Stephen Boyte (Former Employee)
Science and Products
Filter Total Items: 30
Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018 Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018
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...
Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020
The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020...
Annual Herbaceous Cover across Rangelands of the Sagebrush Biome Annual Herbaceous Cover across Rangelands of the Sagebrush Biome
Data is available on https://chohnz.users.earthengine.app/view/wga-product-comparison-means 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...
Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 - 2018) Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 - 2018)
Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and...
Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019 Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019
This dataset provides a near-real-time estimate of 2019 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index...
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)
The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover...
Filter Total Items: 24
The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth
Cheatgrass exhibits spatial and temporal phenological variability across the Great Basin as described by ecological models formed using remote sensing and other spatial data-sets. We developed a rule-based, piecewise regression-tree model trained on 99 points that used three data-sets – latitude, elevation, and start of season time based on remote sensing input data – to estimate...
Authors
Stephen Boyte, Bruce Wylie, Donald Major, Jesslyn Brown
Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA
Understanding cheatgrass (Bromus tectorum) dynamics in the Northern Great Basin rangelands, USA, is necessary to effectively manage the region’s lands. This study’s goal was to map and monitor cheatgrass performance to identify where and when cheatgrass dieoff occurred in the Northern Great Basin and to discover how this phenomenon was affected by climatic, topographic, and edaphic...
Authors
Stephen Boyte, Bruce Wylie, Donald Major
Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin
This study projects future (e.g., 2050 and 2099) grassland productivities in the Greater Platte River Basin (GPRB) using ecosystem performance (EP, a surrogate for measuring ecosystem productivity) models and future climate projections. The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and...
Authors
Yingxin Gu, Bruce Wylie, Stephen Boyte, Khem Phuyal
Influence of management and precipitation on carbon fluxes in greatplains grasslands Influence of management and precipitation on carbon fluxes in greatplains grasslands
Suitable management and sufficient precipitation on grasslands can provide carbon sinks. The net carbon accumulation of a site from the atmosphere, modeled as the Net Ecosystem Productivity (NEP), is a useful means to gauge carbon balance. Previous research has developed methods to integrate flux tower data with satellite biophysical datasets to estimate NEP across large regions. A...
Authors
Matthew Rigge, Bruce Wylie, Li Zhang, Stephen Boyte
Ecosystem performance monitoring of rangelands by integrating modeling and remote sensing Ecosystem performance monitoring of rangelands by integrating modeling and remote sensing
Monitoring rangeland ecosystem dynamics, production, and performance is valuable for researchers and land managers. However, ecosystem monitoring studies can be difficult to interpret and apply appropriately if management decisions and disturbances are inseparable from the ecosystem's climate signal. This study separates seasonal weather influences from influences caused by disturbances...
Authors
Bruce Wylie, Stephen P. Boyte, Donald Major
Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS
This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9-year (2000–2008) time series of 250 m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation...
Authors
Yingxin Gu, Stephen P. Boyte, Bruce Wylie, Larry Tieszen
Science and Products
Filter Total Items: 30
Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018 Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018
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...
Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020
The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020...
Annual Herbaceous Cover across Rangelands of the Sagebrush Biome Annual Herbaceous Cover across Rangelands of the Sagebrush Biome
Data is available on https://chohnz.users.earthengine.app/view/wga-product-comparison-means 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...
Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 - 2018) Fractional estimates of invasive annual grass cover in dryland ecosystems of western United States (2016 - 2018)
Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems. Monitoring exotic annual grass cover and dynamics over large areas requires the use of remote sensing that can support early detection and...
Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019 Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019
This dataset provides a near-real-time estimate of 2019 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index...
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)
The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover...
Filter Total Items: 24
The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth
Cheatgrass exhibits spatial and temporal phenological variability across the Great Basin as described by ecological models formed using remote sensing and other spatial data-sets. We developed a rule-based, piecewise regression-tree model trained on 99 points that used three data-sets – latitude, elevation, and start of season time based on remote sensing input data – to estimate...
Authors
Stephen Boyte, Bruce Wylie, Donald Major, Jesslyn Brown
Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA
Understanding cheatgrass (Bromus tectorum) dynamics in the Northern Great Basin rangelands, USA, is necessary to effectively manage the region’s lands. This study’s goal was to map and monitor cheatgrass performance to identify where and when cheatgrass dieoff occurred in the Northern Great Basin and to discover how this phenomenon was affected by climatic, topographic, and edaphic...
Authors
Stephen Boyte, Bruce Wylie, Donald Major
Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin
This study projects future (e.g., 2050 and 2099) grassland productivities in the Greater Platte River Basin (GPRB) using ecosystem performance (EP, a surrogate for measuring ecosystem productivity) models and future climate projections. The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and...
Authors
Yingxin Gu, Bruce Wylie, Stephen Boyte, Khem Phuyal
Influence of management and precipitation on carbon fluxes in greatplains grasslands Influence of management and precipitation on carbon fluxes in greatplains grasslands
Suitable management and sufficient precipitation on grasslands can provide carbon sinks. The net carbon accumulation of a site from the atmosphere, modeled as the Net Ecosystem Productivity (NEP), is a useful means to gauge carbon balance. Previous research has developed methods to integrate flux tower data with satellite biophysical datasets to estimate NEP across large regions. A...
Authors
Matthew Rigge, Bruce Wylie, Li Zhang, Stephen Boyte
Ecosystem performance monitoring of rangelands by integrating modeling and remote sensing Ecosystem performance monitoring of rangelands by integrating modeling and remote sensing
Monitoring rangeland ecosystem dynamics, production, and performance is valuable for researchers and land managers. However, ecosystem monitoring studies can be difficult to interpret and apply appropriately if management decisions and disturbances are inseparable from the ecosystem's climate signal. This study separates seasonal weather influences from influences caused by disturbances...
Authors
Bruce Wylie, Stephen P. Boyte, Donald Major
Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS
This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9-year (2000–2008) time series of 250 m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation...
Authors
Yingxin Gu, Stephen P. Boyte, Bruce Wylie, Larry Tieszen