Quantitative Modeling
Quantitative Modeling
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future. Focus species are as varied as the invasive tamarisk, Russian olive, Africanized honey bee and nutria to the federally threatened Lesser Prairie chicken and others. These and other species are modeled at a variety of spatial scales, from park or wildlife refuge to global levels. Models use various predictor layers that can include current and future climate layers (near- and long-term projections), remote-sensing derivatives (such as MODIS phenology metrics), land cover, topography, and anthropogenic features.
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Greater Sage-Grouse and Mule Deer Population Viability Analysis Across Scales
USGS and Colorado State University scientists will use data about sage-grouse and mule deer population data across Wyoming to evaluate the effectiveness of disturbance thresholds and investigate the efficacy of other disturbance metrics.
Using Long-Term Remote Sensing and an Automated Reference Toolset To Estimate and Predict Post-Development Recovery Potential
USGS scientists are using a time-varying approach to monitor and predict recovery of sagebrush ecosystems following disturbance.
Evaluating Trends in Greater Sage-Grouse Populations With Quantile Regression
USGS scientists are evaluating the use of quantile regression to develop models of sage-grouse population changes across the United States.
Developing Broad Scale Indicators for Monitoring Ecosystems and Landscapes
Many issues currently facing the Bureau of Land Management (BLM) and other large land managers span large landscapes, including sage-grouse conservation, wildfires, and energy development. Such challenges involve changes at both local and broad scales, but monitoring has typically focused at the scale of individual sites. The USGS is working to develop broad-scale indicators for monitoring...
Species Distribution Modeling
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future.
Non-invasive Genetic Sampling of Free-roaming Horses to Estimate Population Size, Genetic Diversity, and Consumption of Invasive Species
Molecular tagging is a new application of molecular genetic techniques to traditional mark-recapture methodology designed to address situations where traditional methods fail. In such studies, non-invasively collected samples (such as feces, feathers, or fur) are used as a source of DNA that is then genotyped at multiple loci such that each individual animal can be uniquely identified. Thus, each...
Incorporating Genetic Data into Spatially-explicit Population Viability Models for Gunnison Sage-grouse
This goal of this study is to develop a spatially explicit habitat-population modeling framework to assess the viability of Gunnison sage-grouse and each of the seven populations (Gunnison Basin and six satellite populations).
Ecological Flows
This research examines how water flows affect populations, communities, ecosystems, and hydroscapes. Studies elucidate the interactions among hydrologic, geomorphologic, biogeochemical, biological, and anthropogenic processes. Scientists identify and quantify the spatial and temporal attributes of water flow for ecological needs. Flow alternations by humans are a primary contributor to the...
Landscape Genetics of Sage Grouse
Loss and fragmentation of sagebrush habitats are among the primary causes of decline in greater and Gunnison sage-grouse. A fundamental need for species conservation is to identify and subsequently maintain a set of connected populations. Landscape genetics combines the fields of population genetics and landscape ecology to investigate how landscape and environmental features affect connectivity...
Resource for Advanced Modeling (RAM)
Branch scientists have developed the Resource for Advanced Modeling (RAM), a modeling facility for collaborative research both within the U.S. Geological Survey (USGS) and with the wider research community. The facility provides a collaborative working environment for up to 20 scientists from within the USGS and the wider research community. There are networked, wireless computing facilities with...
Developing Ecological Forecasting Models for Invasive Species
Forecasts of where species might be and what impacts they may have are necessary for management of invasive species. Researchers at FORT are using various approaches to provided needed information to resource managers to combat invasive plants, animals, and disease organisms.
Field of Sagebrush Dreams: Planting and Restoring Functional Sagebrush in Burned Landscapes
Increased wildfire-induced loss of sagebrush in North American shrublands are outpacing natural recovery and leading to substantial habitat loss for sagebrush-obligate species like sage-grouse. The products and information developed for this project will help restoration practitioners, biologists, and land managers evaluate the efficacy of sagebrush restoration approaches as well as their ability...