A New Standard for Coastal Monitoring: Inside the La Jolla North MPA's Technology-Driven Assessment
eOceans is offering a scalable blueprint for community-based monitoring of MPAs for smarter ocean protection

The La Jolla North Marine Protected Area (MPA) is a lively underwater world, teeming with leopard sharks gliding through the shallows, schools of juvenile sunfish drifting past, and curious sea lions popping up among kelp forests. Squid lay eggs across the seafloor, lobsters scuttle along rocky crevices, and turtles make regular appearances– making this protected stretch of coastline a true hotspot of marine life.
The La Jolla North MPA, one of Southern California’s most biologically rich coastal zones, recently became the focus of a comprehensive monitoring initiative that redefines how protected waters can be evaluated. Powered by the technology and analytics of eOceans, Ocean Science Analytics (OSA) conducted an assessment that brought clarity to the MPA’s ecological condition, human use, and emerging threats.
Historically, information on the MPA existed in narrow segments- sporadic wildlife surveys, occasional species records, or archival notes. To establish an accurate baseline, OSA assembled prior observations from the Ocean Biodiversity Information System (OBIS), covering more than four decades of presence-only data. This historical framework was then combined with contemporary observations collected through the eOceans app, enabling a seamless transition between legacy datasets and real-time field reporting.
Through a group of trained local observers, the project captured a scale of information never before achieved in this region. Over a single year, contributors recorded:
- 247 structured surveys
- 245,908 individual animals [leopard sharks, juvenile sunfish, sea lions, squid, and other key species]
- 6,445 human activities
- 138 pollution threats [plastics, derelict fishing gear, and entanglement incidents]
The resulting dataset delivered a multidimensional picture of the MPA- one that tracked species abundance and condition, documented community interactions with the coastline, and identified specific environmental pressures.
By integrating biological, social, and anthropogenic data into a single analytical system, the project allowed managers to examine the MPA as an interconnected environment rather than a collection of isolated factors. Spatial patterns of wildlife aligned with areas of high recreational use, while threat occurrences highlighted locations requiring targeted management. The platform’s automated quality checks, standardized reporting, and photographic validation supported a level of consistency and accuracy typically associated with formal scientific surveys, but achieved with far greater efficiency. The initiative fostered meaningful community engagement as contributors and followers interact through the eOceans platform to discuss observations, interpret trends, and share findings, helping build trust and transparency around MPA stewardship.
The La Jolla North MPA assessment illustrates the potential of technology-enabled, participatory science to transform coastal monitoring. With 124 MPAs along California’s coastline, the approach demonstrates a scalable model capable of improving ecological assessments, supporting compliance, and guiding adaptive management strategies. By merging historical context with real-time environmental intelligence, eOceans and OSA have established a replicable framework that strengthens conservation efforts and enhances understanding of marine conditions across temporal and spatial scales.
Powering protected areas success with eOceans: A Califonria case study
