Filters: Types: Map Service (X) > partyWithName: Adrian J Das (X)

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Mortality factors for dead trees from a subset of plots from the Sierra Nevada Forest Dynamics Plot Network from 1998 to 2010 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 Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Sequoia-Kings Canyon National Park, Sierra Nevada, USGS Science Data Catalog (SDC), Yosemite National Park, bark beetles, All tags... tree mortality, tree mortality factors, tree pathogens, Fewer tags 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 Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Forestry, Kings Canyon National Park, Sequoia National Park, Sierra Nevada, All tags... Sierra Nevada, USGS Science Data Catalog (SDC), biota, conifer forest, conifer forests ecosystems, droughts, forest ecosystems, remote sensing, remote sensing validation, tree mortality, Fewer tags The Effects of Catastrophic Wildfires on Vegetation and Fuel Loads in the Sierra Nevada of California In recent years, a number of catastrophic wildfires have fundamentally changed species composition and structure across a large area of the Sierra Nevada of California. These fires leave behind many large, severely burned patches of land where the majority of trees have died. To make informed management decisions, forest managers need to understand the long-term effects of these fires on vegetation recovery and fuel loading. Large patches without trees might not reforest on their own which can cause forest loss; and, high-severity fires may lead to other high-severity fires by increasing the amount of fuel available to burn. Such repeat fires could lower the odds of any postfire forest recovery. By including... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2023, CASC, Data Visualization & Tools, Data Visualization & Tools, Drought, Fire and Extreme Weather, All tags... Drought, Fire and Extreme Weather, Extreme Weather, Extreme Weather, Fire, Fire, Forests, Forests, Landscapes, Landscapes, Projects by Region, Science Tools for Managers, Science Tools for Managers, Southwest, Southwest CASC, Fewer tags Fighting Drought with Fire: A Comparison of Burned and Unburned Forests in Drought-Impacted Areas of the Southwest Drought is one of the biggest threats facing our forests today. In the western U.S., severe drought and rising temperatures have caused increased tree mortality and complete forest diebacks. Forests are changing rapidly, and while land managers are working to develop long-term climate change adaptation plans, they require tools that can enhance forest resistance to drought now. To address this immediate need, researchers are examining whether a common forest management tool, prescribed fire, can be implemented to help forests better survive drought. Prescribed fire is commonly used in the western U.S. to remove potential wildfire fuel, such as small trees and shrubs. It is also thought that this act of selectively... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, CASC, Completed, Drought, Drought, All tags... Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Fire, Fire, Forests, Forests, Landscapes, Landscapes, Plants, Plants, Projects by Region, Southwest, Southwest CASC, Wildlife and Plants, Wildlife and Plants, Fewer tags Terrestrial Lidar Scans of Conifer Forests in Sequoia and Kings Canyon National Parks, 2022 Dataset contains 32 terrestrial lidar scans of conifer forests and associated shapefile of locations in Sequoia and Kings Canyon National parks from the summer of 2022. These scans were co-located within field plots from a larger ongoing U.S. Geological Survey (USGS) project collecting wildfire fuels and forest structure data (informally known as the Fire and Fuels Project). These data can also be found in a USGS Earth Resources Observation and Science (EROS) database named IntELiMon (https://dmsdata.cr.usgs.gov/lidar-monitoring/viewer/). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecology, Forestry, Kings Canyon National Park, Remote Sensing, Sequoia National Park, All tags... Sequoia-Kings Canyon Wilderness, USGS Science Data Catalog (SDC), biota, conifer, forest ecosystems, fuels inventory, image collections, lidar, terrestrial lidar scanning, Fewer tags Data for Use in poscrptR Post-fire Conifer Regeneration Prediction Model 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), All tags... biota, elevation, environment, forest ecosystems, geoscientificInformation, geospatial datasets, gymnosperms, imageryBaseMapsEarthCover, topography, Fewer tags Post-Fire Conifer Regeneration Under a Warming Climate: Will Severe Fire Be a Catalyst for Forest Loss? The Southwest U.S. is experiencing hotter droughts, which are contributing to more frequent, severe wildfires. These droughts also stress vegetation, which can make it more difficult for forests to recover after fire. Forest regeneration in burned areas may be limited because seeds have to travel long distances to recolonize, and when they do arrive, conditions are often unfavorably hot and dry. Conifer forests in the region have demonstrated particular difficulty in recovering after fires, and in some cases have transformed into other ecosystem types, such as deciduous-dominated forests or grasslands. Such ecological transformations have implications not only for the plants and animals that depend on conifer forests... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2018, CASC, Completed, Data Visualization & Tools, Data Visualization & Tools, All tags... Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Fire, Fire, Forests, Forests, Landscapes, Landscapes, Other Landscapes, Other Landscapes, Plants, Plants, Projects by Region, Science Tools for Managers, Science Tools for Managers, Southwest, Southwest CASC, Wildlife and Plants, Wildlife and Plants, drought stress, ecosystem management, fire effects, resilience, tree reproduction, Fewer tags Assessment of Giant Sequoia Mortality and Regeneration within Burned Groves in Sequoia and Kings Canyon National Parks (ver. 2.0, January 2024) 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecology, Forestry, Sequoia National Park, USGS Science Data Catalog (SDC), biota, All tags... ecology, ecosystem resilience, environment, fires, forest ecosystems, plot sampling, Fewer tags