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Software

This webpage has descriptions of and links to computer programs that can be downloaded online. To view USGS-series publications related to software, please visit the publications webpage of this website.

Filter Total Items: 42

Spatial scale selection for greater sage-grouse population trends, Version 1.0.0 Spatial scale selection for greater sage-grouse population trends, Version 1.0.0

The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male greater sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush (Artemisia spp.) cover from a remote sensing product (Rigge et al., 2021...

spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model

We developed a software framework to estimate high-resolution spatiotemporal soil moisture (monthly, annual, and seasonal) and temperature-moisture regimes. Our approach builds on the Newhall simulation model, allowing for the substitution of data and parameters, such as climate, snowmelt, soil properties, alternative potential evapotranspiration equations, and air-soil temperature...

grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.1.0 grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.1.0

Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most...

lcp_centrality: Defining least-cost paths and graph theory centrality measures lcp_centrality: Defining least-cost paths and graph theory centrality measures

We present software that creates least-cost path spanning trees, a least-cost path minimum spanning tree, and graph theory centrality measures. The software was developed to support identification of population structures--specifically, greater sage-grouse (Centrocercus urophasianus), but also support other species or graph theory applications where least-cost paths are desired. We used...

North American Bat Monitoring Program: NABat Acoustic ML, Version 1.0.1 North American Bat Monitoring Program: NABat Acoustic ML, Version 1.0.1

Bats play crucial ecological roles, and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations, while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To...

Multi-objective Modeling as a Decision-support Tool for Feral Horse Management Multi-objective Modeling as a Decision-support Tool for Feral Horse Management

Decisions related to controversial problems in natural resource management receive the greatest support when they account for multiple objectives of stakeholders in a structured and transparent fashion. In the United States, management of feral horses (Equus caballus) is a controversial multi-objective problem because disparate stakeholder groups have varying objectives and opinions...

SolVES SolVES

SolVES is a tool for modeling and mapping social survey response data in relation to explanatory environmental variables. SolVES 4.0 was developed as open-source software with Python and uses the free software packages QGIS for its user interface and PostgreSQL spatially enabled by PostGIS for its source database. Updates to the previous version include minor changes to the source...

USGS BiblioSearch: A python tool to facilitate searching, cleaning, and compiling of literature search results from across multiple citation databases USGS BiblioSearch: A python tool to facilitate searching, cleaning, and compiling of literature search results from across multiple citation databases

USGS BiblioSearch is a python tool that performs literature searches across multiple citation databases via APIs or other web services in Python. The tool provides a quick method to query keywords and clean and compile results. Currently, the software includes methods to search four databases - Clarivate Web of Science, Elsevier Scopus, USGS Publications Warehouse, and USGS ScienceBase.

grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases

Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most...

North American Bat Monitoring Program: R Data Connection Package, (Version 1.0.1) North American Bat Monitoring Program: R Data Connection Package, (Version 1.0.1)

The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/. This code includes the ability to reformat NABat data, upload NABat data...

Wild horse aerial double observer survey analysis R script Wild horse aerial double observer survey analysis R script

This R file estimates horse abundance by analyzing data from simultaneous double-observer aerial surveys. The code follows analytical procedures established by Dr. Bruce Lubow, the statistician contracted for many years by Bureau of Land Management (BLM). Field data collection techniques are described in the Standard Operating Procedures (SOPs), which is a separate document. Download the...

popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity popcluster: Developing Hierarchical Population Monitoring Frameworks for mobile species with high site fidelity

The software "popcluster" constructs hierarchically nested groupings of similar habitats associated with field surveys while considering biological structure/connectedness (movements between habitats). This approach can support mobile species with high site fidelity where monitoring during surveys occurs on birthing grounds, breeding grounds, or stopovers/seasonal habitat for migratory...
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