Tools and Techniques

USGS and Colorado State University scientists are modelling multispecies connectivity through intact and disturbed areas of the sagebrush landscape.

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...

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.

Recent advances in molecular biology allow us to develop and apply the tools and concepts of molecular genetics to the conservation of biological resources. Working with our partners, we design and implement studies that provide genetic and genomic information for a broad range of applications, as detailed below.

The Resource for Advanced Modeling room provides a collaborative working environment for up to 20 scientists, supported with networked, wireless computing capability for running and testing various scientific models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) at a variety of spatial scales, from county to global levels. Models use various predictor layers...

Mobile technologies, from feature-laden phones to wearable computing devices, are changing the face of field research. Scientists are now able to track the movement of wildlife in near real time, capture more and various types of survey data conveniently, and discover critical information about a sample site prior to data collection. The Information Science Branch provides support for all of these...

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...

North American bats face unprecedented threats including habitat loss and fragmentation, white-nose syndrome, wind energy development, and climate change. However, it is difficult to evaluate the impacts of these threats due to a lack of basic information about the distribution and abundance of bats across the continent. Although bat monitoring has long been conducted in individual areas and for...

The use of molecular genetics has become increasingly important in addressing wildlife conservation issues. In the Fort Collins Science Center Molecular Ecology Lab, scientists answer complex questions and conservation issues facing the management of the Nation's fish and wildlife resources. For example, FORT scientists can now locate genes that may contribute to a species' ability to respond to...

Because population estimates drive nearly all management decisions pertaining to wild horses and burros, accuracy is important. Several widely used techniques exist for conducting aerial population estimates of wildlife, but individually, each has important limitations. Researchers at the U.S. Geological Survey, Fort Collins Science Center (FORT), are evaluating combinations of these techniques...

White-Nose Syndrome (WNS) is a devastating disease that threatens the survival of hibernating bats in North America. Since first documented in the winter of 2005/2006, WNS has spread from a very small area of New York across at least two thousand kilometers and half or more of states and provinces in the U.S. and Canada.

Environmental contaminants of natural and anthropogenic origin represent a major stressor to ecosystems, including human and wildlife populations.