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 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.

Provided are data containing condition assessments on individual giant sequoia (Sequoiadendron giganteum; SEGI) stems and post-fire regeneration counts within Board Camp, Suwanee, New Oriole Lake, Homer’s Nose, and a subset of Redwood Mountain and Dillonwood groves of Sequoia and Kings Canyon national parks, respectively. Stem data contain condition-related attributes (e.g., spatial location, diameter breast height, status - live or dead, percent canopy that is live, scorched or torched). Regeneration plots are located using a spatially-balanced sampling design (Generalized Random Tessellation Stratified - 'GRTS'). Each regeneration plot is a fixed radius circle (11.35 meters or 17.84 meters) and contain count data of giant sequoia seedlings.

Provided are data containing condition assessments on individual giant sequoia (Sequoiadendron giganteum; SEGI) stems and post-fire regeneration counts within Board Camp, Suwanee, New Oriole Lake, Homer’s Nose, and a subset of Redwood Mountain and Dillonwood groves of Sequoia and Kings Canyon national parks, respectively. Stem data contain condition-related attributes (e.g., spatial location, diameter breast height, status - live or dead, percent canopy that is live, scorched or torched). Regeneration plots are located using a spatially-balanced sampling design (Generalized Random Tessellation Stratified - 'GRTS'). Each regeneration plot is a fixed radius circle (11.35 meters or 17.84 meters) and contain count data of giant sequoia seedlings.

Provided are data containing condition assessments on individual giant sequoia (Sequoiadendron giganteum; SEGI) stems and post-fire regeneration counts within Board Camp, Suwanee, New Oriole Lake, Homer’s Nose, and a subset of Redwood Mountain and Dillonwood groves of Sequoia and Kings Canyon national parks, respectively. Stem data contain condition-related attributes (e.g., spatial location, diameter breast height, status - live or dead, percent canopy that is live, scorched or torched). Regeneration plots are located using a spatially-balanced sampling design (Generalized Random Tessellation Stratified - 'GRTS'). Each regeneration plot is a fixed radius circle (11.35 meters or 17.84 meters) and contain count data of giant sequoia seedlings.

This data publication contains tabular data with repeat measurements of tree and shrub data for a set of transects located in Stanislaus National Forest (STF) and Yosemite National Park (YOSE) in California. These transects represent part of a systematic timber inventory collected across a large mixed-conifer dominated landscape by the U.S. Forest Service in 1911. Trees were tallied by species, diameter and height within 40 x 400 meter (m) strips that spanned the center of quarter-quarter sections (QQs) delineated by the Public Land Survey System. Shrub cover was determined using an ocular estimate. Repeat data were collected in either 2005, 2007 or 2013 in three to four 0.1 hectare circular plots (radius 17.8 m) per transect, centered at random, non-overlapping distances along the historical transect centerline. This data publication therefore contains measurements such as the percentage cover of shrubs for multiple species, basal area of dead and live conifer trees, and density of live conifer trees with various diameters at breast height for both STF and YOSE in 1911 and the remeasurement year of 2005, 2007, or 2013.

This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.

These data were collected to quantify oak mortality during the 2014-2017 drought. 30 tenth hectare drought plots were established throughout the blue oak woodland of Sequoia National Park. Information on species, size, and mortality were collected for all standing trees in each plot. In addition, two long-term 2.25 ha plots were established, in which the same data were collected.

These data were collected to quantify oak mortality during the 2014-2017 drought. 30 tenth hectare drought plots were established throughout the blue oak woodland of Sequoia National Park. Information on species, size, and mortality were collected for all standing trees in each plot. In addition, two long-term 2.25 ha plots were established, in which the same data were collected.

These data represent tree diameter, species, mortality status, and plot attributes from 164 plots in Sequoia and Kings Canyon national parks, California. Plots were matched with local records of recent fire history to determine burn status and year burned if applicable.