With respect to the much sophisticated and complex nature of the ocean, the human tools to manage it are rather blunt. Humans look at the ocean as if it’s a stationary space, but the landmass underneath them is ever changing. Closing coastlines, putting restrictions on fishing certain species, is rather an outdated approach nowadays, looking at the vast fishing industry.
But a new generation of data-driven tools balances the needs of fish and fishermen and adapts automatically as the environment changes.
With the sheer influx of ocean data, governments are flabbergasted to control, manage and act upon it. But with new data analytics tools, both fishermen and marine life can reap in benefits. The insights which ocean data can give have far more value, the data from the seabed and coastal areas can make accurate predictions of where the fishermen can make a big catch of swordfish or tuna, and avoid protected species, such as marine mammals, sharks or manta rays.
With this dynamic set of ocean data, scientists can, with great precision, predict exact locations for a favorable and abundant catch, and use the same dataset strategy to protect certain areas from the human footprint, where species like turtles, albatross or whales are most likely to congregate at a given time of the day.
Big data, can enable regulators to close/restrict smaller areas to protect certain species like the leatherback sea turtles, who range far and wide in pursuit of jellyfish swarms, thus avoiding the traditional practice of closing huge swaths of the Ocean.
Big data tools can bring a revolutionary change in ocean management, with their help we can run ocean models on a computer in minutes to fetch the relevant data, which traditionally would’ve taken months or years to develop, a decade back.