Filters: partyWithName: Phillip J van Mantgem (X) > Categories: Data (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
Categories: Data;
Tags: California,
Forestry,
Sequoia National Park,
Sierra Nevada,
USGS Science Data Catalog (SDC),
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Holocene,
Sequoia-Kings National Park,
Terrestrial surface,
USGS Science Data Catalog (SDC),
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.
Categories: Data;
Tags: California,
Sierra Nevada,
USGS Science Data Catalog (SDC),
biota,
carbon isotope analysis,
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).
Categories: Data;
Tags: California,
Ecology,
Forestry,
Remote Sensing,
USGS Science Data Catalog (SDC),
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
This data release provides forest structure information including basal area and stem density by genus and mortality status for overstory and sapling trees in 149 plots in Whiskeytown National Recreation area in California, USA. The data includes forest structure measurements taken before and after the 2018 Carr Fire, a nearly 93,000 hectare wildfire. These data support the following publication: van Mantgem, P.J., Wright, M.C., Thorne, K., Beckmann, J., Buffington, K., Rankin, L., Colley, A., and Engber, E., in-review. Learning from a High-Severity Fire Event: Conditions Following the 2018 Carr Fire ar Whiskeytown National Recreation Area.
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Botany,
California,
Forestry,
Oregon,
USGS Science Data Catalog (SDC),
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...
Categories: Data;
Tags: California,
Forestry,
Sierra Nevada,
USGS Science Data Catalog (SDC),
biota,
Forests are major components of the global carbon cycle, providing substantial feedback to atmospheric greenhouse gas concentrations . Our ability to understand and predict changes in the forest carbon cycle--particularly net primary productivity and carbon storage--increasingly relies on models that represent biological processes across several scales of biological organization, from tree leaves to forest stands. Yet, despite advances in our understanding of productivity at the scales of leaves and stands, no consensus exists about the nature of productivity at the scale of the individual tree , in part because we lack a broad empirical assessment of whether rates of absolute tree mass growth (and thus carbon accumulation)...
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
Categories: Data;
Tags: Eldorado National Forest,
Forestry,
Klamath National Forest,
Lassen National Forest,
National Forest land in California,
This dataset describes tree growth and site characteristics for 26 monitoring plots in 3 sites in Redwood National Park in California, USA. One site (A972) was established and sampled in 2007, 2008, and 2013 (Dagley and others, 2023). Two sites (Holter Ridge and Whiskey 40) were established and sampled in 2009 (van Mantgem and Das, 2014). Six existing plots in the Holter Ridge and Whiskey 40 sites were resampled for this study in summer of 2014 and winter of 2015. Tree growth data represent basal area increments at core height. Site characteristics include treatment histories and harvest year. Plot characteristics for the resampled sites are also presented, including location, stand age since harvest, stand age...
Categories: Data;
Tags: Forestry,
Redwood National Park,
USGS Science Data Catalog (SDC),
biota,
tree ring analysis
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