SeaQL Lab

SeaQL Lab


One of the biggest hurdles of shark conservation is the lack of data on abundance and distribution of about half of their species. To address this challenge we have developed sharkPulse, a modular crowd-sourcing platform combining smartphone technology, web applications, social network/website crawling, computer vision, and machine learning for generating a large image-based sighting database for sharks. The goal is warehousing shark images available on the web and personal archives, and transform them into occurrence records. This platform aims to show how citizen science can be harnessed to produce big data, inform ecological science and promote conservation.

Big Data and New Technology for Ocean Solutions

Toward Ocean Transparency

Illegal unreported and unregulated fishing (IUU) and resource overexploitation are among the biggest threats the ocean is facing today. Tackling these issues has been historically challenging because of inaccurate and incomplete fisheries statistics. In collaboration with the Global Fishing Watch, Google and other academic partners, We are analyzing a new global database of satellite tracking data for marine vessels to understand global patterns of high-seas fishing and how they interact with large pelagic fish and sharks. Specifically, we are combining these data with statistics of regional fisheries management organizations, reconstructed historical catch and effort data, and animal telemetry data to study drivers and dynamics of high-seas exploitation, overlaps between fish and fisheries’ domains, and cross-validate remotely sensed fishing fleet data with recorded fisheries statistics.

Management and Conservation Role of LMPA.

Very large marine protected areas (LMPA > 75,000 km2) are increasingly popular to protect the last strongholds of biodiversity in the ocean and promote recovery of heavily exploited regions. Yet not all agree on their value for management and conservation. Challenges are demonstrating that positive outcomes observed in smaller coastal MPAs also occur at such large scales and that monitoring and enforcement over vast and remote oceanic regions are possible. Through the Bertarelli Programme in Marine Science, an international collaborative initiative focused on the Chagos Archipelago in the British Indian Ocean Territory, we are investigating on the structure and function of pristine coral reef ecosystems, the impact of large marine protected areas on the management and conservation of sharks and other broad-ranging marine megafauna, the fundamental spatial ecology of these animals, and the effectiveness of mega-reserves in remote oceanic regions

From Historical Ecology to Ecoinformatics

Reconstructing the History of Mediterranean Sawfish Populations

Print contained in Boschi G. 1876. 7 – Pesci e Rettili, in: Atlante Zoologico Popolare, opera Compilata Sui Piu’ Recenti Lavori di Zoologia Italiani e Stranieri.

Through archival digging, literature analyses, and extinction models, we provided evidence for the historical occurrence and subsequent extinction of two sawfish species in the Mediterranean Sea (Pristis pristis and Pristis pectinata) (Ferretti et al. 2016). This research challenged established tenets on sawfish ecology and biogeography, and led to a larger collaborative initiative for investigating on the structure, distribution, phylogeny, and biogeography of recently extinct sawfish populations. Within this project, we are conducting morphometric, genetic and isotopic analyses of sawfish materials from Mediterranean, European and Western African museums, to characterize the identity and structure of extinct Mediterranean sawfish and neighboring Atlantic populations.

The Shark Baselines Project

The Shark Baselines Project aims to investigate the structure and population abundance of large sharks in natural ecosystems and to infer global change in their abundance as an effect of human perturbation.

Ocean Intelligence and PoachBuster

Test flight over Stanford Campus

With an interdisciplinary team of biologists, oceanographers, naval and aerospace engineers, we are working on developing a set of innovative systems integrating new satellite tag technology, autonomous drones, machine learning, and big data, to detect illegal fishing in remote large marine reserves and the high-seas. We are developing anti-poaching satellite- and radio-tagging based technologies to aid monitoring and enforcement in remote large marine protected areas. And we are designing monitoring systems using swarms of autonomous intelligent drones to detect fishing vessels as they intrude into restricted locations.