Micah C Wright

Effects of Postfire Climate and Seed Availability on Postfire Conifer Regeneration

Abstract (from Ecological Society of America): Large, severe fires are becoming more frequent in many forest types across the western United States and have resulted in tree mortality across tens of thousands of hectares. Conifer regeneration in these areas is limited because seeds must travel long distances to reach the interior of large burned patches and establishment is jeopardized by increasingly hot and dry conditions. To better inform postfire management in low elevation forests of California, USA, we collected 5‐year postfire recovery data from 1,234 study plots in 19 wildfires that burned from 2004–2012 and 18 years of seed production data from 216 seed fall traps (1999–2017). We used this data in conjunction...

Categories: Publication; Types: Citation

Seed Source, Not Drought, Determines Patterns of Seed Production in Sierra Nevada Conifers (ver. 2.0, January 2023)

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), All tags... Yosemite National Park, biota, coniferous trees, current, drought and seed production, forest ecosystems, long-term ecological monitoring, spring (season), summer, time series datasets, Fewer tags

Growth, Drought Response, and Genomic Structure Data for Whitebark Pine in the Sierra Nevada of California (ver. 2.0, May 2023)

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, All tags... core analysis, ecology, time series datasets, Fewer tags

Data Describing Site Characteristics Including Conifer Regeneration Following the 2018 Carr Fire in Whiskeytown National Recreation Area

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), All tags... Whiskeytown-Shasta-Trinity National Recreation Area, animal and plant census, biota, environment, forest ecosystems, Fewer tags

POSCRPT: Postfire Spatial Conifer Restoration Planning Tool

Postfire Spatial Conifer Restoration Planning Tool (POSCRPT) R package (and web version) 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 five years after wildfire, from 1,234 4.4m radius plots (60m2), spanning 19 wildfires in California. Please refer to Stewart et al. (2020) for more details. The poscrptR tool is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app was designed to use Rapid Assessment of Vegetative Condition (RAVG) data inputs. The RAVG website has both RdNBR and fire perimeter data sets...