Sierra Nevada web tools

A clearing house of maps, static/dynamic tools, and related publications.

Supported by the Sierra Nevada Acoustic Monitoring Program, an array of nearly 2,000 autonomous recording units that span the entire Sierra Nevada forest ecosystem. The project generates 1,000,000 hours of audio annually, which is analyzed with the BirdNET algorithm, yielding data about >70 species of birds, mammals, and amphibians.

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Research Tools

Bird Population Projections: Fire, Restoration, and Climate

Changing fire regimes are projected to influence the distribution of many species in the Sierra Nevada, and many forest management practices are designed to influence fire regimes. Thus, it can be difficult to project future distributions of sensitive species. We combined newly updated fire projections with population models of six birds that serve as “indicator species” of different forest conditions, and generated maps of where different fire and management scenarios might result in changes to species habitat suitability.

Sample fire + management projection from Jones et al. 2021 (see ‘Publications’ below)

Interactive Biodiversity + Management Simulation Maps

Use this interactive webtool to simulate how forest management activities, such as prescribed fires, may affect bird populations within a user-defined area. The tool is powered by bird population models that were built using passive acoustic survey data from 2021 and a state-of-the-art forest structure map. The forest structure data is updated annually, and the estimated baseline bird occupancy rates change accordingly.

Sample webtool interface.

Select Publications


Dr. Connor Wood, K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology

Dr. Zach Peery, Dept. of Forest and Wildlife Ecology, University of Wisconsin Madison

Dr. Alina Cansler, University of Montana

Dr. Gavin Jones, Rocky Mountain Research Station, USDA Forest Service

Dr. Van Kane, University of Washington


  • USDA Forest Service Region 5
  • NASA
  • Cornell Lab of Ornithology