Scientists find some of the 'very last wild and healthy ecosystems' in the world's oceans untouched by humans
Humans have left their mark on virtually every place on the planet, from the deep sea to the peaks of the highest mountains.
Key points
- Focus: Humans have left their mark on virtually every place on the planet, from the deep sea to the peaks of the highest mountains
- Detail: Science reporting: verify primary technical documentation
- Editorial reading: science reporting; whenever possible, verify the cited primary source.
Humans have left their mark on virtually every place on the planet, from the deep sea to the peaks of the highest mountains. But a few very remote atolls in the Pacific Ocean may be exceptions. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.
The significance lies in Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. This article has been reviewed according to Science X's editorial process and policies. A new Frontiers in Marine Science study has found two coral atolls, Bikar and Bokak, located on the territory of the Marshall Islands, to be some of the most intact ecosystems.
This study provides the first comprehensive ecological baseline of the newly created National Marine Sanctuaries of Bikar and Bokak atolls from the sky and land to the deep sea. In 2023, the team conducted extensive monitoring of local land, sea and sky ecosystems.
They assessed sea- and shorebird populations, characterized vegetation and carried out surveys of turtle nesting, coral reefs and fish assemblages using scuba, underwater video. It is a national, community-led conservation framework designed to protect marine and terrestrial resources while ensuring island life thrives for generations to come.
Across both atolls, the researchers found 15 seabird colonies that were confirmed or likely to be breeding. They also found at least 266 groups of reef fish, 138 groups of fish living at greater depths and 79 groups of deep-sea fishes.
The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.
Fourteen of the observed groups haven't previously been recorded in the Marshall Islands, and two might be species new to science. Sea turtle nesting, for example, was almost exclusively concentrated at Bikar, with 132 green sea turtle nest pits recorded.
Because this item comes through Phys. org Biology as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.
The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.
Original source: Phys. org Biology