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This dataset was used to summarize and analyze the mortality factors recorderd on dead trees in the Sierra Nevada Forest Dynamics Plot Network, which is managed by the Sequoia and Kings Canyon Field station of the U.S. Geological Survey's Western Ecological Research Center. Each row of the dataset represents an individual dead tree. These are dead trees that were recorded in the network from 1998 to 2010 for the subset of plots as described in the associated manuscript; These data support the following: Das, A.J., Stephenson, N.L., Davis, K.P. 2016. Why do trees die? Characterizing the drivers of background tree mortality. Ecology. 97(10): 2616-2627, https://doi.org/10.1002/ecy.1497
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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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These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National...
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This publication presents data collected within meadows from samples used to assess meadow plant community responses to recreational pack stock as part of a USGS Natural Resources Preservation Project. High elevation meadows are a vital ecological component of mountain systems throughout western North America. They provide critical habitat for wildlife, supply key ecosystem services, and are favored destinations for people visiting the mountains. The biophysical characteristics of meadows are highly variable, especially related to hydrologic regimes and associated plant community types. In the semi-arid landscape of the Sierra, water availability operates at multiple scales strongly influencing meadow plant community...
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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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These data describe tree mortality and the factors associated with tree mortality for a variety of plots in Sequoia National Park. Most of the data were collected between 2014 and 2017 (during an extremely severe drought), along with some comparison data from 2004 to 2007. These data support the following publication: Stephenson, N.L., Das, A.J., Ampersee, N.J., Bulaon, B.M., and Yee, J.L., In review. Which trees die during drought? The key role of insect host-tree selection, Journal of Ecology
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These datasets provide spatially-explicit estimates of the magnitude of giant sequoia foliage dieback along selected trail corridors in Sequoia and Kings Canyon national parks, California, from 2014 through 2017. They additionally provide giant sequoia tree-ring measurements, through the year 1989, for two locations in the Giant Forest grove, Sequoia National Park, California. These data support the following publications: Nathan L. Stephenson, Adrian J. Das, Nicholas J. Ampersee, Kathleen G. Cahill, Anthony C. Caprio, John E. Sanders, A. Park Williams, Patterns and correlates of giant sequoia foliage dieback during California’s 2012–2016 hotter drought, Forest Ecology and Management, Available online 7 November...
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Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that...
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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...
This dataset was used as part of a continent-wide analysis of tree fecundity and its association with climate and tree size. This dataset consists of: plotinfo.csv, which contains basic attribute information for the field plots where the data were collected; seeddata.csv, which contains the data for seeds collected (how many, what type, etc.); trapxycoord.csv, which contains location and identification information for the seed traps used to collect the seeds; treexycoord.csv, which contains location and attribute information for the standing trees in the plot where the seeds were collected; and treedata.csv, which contains data on the size and species of standing trees in the plot where the seeds were collected.
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These snag (dead tree) fall data were collected as part of long term forest dynamics data. Tree fall data were collected non-systematically as text comments until 2013, after which explicit snag fall data were collected on an annual basis. This particular dataset includes data from 23 plots in old-growth mixed conifer and montane conifer forests in Sequoia-Kings Canyon and Yosemite National Parks. The plots range in size from 0.9 ha to 2.5 ha and were established from 1982 to 2001. We used demography plot data through 2021 (collected before the extensive KNP Complex wildfire burned many of the plots). Before 2021, four of the 23 plots had experienced relatively recent prescribed burns or wildfires. When established,...
    map background search result map search result map Mortality factors for dead trees from a subset of plots from the Sierra Nevada Forest Dynamics Plot Network from 1998 to 2010 Subalpine meadow plant communities in Yosemite and Sequoia and Kings Canyon National Parks, 2011-2012 Sequoia foliage dieback and tree-ring data from Sequoia National Park Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017 Seed and Associated Tree Data from Long Term Research Plots in Sequoia and Yosemite National Parks Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 Growth, Drought Response, and Genomic Structure Data for Whitebark Pine in the Sierra Nevada of California (ver. 2.0, May 2023) Stem and Needle Growth for Whitebark Pine in the Sierra Nevada Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Snag Fall Data from Long Term Forest Dynamics Plots in the Sierra Nevada of California through 2021 Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017 Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019 Sequoia foliage dieback and tree-ring data from Sequoia National Park Seed and Associated Tree Data from Long Term Research Plots in Sequoia and Yosemite National Parks Snag Fall Data from Long Term Forest Dynamics Plots in the Sierra Nevada of California through 2021 Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Mortality factors for dead trees from a subset of plots from the Sierra Nevada Forest Dynamics Plot Network from 1998 to 2010 Subalpine meadow plant communities in Yosemite and Sequoia and Kings Canyon National Parks, 2011-2012 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)