- 1The Department of Chemical Sciences, Institute of Archaeology, Ariel University, Ari'el, Israel
- 2Geological Survey of Israel, Jerusalem, Israel
- 3Curt-Engelhorn-Zentrum Archaömetrie, Mannheim, Germany
- 4The Fredy and Nadine Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
- 5Classics and Ancient Mediterranean Studies, Jewish Studies, and Anthropology, The Pennsylvania State University, University Park, PA, United States
- 6Institute of Archaeology, The Hebrew University of Jerusalem, Jerusalem, Israel
Recent discoveries of iron production remains in multiple Iron Age sites throughout the Southern Levant indicate the significance of iron production in the region during this time. However, one main question remains unanswered—that is, provenance: Where were the iron resources located? Were they local or brought from afar? Answering these questions would allow great potential for reconstructing iron-ore procurement strategies and exploitation practices in the social, political, and economic context of the Southern Levant in the early 1st millennium BCE. It has long been assumed that iron ore, prevalent in the Earth's crust, is widely available. However, since high-grade ore was required for the smelting technology of the time, the bloomery process, only selected iron ore deposits in the region were suitable. This study aims to identify and characterize chemically and isotopically enriched iron-ore sources in the Southern Levant. Samples were collected from sedimentary and hydrothermal sources and analyzed for their iron content, trace elements composition, and osmium (Os) isotopic ratios. Here, we present the results of this preliminary investigation, introducing several substantial ore sources in the region and demonstrating the possibility of differentiating between these sources based on their chemical and Os isotopic composition. Finally, hematite objects from selected Iron Age archaeological sites are compared against the analyzed ore sources, showing inconsistency with the sampled ores.
1. Introduction
Iron is the fourth-most common element in the Earth's crust, forming much of the planet's outer and inner core. It is highly reactive within the environment and thus rare in its metallic state, limited mainly to deposition by meteorites. By contrast, iron-bearing minerals (ores) are among the most abundant in the Earth's crust and are often considered commonly available for exploitation. Nonetheless, compared with other mineral ores exploited in antiquity to produce metals, such as copper, lead, and silver, humans began to master iron-smelting technology in Eurasia only much later, toward the end of the 2nd millennium BCE (Erb-Satullo, 2019). This invention, namely the bloomery process, is commonly considered to be one of the most important and influential technological breakthroughs in human evolution (Tylecote, 1992; Buchwald and Wivel, 1998).
In the Southern Levant, iron gradually appeared during the late 2nd millennium BCE, primarily for prestigious use. Beginning in the 10th century BCE, the situation changed dramatically. Iron was used predominantly for agriculture and warfare, and evidence for iron production has been identified in multiple settlement sites (McNutt, 1990; Bunimovitz and Lederman, 2003; Veldhuijzen and Rehren, 2007; Eliyahu-Behar et al., 2012, 2013; Yahalom-Mack and Eliyahu-Behar, 2015; Killebrew and Quartermaine, 2016; Erb-Satullo and Walton, 2017; Erb-Satullo, 2019). The identification of iron production remains as early as the 10th century BCE indicated that this region was one of the first in the world to adopt iron for systematic tool and weapon production.
Based on the evidence at hand, in particular the location of production venues adjacent to or in association with administrative and public buildings, it had been suggested that the newly emerging political powers of the region were involved in the introduction and assimilation of the new technology (Bunimovitz and Lederman, 2012; Yahalom-Mack et al., 2017; Workman et al., 2020; Killebrew, 2023). With the considerable increase in the number of day-to-day iron artifacts during the mid-10th century BCE (Waldbaum, 1978, 1999; McNutt, 1990; Gottlieb, 2010; Yahalom-Mack and Eliyahu-Behar, 2015; Yahalom-Mack and Rabinovich, 2020), identifying the source of the iron used is most significant for understanding the social, political, and economic implications of the introduction of iron metallurgy into the region. Here, too, iron was considered widespread, an idea that is echoed in Deuteronomy 8:9: “A land whose stones are iron.” While this may be true, it remains to be determined how many of the deposits were rich enough to have been smelted using the prevailing technology of the time—the bloomery process—and which ore sources were, in fact, used during the Iron Age.
To date, no systematic attempt has been made to determine the provenance of iron objects from the Iron Age or from the subsequent periods in the Southern Levant. The most common method for establishing provenance, which utilizes slag inclusion analysis, has rarely been implemented, perhaps because of the lack of comparative material and the generally poor preservation of the iron, which is seldom maintained in its metallic form (Eliyahu-Behar and Yahalom-Mack, 2018). In the Southern Levant, only a single ore source, the Mugharet el-Wardeh ore deposit in the Ajlun, Jordan, yielded evidence for iron smelting in its vicinity, at Tell Hammeh (Veldhuijzen and van der Steen, 1999; Veldhuijzen and Rehren, 2007). The site, exhibiting tap-furnace smelting activities, was dated to the late 10th and early 9th centuries BCE based on three radiocarbon dates. An attempt to determine the provenance of iron objects from Tel Beth Shemesh, based on the analysis of slag inclusions, showed inconsistency with the Tell Hammeh (Ajlun) smelting slag (Blakelock et al., 2009). Another attempt to establish provenance, using chemical composition, suggested a correlation between iron objects from Beth Shemesh and the iron-rich nodules from the Adulam formation, which is located in the vicinity of the site (Ilani et al., 2020; and see the following discussion).
While chemical and lead isotope analysis (LIA) are routinely applied to determining the provenance of lead, silver, and copper-based alloys, the applicability of this method to iron and ferrous metals was shown to be impractical due to the generally low content of lead in iron ores and the high inhomogeneity of lead concentrations within ore deposits (Schwab et al., 2006). Os, by comparison, is highly siderophile in nature and hence significant. In a recent study, through a series of experimental iron smelts, using three iron-ore deposits collected from the Negev region (Israel), we produced consolidated blooms, slags, and metal bars, which were analyzed for the development and assessment of the potential of osmium (Os) isotope analysis for determining the provenance of iron (Brauns et al., 2013, 2020). An analysis of the Os isotopic composition of the ores, blooms, and metal bars obtained from these experiments confirmed that the 187Os/188Os isotopic ratio is maintained during the transition from ore to metal, with no significant isotopic fractionation, and that an enrichment/depletion of Os content occurred between ore to metal and ore to slag as expected (Brauns et al., 2020: Figure 6; Stepanov et al., 2022; Eliyahu-Behar, 2023).
Provenance methods for iron, whether utilizing slag inclusion analysis, bulk geochemical analysis, or isotope analysis, rely heavily on knowledge of the relevant geological sources. This study presents the first step in identifying and characterizing rich-iron sources in the Southern Levant that could have been used for the production of iron. Utilizing Os and detailed chemical analyses of selected iron ores from the region, we examine the variability between the main ore sources. These results will be useful for future iron provenance studies in the region.
Thirty-five samples were collected from 14 major deposits (Table 1, Figure 1). The samples were characterized for their mineralogical (using X-ray diffraction [XRD] and Fourier-transform infrared spectroscopy [FTIR]), geochemical (using inductively coupled plasma atomic emission spectroscopy [ICP-AES] and laser ablation inductively coupled plasma mass spectrometry [LA-ICP-MS]), and Os isotopic compositions. Although only a few samples were collected at each location, the samples included the rich iron phase (mostly hematite and goethite), with a minor presence of gangue minerals, and can be considered representative.
Figure 1. Map of Southern Levant, showing the location of the iron ores used in the study. Also marked are Iron Age sites, mentioned in the text.
A second data set analyzed in this study comprised selected hematite artifacts from Early Iron Age settlement strata. These were sampled under the assumption that some may originate from iron sources and may direct us toward them. As these are shaped from the original bulk rock, they are expected to have a similar chemical and isotopic signature if they originated from one of the studied ores.
2. Materials
2.1. Surveyed iron deposits
Iron-ore deposits in the Southern Levant, mainly west of the Jordan River, were thoroughly prospected and mapped during the 1950s by the Geological Survey of Israel. The deposits were categorized as derived from two main types of geological formations: sedimentary and epigenetic hydrothermal deposits (see the following subsections). The former are mostly known in the upper Galilee, for example at Ramim-Manara Ridge, and at the Ramon Crater in Israel's Negev desert but also occur as nodules in other formations, such as the Ora Formation of the Turonian age and the Taqiyya Formation of Paleocene age, which are geographically widespread. Epigenetic hydrothermal deposits are associated with major trending faults such as the Dead Sea Transform in the Negev Desert in Israel and in the Ajlun region, Jordan.
A short description of the samples collected for this study follows.
2.1.1. Sedimentary deposits
Sedimentary deposits are aeolian iron concretions formed by the chemical interaction of paleo-groundwater with iron minerals in porous sedimentary rocks. The concretions record a history of iron mobilization and precipitation caused by changes in oxidation conditions, pH, and bacterial activity (Ilani et al., 2020).
2.1.2. Ramim–Manara ridge
The ore deposit is situated in the Naftali Mountains of Upper Galilee and stretches from the northern tip of modern Israel into Lebanon. It is an aeolian sedimentary source built up of two layers, with a maximum thickness of approximately 1.2 m extended over 4 km. These layers contain ferrous minerals (mainly goethite) dating to the Albian period (Lower Cretaceous). During the 1950s, trenches and tunnels were made in a prospecting study. An average iron content of 25–28 wt% was estimated, and an overall quantity of 40 tons. Due to its relatively low iron concentration and the need for sub-surface mining, it was never exploited (Ilani, 1989). Two samples were collected; Sample IP23 is a reddish-purple sandstone from an exposed vein parallel to the cliff, and Sample IP24 was carved from the rocks at the entrance to the prospect tunnel (Figure 2).
Figure 2. Field views of the major sedimentary ores analyzed in this study. (a, b) Manara–Ramim. (c) View of the Taqiyya Formation exposure at Ahihud forest; note the iron concretion at the middle of the white chalk. (d) View of the Adulam Formation; note the two small iron concentrations seen as brown dots. (e) Sample IP72. (f) Sample IP71 (pyrite) collected from Adulam Formation; (g, h) iron nodules scattered at the surface, Timna.
2.1.3. Ahihud
The sampling location was chosen where a section in the Taqiyya Formation was exposed during construction works in the area. The Taqiyya Formation, of the Paleocene to the early Eocene age, is a massive unit of white-gray friable soft marl and chalk, in which brown to yellow-ochre oolitic iron was concentrated as concentric nodules. The mineralogy was mainly characterized by fossilized goethite, with low quartz, calcite, and clay associated. The average iron content was estimated to be lower than 30 wt%; however, some highly concentrated nodules were noted. Similar oolitic iron is also known from other locations in Central Galilee, such as the two samples analyzed in this research (Samples IP25 and IP26, ~80 wt%; see the following discussion). The samples for this study were carved out easily from the soft chalk (approximately 0.5 kg in 15 min of work by a single individual) and assigned as Samples IP25 and IP26.
2.1.4. Adulam Formation (Elah Valley)
The Adulam Formation of the early to middle Eocene age overlies the Taqiyya Formation and is widely exposed in the western Judean foothills. It is characterized by bedded limestone and hard chalk, containing lenses of chert and occasionally also oolitic/concretions of iron similar to the previously mentioned deposits in the Taqiyya Formation, and is often associated with the mineral barite (BaSO4). Samples IP71 and IP72 were collected at the western–northern part of the Elah stream, where the formation is widely exposed, close to the Iron Age IIA sites of Khirbet Qeiyafa and Tel Beth-Shemesh (Figure 1).
2.1.5. Arabah Ores—Timna and Wadi ‘Amram
Four samples of ferruginous iron-rich nodules were collected from the Arabah valley. These were formed through epigenetic remobilization, weathering, and erosion of the primary copper–iron (Cu-Fe) sulfidic ores of the Amir/Avrona Formation (Hauptmann, 2007, p. 63–68). Three samples were collected below the archaeological copper mining fields of Merkavot (IP51–52 and IP63). Sample IP62 was collected at Wadi ‘Amram, also a historical copper mining site. Mineralogically, they are dominated by quartz sand, contain an average of 20 to 30 wt% iron and minor anhydrite and calcite, and often have relatively high copper concentrations (between 1 and 4 wt% CuO; Ilani et al., 1985).
Additional sedimentary deposits were identified at Arad, Mishchor, the Dimona–Sdom Road, and the Ora Formation. These are minor deposits with low/very low iron content and therefore are not thoroughly discussed in this study.
2.1.6. Epigenetic hydrothermal deposits
Iron mineralizations of this type are restricted to regional tectonic lineaments. In the northern Sinai and the Negev Desert, they occur in carbonate rocks of the Cretaceous Judea Group and were emplaced via a two-stage process involving an initial step of dolomitization followed by the mineralization of the iron vein and trace metal enrichment. The Negev Desert consists of a series of east–west shear faults located between the head of the Aqaba Gulf and the northern Arava Valley, dissected by the north–south Dead Sea Transform segments of the African–Arabian plate boundary (Erel et al., 2006; Grosz et al., 2006; Ryb, 2008; Ryb et al., 2022). Hydrothermal solutions containing high percentages of iron moving upward through these faults had partially replaced the limestone in the massive carbonate rock and precipitated to form the iron-ore body. Several mechanisms were suggested for the formation of these ores, and studies of their paragenesis show variability in the associated minerals and especially in their iron content (Ilani et al., 1985; Ilani, 1989; Erel et al., 2006; Ryb, 2008).
2.2. Negev deposits
2.2.1. Wadi Nekarot and Nekarot-Evus
The iron deposits of these two locations are associated with the Shivta Formation and the Tamar Formation. In the Nekarot stream, iron-bearing lenses, which are up to 2 m wide and 80 m long, appear along the Ramon fault (Samples IP35-IP40 and IP61). At the junction of the two streams, Nekarot and Evus, fragmented ore chunks are widely dispersed on the surface of a small hill (Figure 3). These samples (IP41–IP44) are characterized by a striking black color and are substantially enriched with iron.
Figure 3. Field views of the major Hydrothermal ores analyzed in this study. (a, b) the exposed surface vein of Nekarot. (c, d) The geological fault at Nekarot-Evus and the ore scattered at the top of the hill. (e, f) The shaft created in the 1950s at the Zvar Habaqbuq/Paran deposit and a close-up view of the section. (g, h) View at the piles of ores and a close-up from the former Mugharet el-Wardeh cave, Ajlun, Jordan.
2.2.2. Zvar Habaqbuq/Paran
This deposit is located along the eastern part of one of the major faults in the Negev desert, the Paran fault, and is situated at the base of the Menuha Ridge segment. The Paran deposit was prospected in the early 1950s, and two shafts were carved down to its base, as well as a section trench. Despite being the most significant deposit in Israel, it was never economically exploited. The deposit appears between the Tamar Formation and the Ora Formation and comprises three main minerals, namely, hematite, goethite, and hematitic jasperoids (Ilani 2004). Three samples (IP21–22 and IP49) were analyzed from this deposit.
2.2.3. Eshet Dome–Ora formation
This deposit is situated approximately 10 km to the east of the Zvar Habaqbuq deposit along the Paran fault. Eshet Dome was also previously prospected (Figure 3). Two samples (IP46 and IP47) were analyzed from this location. On the trail pass to Eshet Dome, iron-rich nodules associated with the Ora Formation were also sampled (IP48).
2.2.4. The Ajlun deposit: Mugharet el-Wardeh (Jordan)
The iron-ore body of Mugharet el-Wardeh is a massive lenticular body approximately 300 m by 200 m, with a maximum thickness of up to 10 m, and is exposed and accessible at the surface in a few locations (Figure 3). It is predominantly composed of hematite, with lesser amounts of goethite and limonite, as well as calcite, quartz, and chalcedony in minor amounts (Bender, 1968). As these were formed by the upward movement of iron-rich hydrothermal solutions that replaced the hosting carbonate rocks, it is occasionally enriched with calcite. Al-Amri (2008) reports an average (n = 24) iron oxide (Fe2O3) content of 81.5 wt%, which he claims is the highest iron oxide value ever reported from ore mineralizations in the area of the Southern Levant. Five samples (IP27–28, IP64, and IP65A–B) were analyzed from this deposit.
2.3. Hematite artifacts
Hematite and other iron minerals (as well as simply dark stones) were used in different periods for various purposes, such as mace heads, scale weights, and hammerstones. The stones were rarely analyzed (but see Al-Amri, 2008), and the sources of the minerals are mostly unknown. For this study, we selected hematite artifacts from three Iron Age sites. The artifacts, originating from Tel Abel Beth Maacah, Tel Rehov, and Tell es-Safi/Gath, are listed with the registration data in Table 2, and some are shown in Figure 4.
3. Analytical methods and data analysis
Freshly broken fragments from the interior of the selected specimens were finely ground in an agate mortar to obtain a fine powder, which was then divided for the various analyses. We used XRD and FTIR to identify the major mineralogical components of the ores. XRD analyses were carried out using a Rigaku SmartLab SE instrument, with copper K-α radiation at 40 kV/50 mA. Powdered samples (prepared as pellets) were measured in a 2Theta/Theta mode between 10/15 and 75 degrees at a scan speed of 5/min and a scan step of 0.02.
FTIR spectra were obtained by grinding the samples with KBr (IR-grade) to produce a 5-mm-diameter pellet using a hand press. Representative spectra were collected between 4,000 and 400 cm−1 at 4 cm−1 resolution for 32 scans using a Thermo iS5 spectrometer (Thermo Fisher Scientific, Waltham, MA, USA). The interpretation of spectra is based on a library of mineral standards. The advantage of this method lies in the quick, easy gathering of information and its sensitivity to disordered phases, thus making it complementary to XRD. A summary of the results is given in Table 3.
Table 3. Major mineralogical phases determined by X-ray diffraction (XRD) and Fourier-transform infrared (FTIR) spectroscopy (some from Stepanov et al., 2020).
To directly measure the chemical composition including that of silica and carbonates, samples were subjected to LA-ICP-MS. Analyses were performed at the Curt-Engelhorn-Center of Archaeometry, Mannheim, Germany, along with the Os isotope analysis. The analysis was conducted using an iCAP Q ICP-MS (Thermo Fisher Scientific) and a 193-nm ArF laser ablation system (ATLSI300, RESOlution M-50).
Os isotopic composition (187Os/188Os) and Os concentrations were measured following a standard procedure (Brauns et al., 2000; Brauns, 2001). For analyses, powdered iron-ore samples (300 mg) were weighed into pre-spiked (185Re/190Os tracer with 185Re/190Os = 10.3) Carius tubes, followed by dissolution and equilibration with inverse aqua regia at 240 °C. Os was extracted by distillation of the volatile tetraoxide, condensed on a small volume (10 μl) of chilled H2SO4, and then collected in 2 mL of 6.8 N HBr. Final purification of Os was done by micro distillation (Birck et al., 1997). Os isotope ratios were measured by ion counting on a modified Finnigan-MAT 261 operated in jump mode, corrected for mass bias and oxides. Internal (2 SD) precision for unknowns was < ±0.3%. Final 187Os/188Os ratios are corrected for blank (0.075 ± 0.05 pg Os, 187Os/188Os blank: 0.108) assuming an Os yield of 85% (Brauns, 2001). Blank contribution to the samples in this work was negligible, below 0.5%.
Trace and rare earth elements (REEs) composition analyses were conducted on 7500 cx Agilent ICP-MS at Hebrew University. Approximately 1 g of fine powder was weighed, mixed with 0.5 M acetic acid in excess, and placed in a hot bath for 24 h in order to dissolve the carbonates. When completed, samples were washed using double-distilled water (<18 MΩ cm−1), dried, and weighed again. Approximately 100 mg of the carbonate-free sample was treated with 5 mL concentrated (9.5 N) HCl (in a hot bath for 8 h) to dissolve the oxides. When cooled, 0.5 mL of the supernatant was further diluted to a final volume of 10 mL, of which 2–3 mL was used for the analysis. Prior to the analysis, the ICP-MS was calibrated with a series of multielement standard solutions for trace and rare elements and REEs (Merck; ME VI). A solution of internal standards (750 μg/L Sc, 100 μg/L Re, and 50 μg/L Rh) was injected alongside the samples during the analytical session for drift and matrix correction. The contribution of metals by the reagents used in the procedures was determined by measuring procedural blanks. For precision and detection-limit estimation, the blank and two selected standards were remeasured prior to approximately every 20 samples and at the end of the analysis. In addition, for accuracy estimation, standard reference samples (U.S. Geological Survey standard reference sample T-235) were examined following calibration and at the end of the analysis.
In an attempt to further differentiate between the various ore deposits and find possible correlations between the ores and the hematite objects, the trace elements and REE data were examined using statistical methods.
The europium and cerium anomalies were calculated (Supplementary Table 1) using chondrite values (Piper and Bau, 2013). The concentration data were then rescaled using a centered-log ratio transformation and normalized using Z-score normalization (Aitchison, 1982). The transformed and scaled data were then used for calculating the pairwise Euclidean distance (PED) between each pair of samples, as well as the mean values for each group. In this representation, similar samples have small pairwise distances and hence appear in the matrix as blue pixels, whereas samples that are different from each other are characterized by high values of pairwise distance and are hence represented as orange and yellow pixels.
Following the calculation of the distance matrix and the average distance between groups, we used hierarchical clustering to present the data as a dendrogram. This approach is applicable for provenance studies because similar samples cluster close to each other and appear on branches that are separated by short lines, whereas specimens that are less similar appear on branches separated by long lines that split close to the beginning of the tree (e.g., Finkel et al., 2022). The cophenetic correlation metric is used to evaluate the reliability of the dendrogram and its ability to represent the multidimensional structure of the data using a two-dimensional figure. The same procedure was repeated with the hematite objects' data in order to determine which ore samples are most similar to the excavated artifacts.
The relative importance of key siderophile (cobalt, nickel, and molybdenum), lithophile (vanadium, chromium, manganese, and barium), and chalcophile (copper) elements in distinguishing ores was considered by examining the differences between the ores (at α = 0.05) using the Kruskal–Wallis (KW; Kruskal and Wallis, 1952) test. The KW test provides a non-parametric alternative analysis of variance (ANOVA) and was followed by a post-hoc pairwise test conducted using the Dunn-Šidák correction for multiple comparisons (Šidák, 1967). The resulting multiple comparison plots portray the mean ranks of the data (after Centered log-ratio (CLR) transformation) and their confidence intervals, where groups that are significantly different (at α = 0.05) can be distinguished.
4. Results
4.1. Ores
4.1.1. Mineralogy and major elements composition
Table 3 summarizes the major mineral components of the various ore deposits analyzed in this study. These are based on mineralogical characterization obtained by XRD and FTIR (some of which were previously published by Stepanov et al., 2020). Generally, the following minerals were identified: goethite and hematite as the major iron oxide phases and calcite, quartz, and occasionally barite and pyrite as secondary minerals. Some ores showed higher variability between samples, especially regarding the associated minerals and iron content. The chemical composition of the major elements as obtained by LA-ICP-MS, are presented in Table 4.
Table 4. Major elements composition of the studied ores analyzed by laser ablation inductively coupled plasma mass spectrometry, given in wt%.
Among the sedimentary formations (Ramim–Manara, Ahihud, Adulam, Mishchor, Dimona–Sdom Road, Arad, and Timna), samples are generally iron-poor and more silica/carbonate-rich. This excludes the concentrated nodules of Ahihud and Adulam, where iron content was measured up to 70–80 wt% Fe2O3, and samples from Timna with an average iron oxide content of approximately 60 wt%. The two Ahihud samples (IP25 and IP26) are very similar and are clearly dominated by goethite, with hardly any associated minerals. The two samples from Adulam differed from one another; one was identified as goethite (IP72), and the other was almost pure pyrite (IP71). The Ramim–Manara Ridge samples (IP23 and IP24) are composed of brown-reddish to purple sandstone; they are silica-rich (~30–40 wt%), and indeed, both FTIR and XRD show a high abundance of quartz.
The ferruginous nodules from the Arabah Valley (Timna and Wadi Amram) reveal an average of ~65 wt.% iron oxide (Fe2O3) as goethite and hematite, with significant levels of silica, an average of ~25 wt.% as quartz sand, and low levels of calcium oxide (CaO) (approximately 2 wt.%), correlating with the lack of carbonate minerals (Table 4). Note the high concentration of copper in the Arabah, approximately 2 wt% in Timna and 0.14%.wt in Wadi Amram. Furthermore, increased concentrations (in ppm) levels of lead, zinc, nickel, silver, and antimony were identified.
The Negev samples are on average highly rich in iron (approximately 80 wt.%). Elevated levels of barium were identified, especially in Nakarot and Nekarot-Evus ores, which is in agreement with the presence of barite as an associated mineral (Table 4). Their mineralogy includes goethite as the main ore mineral that is occasionally intergrown with hematite. Based on previous XRD, FTIR, and scanning electron microscopy (SEM) analyses, quartz and calcite are the main associated non-metallic minerals, often in the form of lenses or veins, and small amounts of gypsum (CaSO4) and barite (BaSO4) are also commonly present (Stepanov et al., 2020). IP35 and IP36 were collected from a weathered yellow-ochre ore and show relatively lower iron oxide content of approximately 60 wt%, whereas the other samples (IP37–40) have iron oxide (Fe2O3) content, which, on average, is higher than 85wt%.
In the three samples (IP21, IP22, and IP49) collected from Zvar Habaqbuq and Paran, the ore can be divided into two main mineralogical associations. Samples IP21 and IP49 are fine-grained, black to dark-gray ores of high density, dominated by a mixture of hematite and goethite, with an average of approximately 90 wt% Fe2O3, while sample IP22 is a brown, less dense ore, characterized by conchoidal fracture upon breaking and is dominated by much higher quartz content of approximately 70 wt% (see Table 4).
The two samples (IP46–47) from Eshet Dome show high Fe2O3 content of slightly <80 wt% with relatively high silica content of approximately 12 wt% on average.
Five samples (IP27–28, IP64, and IP65A–B) from the Ajlun were studied, showing high iron content of approximately 85 wt% Fe2O3, generally elevated CaO levels of approximately 12 wt% on average (up to 33 wt% in IP64), which supports a high amount of goethite and hematite minerals and calcite as the major associated minerals. The barium content of the Ajlun samples is clearly lower than those of the Negev ores, which correlates with the lack of gypsum and barite in the former (Table 4).
4.1.2. Os isotopic composition
A total of 43 ore samples were subjected to Os isotope analysis. The results are presented in Table 5. The Os isotopic ratios are shown against the Os concentrations in Figure 5. Using these two variables, a complex picture is obtained; however, some clusters are formed, and several ore sources may be differentiated. The sedimentary ores of Ahihud, Adulam, Mishchor, and Eshet Dome–Ora Formation, as well as one sample from Manara–Ramim (IP23), have relatively low Os isotopic ratios ranging between 0.38 and 0.76, thus well separated from both the Negev and the Ajlun ores. Note the considerable variability in their Os concentration, which is correlated with their iron oxide content. Among the sedimentary ores, samples from Timna (n = 3) have generally high Os isotopic ratios, which overlap with the ratios measured in the Ajlun ores.
Figure 5. 187Os/188Os isotopic ratio of the iron ores analyzed in this study. Sedimentary ores are marked with diamond shapes. Hydrothermal ores in circles. Full circles denote ores roasted for the smelting experiments (from Brauns et al., 2020), and Ajlun samples are marked in a square. Also marked are averages and std deviations when applicable.
Although the Nekarot (n = 10) and Nekarot-Evus (n = 5) samples show some variability, they generally cluster together both in their isotopic ratios and Os concentrations. However, when large quantities were sampled (IP38/IP61 from Nekarot and IP43 from Nekarot-Evus, approximately 100 kg each) for the purpose of the smelting experiment and measured after roasting, these provided a much tighter cluster, approximately 1.05 187Os/178Os (see IP43 and IP61; Brauns et al., 2020). Based on their similar mineralogy, chemical composition, and Os isotopic signature, the Nekarot and Nekarot-Evus ores are further treated as one group. While the three samples (IP21, IP22, and IP49) from the Zvar Habaqbuq/Paran deposit share similar Os isotopic values (with lower Os concentration) and are well separated from the Ajlun ores, the samples from Eshet do not. The latter have isotopic values, one that overlaps with the values of the Ajlun ores and one that is more radiogenic.
The Ajlun ores (n = 5) have higher average isotopic ratios (2.08 ± 0.3) than most of the sampled ores, with a partial overlap with the previously mentioned Nekarot, Eshet, and Timna ores.
Os concentrations can be used to differentiate between some of the overlapping ores. Such as in the case of Ajlun and Timna, Ajlun and Nekarot, and Nekarot and Paran. The two samples from Eshet are similar to the Ajlun ores in their Os concentration, rendering them inseparable from the Ajlun ores.
4.1.3. Trace element and REE composition of the ores
The EPD matrix, which was calculated based on trace elements concentrations and the europium and cerium anomalies (for the analytical results see Supplementary Table 1), demonstrates the relative homogeneity of each deposit (Figure 6). This is shown by the formation of blue rectangles along the diagonal (Figure 6A) and the increased mean distance of the groups compared with their own average (Figure 6B). The distribution of the specimens within the dendrogram (Figure 7) further points to their relative homogeneity, as well as a similarity between the groups, where the Nekarot (n = 16), Ahihud Forest (n = 2), and Zvar Habaqbuq (n = 3) specimens are all clustered, while the Ajlun samples (n = 5) are more spread out and isolated, indicating the heterogenic nature of the ore and its dissimilarity to the other studied sources.
Figure 6. (A) The Euclidean pairwise distance matrix based on trace elements composition of the studied iron ores recovered from archaeological excavations. Similar specimens appear as blue pixels, whereas less similar specimens are depicted by yellow and orange pixels. (B) The mean Euclidean pairwise distance matrix of iron ores.
Figure 7. Dendrogram of the studied iron ores. Line colors depict the different studied source localities.
The post-hoc analyses of the KW tests indicate that the differences between the groups are not significant at the α = 0.05 level for vanadium, chromium, copper, and molybdenum, whereas cobalt, manganese, nickel, and barium show some significant differences between some of the groups (Figure 8).
Figure 8. (A) The Euclidean pairwise distance matrix based on trace elements composition of the studied iron ores and hematite objects recovered from archaeological excavations. Similar specimens appear as blue pixels, whereas less similar specimens are depicted by yellow and orange pixels. (B) The mean Euclidean pairwise distance matrix of iron ores and hematite objects.
4.2. Hematite artifacts
Figure 9 presents the EPD matrix and the mean distances between the hematite objects and the iron-ore deposits based on trace element composition. The yellow and orange pixels on the EPD matrix (Figure 9A) demonstrate the high heterogeneity of the hematite objects, with mean distances of the Tell es-Safi/Gath (17.0) and Rehov (11.1) objects (Figure 9B), which are substantially higher than those calculated for each of the studied iron-ore deposits (Figure 6). The studied groups of hematite objects are substantially different from each other, with mean distances ranging between 10.7 (between Rehov and Abel Beit Maacah) and 19.1 (between Tell es-Safi and Tel Rehov).
Figure 9. Dendrogram of the studied iron ores and hematite objects. Line colors depict the different studied source localities.
When plotted as a dendrogram, most of these artifacts do not cluster together with the studied ores and form a separate cluster (Figure 10), with the exception of the hematite artifact of Abel Beth Maacah (ABM) and one from Tel Rehov (HEM1 and HEM2), which appear closer to the Ajlun and Zvar Habaqbuq ores, and two other samples HEM6 and HEM8, which appear closer to the Ajlun ores.
Figure 10. Multiple comparisons plots of key siderophile (cobalt, nickel, and molybdenum), lithophile (vanadium, chromium, manganese, and barium), and chalcophile (copper) elements, depicting the results of the Kruskal–Wallis (KW) test (Kruskal and Wallis, 1952) test and the post-hoc multiple comparisons test corrected utilizing the Dunn–Šidák approach (Šidák, 1967). The mean rank of the KW test and the confidence intervals for the ranks are depicted by a circle and horizontal lines, respectively. Groups that are significantly different (at α = 0.05) are depicted by different colors. The elements cobalt, manganese, nickel, and barium depict some significant differences between some of the analyzed groups.
When the Os isotopic ratios of the hematite objects are plotted together with the studied iron deposits (Figure 11), a majority of the objects (9/13) are inconsistent with the studied ores. They generally have lower Os isotopic ratios, certainly with respect to the hydrothermal ores, suggesting a possible correlation to the sedimentary ores. However, the few hematite objects that portray consistency with specific ores differ in their trace elements composition as shown previously (Figure 10). The lack of consistency between the chemical and isotopic composition of the hematite objects with the studied ores suggests that the former unlikely originated from the ores included in this study.
Figure 11. 187Os/188Os isotopic ratio of the hematite objects analyzed for this study plotted compared to the iron ores shown in Figure 5.
5. Discussion
Iron-ore sources in the Southern Levant were surveyed and characterized in this study in an attempt to identify ore sources that were possibly used for iron production during the Iron Age and later. This is part of an ongoing study of early iron production in the region, which was one of the earliest to adopt iron for mundane purposes. The aims, as described previously, were two-fold: to identify ores that were suitable for bloomery smelting, that is, rich in iron, and determine whether these can be discerned chemically and/or isotopically from one another. As the potential of Os isotope analysis for determining iron provenance was reported previously (Brauns et al., 2013, 2020; Dillmann et al., 2017; Liss et al., 2020; Schwab et al., 2022), this method was implemented here for this purpose. Several hematite artifacts from the early Iron Age were sampled as well and compared against the studied ores in a first attempt to determine whether some of these ores were exploited.
Relying on earlier surveys of iron ores conducted during the 1950s, hydrothermal and sedimentary sources were identified and sampled for analysis. Of the hydrothermal Negev sources, Zvar Habaqbuq is closest to an ancient throughway (at present Route 90) and has the widest surface exposure. No evidence exists to indicate ancient mining there or at any other site in this region. Mugharet el-Wardeh in Ajlun, as mentioned above, is the only source with evidence of exploitation, particularly during the Iron Age. Notably, while some of the hydrothermal sources, particularly Nekarot and Paran in the Negev, and Ajlun in Transjordan, were widely exposed at the surface, sedimentary sources were not. The main results of this preliminary study are discussed next.
5.1. Iron concentrations and suitability for bloomery smelting
In this study, we show that in addition to hydrothermal iron deposits in the Negev and Ajlun that were rich in iron and suitable for bloomery smelting, as expected, some sedimentary ores appear to have been suitable as well.
High iron concentrations in the hydrothermal sources measured in this study reinforced previous analyses (Bender, 1968; Ilani et al., 1985; Erel et al., 2006; Al-Amri, 2008; Ryb, 2008; Ryb et al., 2022), indicating their suitability for bloomery smelting. This was demonstrated by Adi Eliyahu Behar in an experimental procedure, which utilized the Nekarot, Nekarot-Evus, and Zvar Habaqbuq, successfully producing metallic iron (Brauns et al., 2020; Stepanov et al., 2022).
Some of the sedimentary iron sources were richer in iron than previously reported. The Ahihud and Adulam deposits contained iron nodules with a surprisingly high iron concentration reaching up to 70–80 wt% Fe2O3. The collection of these nodules may have been time-consuming but not necessarily uneconomical. Moreover, their potentially wide distribution and proximity to major Iron Age urban centers (in particular ‘Akko, Tel Beth Shemesh, and Tell es-Safi/Gath), in which evidence for iron production during the Iron Age was previously reported (Veldhuijzen and Rehren, 2007; Eliyahu-Behar et al., 2012; Killebrew and Quartermaine, 2016; Workman et al., 2020), render the sedimentary ores potential candidates for being sources of iron during the Iron Age. Notably, the iron nodules from Timna, while being quite rich in iron (65 wt% Fe2O3), were also relatively enriched with copper (up to 4 wt% CuO), as may be expected in this case. This may not pose a problem for the smelting process, but since these two elements are not miscible, distortions in the iron/steel microstructure occur, thereby compromising the metal's mechanical properties and its workability (e.g., Garza and Van Tyne, 2005; Sekunowo et al., 2014).
5.2. Discerning ore sources
The characterization of the iron ores sampled for this study indicated that despite considerable overlap, there is a possibility of discerning these ores from one another using siderophile elements and Os isotopic composition.
In this study, we were able to generally distinguish between the Ajlun and the Negev deposits using Os isotopic ratios, as well as between different deposits within the Negev, based on Os concentrations. The latter change during smelting, becoming enriched in the final metal product and thus may be useful for establishing provenance when concentrations in the potential ores are considerably higher and therefore can be eliminated as a possible source for the metal (Brauns et al., 2020).
Notably, the majority of the Negev ores show consistency in their Os isotope ratios (excluding Eshet). When sampled in large quantities for the smelting experiment reported by Brauns et al. (2020), the Os isotopic ratio of the Negev deposits clustered tightly around 1 (see roasted ore isotopic values in Figure 5). The Mugharet el-Wardeh deposit (Ajlun), on the contrary, exhibits relatively high heterogeneity of the Os isotopic ratios. This relative heterogeneity, which does not characterize the other sampled deposits, is also evident in the trace element composition as shown by the computational analysis. While this may be due to the limited number of samples analyzed for this study, Al-Amri (2008), who performed a more systematic analysis (n = 24) of this deposit, reached a similar conclusion, showing relatively high variability in iron and calcium concentrations (Al-Amri, 2008, p. 49, Figure 9).1
With respect to the sedimentary ores, the Adulam and the Ahihud deposits were discerned based on Os isotopic ratios from the hydrothermal sources mentioned previously exhibiting some of the lowest values (Figure 5). The two samples from Ahihud were discerned from the hydrothermal sources also based on their chemical composition, showing higher nickel, cobalt, and copper concentrations (Figure 10). Note that some of the elements are not significantly different at the α = 0.05 significance level; however, this is likely related to the limited number of available data for some of the groups, which reduces the strength of the test to identify differences at low α. Being siderophiles, these elements are of particular significance because they have a high affinity to iron. During the smelting process, these would follow the iron rather than partition into the slag and could potentially aid with determining provenance.
In a recent study, Ilani et al. (2020), suggested that the Adulam Formation was utilized as an iron source for the Tel Beth Shemesh Iron Age smithy. This conclusion was based on the comparison of barium concentrations measured in iron objects, notably corroded, to those measured in the Adulam ores. While an exceptionally high barium concentration was measured in the single Adulam ore sample that we sampled for this study, relatively high barium content was measured in other ores as well (e.g., the Negev ores; see Table 4). Moreover, barium is known to precipitate in porous materials (such as corroded metal) and is often used in geochemical studies to identify diagenetic post-depositional processes and is thus not a good proxy for determining provenance and certainly cannot be used as a sole indicator of source (Lambert et al., 1984; Manea-Krichten et al., 1991).
5.3. Hematite objects
Hematite artifacts from Iron Age archaeological sites were also analyzed in the framework of this study, as it was assumed that these may have been brought from the main iron sources of the period and may be thus indicative of these sources. These artifacts, if carved from the studied ores, should have been both chemically and isotopically consistent with them. However, the analysis of the 13 artifacts, which originated in three Iron Age sites, showed chemical and isotopic heterogeneity (in contrast with the relative homogeneity of each of the studied ore sources) and inconsistency with the studied ores. This suggests that these were brought from multiple deposits (or an extremely heterogeneous one or more), which do not appear to have been sampled for this study.
Generally, however, the Os isotopic composition was relatively low for the majority of the objects, for which there are two possible explanations.
The first is that variable sedimentary iron deposits were used for the production of the rather small hematite objects and that these varied sources were not used for systematic iron production. In this case, the two industries (object making and iron smelting) were fully separated, and the source of the hematite objects is not indicative of the deposits used for iron production. Admittedly, hematite was used throughout all periods for the production of small objects (e.g., in the Chalcolithic period, see Bar-Adon, 1961; Al-Amri, 2008); that is, this was not a practice that began with iron use.
The second possibility is that the role of sedimentary ores in iron production was underestimated for the Southern Levant and that these were, in fact, regularly used as sources of iron (as suggested by Ilani et al., 2020 for Tel Beth Shemesh). The use of sedimentary iron ores for iron production in Europe has been identified and studied (Gassmann et al., 2005; Gassmann et al., 2006, 2014; Brauns et al., 2013; Disser et al., 2017). Many of the Os isotopic ratio 187Os/188Os measured for the samples of the south Levantine sedimentary iron ores are within the variation range of sedimentary iron ores from southern Germany as presented in Dillmann et al. (2017; Supplementary 2, Figure 7). This requires that Os isotope analysis, when applied to inter-regional trade of iron, will need to be combined with other chemical variables and will rely heavily on archaeological and historical considerations (Dillmann et al., 2017; Stepanov et al., 2023). For the Early Iron Age in Southern Levant, the possibility that iron was imported from Europe is doubtful, since, as mentioned previously, cultures there lingered behind in the adoption of iron technology (see Erb-Satullo, 2019). Aside from Anatolia and the Northern Levant, from which our knowledge is currently limited, Cyprus is the only region where iron was systematically produced already during the late 2nd millennium BCE (e.g., Sherratt, 1994) and could have been used theoretically as an iron source. However, the few Os isotopic results from the gossan, which is the suggested iron source (“ochre and umber”; Kassianidou, 1994, p. 76), are highly radiogenic, higher than most of the ores from the Southern Levant sampled so far (see Liss et al., 2020), and certainly inconsistent with hematite objects discussed previously.
As mentioned previously, our study shows relatively high iron concentrations in nodules trapped in certain sedimentary formations. Clearly, a much wider sampling of such ores is required, especially since the ores sampled for this study do not appear to be the source of the specific hematite objects sampled here. The suggested use of relatively widespread sedimentary ores, as opposed to much rarer but richer and more concentrated hydrothermal ones, has wide implications regarding sociopolitical and economic organization during the Iron Age, particularly with regard to control over iron resources. More data are needed before the latter can be discussed. Moreover, further consideration of more distant sources is necessary, certainly more so as the Iron Age progressed, additional regions adopted iron for common use and the Levant came under imperial rule.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.
Author contributions
AE-B and NY-M equally and substantially contributed to the conception and design of the project, including the analysis and interpretation of data and writing of the manuscript. AK contributed to the conception of the project. YB performed the statistical analysis and wrote sections of the manuscript. YA was responsible for the geological survey. MB, OS, and OT prepared samples, conducted the analysis, and wrote sections of the manuscript. All authors contributed to the manuscript's revision and read and approved the submitted version.
Funding
The research presented here was mainly funded by the Israel Science Foundation (Grant No. 1047/17 to AE-B) and additional funds granted to NY-M by the Ruth Amiran Fund for Archaeological Research.
Acknowledgments
The authors wish to express their gratitude to Ivan Stepanov for some of the mineralogical analysis conducted in this research. The ores were surveyed and selected for analysis in collaboration with Yigal Erel. The authors are especially grateful to Erel for providing the chemical analysis and laboratory facility and for his guidance and valuable contribution to the interpretation of the results. We wish to thank Aren M. Maeir of Bar-Ilan University for allowing us to sample the hematite objects from Tell es-Safi/Gath, to Amihai Mazar, The Hebrew University of Jerusalem, for the Tel Rehov materials, to Erez Ben-Yosef of Tel Aviv university, for assistance in ore sampling from Timna, and to Uzi Avner of the Arava Dead Sea Science Center for his help collecting ore samples in Wadi Amram.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fearc.2023.1221130/full#supplementary-material
Footnotes
1. ^Unfortunately, the trace elements that Al-Amri measured from this deposit are not the same as in our study and thus are not comparable.
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Keywords: iron ores, bloomery process, iron provenance, osmium isotope analysis, Southern Levant
Citation: Eliyahu-Behar A, Ben Dor Y, Brauns M, Shulman OA, Avni Y, Killebrew AE, Tirosh O and Yahalom-Mack N (2023) “A land whose stones are iron...”—Iron ore sources in the Southern Levant. Front. Environ. Archaeol. 2:1221130. doi: 10.3389/fearc.2023.1221130
Received: 11 May 2023; Accepted: 03 August 2023;
Published: 14 September 2023.
Edited by:
Peter Bray, University of Reading, United KingdomReviewed by:
Yimin Yang, University of Chinese Academy of Sciences, ChinaAlicia Van Ham-Meert, KU Leuven, Belgium
Copyright © 2023 Eliyahu-Behar, Ben Dor, Brauns, Shulman, Avni, Killebrew, Tirosh and Yahalom-Mack. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Adi Eliyahu-Behar, YWRpZWxpJiN4MDAwNDA7YXJpZWwuYWMuaWw=; Naama Yahalom-Mack, TmFhbWEuWWFoYWxvbSYjeDAwMDQwO21haWwuaHVqaS5hYy5pbA==
†These authors have contributed equally to this work