New research has shown that early humans who lived in Israel’s Hula Valley invested in systematic procurement of raw materials hundreds of thousands of years ago – much earlier than previously assumed
The study from Tel Aviv University and Tel-Hai College is an important one as archeologists and prehistorians try to get a better understanding of how our modern world came to be.
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The researchers claim this solves an old mystery: Where did early humans in the Hula Valley get flint to make the prehistoric tools known as handaxes? The researchers applied advanced methods of chemical analysis and AI to identify the geochemical fingerprints of handaxes from the Hula Valley’s oldest prehistoric sites, Ma’ayan Barukh and Gesher Benot Ya’aqov. Their findings indicate that the raw material came from exposures of high-quality flint in the Dishon Plateau, about 20km to the west, and hundreds of meters above the Hula Valley.
The researchers: “Our findings indicate that these early humans had high social and cognitive abilities: they were familiar with their surroundings, knew the available resources, and made great efforts to procure the high-quality raw materials they needed. For this purpose, they planned and carried out long journeys, and transferred this essential knowledge to subsequent generations.”
The study was led by Dr. Meir Finkel of the Department of Archaeology and Ancient Near East Cultures, Tel Aviv University and Prof. Gonen Sharon of the MA Program in Galilee Studies, Tel-Hai College, in collaboration with Prof. Erez Ben-Yosef, Tel Aviv University, Dr. Oded Bar and Dr. Yoav Ben Dor, the Geological Survey of Israel, and Ofir Tirosh, the Hebrew University.
In the present study the researchers looked for the source of the raw material used to produce thousands of handaxes found at two prehistoric sites in the Hula Valley: Gesher Benot Ya’aqov, dated to 750,000 YBP and Ma’ayan Barukh, dated to 500,000 YBP, both of the Acheulian culture. Prof. Sharon: “Approximately 3,500 handaxes were found scattered on the ground at Ma’ayan Barukh, and several thousands more were discovered at Gesher Benot Ya’aqov. The average hand axe, a little over 10cm long and weighing about 200g, was produced by reducing stones that are five times larger – at least 1kg of raw material. In other words, to make the 3,500 handaxes found at Ma’ayan Barukh alone, early humans needed 3.5 tons of flint. But where did they obtain such a huge amount of flint? Many researchers have tried to answer this question, but our study was the first to use innovative 21st century technologies: advanced chemical analysis and an AI algorithm developed specifically for this purpose.”
The researchers took samples from 20 handaxes – 10 from Gesher Benot Ya’aqov and 10 from Ma’ayan Barukh, ground them into powder and dissolved the powder in acid in a clean lab. For each sample they measured the concentration of approximately 40 chemical elements, using an ICP-MS (inductively coupled plasma mass spectrometer), a state-of-the-art device that accurately measures the concentration of dozens of elements, down to a resolution of one particle per billion.
In addition, in order to locate possible flint sources available to the Hula Valley’s prehistoric inhabitants, the researchers conducted a field survey covering flint exposures in the Safed Mountains, Ramim Ridge, Golan Heights, and Dishon Plateau, as well as cobbles from streams draining into the Hula Valley: the Jordan, Ayun, Dishon, Rosh Pina, and Mahanayeem. This methodical survey was combined with a comprehensive literature review led by Dr. Bar of the Geological Survey of Israel. Flint samples collected from all potential sources were then analyzed using ICP-MS technology to enable comparison with the handaxes. A novel computational approach specially adapted by Dr. Ben Dor of the Geological Survey of Israel was used for this comparison.
Dr. Ben Dor: “The complex process, from collecting and preparing the samples to the chemical analysis, produced a very large amount of data for each sample. To enable optimal matching between data from the archaeological artifacts and data from the flint exposures, we developed a dedicated algorithm based on several computational steps, alongside machine learning models. Thus, we were able to classify the archaeological artifacts according to the database derived from the geological samples.”
