Filters: Tags: {"scheme":"Geographic Names Information System (GNIS)"} (X) > partyWithName: Seth M Munson (X)
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This dataset is from a restoration field study conducted at seven sites distributed across the southern Colorado Plateau in northern Arizona as part of the RestoreNet dryland restoration field trial network. The data consist of post-experimental restoration treatment (2018-2019) plant density and height measurements along with site precipitation, temperature, and soils data. Plant data were collected through plot monitoring visits distributed throughout the first year following restoration treatments and seeding.
These tabular data were compiled to document how key plant trait values change during plant development, particularly seedling stages, and in relation to soil moisture. An objective of our study was to answer three main research questions: (1) Do seedling trait values differ across early to late stages of seedling development and do those trajectories vary among plant species and functional types (i.e., forbs vs. grasses)?; (2) Does water availability influence seedling ontogenetic trait variation? and, if so, does this variation affect plant species drought performance?; and (3) Do seedling trait values at early stages of development differ from complied trait database values for species? These data represent key...
These data were compiled for a networked field-trial restoration experiment (RestoreNet) that spans the southwestern US, including 21 distributed field sites. The objective of our study was to understand the environmental factors and restoration practices (including seed mixes and soil manipulation) that increase plant establishment and survival to ultimate improve restoration outcomes in dryland environments. These data represent point-in-time plant density and height measurements at our field sites at the time of monitoring. These data were collected at 21 arid and semi-arid sites, located throughout Arizona, Utah, New Mexico, and California. These data were collected by USGS Restoration Assessment and Monitoring...
The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth...
Types: Citation;
Tags: Climate change,
Colorado Plateau,
Ecological sites,
Garfield County,
Grazing,
These data were compiled to allow further understanding of how aboveground net primary production of different plant functional types in ecosystems along an elevation gradient in the southwestern U.S. respond to extreme changes in warm-season precipitation (drought and water addition) associated with the North American Monsoon. The objectives of the study were to 1) determine how primary production responds to warm-season precipitation extremes over time; 2) compare production sensitivities to warm-season precipitation (slopes of production – precipitation relationships) across an elevation gradient; 3) evaluate whether the sensitivity of production differed under extreme dry and wet years compared to ambient precipitation....
These data were compiled for the Altar Valley Conservation Alliance and the U. S. Fish and Wildlife Service to identify and quantify the spatial distribution of fine fuels in relation to wildfire management across jurisdictional boundaries. Objective(s) of our study were to map the 2021 annual distribution of the biomass (kg/ha) of fine fuels (grasses, shrubs, and forbs) for the whole of the Altar Valley, AZ, including the Buenos Aires National Wildlife Refuge. These data represent estimated biomass of fine fuels (kg/ha) at a 10-m resolution. These data were collected/created in September through October 2021 for the Altar Valley, located in Pima County, AZ, USA. These data were collected/created by the U.S. Geological...
This climate and vegetation index dataset was collected from readily available open source data, such as Landsat. The data represents points across the northern Colorado plateau. The vegetation type was defined based on U.S. Geological Survey ReGAP data. Using compositing techniques by season we developed a dataset of lag and legacy for each point. We could then look to understand how both lag and legacy impacted vegetation production across the time series. In this dataset we focus on the soil adjusted vegetation index (SAVI), the standardized precipitation and evapotranspiration index (SPEI), and precipitation. Included in this dataset are climate lags of 3,6,9 and 12 months. Additionally, the legacy construct...
Categories: Data;
Tags: Arches National Park,
Botany,
Bryce Canyon National Park,
Canyonlands National Park,
Capitol Reef National Park,
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9347I2H. These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over...
Categories: Data;
Tags: 10-m resolution,
Arizona,
Botany,
Buenos Aires National Wildlife Refuge,
Ecology,
These data were compiled for a comprehensive review of pinyon-juniper communities including Pinus edulis, Pinus monophylla, Juniperus osteosperma, Juniperus monosperma, and Juniperus scopulorum. Compiled are a list of references cataloged by the topic of interest resulting from the literature search. The characterization for each reference includes the focal species, descriptions of the site(s) the study was conducted at, type of study, any land management treatments and the measured response variables. The location data for publications that provided location information have also been compiled in order to compare the geographic distribution of these studies with the distribution of the focal tree species.
These data were compiled to estimate fine-fuel abundance and distribution across the Buenos Aires National Wildlife Refuge in southern Arizona, USA. The objectives of the study were to develop and validate annual estimates of fine fuel (biomass of herbaceous vegetation) for the refuge and to assess changes in fine fuels through time in response to wildfire and prescribed fire. These data represent the amount of herbaceous biomass or fine fuels (kg/ha) present at a 10-m resolution derived from in-situ estimates of ground cover modeled with satellite imagery. These satellite image data were collected over the Buenos Aires National Wildlife Refuge during leaf-on (August) and leaf-off (November) time periods annually...
These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA. These data represent pre-fire predictions of post-fire differenced normalized burn ratio (dNBR) as a proxy of burn severity and further understand pre-fire modeling of burn severity. These data were collected/created in the fire perimeters the East Troublesome Fire (10/14/2020 – 11/30/2020) and the Grizzly Creek Fire (8/10/2020...
This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative...
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