What is Environmental DNA (eDNA)?

Environmental DNA (eDNA) is genetic material collected from environmental samples like soil, water, or air. This DNA comes from organisms that have been present in the environment—through skin cells, feces, pollen, or other biological material. By analyzing eDNA, we can identify which species are present in an ecosystem without directly observing them.

At OASA, we use eDNA analysis with AI for regeneration to monitor biodiversity and track regeneration progress. This enables comprehensive species inventories and ongoing monitoring of ecosystem health.

How eDNA Biodiversity Monitoring Works

Sample Collection

Environmental samples are collected from soil, water, or air. These samples contain DNA from all organisms that have been present in the environment, creating a genetic record of ecosystem composition.

DNA Extraction and Sequencing

DNA is extracted from samples and sequenced using high-throughput sequencing technologies. This generates millions of DNA sequences that can be compared to reference databases.

AI-Powered Species Identification

AI algorithms analyze DNA sequences and match them to known species in reference databases. This enables identification of hundreds or thousands of species from a single sample.

Benefits of eDNA Monitoring

• Comprehensive: Detects species that are difficult to observe directly
• Non-Invasive: Doesn't require capturing or disturbing organisms
• Efficient: Can identify many species from a single sample
• Scalable: Enables monitoring across large areas
• Baseline Creation: Establishes biodiversity baselines for tracking regeneration

eDNA in Regenerative Projects

OASA projects use eDNA monitoring to:

• Establish biodiversity baselines before regeneration begins
• Track species recovery as ecosystems regenerate
• Monitor the return of keystone species
• Assess the effectiveness of regenerative practices
• Create transparent, auditable records of ecosystem health

AI and eDNA Analysis

AI for regeneration processes eDNA data to identify species, track changes over time, and predict ecosystem responses. This enables real-time biodiversity monitoring and data-driven decision-making in regenerative projects.

eDNA Species Identification

eDNA analysis can identify:

• Plants: Tree species, wildflowers, grasses, and other vegetation
• Animals: Mammals, birds, reptiles, amphibians, and fish
• Microorganisms: Bacteria, fungi, and other microbes
• Invertebrates: Insects, worms, and other small organisms

This comprehensive species inventory provides a complete picture of ecosystem composition and health.

Related Terms

• AI for Regeneration - AI processing eDNA data
• Rewilding - Restoring biodiversity
• Keystone Species - Species tracked through eDNA
• Regenerative Principles - Practices monitored through eDNA