Conservation Biology Institute


A non-partisan science-based nonprofit that develops geospatial data platforms, conservation software, spatial analyses, ecological modeling, and applied planning services to support biodiversity conservation, climate and wildfire resilience, and natural resource decision-making. Works with government agencies, NGOs, tribes, and local stakeholders on data integration, decision support, and training.

Industries

biotechnology
education
natural-resources
professional-services

Nr. of Employees

small (1-50)

Conservation Biology Institute

Corvallis, Oregon, United States, North America


Products

Web-based geospatial data platform

A hosted platform for storing, visualizing, analyzing, and sharing conservation geospatial data and derived analyses to support planning and monitoring.


Services

Conservation planning and management consulting

Applied science support for habitat protection, adaptive management, and landscape-scale planning for public agencies and NGOs.

Custom software and web application development

Design and build of web-based tools, mobile field apps, and analytics systems to support conservation workflows.

Spatial analysis and mapping services

Production of maps, spatial analyses, and cartographic products to inform planning, permitting, and conservation actions.

Scientific research and ecological modeling

Modeling of vegetation, species distributions, climate impacts, and fire regimes to inform adaptation and restoration efforts.

Training, facilitation and stakeholder engagement

Workshops, training series, and facilitated processes to translate science into actionable management and policy decisions.

Expertise Areas

  • Geospatial data platforms and web GIS
  • Conservation planning and reserve design
  • Spatial analysis and mapping
  • Ecological and climate-impact modeling
  • Show More (4)

Key Technologies

  • Geographic Information Systems (GIS)
  • Web GIS / web mapping platforms
  • Spatial decision support systems (SDSS)
  • Predictive ecological and vegetation models
  • Show More (5)

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