Filters: partyWithName: Stephen Boyte (X)
12 results (13ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types
|
Cheatgrass began invading the Great Basin about 100 years ago, changing large parts of the landscape from a rich, diverse ecosystem to one where a single invasive species dominates. Cheatgrass dominated areas experience more fires that burn more land than in native ecosystems, resulting in economic and resource losses. Therefore, the reduced production, or absence, of cheatgrass in previously invaded areas during years of adequate precipitation could be seen as a windfall. However, this cheatgrass dieoff phenomenon creates other problems for land managers like accelerated soil erosion, loss of early spring food supply for livestock and wildlife, and unknown recovery pathways. We used satellite data and scientific...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
CASC,
Cheatgrass,
Climate Change,
Completed,
Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.
We mapped eleven years of cheatgrass dieoff in the northern Great Basin. If we estimated that a dieoff occurred in a pixel anytime during that eleven year period, then the pixel was coded as dieoff. If no dieoff occurred, the pixel was coded as a non dieoff. The cheatgrass dieoff probability map was produced by inputting the coded data into a decision-tree model along with topographic data, edaphic data, land cover data, and climate data. A proxy for latitude was included. The resulting model was input into a mapping application that generated a map of cheatgrass dieoff probability.
The study's goal was to downscale 2013 250-m expedited Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) to 30 m (Gu, Y. and Wylie, B.K., 2015, Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations, Remote Sensing of Environment, v. 171, p. 291-298)using 2013 Landsat 8 data. The eMODIS NDVI was downscaled for four periods: mid spring, early summer, late summer and mid fall. The objective was to capture phenologies during periods that correspond to 1) annual grass growth, 2) annual grass senescence, 3) the optimal NDVI profile separation between sagebrush and other shrubs in the region, and...
Three main folders are associated with this readme file. They are: 1. "Files", which contains two subfolders, "Dieoffs" and "PercentCover". a) The "Dieoff" subfolder contains every year's modeled cheatgrass dieoff estimates and their associated files, including a layer file. The dieoff estimates’ file format is ERDASImagine signed 16-bit. Values < -100 are underperforming relative to weather and site conditions and > 100 are performing relative to weather and site conditions. b) The "PercentCover" subfolder contains every year's modeled cheatgrass percent cover estimates and their associated files, including a layer file. The cheatgrass percent cover format is ERDAS Imagine signed 8-bit....
The “Dieoff” contains every year’s cheatgrass dieoff maps as .png files. This also contains the Dieoff Probability map, also as a .png file.
Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge et al. 2020). We integrated remotely sensed data (250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) (https://earthexplorer.usgs.gov/)) with land cover, biogeophysical (i.e., soils, topography) and climate data into regression-tree software (Cubist®). We...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arid,
Arizona,
Colorado,
Ecology,
Geography,
Since January 2011, the EROS team studying cheatgrass in the Great Basin has made significant strides developing datasets that identify cheatgrass extents and abundances and cheatgrass dieoff in and around the Winnemucca, Nevada area. Additionally, the team, in partnership with the BLM, received money from the USGS’ Northwest Climate Science Center to expand our cheatgrass dieoff study area to most of the northern Great Basin. In the Winnemucca area, we developed a regression-tree model, trained on Peterson’s cheatgrass maps, that generated a time series (2000 – 2010) of cheatgrass extents and abundances and then analyzed the relationships between this cheatgrass time series and spatially explicit site-specific...
Categories: Publication;
Types: Citation;
Tags: Cheatgrass,
Climate Change,
Great Basin,
Northwest CASC,
Plants,
Cheatgrass began invading the Great Basin about 100 years ago, changing large parts of the landscape from a rich, diverse ecosystem to one where a single invasive species dominates. Cheatgrass is highly flammable; consequently, cheatgrass-dominated areas experience more fires that burn more land than in native ecosystems, resulting in economic and resource losses. Therefore, the reduced production, or absence, of cheatgrass in previously invaded areas during years of adequate precipitation could be seen as a windfall. However, this cheatgrass dieoff phenomenon creates other problems for land managers such as accelerated soil erosion, loss of early spring food supply for livestock and wildlife, and unknown recovery...
Categories: Publication;
Types: Citation;
Tags: Cheatgrass,
Climate Change,
Great Basin,
Northwest CASC,
Plants,
Data are cross-listed on https://rangelands.app/cheatgrass/ Cheatgrass (Bromus tectorum) and other invasive annual grasses represent one of the single largest threats to the health and resilience of western rangelands. To address this challenge, the Western Governors Association (WGA)-appointed Western Invasive Species Council convened a cheatgrass working group to develop a new regional vision for invasive annual grass management across the West. Foundational to implementing this new vision is the creation of a common spatial map to guide strategic actions. The WGA cheatgrass working group sought to develop a 30-m base map of annual herbaceous cover to support a common spatial strategy for tackling invasive annual...
Categories: Publication;
Types: Citation;
Tags: Cheatgrass,
Climate Change,
Great Basin,
Northwest CASC,
Plants,
The “PercentCover” contains every year’s cheatgrass percent cover maps, a map of mean values, a standard deviation map, and a coefficient of variation map. 14 maps total.
|
|
