A summary of South Africa's surprising system based on citizen science and fabulous statistical tools

What the coalition and structure of a biodiversity early warning system could look like

​​

Working across disciplines and groups to co-generate biodiversity knowledge in rapidly changing climates.

Working with agencies and others to base sound policy, planning and management on robust population, phenology, and ecosystem health data

Design and implementation based on local priorities, experimentation and data on forest health, climate risk, and species persistence.

Read about our forest health community science monitoring projects developing in Washington 

an integrated, coalition-led, community-science-fueled support system for biodiversity planning, policy and management

Cascadia Biodiversity Evidence is an early-warning system for species and ecosystems, being adapted to North America's Cascadia Region from a successful citizen-science-fueled model in southern Africa - a region of high biodiversity, but highly variable data richness and resolution.
It will inform public policy with co-produced, near-real-time data on changes to biodiversity and ecosystems in space and time.
Conservation Biology Institute.jpg

The Conservation Biology Institute - an internationally active high-tech nonprofit based in Corvallis, Oregon - delivers scientific expertise, geospatial data management, policy translation, and collaborative decision-support systems which reduce conflict and achieve wise and wonderful solutions. We also help with climate analysis, scenarios and modeling to support conservation, recovery and resilience of biological diversity and human communities in times of dizzying change.

CBI builds on a successful model system previously built in South Africa by its Chief Science and Policy Officer, Phoebe Barnard, formerly of the South African National Biodiversity Institute and University of Cape Town, to grow Cascadia's biodiversity early warning system as a North American science/policy pilot for evidence-based decisions.