Species Management

SERDP and ESTCP efforts are developing and demonstrating the science, models, methods, and technologies associated with species management. The focus of these efforts is on minimizing impacts and reducing conflicts between threatened, endangered, and at-risk species management and military activities, identifying species vulnerable to population and habitat decline, maintaining long-term species and habitat viability, and reducing the potential for future listings. The preceding efforts include:

  • Individually based population models
  • Species distribution, habitat association, and connectivity models
  • Coupled species-ecosystem models
  • Decision support tools associated with individual and multiple species management decisions
  • Inventory and monitoring technologies and methods
  • Behavioral response information and models (e.g., for marine mammals)
  • Control methods and tools ( invasive species)
Product List by Product and Date Posted
Product Date Posted

Field Guide to the Birds of the Western Great Basin


Since 2012, SERDP-supported researchers have worked to develop methods for assessment of species richness and occupancy across space, time, taxonomic groups, and ecoregions. In one of these ecoregions, the western Great Basin, the researchers surveyed birds at the Marine Corps Mountain Warfare Training Center, Hawthorne Army Depot, and other locations on the east slope of the Sierra Nevada and in the Wassuk Range (Mono County, California and Mineral County, Nevada). On the basis of their data and observations and the existing ornithological literature, Frank Fogarty and Erica Fleishman (University of California, Davis) compiled a field guide and natural history of the breeding birds on the western edge of the Great Basin. The guide includes photographs of each species and short descriptions of each species’ distribution, status and trend, habitat associations, and responses to human activity. The guide also explains how to identify each species by sight and sound, and how to differentiate it from other species in the region.

Mar 2016

Functional Requirements and Performance Specifications for Avian Radar Systems


The Integration and Validation of Avian Radars (IVAR) project identified a set of functions a modern avian radar system should be capable of performing. It also developed specifications for the level at which these functions are expected to perform with existing commercial-off-the-shelf (COTS) technology. The functions and specifications are presented in this document, with the goal of using them as a starting point for anyone interested in acquiring and deploying avian radar technology.

Jan 2012


Model / Software and Guidance

HexSim is a spatially-explicit, individual-based computer model designed for simulating terrestrial wildlife population dynamics and interactions. HexSim is modeling framework within which population models can be constructed. Users define the model structure, complexity, and data needs. Every HexSim function can be accessed through a sophisticated graphical user interface (GUI). HexSim makes use of spatial data sets to capture landscape structure, habitat quality, stressor distribution, and other types of information. HexSim’s design makes it ideal for exploring the cumulative impacts on wildlife populations resulting from multiple interacting stressors.

Aug 2011

Edge Effects Resource Center

Model / Software and Guidance

This site offers information and tools to help inform and enable researchers, managers, conservationists, and public policy workers to make better landscape-scale decisions. 

Effective Area Model (EAM) is a practical tool that is a plug-in for ArcGIS (9.2 or 9.3). The model takes a map and edge response functions for one or multiple species and extrapolates them over landscapes. The model outputs density grids that can be used for analysis, visualization, or inputs into other spatially-explicit landscape programs (i.e., Hexsim, spatial PVAs, etc.). To support management decisions, the model could be run on current landscapes to look for the best place for action or on multiple "alternative" landscapes and the output compared to help choose or support the best management decisions. Edge response functions coded into the EAM can be based on hypothetical edge functions developed from predictive models or estimated directly from field data.

Feb 2011