolution. https://doi.org/10.1002/ece3.10072.
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This dataset provides seedling density and site characteristics for 131 plots in Whiskeytown National Recreation Area in California, USA. Site characteristics include modeled seed availability and terrain indices calculated using a 1 meter resolution digital elevation model (DEM).
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This data consists of observations of individual trees that were subjected to prescribed fire in western US national parks. Information on individual trees include measurements of tree live/dead status, growth, size, competition, and fire-caused damage. The data also includes estimates of plot-level vapor pressure deficit anomaly before fire. These data support the following publication: van Mantgem, P.J., Falk, D.A., Williams, E.C., Das, A.J., and Stephenson, N.L., 2020, The influence of pre-fire growth on post-fire tree mortality for common conifers in western US parks. International Journal of Wildland Fire. First posted - August 28, 2018 (available from author) Revised - Febuary 10, 2020
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These data support poscrptR (Wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected in 4.4m radius plots (60 square meters). Please refer to Stewart et al. (2020) for more details concerning field data collection, the model fitting process, and limitations. Learn more about shiny apps at https://shiny.rstudio.com. The app is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app requires the user to upload two input data sets: 1. a raster of Relativized differenced Normalized...
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These data represent stem growth, needle length growth, and carbon stable isotope ratios from whitebark pine at 27 sites in the Sierra Nevada of California. Values for stem growth were derived from increment cores, processed following standard methods. Needle characteristics were captured for individual trees across all years needles were present on the internodes. Needle length was measured in the lab for three healthy needles per tree and initiation year. For stable carbon isotopes, samples were pulverized in the lab and then were sent to the Analytical Laboratory at the University of California, Davis (UC Davis) for weighing and encapsulation. Carbon and nitrogen isotopic values were estimated by the Stable Isotope...
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This data consists of presence/absence observations for post-fire conifer regeneration. The data also includes estimates of plot-level topography (slope, aspect), relativized differenced normalized burn ratio (RdNBR), post-fire climate, live basal area, and seed rain. These data support the following publication: Stewart, J.A.E., van Mantgem, P.J, Young, D.J.N., Shive, K.L., Preisler, H.K., Das, A.J., Stephenson, N.L., Keeley, J.E., Safford, H.D., Wright, M.C., Welch, K.R., Thorne, J.H. 2020. Influence of variable postfire climate and seed production on postfire conifer regeneration. Ecological Applications. https://doi.org/10.1002/eap.2280


    map background search result map search result map Fire caused tree mortality in western US national parks (2018) (ver. 2.0, February 2020) Seed Source, Not Drought, Determines Patterns of Seed Production in Sierra Nevada Conifers (ver. 2.0, January 2023) Data for Use in poscrptR Post-fire Conifer Regeneration Prediction Model Post-fire conifer regeneration observations for National Forest land in California (2009 - 2017) Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Growth, Drought Response, and Genomic Structure Data for Whitebark Pine in the Sierra Nevada of California (ver. 2.0, May 2023) Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area Stem and Needle Growth for Whitebark Pine in the Sierra Nevada Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area Seed Source, Not Drought, Determines Patterns of Seed Production in Sierra Nevada Conifers (ver. 2.0, January 2023) Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Stem and Needle Growth for Whitebark Pine in the Sierra Nevada Growth, Drought Response, and Genomic Structure Data for Whitebark Pine in the Sierra Nevada of California (ver. 2.0, May 2023) Post-fire conifer regeneration observations for National Forest land in California (2009 - 2017) Data for Use in poscrptR Post-fire Conifer Regeneration Prediction Model Fire caused tree mortality in western US national parks (2018) (ver. 2.0, February 2020)