Why Biodiversity Monitoring Matters

Marine biodiversity is the foundation of ocean ecosystem health and resilience. Diverse, functioning ecosystems provide food security for billions of people, regulate climate, produce oxygen, and support virtually all ocean-dependent economic activity. Monitoring biodiversity — understanding which species are present, in what numbers, and how populations are changing — is essential for effective conservation and management.

Traditional vs. Technology-Enabled Monitoring

Traditional marine biodiversity monitoring relies on trawl surveys, fish counting dives, and manual analysis of catch data. These methods are expensive, spatially limited, disruptive to the environments they study, and produce data that is too sparse and delayed to support responsive management. Technology-enabled approaches dramatically expand coverage while reducing cost and environmental impact.

Passive Acoustic Monitoring

The ocean is full of biological sound. Fish spawning aggregations produce distinctive sounds. Marine mammals communicate through complex vocal patterns. The distribution of sounds across frequency bands reveals the composition and activity of marine communities in ways that visual surveys cannot. Networks of underwater hydrophones continuously recording and analyzed by machine learning models can monitor entire marine protected areas in real time.

Environmental DNA

Every organism sheds genetic material into its environment. Water samples analyzed for environmental DNA (eDNA) can reveal which species are present with sensitivity that far exceeds visual surveys. OrcaGuard's eDNA program deploys autonomous water sampling buoys that collect samples at regular intervals and transmit them to shore for laboratory analysis, enabling continuous species presence monitoring across large ocean areas.

Computer Vision for Marine Species

Underwater cameras paired with machine learning models trained on thousands of species can automatically identify and count species in video footage. Combined with autonomous underwater vehicles that can survey large areas on programmed routes, this approach enables systematic reef health assessments and fish population surveys at scales previously impossible.