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Data

Below are data associated with the Southwest Biological Science Center's research.

Filter Total Items: 242

Rainbow trout growth data and growth covariate data downstream of Glen Canyon Dam in the Colorado River, Arizona, 2012 - 2016

These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainb

RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA

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 collec

Geomorphic data for the Green River in Canyonlands, Utah, USA (ver. 1.0, June 2020)

These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Green River in Canyonlands National Park between Horseshoe Canyon and Deadhorse Canyon, Utah. The time period for these data are 1940 to 2018. The 'Channel Width' shapefile data a

Robust ecological drought projection data for drylands in the 21st century

These data represent simulated ecological drought conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) describe geographic patterns in ecological drought under historical climate conditions, 2) quantify the direction and magnitude of change in ecological drought, 3) identify areas

'Viva' native plant material data in support of restoration and conservation

These data were compiled to investigate the evolutionary history of Hilaria jamesii, Hilaria mutica, and Hilaria rigida. The data release consists of two tab delimited text files that may be used to infer population structure (viva_structure.stru) or relationships among sampling localities (viva.phylip). Files record genetic variation on an individual (.stru) or sampling locality (.phylip) level.

Population genetic and climatic variability data across western North America, 1915-2015

Environmental Analysis Data: These data were compiled to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. Due to complex topography, physiographic heterogeneity, and complicated relationships with large bodies of water, spatial autocorrelation of environmental similarity may be expected. We prov

Locality based caddisfly (Hydropsyche oslari) sampling data and CO1 sequences from the southwestern United States, 2013-2016

These data were compiled for a mtDNA (CO1 gene) analysis of net-spinning caddisflies (Hydropsyche oslari) in the Colorado River Basin of the western United States. They were incorporated in a study that investigated the genetic diversity and population structure of H. oslari relative to the river network structure in the Upper and Lower Colorado River Basins. The data were collected from 2015 to 2

Traits and Factors Catalog (TRAFAC): Conifer specialists of North America

These data were compiled in support of the 'Predicting the next high-impact insect invasion: Elucidating traits and factors determining the risk of introduced herbivorous insects on North American native plants' project, supported by the U.S. Geological Survey John Wesley Powell Center for Analysis and Synthesis. The project working group compiled data for non-native insects herbivorous on three o

Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA

This data package contains the final combined field sampling data collected by the USGS July 2013 and July-August 2015 at three active uranium mines (Canyon Rim Mine, Pinenut Mine, and Arizona 1 Mine) as well as two reference sites (Little Robinson Tank and EZ2 Pipe) in northwestern Arizona. Vegetation and soils were assessed by using line-point intersect (LPI) methods and estimates of plant speci

Meteorological measurements from five locations within the Badger Wash study area near Mack, Colorado (ver. 3.0, September 2024)

These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and December 2019 in the Badger Wash Study Area near Mack, Colorado as part of a larger project funded by the Bureau of Land Management. These files are hourly-interval data from the automated weather station

Marginalizing Bayesian population models - data for examples in the Grand Canyon region, southeastern Arizona, western Oregon USA - 1990-2015

These data were compiled here to fit various versions of Bayesian population models and compare their performance, primarily the time required to make inferences using different softwares and versions of code. The humpback chub data were collected by US Geological Survey and US Fish and Wildlife service in the Colorado and Little Colorado Rivers from April 2009 to October 2017. Adult fish were cap

Stand density and climate data in the Taylor Woods study area (Fort Valley Experimental Forest) on the Colorado Plateau in Northern Arizona, 1961-2011

These data were compiled for research pertaining to the effects of stand density on growth rates in semi-arid forests. Increasing heat and aridity in coming decades is expected to negatively impact tree growth and threaten forest sustainability in dry areas. Maintaining low stand density has the potential to mitigate the negative effects of increasingly severe droughts by minimizing competitive in
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