Redacción HC
22/06/2024
For decades, Easter Island (Rapa Nui) has served as a cautionary tale in environmental debates—a once-thriving civilization that allegedly collapsed due to ecological overexploitation. Central to this narrative is the idea that the island's ancient population over-farmed its land using extensive "stone gardens," leading to societal collapse. But a new study published in Science Advances suggests this might be a fundamentally flawed interpretation.
Using cutting-edge satellite imagery and machine learning, researchers now argue that Rapa Nui's agricultural capacity—and thus its population—was much smaller than previously believed. These findings challenge long-held beliefs and offer a new, more sustainable perspective on the island's history.
The study, led by Dylan S. Davis from Columbia University, combines remote sensing and artificial intelligence to map out the true extent of agricultural activity on Rapa Nui. Previous estimates of cultivated land ranged from 4.3 to 21 square kilometers, assumptions that fed into population models suggesting as many as 17,000 inhabitants before European contact.
But the new analysis reveals that only 0.76 square kilometers of stone garden agriculture likely existed—a fraction of earlier estimates.
"This drastically changes our understanding of what the landscape could realistically support," says Davis.
To achieve this reevaluation, the researchers analyzed shortwave infrared (SWIR) satellite images collected over five years by the WorldView-3 satellite. This method provides high-resolution differentiation of soil and vegetation types, making it possible to identify ancient agricultural plots more accurately than ever before.
The team trained machine learning models—including entropy classifiers and random forest algorithms—on validated field data to distinguish stone gardens from natural rocky outcrops, pathways, and degraded soils.
Once the automated classification was complete, they manually corrected the maps using ArcGIS, ensuring a clean and reliable spatial dataset. The final step involved estimating potential yields of sweet potato (Ipomoea batatas)—a staple crop—based on known productivity metrics.
The study's most striking conclusion is that the realistic pre-contact population of Rapa Nui likely ranged from 1,100 to 3,900 people, depending on agricultural intensity. Even when accounting for marine food sources, the upper bound reaches only around 3,000—a far cry from previous projections.
This reappraisal undermines the long-standing hypothesis that the island suffered a massive demographic collapse due to resource exhaustion.
"We're not seeing evidence of an island stretched beyond its agricultural limits," co-author Carl P. Lipo explains.
This supports a growing body of research suggesting that the collapse narrative may have been overstated or even incorrect, built on flawed data and overgeneralized assumptions.
This research is not only important for Rapa Nui—it demonstrates how advanced imaging and machine learning can revolutionize archaeological interpretation.
Older studies relied on VNIR (visible and near-infrared) sensors, which lacked the precision necessary to distinguish small-scale agricultural features. By using SWIR imaging, the team achieved an accuracy rate of 82% and a Kappa score of 0.79, indicating a strong match between the classified land and ground-truth data.
Such precision allows for more reliable reconstructions of past societies and better informs models of human-environment interaction.
"It's like updating an ancient map with satellite-grade accuracy," notes Robert J. DiNapoli, another co-author.
The findings contribute to a broader effort to re-evaluate historical narratives of environmental collapse—not just in Rapa Nui, but across the Pacific and beyond. Other cultures labeled as self-destructive may also have been more sustainable and adaptable than previously thought.
"We need to respect the complexity of ancient societies, not reduce them to morality tales," says Gina Pakarati, a Rapa Nui-based researcher and co-author.
Rapa Nui is often invoked in global discussions about sustainability and collapse. By correcting misinterpretations about its past, we can reshape the way modern societies view resilience.
This shift also resonates with indigenous communities across Latin America, where similar assumptions about past ecological mismanagement persist. The tools used in this study—SWIR imaging and machine learning—can now be applied in places like the Andes or Amazonia to challenge outdated models and highlight more nuanced stories of adaptation.
History, like archaeology, evolves with evidence. The new portrait of Rapa Nui shows a smaller, sustainable population using limited farmland intelligently—not a culture that self-destructed.
This challenges us to reframe how we tell stories about past human societies. Rather than emphasizing collapse, we should focus on complexity, resilience, and the lessons they offer for navigating today's environmental challenges.
"It's not that they failed. It's that we misunderstood," concludes Terry L. Hunt, co-author and professor at the University of Arizona.
Topics of interest
HistoryReferencia: Davis DS, DiNapoli RJ, Lipo CP, Pakarati G, Hunt TL. Island-wide characterization of agricultural production challenges the demographic collapse hypothesis for Rapa Nui (Easter Island). Sci Adv [Internet]. 2024 Jun 21. Available on: https://doi.org/10.1126/sciadv.ado1459.