Original Research
Frontiers in Environmental Archaeology ·
Volume 5 - 2026 | https://doi.org/10.3389/fearc.2026.1820137
Nascent agricultural extensification and distinct household cultivation strategies supported first population centers in Neolithic southeastern Europe
- Paul R. Duffy1,2*corresponding author
- Kelly Reed3
- Pál Raczky4
- Nándor Kalicz5
- Helmut Kroll1
- Cheryl A. Makarewicz1,2,6*corresponding author
- 1Institute for Prehistoric and Protohistoric Archaeology, University of Kiel, Kiel, Germany
- 2Archaeology Stable Isotope Laboratory, University of Kiel, Kiel, Germany
- 3School of Architecture, Oxford Brookes University, Oxford, United Kingdom
- 4Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
- 5Archaeological Institute, Hungarian National Academy of Sciences, Budapest, Hungary
- 6Department of Archaeological Sciences, School of Archaeology and Maritime Cultures, University of Haifa, Haifa, Israel
Abstract
Late Neolithic settlements in southeastern Europe expanded to unprecedented sizes, potentially reshaping agricultural practices and household production strategies in response to increasing demographic and environmental constraints. On the Great Hungarian Plain, such population aggregation occurred within landscapes characterized by extensive wetlands and limited arable land, raising questions about how cultivation regimes were organized and whether expanding communities fostered emerging inequalities in access to agricultural resources. We address these issues at the large tell settlement of Berettyóújfalu–Herpály (Hungary) through an integrated analysis of over 33,000 charred archaeobotanical remains recovered from nine contemporaneous houses destroyed by fire in the mid-fifth millennium BCE. By combining functional weed ecology (Functional Interpretation of Botanical Surveys), cereal morphometrics, and stable carbon and nitrogen isotope measurements on individual grains (n = 104), we reconstruct field conditions, manuring intensity, water availability, and labor investment at the household level. Emmer and einkorn wheats exhibit consistently high δ 1 ⁵N values, indicating sustained manuring and broadly shared access to dung resources, while weed assemblages reveal reduced weeding intensity relative to earlier Neolithic garden-based cultivation systems. Barley, by contrast, displays lower nitrogen isotope values and weed communities characteristic of lower-input regimes, suggesting spatially differentiated crop management in which wheats were grown in more intensively tended plots and barley was grown in wetter or more distant fields. Variation among houses in charred seed isotope values and grain size points to emerging household-level differences in access to labor, land, or livestock, while mixed cropping of emmer and einkorn reflects risk-buffering strategies in a hydrologically constrained landscape. Overall, evidence from the settlement of Berettyóújfalu–Herpály suggests that early population centers on the Great Hungarian Plain maintained predominantly intensive cultivation while selectively experimenting with extensification at the scale of crops and households. Household variability did not translate into major disparities in stored crops, implying that cooperative mechanisms tempered the development of sustained inequality.
Keywords
Introduction
Early Neolithic farming systems in southeastern Europe were based on a cohesive “package” of domesticated cereals and legumes, including emmer wheat, barley, and peas, managed using some form of labor-intensive manuring and weeding regime characteristic of smallholder family farming (Bogaard, 2004; Bogaard et al., 2013, 2016). By the Late Neolithic, some settlements had expanded dramatically, reaching up to 140 ha in extent and housing hundreds, if not thousands, of inhabitants (Gyucha et al., 2019; Marić et al., 2021; Osztás et al., 2016). This demographic and spatial growth likely reconfigured farming practices, encouraging more extensive land-use strategies and reduced labor investment per field in response to rising subsistence demands and increasing constraints on access to arable land (Duffy 2014: 235–250). At these larger settlements, where distances between households and cultivated fields were likely substantial, maintaining regular weeding and intensive manuring may have become increasingly difficult. One effective strategy to reduce labor requirements was the use of animal traction to achieve a form of “extensive cultivation,” enabling the planting and harvesting of larger fields, albeit with lower productivity due to reduced per-area labor inputs (Halstead, 1995, 2014; Styring et al., 2017a).
Differences in access to land, labor, and resources between households may have contributed to emerging inequalities in ancient societies (Filipović et al., 2023; Hayden and Cannon, 1982; Twiss et al., 2024), which may have been expressed in part through contrasting modes of intensive and extensive agriculture (Bogaard et al., 2019; Styring et al., 2017a). Intensive cultivation is typically characterized by small, closely managed plots, high labor inputs, and sustained investment in soil fertility through practices such as manuring and weeding, which typically rely on household labor. In contrast, extensive agriculture emphasizes the expansion of cultivated area rather than labor intensity. It generally involves lower per-area inputs, greater reliance on land availability and traction animals, and is more easily scaled beyond the household level. Along these lines, the advent of extensive land cultivation may have contributed to the amplification of social inequality, as the capital required—particularly traction animals—was unlikely to have been uniformly accessible across households. Livestock, like land, could be accumulated and inherited, facilitating the creation of relational debts through loans and the reproduction of inequities across generations (Bogaard et al., 2019; Halstead, 1995; Kohler et al., 2017). Although cattle appear to have been used for traction as early as the 6th millennium BCE at Çatalhöyük and in settlements located in the Western Balkans by 6000 BCE (Gaastra et al., 2018; Kamjan et al., 2022), there is currently little evidence for the use of animal traction in ard- or plow-based agriculture in southeastern Europe. In the absence of animal traction, potential pathways toward agricultural extensification would have been to plant more crops, albeit in less productive plots or with reduced fertilizer or labor inputs, or reorganize available human labor pools from small, household-centered units to more coordinated labor groups operating across multiple households linked by kinship.
As settlements became more densely populated and spatially nucleated (Duffy et al., 2025), securing arable land within close reach of settlements may have been increasingly difficult on the Great Hungarian Plain, where large swathes of the landscape were inundated with water for months at a time (Gyucha et al., 2011; Lóczy, 1988). Before 19th-century river regulation, the Berettyó River flowed in large meanders from the Apuseni Mountains onto the Great Hungarian Plain, dispersing into the Nagy-Sárrét marshes (Gyucha et al., 2011; Plásztán et al., 2017). This valley formed an extensive, poorly drained swamp system, described as the largest wetland of the eastern Great Hungarian Plain.
Here, we explore the relationship between agricultural regime intensity and the organization of household production on the Great Hungarian Plain, where some of Europe's earliest major population centers, such as Polgár-Csőszhalom, Szeghalom-Kovács-halom, and Csökmő-Kapasztás-domb, emerged during the Late Neolithic by the mid-fifth millennium BCE (Gyucha et al., 2019; Raczky et al., 2002; Riebe et al., 2023). Our analysis focuses on the large tell settlement of Berettyóújfalu–Herpály (Herpály) (Figure 1), located within the land-constrained wetlands of the Nagy Sárrét, where we document variation in household-level cultivation strategies, including manuring and the management of field placement under wetland conditions, through an integrated approach that combines cereal morphometric, weed ecology, and carbon (δ13C) and nitrogen (δ15N) analyses of charred cereals.

Berettyóújfalu–Herpály
Herpály is a 0.3-ha tell site, with two-story buildings flanked by 12 ha of flat, outlying settlement areas (Figure 2) (Hofmann et al., 2019; Kalicz, 2001; Raczky and Anders, 2014; Riebe et al., 2023). The site is attributed to the Tisza–Herpály–Csőszhalom culture, extended from the upper Tisza to the Maros–Tisza confluence near the Serbian border (Kalicz and Raczky, 1987). The Herpály subgroup, defined by distinct painted ceramics, the burial of infants near houses, and a higher importance of wild animals contributing to the subsistence economy compared to neighboring groups, is best documented at this eponymous site (Kalicz and Raczky, 1984; Kalicz et al., 2011; Riebe, 2021); however, an additional 35 settlements are known, mostly along the Berettyó and Sebes Körös Rivers. Situated within a fluvial landscape of meadows, swamps, and forests (Frolking, 2021; Gyucha et al., 2011; Kiss et al., 2015), arable land around Herpály was limited. The landscape surrounding Herpály was wet, with the river in the Berettyó valley forming an extensive, poorly drained perennial swamp system (Figure 2). The floodplain was characterized by frequent overbank flooding, oxbow lakes, backswamps, and abandoned meanders, producing a complex mosaic of wetlands interspersed with slightly elevated ridges in the Berettyó–Körös interfluve. Agricultural productivity within this saturated portion of the plain would have been limited, supporting an estimated population of only 100–300 people in a village setting in the absence of plow agriculture (Duffy, 2014: 235–253). Today, the Herpály region is approximately 500–600 mm of annual precipitation, characterized by relatively dry winters and wet summers (Bihari et al., 2018). Climate modeling suggests that during the Late Neolithic, summers were slightly warmer and precipitation was higher (Magyari et al., 2024), probably ranging between 600 and 650 mm annually in the driest parts of the region.

Like all other Neolithic settlements located within 100 km of Herpály, agriculture focused primarily on emmer wheat (Triticum dicoccum) and barley (Hordeum vulgare), followed by einkorn wheat (Triticum monococcum) (Bogaard et al., 2007a; Füzes, 1990; Gyulai, 2010a, 2010b, 2012; Hartyányi and Nováki, 1974; Hartyányi and Sz. Máthé, 1980; Hartyányi et al., 1968; Moskal-del Hoyo and Lityńska-Zając, 2016; Moskal-del Hoyo et al., 2018; Nagy et al., 2014). Peas (Pisum sativum) and lentils (Lens culinaris) were also grown, while wild fruits, such as cornelian cherry (Cornus mas), plums (Prunus cerasifera, P. domestica, P. spinosa), wild strawberry (Fragaria vesca), and occasional grape (Vitis vinifera subsp. sylvestris), were also gathered. Livestock management systems at Herpály relied primarily on cattle (28% of the total faunal assemblage), although details of the proportions of wild and domestic varieties require publishing of the full assemblage (Bökönyi, 1986; Raczky et al., 2020). Suids were also heavily exploited (38%), with a large proportion likely representing wild boar (Bökönyi, 1986). A similar pattern is also seen at the nearby tell site of Polgár-Csőszhalom, where wild boar account for 13% of the identified species (Raczky et al., 2002). Red deer were intensively hunted (21% of large mammals), and roe deer were also occasionally hunted (Raczky et al., 2020).
Excavations at Herpály were conducted from 1977 to 1982 in two areas (Trenches I–II and Trench III, Figure 2); details on excavation and site chronology are provided in Supplementary Material Data Sheet 1. Five main building horizons and corresponding chronological phases have been distinguished within the 300 cm thick Late Neolithic layer sequence of the Herpály tell (Supplementary Material Data Sheet 1, Figure S1). Level 8, featuring the so-called “large burnt horizon” at a depth of 265–340 cm, represents a continuation of the occupation established in level 9 (Kalicz and Raczky, 1984). The complete state of destruction by fire and the deposition of thick, unburned layers of clay on burned remains to “cap” the structure suggest that these houses were deliberately burned as part of a collective ritual practice, a common practice in the Late Neolithic (Chapman, 1999; Kalicz et al., 2011; McPherron and Srejović, 1988; Raczky et al., 2020; Stefanović, 1997; Tringham, 2005). Crucially, the fire preserved the houses along with their internal arrangement and furnishings, including charred seed remains that likely represent the remains of stored grains and pulses kept within the houses.
Nine closely spaced, two-story tripartite houses—most approximately 10–12 m in length and 4–5.5 m wide—were uncovered (level 8: houses 5, 5/a, 6, 7, 8, 9, 10, 11, and 12; Figure 3). Radiometric determinations measured from charcoal recovered from the floor and rubble contexts of these houses show strong overlap, suggesting that these structures were contemporaneous in use (4634 to 4541 cal BCE, 68.2%) (Raczky et al. 2020, Table 1). Within house 11, “house 11/a” and “house 11/b” described different strata: the upper stratum “a” is interpreted as the collapse of the second-story floors of these structures, while the stratum “b” represents the ground floors. Note that houses 5 and 5/a represent two adjacent structures.

Table 1. Berettyóújfalu–Herpály sample context information.
| Flot no. | Trench | Unita | Layerb | Min depth | Max depth | Context | Isotope analysis | Seed morphology |
|---|---|---|---|---|---|---|---|---|
| 1 | II | U-1 | 8 | House 10, ground floor at the NW corner | ||||
| 2 | II | V | 8 | 310 | 330 | House 9, ground floor | ||
| 3 | H | 8 | House 7, hearth on the ground floor | |||||
| 4 | II | G | 8 | House 6/b, ground floor, beside the eastern wall, near sample 22 | ||||
| 5 | II | G-17 | 7/8 | 245 | 310 | House 6/a, upper floor surface | ||
| 6 | II | G-18 | 7/8 | 245 | 310 | House 6/a, upper floor surface | ||
| 7 | II | H | 8 | House 7, ground floor, next to the big storage vessel | 10 x barley10 x emmer6 x einkorn | 6 x barley10 x emmer5 x einkorn | ||
| 8 | I | F | 7/8 | ca. 330 | House 11/a, upper floor surface | |||
| 9 | I | E | 7/8 | 315 | 330 | House 11/a, under the burned daub | ||
| 10 | I | E | 8 | 315 | 330 | House 11/b, ground floor surface | 10 x barley | 9 x barley |
| 11 | II | U | 8 | 315 | 330 | House 10, ground floor surface | ||
| 12 | I | E | 7/8 | ca. 330 | House 11/a, upper floor surface | 10 x emmer10 x einkorn | 9 x emmer11 x einkorn | |
| 13 | I | F | 7/8 | 315 | 330 | House 11/a, burned rubble | ||
| 14 | I | E | 7/8 | ca. 330 | House 11/a, upper floor surface | |||
| 15 | II | U | 8 | House 10, next to the western wall, from the hearth | ||||
| 16 | I | B | 8 | 295 | 315 | Around or from house 11/b rubble on the ground floor | ||
| 17 | II | U | 8 | House 10, ground floor, next to the western wall | ||||
| 18 | II | C-17 | 7/8 | 245 | 270 | House 6/a, upper floor | 10 x emmer8 x einkorn | 5 x emmer2 x einkorn |
| 19 | I | B | 8 | 315 | 330 | House 11/b, rubble on the ground floor | ||
| 20 | II | U | 8 | 270 | 310 | House 10, from the cleaning of the rubble | ||
| 21 | I | M | 8 | House 11/b, collapsed gable on the ground floor | ||||
| 22 | I | G | 8 | 350 | 350 | House 6/b, ground floor | ||
| 23 | II | U | 7/8 | House 10/a, upper floor surface | 10 x barley | 8 x barley | ||
| 24 | II | U | 8 | 315 | 330 | House 10, ground floor surface | 10 x emmer10 x einkorn | 11 x emmer11 x einkorn |
| 25 | I | J | 7/8 | Beside Grave 4 | ||||
| 26 | I | F | 8 | 315 | 330 | House 11/b, ground floor surface | ||
| 27 | II | H | 8 | 300 | 330 | House 7, ground floor surface | ||
| 28 | II | G-13 | 8 | 270 | 290 | House 6/b, ground floor surface | ||
| 29 | II | H | 8 | 300 | 330 | House 7, ground floor surface | ||
| 30 | I | E | 7/8 | ca. 330 | House 11/a, upper floor surface | |||
| 31 | 1 | F/E | 8 | 330 | 350 | House 11/b, ground floor surface | ||
| 32 | I | B | 8 | 315 | 330 | House 12, ground floor surface | ||
| 33 | I | I-9 | 7/8 | 245 | 270 | House 5, rubble |
Locations found in Figure 3.
Excavation documentation labels some samples as layer 7, but subsequent analysis and interpretation now classify them as layer 8 (Raczky et al. 2020).
Hearths and other internal features were rebuilt multiple times (e.g., house 9; Raczky et al. 2020: 30–31), unlike other Neolithic structures in nearby Romania that were built only with the intention of single-use burning (Gheorghiu, 2009). It is unclear whether all houses from level 8 were burned at the same time. However, the close proximity of houses 6–10, somewhat separated from closely packed houses 5a, 5b, 11, and 12, suggests that burning took place in a maximum of two events (Figure 3). The fire could not have been contained to a single house in a cluster, given their close spacing and the high flammability of their presumably thatched roofs.
Inferring ancient cultivation regimes through stable isotope analysis and functional weed ecology
Agricultural production is shaped in part by labor accessibility and resource availability, both of which influence cultivation practices and in turn configure intensive or extensive agricultural regimes. Intensive cultivation is closely associated with abundant household labor and agricultural strategies aimed at maximizing agricultural output per unit area (Bogaard et al., 2019). Practices such as tilling, weeding, and manuring are highly labor-intensive but enhance crop yields by improving soil fertility and suppressing weedy competitors (Bogaard et al., 2016; Halstead, 1995). In contrast, land-limited strategies can increase agricultural production by expanding the area under cultivation while reducing labor inputs in intensive agricultural practices (Jones et al., 2000). Although yields per unit area decline under extensification, absolute yields can increase due to the larger cultivation land areas (Bogaard et al. 2016). Reflecting lower labor inputs, extensively managed fields are typically characterized by reduced soil disturbance, lower fertility, and decreased productivity per unit of area (Bogaard et al., 2022). Intensive garden agriculture is characterized by high labor demands, typically drawn from the household, while extensive agriculture involves a lower labor investment, freeing part of the population from routine fieldwork. However, placing larger areas under planting also increases the risk of harvesting bottlenecks that require the short-term mobilization of far more people than is needed for most of the year.
Crop-growing conditions, cultivation practices, and associated labor investments can be reconstructed through stable isotope analysis of cultivars and weed ecologies from the fields in which those crops were grown (Bogaard et al., 2007b, 2016; Fraser et al., 2011). The isotopic composition of charred crop seeds reflects local environmental conditions, in particular water availability and soil fertility (Bogaard, 2004; Bogaard et al., 2013, 2016; Styring et al., 2016b, 2017b). Carbon isotope ratios of C3 cereal crops are strongly influenced by water availability (Flohr et al., 2019; Jones et al., 2021). Under water-stressed conditions, C3 plants partially close their stomata, reducing stomatal conductance and intercellular CO2 concentrations, which results in the enrichment of 13C in growing plant tissues (Araus et al., 1997). Carbon isotope ratios measured from charred seeds have successfully informed on light intensity (the “canopy effect”), irrigation, waterlogging, and the spatial separation of plots (Araus et al., 1997; Fan et al., 2018; Ferrio et al., 2005; Flohr et al., 2019; Riehl et al., 2008). Nitrogen isotope ratios of cereal crop plants reflect the nitrogen isotopic composition of the soils in which they grow (Högberg, 1997; Robinson, 2001). Natural influences on soil N include climate, topography, waterlogging, soil salinity, and mycorrhizal fungal associations (Szpak, 2014). In agricultural landscapes, field fallowing and fertilization are important modifiers of the soil nitrogen cycle. The addition of animal manure results in the enrichment of 15N in crop plants due to the preferential volatilization of 14N in ammonia from soils (Bogaard et al., 2007b; Choi et al., 2017; Fraser et al., 2011). Manuring can produce significant increases in crop δ15N values. Experimental field studies in temperate Europe and the semi-arid Levant demonstrate that cereals grown in the absence of manure exhibit very low δ15N values (below ∼2.5‰), while crops consistently manured over the long-term yield markedly higher δ15N values of ∼6‰ or more (Antolín et al., 2025; Bogaard et al., 2013).
The composition of weed species in archaeobotanical assemblages provides an indirect yet complementary measure of the growing conditions of ancient cereals (Bogaard et al., 2016; Kroll, 1997). Weeding is a labor-intensive cultivation strategy that enhances crop growth by reducing competition for water and soil nutrients. The distribution of weedy taxa in a field that is plowed, seeded, and subsequently left with minimal human intervention differs markedly from that of intensively managed gardens due to differences in soil disturbance that favor annual, fast-growing, disturbance-tolerant taxa in intensively managed plots, and perennial or low-disturbance adapted taxa in more extensively cultivated field (Bogaard, 2002; Charles et al., 1997; Jones et al., 1999).
Materials and methods
We analyzed charred seeds and botanical remains preserved in situ by burning in level 8 (houses 5, 5/a, 6, 7, 8, 9, 10, 11, and 12; Figure 3), excavated under the direction of Nándor Kalicz, who died in 2017. Seed remains were identified and recovered from 33 contexts by the excavators (and presumably bucket-floated off-site at a later time). The material was analyzed by Helmut Kroll in the 1980s and is listed in Table 1 (see also “Samples” in the Supplementary Material and the R code), using the comparative collection at the Institute for Prehistory and Protohistory at the University of Kiel. Helmut Kroll also died in 2024, and the archaeobotanical material is published here for the first time. The seed remains are currently archived at Eötvös Loránd University in Budapest.
Cluster analysis was used to structure archaeobotanical assemblages for crop-specific weed ecological [Functional Interpretation of Botanical Surveys (FIBS)] analysis. Generally, contexts containing ≥60% emmer or barley remains were classified as emmer- or barley-dominated, respectively, while the remainder were designated as mixed. Although this cutoff is somewhat arbitrary, there is precedent for the approach (Filipović et al., 2019). In practice, most contexts at Herpály are heavily skewed, with one taxon dominating, often comprising over 80% of represented taxa (see Results). Wild and weed taxa from emmer- and barley-dominated contexts were therefore assumed to derive primarily from the cultivation of the dominant crop within each household. Although a shared origin cannot be demonstrated with certainty, this approach reduces depositional mixing and allows weeds to be analyzed by both crop type and household.
To evaluate interhousehold variation in stored resources, flotation contexts, each representing distinct localized collection areas from each house structure, were comparatively assessed for taxonomic patterning (i.e., wheat- or barley- dominant) and for species diversity using hierarchical clustering analysis (HCA): the Bray–Curtis dissimilarity method (Bray and Curtis, 1957), followed by visualization using Ward’s (1963) method. All contexts and taxa were included. Flotation contexts of similar taxonomic makeup from a given house (e.g., “wheat” cluster contexts from houses 11/a and 11/b) were combined for interhouse comparison using HCA to compare the relative abundance of the main domestic species. The taxonomic consistency of crop cereal–legume assemblages across hierarchical clusters (i.e., determining whether houses were more or less similar in their taxonomic representation) was assessed by testing the homogeneity of multivariate dispersion among clusters using PERMDISP (Anderson et al., 2006) based on Bray–Curtis dissimilarities assessed from relative abundances of selected taxa (Triticum and Hordeum grains, Pisum, and Lens). The crop processing stage was determined according to crop–chaff–weed ratios and was quantified according to Van der Veen (1992) for 17 assemblages. Each contained more than 400 individual plant part remains, allowing the stage of processing represented by the sample to be determined.
Cereal morphology
Cereal grain morphometrics reflect both genetic background, growing conditions, and environmental factors, including water availability and soil fertility (Araus et al., 2014; Fuller et al., 2017; Motuzaite Matuzeviciute et al., 2021). As a result, changes in seed size have been successfully used to isolate nascent Neolithic experimentation with cultivation, track the subsequent establishment of large-seeded domesticated grains and pulses (Fuller, 2007; Fuller et al., 2017; Liu et al., 2016; Ritchey et al., 2021; Sun et al., 2024; Willcox, 2004), differentiate between cereal species (Colledge, 2001; Reed et al., 2019), and infer cultivation practices linked to variation in water availability and soil fertility regimes (Antolín et al., 2024; Araus et al., 2024; van Bommel et al., 2021). Experimental work demonstrates that barley grains exhibit a non-linear response to increased watering, with later landraces exhibiting greater plasticity under improved moisture conditions than their Near Eastern progenitors (Araus et al. 2024). Although charring impacts grain shape and size, grain length and breadth remain reliable proxies for relative grain weight, even under substantial mass loss from burning (Ferrio et al., 2004; Larsson and Bergman, 2023).
Here, length measurements were used to estimate grain size in terms of volume (Larsson and Bergman 2023). We chose cereal samples based on completeness (for measurements) and degree of burning (for reliable isotopic values). Measurements were taken from 82 out of the 104 grains, including length, breadth, breadth to base, height, and front of shoulder dimensions (Supplementary Material Data Sheet 1, Section 2.1, Figure S2). The mean values and standard deviations of archaeological seeds were compared with those of modern varieties grown in a single season and field to assess whether the archaeological specimens were likely grown in a single plot and within a single season (Larsson and Bergman 2023). Grains were photographed in dorsal and lateral views using a stereomicroscope equipped with a digital camera, and measurements were taken using ImageJ v.1.8.0, an open-source image analysis program (photographs on Zenodo, https://doi.org/10.5281/zenodo.19487993).
Seed selection for stable isotope analysis
Single seeds were selected for isotope analyses to better capture the range of variation in environmental inputs associated with cultivation practices and to assess interhousehold differences in those practices (James et al., 2025). A total of 104 cereal grains were selected from four houses at Herpály (houses 6, 7, 10, and 11). We aimed to select seeds of different taxa for isotope analysis from the same contexts. This was possible for emmer and einkorn, but only once with barley and wheat, as most contexts containing wheat lacked barley, and vice versa. Each grain was visually assessed for degree of burning, and a sample was subjected to attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) to identify exogenous contaminates including carbonates, nitrates, and humic acids that could alter the original isotopic composition of charred seeds (Supplementary Material Data Sheet 1, Section 2.2). ATR-FTIR spectra from the study sites was compared with reference spectra generated by Vaiglova et al. (2014) (Supplementary Material Data Sheet 1, Section 2.2, Figure S3, Supplementary Material Table 1, raw data). Spectra revealed no peaks associated with nitrate, carbonate, or humic acids, and therefore, charred seed specimens were not pretreated before mass spectrometry. No charring offsets were applied to measured isotope ratios, as isotopic effects are minimal (<0.32‰) (Stroud et al., 2023), and cereals from the Herpály assemblage were chosen with similar degrees of charring.
Mass spectrometry
Each grain was cut in half, broken into chunks, and weighed (∼2.5 mg) into tin capsules for stable carbon and nitrogen isotope analysis (Reed, 2024). The samples were then crushed within the tin capsule during folding. Stable carbon and nitrogen isotope ratios were measured using an isoprime visION continuous-flow isotope ratio mass spectrometer coupled with a vario PYRO cube elemental analyzer (Elementar Analysesysteme GmbH, Langenselbold, Germany) at the Archaeology Stable Isotope Laboratory (ASIL), Kiel University. Stable carbon and nitrogen isotope ratios were calibrated against the VPDB (δ13C) and AIR (δ15N) scales using glutamic acid standards USGS40 (δ13C −26.39 ± 0.04‰, δ15N −4.52 ± 0.06‰) and USGS41a (δ13C + 37.63 ± 0.05‰, δ15N + 47.55 ± 0.15‰) (Qi et al., 2003, 2016). Measurement uncertainty was monitored using two internal standards: millet (δ13C −13.75 ± 0.12‰, δ15N + 1.76 ± 0.04‰, n = 74) and wheat (δ13C −27.38 ± 0.08‰, δ15N + 3.01 ± 0.10‰, n = 76). The reported stable isotope ratios for these internal standards represent long-term averages calibrated to VPDB and AIR with USGS40 and USGS41a.
Analytical uncertainty was calculated following Szpak et al. (2017). Precision [u(Rw)] was ±0.09‰ for δ13C and ±0.12‰ for δ15N based on repeated measurements of calibration standards, check standards, and sample replicates (n = 8 pairs). Accuracy [u(bias)] was ±0.12‰ for δ13C and ±0.11‰ for δ15N based on the difference between the observed and known δ values of the check standards and the long-term standard deviations of these check standards. The total analytical uncertainty was ± 0.14‰ for δ13C and ±0.16 for δ15N. All measurements with replicates are summarized in Supplementary Material Table 2, and duplicates were averaged using the R script.
Weed ecology
We apply functional weed ecology analysis by comparing the taxonomic composition of the assemblage from Herpály with that of modern fields subjected to different cultivation regimes. Environmental inputs that define cultivation regimes, such as watering and soil disturbance, can be inferred from measurable functional ecological traits of weedy taxa, such as leaf area and maximum canopy height (Bogaard, 2001; Charles et al., 1997). This approach, called FIBS, reconstructs past crop management strategies by comparing the functional trait composition of archaeobotanical weed assemblages with those from modern fields grown under known cultivation conditions. Traits such as maximum canopy height, leaf area, and life cycle (i.e., annual, biennial, perennial) provide insights into soil disturbance, moisture, and competition, ecological variables that are impacted by cultivation intensity and field management practice.
Here, we use plant attributes provided by Stroud et al. (2024) to characterize the Herpály weed assemblage (Supplementary Material Table 3, “Weeds”). Flowering periods of weeds in Hungary were estimated from https://floraveg.eu/taxon/ and https://pfaf.org (Supplementary Material Table 3, “FLOWPER”). Discriminant analysis was then applied to differentiate farming regimes based on functional ecological traits and compared with experimentally grounded models that characterize weed assemblages associated with low-labor, extensive field cultivation and high-labor, intensive garden cultivation (Bogaard et al., 2016). Model 1 compares weeds and their functional traits identified in extensively managed cultivation fields located in Haute Provence, France with those associated with small, intensively managed cereal crop plots in Asturias, Spain (Charles et al., 2002; Jones et al., 1999, 2000). The two agricultural regimes were distinguished by differences in soil fertility and disturbance, identified based on canopy height, canopy diameter, leaf area per node/leaf thickness, mean specific leaf area, and length of the flowering period (Stroud et al, 2024). Model 2 uses Asturias, Provence, Evvia (Greece), and Morocco to distinguish between high- and low-intensity regimes that prioritize fertility rather than disturbance. Traits characterizing Model 2 are the same as those of Model 1, but exclude the length of the flowering period. A summary of the attributes for these models can be found in Supplementary Material Data Sheet 1, Table S1.
Weed ecology was analyzed using the R package WeedEco Model 2 version 1.0.0 (Bogaard et al., 2016, 2018; Stroud et al., 2024). Samples from Herpály containing weed remains were analyzed by house floor (house 10 and 10/a and house 11/a and 11/b) rather than by the entire house for Models 1 and 2. The small number of weed remains in any individual flotation context precluded analyzing by localized context, but the distinct floor assemblages in two houses allowed analysis by floor, increasing the sample number from two (houses 10 and 11) to four. This was done to keep the number of weed species per sub-assemblage at four or more and to prevent erratic results (Stroud et al., 2024).
Interpreting stable isotope values
Inferring the application of manure to soils in ancient societies depends in part on an understanding of the distribution of nitrogen isotopes in the ancient floral biome for a given landscape. Here, we estimate nitrogen isotope ratios for floral growth in landscapes minimally impacted by human management using published nitrogen isotope values for wild herbivores recovered from seven Neolithic sites roughly contemporaneous with Herpály, located within a 100 km radius of the site (Supplementary Material Data Sheet 1, Section 2.4, Table S2) (Styring et al., 2016a, 2024; Vaiglova et al., 2023). Collagen δ13C values of wild herbivores from Herpály averaged −20.6 ± 0.8‰, indicating these animals browsed in open landscapes (Gillis et al., 2020a). Herbivores exhibited nitrogen isotope values averaging 6.1 ± 0.8‰ in δ15N and, after taking into account a trophic level fractionation factor of 3–5‰ (Hedges and Reynard, 2007; Vaiglova et al., 2023), suggests low nitrogen isotope values for vegetation in the Herpály region, approximately 2‰ in δ15N. We further referenced archaeological charred seed δ15N values measured in this study against manuring bands derived from the nitrogen isotope values measured from cereal crop seeds grown under present-day farming regimes; these values are plotted against the natural log of annual rainfall levels (Styring et al., 2017) (see Supplementary Material Data Sheet 1, Section 2.4 for details). The interpolated “threshold” value for “heavy manuring” at Herpály was 8.1 ± 1.0‰.
We corrected for changes in the carbon isotopic composition of atmospheric CO2 (δ13Cair) during the Holocene and calculated Δ13C from δ13Cair and charred seed carbon isotope ratios (δ13Cp) according to Farquhar et al. (1982):δ13Cair was calculated according to a smoothed curve of δ13C in atmospheric CO2 (Ferrio et al., 2005; White et al., 2015), where past levels of δ13Cair were obtained from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network database (https://gml.noaa.gov/aftp/data/trace_gases/co2c13/flask/README_surface_flask_co2c13.html). The mean atmospheric CO2 value for the occupation period is −6.29‰. All charred seed samples were recovered from a tightly constrained chronological horizon.
Δ13C=δ13Cair−δ13Cp(1+δ13Cp1,000)
Many researchers use crop water-status bands described as poorly watered/moderately watered/well-watered, defined by experiments linking watering condition to crop carbon isotope values (Flohr et al., 2011, 2019; Wallace et al., 2013), to interpret Δ13C values. Most of these experimental study locations were carried out in semi-arid environments where water is scarce (e.g., Jordan, Syria, Spain). The wetland environment of the Herpály site suggests that drier cultivation plots were likely rare and more coveted than the wetter ones. We therefore avoid using these common Δ13C thresholds because of the likely different nature of watering in the Herpály context.
Statistical analysis and figures
Maps were produced using ArcMap 10.8 and Adobe Illustrator 2025. Levine's tests and equal-variance tests were performed before parametric and non-parametric analyses, and specific correlation analyses were chosen based on sample size. Statistical analyses and figures were generated using R v4.5.0 software (R Core Team, 2025). The R script is available on Zenodo (https://doi.org/10.5281/zenodo.19487993).
Results
Assemblage and contexts
More than 33,000 carbonized plant remains were identified from 32 out of the 33 flotation contexts selected from layer 8 (summarized in Table 2, described in Supplementary Material Data Sheet 1, Section 3, and by context in Supplementary Material Table 4). Emmer wheat was the most commonly cultivated cereal (T. dicoccum, 48%), followed by barley (H. vulgare, 21%), einkorn (T. monococcum; 10%), peas (P. sativum; 12%), and lentils (L. culinaris; <1%). Wild/weed taxa and fruits and nuts were not well represented (<1%). A small proportion of wheat grains exhibited greater length-to-width ratios than emmer and einkorn and also demonstrated relatively flat or slightly concave ventral sides, a morphological trait associated with Triticum timopheevii (Kohler-Schneider, 2003). It may be that these larger grains bearing distinctive morphologies from Herpály belong to this taxon; however, this assemblage was analyzed in the 1980s before T. timopheevii was recognized within the prehistoric record (Jones et al. 2000). A close morphological reassessment of the grains and chaff is needed to further resolve the taxonomic assignment of the wheats, as the whole assemblage was not assessed for an exact proportion.
Table 2. Summary of archaeobotanical remains per house unit at Herpály.
| House context | 5 | 6/a | 6/b | 7 | 9 | 10 | 10/a | 11/a | 11/b | 12 | Grave 4 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sample | 33 | 5, 6, 18 | 4, 22, 28 | 3, 7, 27, 29 | 2 | 1, 11, 15, 17, 24 | 23 | 8, 9, 12, 13, 14, 30 | 10, 16, 19, 21, 26, 31 | 32 | 25 | |
| Cereals | ||||||||||||
| Triticum dicoccum | Grain | 0 | 946 | 119 | 94 | 137 | 6,250 | 0 | 5,764 | 2,447 | 2 | 0 |
| Triticum dicoccum | Glume base | 0 | 79 | 19 | 1 | 0 | 459 | 0 | 1,687 | 180 | 0 | 0 |
| Triticum monococcum | Grain | 0 | 168 | 15 | 16 | 2 | 768 | 0 | 1,327 | 695 | 0 | 0 |
| Triticum monococcum | Glume base | 0 | 12 | 6 | 0 | 0 | 93 | 0 | 219 | 42 | 0 | 0 |
| Hordeum vulgare var. nudum | Grain | 0 | 0 | 0 | 935 | 0 | 106 | 589 | 6 | 4,832 | 0 | 0 |
| Hordeum vulgare | Rachis | 0 | 0 | 0 | 0 | 0 | 5 | 361 | 0 | 0 | 0 | 0 |
| Triticum aestivum/durum | Grain | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 18 | 0 | 0 | 0 |
| Triticum aestivum | Rachis | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| Cerealia indet. | Grain | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 |
| Pulses | ||||||||||||
| Pisum sativum | Seed | 0 | 0 | 25 | 817 | 0 | 3,252 | 0 | 6 | 4 | 0 | 0 |
| Lens culinaris | Seed | 0 | 0 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Fruits and nuts | ||||||||||||
| Cornus mas | Seed | 1 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 1 |
| Corylus avellana | Seed | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 |
| Fragaria sp. | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Juniperus communis | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Malus sp. | Seed | 0 | 53 | 2 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 |
| Prunus sp., non-spinosa | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
| Prunus spinosa | Seed | 0 | 0 | 0 | 5 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| Sambucus ebulus | Seed | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wild/weed taxa | ||||||||||||
| Alismataceae | Embryo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
| Avena sp. | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 |
| Brassicaceae | Seed | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bromus arvensis | Seed | 0 | 1 | 0 | 0 | 0 | 12 | 3 | 19 | 3 | 0 | 0 |
| Bromus sp. | Seed | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 6 | 0 | 0 | 0 |
| Caryophyllaceae | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 |
| Chenopodium album | Seed | 0 | 3 | 1 | 2 | 0 | 253 | 1 | 18 | 28 | 0 | 0 |
| Consolida regalis | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| Echinochloa crus-galli | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Fallopia convolvulus | Seed | 0 | 0 | 1 | 0 | 0 | 6 | 1 | 4 | 25 | 0 | 0 |
| Galium spurium | Seed | 0 | 0 | 0 | 0 | 2 | 2 | 24 | 7 | 30 | 0 | 0 |
| Lamiaceae | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Lapsana communis | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Lithospermum arvense | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Lolium sp. | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| Lolium temulentum | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Picris hieracioides | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Poaceae | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| Solanum dulcamara | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Solanum nigrum | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| Trifolium sp. | Seed | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Vicia sp. | Seed | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Total | 1 | 1,264 | 196 | 1,870 | 143 | 11,261 | 981 | 9,101 | 8,296 | 13 | 1 |
The relative proportions of all cereal and legume taxa for all flotation contexts are illustrated by house in Supplementary Material Data Sheet 1, Section 3.1, Figure S4. When wheat or barley is present, one of the two dominates the assemblage (Figure 4). Flotation contexts lacking both wheat and barley tend to have more uncommon species such as cornelian cherry or pulses. HCA indicates that flotation contexts from different houses can be classified into three distinct types: a wheat group (cluster 2), a barley group (cluster 3), and an “other” group, which generally contains few or uncommon taxa (cluster 1) (dendrogram in Supplementary Material Data Sheet 1, Section 3.1, Figure S5).

The different clusters are easily recognizable in Figure 4, which excludes flotation contexts with fewer than 100 cereal remains from the filtered dataset (wheat, barley, pea, and lentil). The PERMDISP permutation test (999 permutations) showed no significant difference in dispersion among the clusters [F(2,23) = 1.87, p = 0.185], indicating comparable levels of internal variability across groups. Within Cluster 2 (wheat) a PERMANOVA analysis, which compares group centroids rather than dispersion, was conducted to assess whether macrobotanical assemblages varied significantly between houses. The analysis indicated no significant difference among houses [F(3,11) = 0.77, R2 = 0.173, p = 0.703], suggesting that the variation in taxonomic composition within this cluster is not structured by household. A similar finding holds for cluster 3 [barley: F(2,3) = 0.91, R2 = 0.377, p = 0.467].
Overall, the glume-to-grain ratio at Herpály is low, indicating that most contexts held dehusked and sieved grains with little to no chaff and few weed species (Van der Veen, 1992) (Table 2), strongly suggesting that most grains analyzed here were from storage contexts. The exception is sample 23 from house 10, where the rachis-to-barley-grain ratio is high, indicating a stage of crop processing.
Carbon and nitrogen isotopes
Summary statistics for carbon (δ13C) and nitrogen (δ15N) isotope values measured from charred seeds recovered from houses 6, 7, 10, and 11 are presented in Table 3, along with corresponding biplots shown in Figure 5. Carbon and nitrogen isotope values exhibit a significant positive correlation in emmer wheat, whereas no such relationship is observed in einkorn or barley (emmer: r = 0.38, p = 0.015; einkorn: r = 0.07, p = 0.695, barley, r = −0.17, p = 0.375).
Table 3. Summarized results of the stable isotope analysis on charred grain per house at Berettyóújfalu–Herpály.
| Barley | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| δ13C (‰) | δ15N (‰) | ||||||||
| House | n | Mean | SD | Min. | Max. | Mean | SD | Min. | Max. |
| Einkorn | |||||||||
| δ13C (‰) | δ15N (‰) | ||||||||
| House | n | Mean | SD | Min. | Max. | Mean | SD | Min. | Max. |
| Emmer | |||||||||
| δ13C (‰) | δ15N (‰) | ||||||||
| House | n | Mean | SD | Min. | Max. | Mean | SD | Min. | Max. |
| 6 | 0 | ||||||||
| 7 | 10 | −23.4 | 1.1 | −25.0 | −21.8 | 8.2 | 1.5 | 5.8 | 10.2 |
| 10 | 10 | −23.8 | 0.3 | -24.3 | −23.3 | 7.0 | 1.5 | 5.2 | 10.9 |
| 11 | 10 | −24.2 | 0.7 | -25.5 | −23.2 | 7.9 | 1.0 | 6.5 | 9.6 |
| Mean | −23.8 | 0.7 | -24.9 | −22.8 | 7.7 | 1.3 | 5.8 | 10.2 | |
| 6 | 8 | −22.4 | 0.4 | -22.9 | −21.7 | 8.9 | 0.4 | 8.3 | 9.8 |
| 7 | 6 | −23.6 | 1.6 | -25.9 | −21.9 | 8.9 | 1.3 | 6.9 | 10.1 |
| 10 | 10 | −22.6 | 0.7 | -23.6 | −21.8 | 9.0 | 0.5 | 8.1 | 9.6 |
| 11 | 10 | −23 | 0.3 | -23.6 | −22.6 | 7.9 | 0.7 | 7.0 | 8.8 |
| Mean | −22.9 | 0.8 | -24.0 | −22.0 | 8.7 | 0.7 | 7.6 | 9.6 | |
| 6 | 10 | −21.9 | 0.9 | -23.1 | −20.8 | 8.8 | 0.6 | 8.2 | 10.1 |
| 7 | 10 | −22.8 | 0.5 | -23.9 | −22.0 | 8.7 | 1.3 | 6.6 | 10.7 |
| 10 | 10 | −22.3 | 0.5 | -23.1 | −21.3 | 8.6 | 0.5 | 7.7 | 9.3 |
| 11 | 10 | −23.0 | 0.7 | -24.3 | −21.9 | 6.9 | 0.7 | 5.7 | 8.2 |
| Mean | −22.5 | 0.7 | -23.6 | −21.5 | 8.2 | 0.8 | 7.0 | 9.6 |

For the Herpály charred seed assemblage, barley averaged −23.8 ± 0.7‰ in δ13C and is depleted 1.3‰ and 0.9‰ in 13C relative to emmer and einkorn, respectively, while no carbon isotopic difference was observed between emmer and einkorn wheats (Kruskal–Wallis: χ2 = 33.86, df = 2, p < 0.001; Dunn's post-hoc test, Supplementary Material Data Sheet 1, Section 3.3, Table S3). All taxa exhibited similarly high nitrogen isotope values, averaging between 7.7‰ and 8.7‰ (Table 3), with einkorn yielding significantly higher δ¹⁵N values, on average 1.0‰, compared to barley (Kruskal–Wallis: χ2 = 10.75, df = 2, p = 0.005; Dunn's post-hoc, Supplementary Material Data Sheet 1, Section 3.3, Table S4).
On average, the carbon isotopic composition of emmer wheat varied between houses, whereas einkorn wheat and barley showed more uniform carbon isotope values across houses. Specifically, emmer exhibited differences in a one-way ANOVA (F = 5.57, df = 3, p = 0.003, Tukey’s post-hoc, Supplementary Material Data Sheet 1, Table S5). Emmer wheat grains from houses 7 and 11 were on average depleted 1‰ in 13C compared to those from house 6 (p.adj = 0.019 and 0.005, respectively). Barley showed no significant variation in its carbon isotopic composition across households Kruskal–Wallis test (χ2 = 3.31, df = 2, p = 0.192). Barley from both houses 7 and 11 exhibited a wide range in carbon isotope values (–25.0 to −21.8‰ and −25.5 to −23.2‰, respectively) compared to that from house 10, which exhibited low carbon isotopic variation (Figure 5, Table 3). Einkorn showed a significant Kruskal–Wallis result (χ2 = 8.40, df = 3, p = 0.038); however, Dunn's post-hoc test revealed no significant pairwise differences between houses, indicating that the variation was diffuse rather than concentrated between specific houses (Supplementary Material Data Sheet 1, Supplementary Table S6). Specifically, wide carbon isotopic variation was visible in einkorn grains from house 7 (–25.9‰ to −21.9‰) and, to a lesser extent, house 10 (−23.6‰ to −21.8‰) compared to grains from houses 6 and 11 (−22.9‰ to −21.7‰ and −23.6‰ to −22.6‰, respectively).
Emmer wheat grains from house 11 were significantly depleted 1.8‰ in 15N relative to those from houses 6, 7, and 10, which were similar in their nitrogen isotopic compositions (Kruskal–Wallis χ2 = 17.57, p < 0.001; Dunn's post-hoc all p’s < 0.01, Supplementary Material Data Sheet 1, Table S7). Einkorn wheat grains from house 11 were also significantly depleted 1.1‰ in 15N, compared to those from house 10 (ANOVA, F = 4.92, df = 3, p = 0.017; Z = –2.76, p.adj = 0.035, Tukey's HSD test in Supplementary Material Data Sheet 1, Table S8). Barley grains exhibited similar nitrogen isotopic compositions across households (Kruskal–Wallis, χ2 = 4.55, p = 0.103). Charred cereal grains from house 7 also exhibited high variation in their nitrogen isotopes compared to those from all other houses (Figure 5).
Cereal grain size
Individual metrical data are provided in Supplementary Material Table 5 and summary cereal metric data are provided in Supplementary Material Data Sheet 1, Section 3.4, Table S9. Standard deviations for grain lengths measured for all three cereal taxa at Herpály ranged from 0.4 to 0.6 mm. Length was positively correlated with breadth in all species (emmer = 0.952, einkorn = 0.914, barley = 0.756, all p’s < 0.0001, Supplementary Material Data Sheet 1, Supplementary Table S10), confirming that length is an appropriate proxy for volume. Differences in grain size between houses were observed for einkorn and emmer, but not for barley (Supplementary Material Data Sheet 11, Table S11, Figure S5). Seed length was positively correlated with both δ13C and δ15N values for emmer wheat (δ13C, r = 0.62, p < 0.001; δ15N, r = 0.31, p = 0.080), but not for einkorn wheat or barley (Figure 6).

Weed ecology
Eleven weed species were represented in the Herpály assemblage (n = 444, including Bromus arvensis, Chenopodium album, and Galium spurium, Supplementary Material Table 3, “Weeds”). Each house floor assemblage contains 4–7 weedy taxa (Figure 7). Discriminant function model 1 (Figure 8a) separates low-input and high-input farming regimes based on differences in soil fertility and disturbance, while model 2 (Figure 8b) separates these two regimes only according to soil fertility (Bogaard et al., 2016).


The house 10/a floor assemblage, characterized by a concentration of barley grain and chaff from an early stage of crop processing, falls at the upper boundary of the low-input range in both models (Figure 8). In contrast, wheat-dominated assemblages from house 11/1 lie at the lower end of the high-input range. Meanwhile, the wheat-dominated assemblage from house 10 displays traits consistent with a high-input, high-disturbance regime. These discriminant function values, associated with each house floor, are plotted against mean carbon and nitrogen isotope values for each cereal crop to evaluate the relationship, if any, between cultivation practices that impact soil fertility and disturbance as reflected in the weed ecology and those that modify plant water use and soil nitrogen (Figure 9). Kendall's tau test indicates a significant correlation (T = 0.815, p = 0.032) between δ13C values and the discriminate function values for both models 1 and 2, revealing that low δ13C values are associated with low fertility and low disturbance, while high δ13C values are associated with high fertility and high disturbance. A positive correlation between δ15N values and discriminate function values is also visible, although it is not significant (T = 0.593, p = 0.080).

Discussion
Early Neolithic farmers in central Europe practiced a form of “garden cultivation” characterized by small-scale, highly managed, and permanent cultivation plots placed close to settlements and intensively managed as part of household-level production strategies (Bogaard 2007). On the Great Hungarian Plain at the early Neolithic settlement of Ecsegfalva (5800–5500 BCE, Körös culture), agriculturalists also engaged in labor-intensive garden cultivation focused on emmer and einkorn in disturbed, nutrient-rich soils maintained through manuring (Bogaard et al., 2007a, 2013, 2016). The suite and proportions of crops at Herpály are consistent with those at Middle and Late Neolithic sites in the region (Supplementary Material Data Sheet 1, Section 3.5). Fifteen hundred years after the arrival of the first farmers, however, agro-production on the Great Hungarian Plain began to diverge from some of the labor-intensive agricultural practices they had brought with them.
Intensive manuring across households at Herpály suggests equitable access to dung
Manuring was a centrally important agricultural practice at Herpály, as indicated by generally high nitrogen isotope values averaging ca. 9‰ in both emmer and einkorn wheats in houses 6, 7, and 10. These values fall within or exceed the estimated range for heavy manuring in temperate European environments (Bogaard et al., 2007b; Fraser et al., 2011), implying sustained, labor-intensive inputs of animal dung to arable fields. Such intensive regimes would have required not only sufficient livestock but also the coordinated availability of labor for dung collection, transport, and field application, suggesting that households were not constrained by labor availability in maintaining soil fertility. Furthermore, the relatively low nitrogen isotopic variation among emmer and wheats from these houses points to consistent manuring, with dung evenly spread across cultivated plots. This pattern implies that dung was readily accessible to these households, either sourced from their own animals or obtained through communal pooling.
Although intensive manuring associated with concentrated garden cultivation reminiscent of earlier Neolithic agriculture systems was practiced at Herpály, variation between houses and occasionally large ranges in isotopic values in a given house suggest occasions in which cereals were grown in less productive soils, either due to the amount of manure added in a given year or to the nature of the soil itself. The wide nitrogen isotopic variation among both emmer and einkorn wheats in house 7 (6.6‰ – 10.7‰, and 6.9‰ – 10.1‰, respectively), suggests less intensive and more extensive practices were applied to some plots. House 11 exhibits significantly lower mean nitrogen isotope values in emmer and einkorn than other houses (6.9‰ and 7.9‰, respectively), and the functional weed ecology indicates intermediate labor inputs. It is also possible, however, that some plots were simply located in regions of lower productivity already, such as newer fields established later in the history of the settlement that had not yet accumulated the richness of several generations of manuring. House 10 barley δ15N values average 7.0‰, low by comparison with other houses, and also point toward a burgeoning extensification in some households or fields farther away characterised by less rich topsoils. The degree to which household access to manure shaped extensification decisions remains less explored. It may be that these two households had sufficient labor available but lacked reliable access to the quantities of dung required for intensive garden cultivation; unfortunately, no archaeological traces of dung were recovered. In such cases, extensification may not reflect a deliberate shift toward lower investment strategies, but rather a pragmatic response to constraints on key agricultural inputs. Where dung was scarce or irregularly available, households may have compensated by cultivating large plots with lower per-unit inputs, resulting in greater isotopic heterogeneity and lower mean δ15N values in crops. This would imply that emerging differences in livestock ownership, herding arrangements, or participation in communal manure-sharing networks had tangible downstream effects on crop management strategies, even within an otherwise broadly intensive agricultural regime.
Maslin cropping supported Neolithic households at Herpály
Maslin cropping, the mixed cultivation of cereal species such as wheat, barley, or rye, is an important strategy for ensuring crop stability under pressure from pests, variable rainfall, or fluctuating soil fertility (McAlvay et al., 2022). Einkorn tends to produce slightly higher yields than emmer under poor or marginal conditions, while emmer has slightly higher yield potential under better-than-medium conditions. Maslin cropping exploits interspecific differences in growth traits across crop species and potentially offers yield stability, weed suppression, and disease resistance (Jones and Halstead, 1995; Snyder et al., 2020). The practice, however, also involves tradeoffs that may sacrifice ease of processing and maximum yield in favor of resilience by exploiting interspecific differences in growth traits of each crop species, thereby broadening the responsiveness of crops to fluctuating growing conditions (Jones and Halstead, 1995; Snyder et al., 2020).
The sorting of the archaeobotanical assemblage into emmer-einkorn contexts that exclude barley (with one exception) and barley contexts that exclude wheats provides strong evidence that the wheats were grown together, while the barley was grown separately. Einkorn and emmer, moreover, are consistently found in similar proportions, with emmer dominating (ca. 80%) and einkorn comprising the rest. If the wheats had been grown separately, it is unlikely that they would have appeared in storage contexts in such similar proportions as seen in most of the samples. The weedy taxa associated with barley-rich assemblages are associated with low-disturbance, low-fertility soils, while wheat-dominated assemblages are characterized by taxa associated with higher disturbance and greater fertility (Figure 9).
The close similarity in the carbon isotope values of einkorn and emmer in houses 6, 10, and 11 suggests they were cultivated together under a shared watering regime rather than in spatially or seasonally segregated plots. Comparable patterns of carbon isotopic similarity between einkorn and emmer have been documented at other European Neolithic sites, including Vaihingen an der Enz and Vráble, interpreted as evidence for mixed cropping (Bogaard et al., 2013; Gillis et al., 2020b). At Herpály, einkorn and emmer from these three houses, exhibiting δ13C values averaging between −24.0‰ and −23.5‰, indicate that wheats were well watered. For house 7, the substantially wider variation in einkorn δ13C values relative to emmer, together with the >3‰ range in emmer δ15N values, suggests that emmer and einkorn were not intercropped but instead derived from several different fields or different growing seasons. It is relevant that all wheat isotope values for house 7 come from context 7, dominated by barley, while most of the other contexts sampled from this house are dominated by pulses, fruits, and nuts (Figure 4). As these are the only wheat samples taken from a flotation context not dominated by wheat, we expect that the explanation lies in differences in field location or growing season.
The similarly high nitrogen isotope values for einkorn (δ15Nmean = 8.7 ‰) and emmer (δ15Nmean = 8.2 ‰) observed for the entire Herpály assemblage, as well as a positive (if weak) correlation between nitrogen isotope values and grain size observed in emmer (R = 0.31, p = 0.080), further suggests that these two species were in general mixed and grown together to benefit grain size in emmer, dominated by wheat. Seed length is positively correlated with both δ13C and δ15N values in emmer wheat, but not in einkorn wheat or barley (Figure 6). Experimental work demonstrates that manuring increases grain size in emmer wheat and barley, but not in einkorn, reflecting adaptive responses of einkorn to low nutrient availability (Larsson and Bergman 2023). Einkorn wheat is well adapted to nutrient-poor soils and, while moderate fertilization can positively influence yields and components, very high soil nitrogen levels have less effect on grain yields and may increase water lodging (Maneva et al., 2015). Emmer and einkorn wheats were likely grown together as maslin crops at Herpály as part of a risk reduction strategy. It is unlikely that barley was grown as a maslin alongside both emmer and einkorn. At Herpály, barley Δ13C values are on average 1.0‰ – 1.5 ‰ higher than those seen in emmer and einkorn, suggesting that barley was grown under different water availability conditions (Figure 10). A comparatively higher Δ13C value for barley can be expected due to barley's earlier grain infilling period (Araus et al., 1997; Ferrio et al., 2005). In semiarid environments characterized by spring season rainfall, earlier maturing barley exhibits Δ13C values up to 1‰–2‰ higher than wheats planted at the same time (Wallace et al., 2015). However, in the more temperate environments of the Great Hungarian Plain, where modest spring rainfall is followed by summer rains, later-ripening wheats reasonably could have received similar amounts of rainfall as barley. If so, cultivation plots for barley may have been placed on wetter soils located further away from the settlement (Figure 2). Einkorn and emmer wheat perform best on well-drained to moderately drained soil, as both cultivars are sensitive to prolonged waterlogging, particularly during early growth and tillering (Sundgren et al., 2018). Barley, however, is marginally more resilient to poorly drained and episodic flooding than wheat (de San Celedonio et al., 2014). At Herpály, ideal plots closest to the settlement that received the most frequent labor inputs may have been reserved for wheat, while barley was preferentially grown in low-lying or seasonally wet plots farther from the settlement. The lack of correlation between carbon values and seed length in barley suggests that water availability did not affect seed growth at Herpály (Figure 6), at least during the season in which the recovered assemblage was grown.

Lower nitrogen isotope values distinguishing barley and wheat recovered from house 7 and especially house 10 indicate that barley was less intensively manured than wheat and further corroborates separate cultivation of barley from emmer or einkorn (Figure 11). For house 11, similar barley and einkorn δ15N values, coupled with an ∼1‰ depletion in δ13C in barley relative to einkorn, suggests that maslin cropping cannot be entirely ruled out. The clear sorting of flotation contexts into wheat and barley storage areas makes it unlikely (Figure 4), but ethnographic accounts of sowing, harvesting, and processing maslins together, followed by hand-sorting them for storage, do exist (McAlvay et al. 2022: 5).

Emergent extensive agriculture in early population centers is congruent with long-held intensive cultivation practices
Agricultural management strategies at Herpály were broadly shared across the community, but households also practiced diverse and distinct practices that are suggestive of emerging differences in access to labor and land. In a settlement supporting a large population but situated in a landscape characterized by large areas of standing water for much of the year, households were likely constrained in their land-use options and had to prioritize which plots were cultivated close to the house and which would be located farther away. Households likely had to balance access, labor investment, and risk.
The cultivation practices at Herpály mark a divergence from those found outside the Near East among the first farmers in Europe (Bogaard, 2005). Weed assemblages from LBK contexts in Germany and EN contexts in Hungary consistently cluster at the high-intensity end of the investment spectrum, with only minor deviations toward lower-intensity regimes indicated in FIBS analyses (Bogaard et al., 2016: 70). In contrast, although manuring levels remained high at Herpály, its weed assemblages indicate a pronounced decline in labor investment allocated to weeding compared to Europe's Early Neolithic systems.
The divergence in weed assemblages between barley-dominated and wheat-dominated assemblages indicates that, even at the scale of individual households, crop cultivation was spatially differentiated and managed with different levels of labor investment. Emmer-rich contexts are routinely associated with high-intensity weeding practices, while barley-rich contexts are usually associated with lower-intensity weeding. Ethnographic documentation of smallholder families in Greece and Spain using a labor-intensive, high-yield strategy indicates that 90% of all cultivation takes place within 500 m of the settlement (Charles et al., 2002; Jones, 2005; Jones et al., 1999), while smallholder farmers using traction animals in these same environments do not visit cultivation plots for manuring and regular weeding, but will travel up to 4 km to their plots (Charles et al., 2002; Jones et al., 1999). As Late Neolithic settlements in the Carpathian Basin grew in size, residents likely had to travel further to reach their fields. Barley, the heartier crop, was planted farther away, with less oversight, and, according to carbon isotope values, possibly under wetter conditions.
Expanding agricultural production and European inequality
There is a strong potential for inequalities to develop between households farming fixed inherited plots, as well as differences in access to land or manure (Halstead, 1989). The massive increase in the size of some Neolithic settlements in the Carpathian Basin in the fifth millennium BC is well documented (Duffy et al. 2025), and in a wetland environment such as the Nagy Sárrét, dry land would have been a scarce resource (Duffy 2014). The results presented here provide a unique picture of household variability, indicating that although villagers at Herpály were coping with expanding settlement sizes, some may have been doing better than others. Caring for cattle requires reliable access to productive pastures and a reliable labor pool for their upkeep, and villagers with more animals than others were in a better position to manure their fields and ensure successful harvests.
This household variation at Herpály shows that the community had planted the seeds of differential access to resources, perhaps comparable to the differentiation in food storage demonstrated at the 20-ha site of Vinča Belro-Brdo 300 km to the south (Filipović et al. 2023). Vinča shows evidence of house size variability, incipient craft specialization, and prestige objects and long-distance trade (Borić, 2009; Chapman and Souvatzi, 2020; Tasić et al., 2015). Vinča's occupation ended with the intentional burning of structures containing abundant fruit and seed storage at ca. 4550–4525 BCE, at the time of, or just a little after, the burning of structures at Herpály (Filipović et al. 2023). Vinča, the researchers argue, may have succumbed to weakening of communal ties in the face of emergent socioeconomic differentiation. Unlike Vinča, however, occupation at Herpály carried on for another occupation level, perhaps 50–75 years [4579–4442 BCE (68.2%)] (Raczky et al. 2020: 436). The similarity of crop storage types (wheat/barley), the proportion of preserved taxa, and overall low levels of stored fruit indicate that the household variation in land use at Herpály did not translate into broader inequalities, which may be related to their ability to last through the social transformations at the end of the Neolithic for another generation.
Conclusion
By the mid-fifth millennium BC, agricultural production at Herpály indicates that the transition from intensive garden cultivation characteristic of earlier Neolithic settlements to later extensive field-based systems had begun. The continued use of intensive manuring for emmer and einkorn, but more limited weeding—indicated by the middle to low input labor in the weed assemblages at Herpály—suggests a shift away from labor-intensive practices. At the same time, crops appear to have been cultivated under differing watering conditions, with wheats typically cultivated under higher-input regimes and barley more often in lower-input regimes, perhaps in more distant or less frequently tended fields. This strategy favored labor input in emmer but mitigated the potential loss of emmer in dry years by using einkorn and barley, which were less sensitive to extremes in water availability, waterlogging, and lower levels of fertilizer inputs if they were not available.
Crucially, the absence of large-scale agricultural extensification at Herpály, despite large settlement size and constrained land availability, contrasts with subtle but consistent differences in cultivation practices between houses, indicating household-level differences in their access to manure, land, or labor. Such differences may reflect emerging inequalities in access to agricultural resources at a moment when settlement size and population density were placing new pressures on land management. Yet, unlike contemporaneous Vinča settlements, where socioeconomic differentiation between houses may have threatened the social order (Filipović et al., 2023), the distribution and ratios of stored crops at Herpály remained equivalent across houses, perhaps contributing to the settlement's continuity beyond the horizon of ritual burning of the houses.
When situated within the longer regional trajectory, Herpály becomes a crucial datapoint in understanding how inequalities flickered rather than escalated in the Carpathian Basin. Over five millennia, neither house-size inequality nor mortuary wealth indicators showed sustained upward trends, and episodes of heightened disparity were typically short-lived (Duffy et al., 2025). The potential for inequality increased with agricultural intensification and later traction technology but was frequently countered by leveling mechanisms—mobility, community fission, collective labor projects, and perhaps the routine dissipation of surplus through ritual or monumental investment (Feinman and Neitzel, 2023; Johnson, 1982; Miller, 2021). Continuity in cereal storage and the lack of marked disparities in what and how people grew food align with such dynamics: cooperation remained resilient, even as household practices diversified. Thus, rather than representing the onset of extensified, extra surplus-generating agriculture, Herpály exemplifies how dense Neolithic farming communities accepted marginal differences in access to labor, plots, or manure and negotiated resource pressures while experimenting with flexible, risk-buffering cultivation strategies that varied across households and fields, without committing to runaway inequality.
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Footnotes
Edited by: Richard Madgwick, Cardiff University, United Kingdom
Reviewed by: Melissa M. Ritchey, Washington University in St. Louis, United States
Magdalena Blanz, University of Vienna, Austria
Statements
- Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author CM declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
- Funding
The author(s) declared that financial support was received for this work and/or its publication. The study was funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany's Excellence Strategy – EXC 2150 – 390870439. We also thank the Institute of Archaeology of the Hungarian National Academy of Sciences for financing the original excavation between 1977 and 1982.
- Data availability
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
PD: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. KR: Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing – review & editing, Writing – original draft. PR: Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Visualization, Writing – review & editing. NK: Conceptualization, Data curation, Funding acquisition, Resources, Supervision, Writing – review & editing, Investigation. HK: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. CM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing, Writing – original draft.
- Acknowledgements
We thank Christine Winter-Schuh at ASIL for conducting mass spectrometry and Laszló Bartosiewicz and our two reviewers for their detailed and thoughtful comments. We dedicate this article to the memory of Nándor Kalicz and Helmut Kroll.
References
- Anderson M. J., Ellingsen K. E., McArdle B. H. (2006). Multivariate dispersion as a measure of beta diversity. Ecol. Lett. 9, 683 – 693. doi:10.1111/j.1461-0248.2006.00926.x
- Antolín F., Jacomet S., Soteras R., Gerling C., Bernasconi S. M., Follmann F. (2024). An archaeobotanical and stable isotope approach to changing agricultural practices in the NW Mediterranean region around 4000 BC. Holocene. 34, 239 – 254. doi:10.1177/09596836231211848
- Antolín F., Salvador-Baiges G., Gerling C., Soteras R., Martínez-Grau H., Pratdesaba A. (2025). Manured or not manured? New baselines for re-interpreting cereal C and N stable isotope data from Neolithic sites in the NW Mediterranean. J. Archaeol. Sci. Rep. 68, 105470. doi:10.1016/j.jasrep.2025.105470
- Araus J. L., Febrero A., Buxó R., Rodríguez-Ariza M. O., Molina F., Camalich M. D. (1997). Identification of ancient irrigation practices based on the carbon isotope discrimination of plant seeds: a case study from the south-east Iberian Peninsula. J. Archaeol. Sci. 24, 729 – 740. doi:10.1006/jasc.1997.0154
- Araus J. L., Ferrio J. P., Voltas J., Aguilera M., Buxó R. (2014). Agronomic conditions and crop evolution in ancient near east agriculture. Nat. Commun. 5, 3953. doi:10.1038/ncomms4953
- Araus J. L., Gascón M., Ros-Sabé E., Piqué R., Rezzouk F. Z., Aguilera M. (2024). Isotope and morphometrical evidence reveals the technological package associated with agriculture adoption in western Europe. Proc. Natl. Acad. Sci. USA 121, e2401065121. doi:10.1073/pnas.2401065121
- Bihari Z., Babolcsai G., Bartholy J., Ferenczi Z., Gerhátné Kerényi J., Haszpra L. (2018). “ Climate,” in National Atlas of Hungary—Natural Environment, ed. Károly K. (Budapest: MTA CSFK, Geographical Institute). Available online at: (Accessed November 21, 2025).
- Bogaard A. (2001). On the archaeobotanial inference of crop sowing time using the FIBS method. J. Archaeol. Sci. 28, 1171 – 1183. doi:10.1006/jasc.2000.0621
- Bogaard A. (2002). Questioning the relevance of shifting cultivation to Neolithic farming in the loess belt of Europe: evidence from the Hambach forest experiment. Veg. Hist. Archaeobotany. 11, 155 – 168. doi:10.1007/s003340200017
- Bogaard A. (2004). Neolithic Farming in Central Europe: An Archaeobotanical Study of Crop Husbandry Practices, c.5500-2200 bc. London and New York, NY: Routledge.
- Bogaard A. (2005). “Garden agriculture” and the nature of early farming in Europe and the near east. World. Archaeol. 37, 177 – 196. doi:10.1080/00438240500094572
- Bogaard A., Bending J., Jones G. (2007a). “ Archaeobotanical evidence for plant husbandry and use,” in The Early Neolithic on the Great Hungarian Plain. Investigations of the Körös Culture Site of Ecsegfalva 23, County Békés, ed. Whittle A. (Budapest: Archaeological Institute of the Hungarian Academy of Sciences)), 421 – 446.
- Bogaard A., Fochesato M., Bowles S. (2019). The farming-inequality nexus: new insights from ancient western Eurasia. Antiquity. 93, 1129 – 1143. doi:10.15184/aqy.2019.105
- Bogaard A., Fraser R., Heaton T. H. E., Wallace M., Vaiglova P., Charles M. (2013). Crop manuring and intensive land management by Europe’s first farmers. Proc. Natl. Acad. Sci. USA 110, 12589 – 12594. doi:10.1073/pnas.1305918110
- Bogaard A., Heaton T. H. E., Poulton P., Merbach I. (2007b). The impact of manuring on nitrogen isotope ratios in cereals: archaeological implications for reconstruction of diet and crop management practices. J. Archaeol. Sci. 34, 335 – 343. doi:10.1016/j.jas.2006.04.009
- Bogaard A., Hodgson J., Nitsch E., Jones G., Styring A., Diffey C. (2016). Combining functional weed ecology and crop stable isotope ratios to identify cultivation intensity: a comparison of cereal production regimes in Haute Provence, France and Asturias, Spain. Veg. Hist. Archaeobotany. 25, 57 – 73. doi:10.1007/s00334-015-0524-0
- Bogaard A., Styring A., Ater M., Hmimsa Y., Green L., Stroud E. (2018). From traditional farming in Morocco to early urban agroecology in northern Mesopotamia: combining present-day arable weed surveys and crop isotope analysis to reconstruct past agrosystems in (semi-)arid regions. Environ. Archaeol. 23, 303 – 322. doi:10.1080/14614103.2016.1261217
- Bogaard A., Hodgson J., Kropp C., McKerracher M., Stroud E. (2022). “ Lessons from Laxton, Highgrove and Lorsch: Building Arable Weed-Based Models for the Investigation of Early Medieval Agriculture in England,” in New Perspectives on the Medieval ‘Agricultural Revolution,’ Crop, Stock and Furrow, eds. McKerracher M., Hamerow H. (Liverpool University Press), 25 – 40.
- Borić D. (2009). “ Absolute dating of metallurgical innovations in the Vinča culture of the Balkans,” in Metals and Societies: Studies in Honour of Barbara S. Ottaway, eds. Kienlin T. L., Roberts B. (Bonn: Habelt, Universitatsforschungen zur prahistorischen Archaeologie), 191 – 245.
- Bökönyi S. (1986). Environmental and cultural effects on the faunal assemblages of four large 4th mill. B.C. sites. Szekszárdi Béri Balogh Ádám Múz. Évkönyve. 13, 69 – 88.
- Bray J. R., Curtis J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr. 27, 325 – 349. doi:10.2307/1942268
- Chapman J. (1999). Deliberate house-burning in the prehistory of central and eastern Europe. Glyfer Och. Arkeol. Rum En Vänbok Till Jarl Nord. 113 – 126.
- Chapman J., Souvatzi S. (2020). The Neolithic of southeast Europe: recent trends. Annu. Rev. Anthropol. 49, 123 – 140. doi:10.1146/annurev-anthro-120219-014908
- Charles M., Jones G., Hodgson J. G. (1997). FIBS in archaeobotany: functional interpretation of weed floras in relation to husbandry practices. J. Archaeol. Sci. 24, 1151 – 1161. doi:10.1006/jasc.1997.0194
- Charles M. P., Bogaard A., Jones G., Hodgson J. G., Halstead P. (2002). Towards the archaeological identification of intensive cereal cultivation: present-day ecological investigation in the mountains of Asturias, northwest Spain. Veg. Hist. Archaeobotany. 11, 133 – 142. doi:10.1007/s003340200015
- Choi W.-J., Kwak J.-H., Lim S.-S., Park H.-J., Chang S. X., Lee S.-M. (2017). Synthetic fertilizer and livestock manure differently affect δ 15N in the agricultural landscape: a review. Agric. Ecosyst. Environ. 237, 1 – 15. doi:10.1016/j.agee.2016.12.020
- Colledge S. (2001). Plant Exploitation on Epipalaeolithic and Early Neolithic Sites in the Levant. Oxford: Hedges, British Archaeological Reports.
- de San Celedonio R. P., Abeledo L. G., Miralles D. J. (2014). Identifying the critical period for waterlogging on yield and its components in wheat and barley. Plant Soil. 378, 265 – 277. doi:10.1007/s11104-014-2028-6
- Duffy P. R. (2014). Complexity and Autonomy in Bronze Age Europe: Assessing Cultural Developments in Eastern Hungary. Budapest: Archaeolingua.
- Duffy P. R., Marton T., Borić D. (2022). Locating Mesolithic Hunter–Gatherer camps in the Carpathian basin. J. Archaeol. Method Theory. 30, 636 – 677. doi:10.1007/s10816-022-09570-w
- Duffy P. R., Wilkes F., Skorna H., Furholt M., Dickie C., Furholt K. (2025). Five thousand years of inequality in the Carpathian basin. Sci. Adv. 11, eadu0323. doi:10.1126/sciadv.adu0323
- Fan R., Morozumi T., Maximov T. C., Sugimoto A. (2018). Effect of floods on the δ 13C values in plant leaves: a study of willows in northeastern Siberia. PeerJ. 6, e5374. doi:10.7717/peerj.5374
- Farquhar G. D., O’Leary M. H., Berry J. A. (1982). On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Funct. Plant Biol. 9, 121 – 137. doi:10.1071/PP9820121
- Feinman G. M., Neitzel J. E. (2023). The social dynamics of settling down. J. Anthropol. Archaeol. 69, 101468. doi:10.1016/j.jaa.2022.101468
- Ferrio J. P., Alonso N., Voltas J., Araus J. L. (2004). Estimating grain weight in archaeological cereal crops: a quantitative approach for comparison with current conditions. J. Archaeol. Sci. 31, 1635 – 1642. doi:10.1016/j.jas.2004.04.006
- Ferrio J. P., Araus J. L., Buxó R., Voltas J., Bort J. (2005). Water management practices and climate in ancient agriculture: inferences from the stable isotope composition of archaeobotanical remains. Veg. Hist. Archaeobotany. 14, 510 – 517. doi:10.1007/s00334-005-0062-2
- Filipović D., Brozio J. P., Ditchfield P., Klooß S., Müller J., Kirleis W. (2019). Middle-Neolithic agricultural practices in the Oldenburger Graben wetlands, northern Germany: first results of the analysis of arable weeds and stable isotopes. Holocene. 29, 1587 – 1595. doi:10.1177/0959683619857224
- Filipović D., Marić M., Tasić N. (2023). High heat on the tell: an archaeobotanical view on house burning and socio-economic relationships at the Neolithic Vinča site (SE Europe). Starinar. 73, 7 – 26. doi:10.2298/STA2373007F
- Flohr P., Jenkins E., Williams H. R. S., Jamjoum K., Nuimat S., Müldner G. (2019). What can crop stable isotopes ever do for us? An experimental perspective on using cereal carbon stable isotope values for reconstructing water availability in semi-arid and arid environments. Veg. Hist. Archaeobotany. 28, 497 – 512. doi:10.1007/s00334-018-0708-5
- Flohr P., Müldner G., Jenkins E. (2011). Carbon stable isotope analysis of cereal remains as a way to reconstruct water availability: preliminary results. Water Hist. 3, 121 – 144. doi:10.1007/s12685-011-0036-5
- Fraser R. A., Bogaard A., Heaton T., Charles M., Jones G., Christensen B. T. (2011). Manuring and stable nitrogen isotope ratios in cereals and pulses: towards a new archaeobotanical approach to the inference of land use and dietary practices. J. Archaeol. Sci. 38, 2790 – 2804. doi:10.1016/j.jas.2011.06.024
- Frolking T. (2021). “ Holocene hydrology, soil development and landscape evolution of the Bikeri Vésztő-Mágor area in the Körös basin of eastern Hungary,” in Bikeri: Two Early Copper Age Settlements on the Great Hungarian Plain, eds. Parkinson W. A., Gyucha A., Yerkes R. W. (Los Angeles: The Cotsen Institute of Archaeology Press), 19 – 41.
- Fuller D., Colledge S., Murphy C., Stevens C. (2017). “ Sizing up cereal variation: patterns in grain evolution revealed in chronological and geographical comparisons,” in Miscelánea en Homenaje a Lydia Zapata Peña (1965-2015), eds. Eraso J. F., Mujika Alustiza J. A., Arrizibalaga Valbuena Á., García Díez M. (Bilbao: Universidad Del País Vasco), 131 – 149.
- Fuller D. Q. (2007). Contrasting patterns in crop domestication and domestication rates: recent archaeobotanical insights from the old world. Ann. Bot. 100, 903 – 924. doi:10.1093/aob/mcm048
- Füzes M. (1990). A földmívelés kezdeti szakaszának (neolitikum és rézkor) növényleletei Magyarországon. Tapolcai Városi Múz. Közleményei Tapolca. 1, 139 – 238.
- Gaastra J. S., Greenfield H. J., Linden M. V. (2018). Gaining traction on cattle exploitation: zooarchaeological evidence from the Neolithic western Balkans. Antiquity. 92, 1462 – 1477. doi:10.15184/aqy.2018.178
- Gheorghiu D. (2009). Built to be burnt: the building and combustion of chalcolithic dwellings in the lower Danube and the eastern Carpathian areas. Circwnpont. Prehist. W. Eurasian Stud. Mem. Eugen Comşa. 55 – 68.
- Gillis R. E., Bulatović J., Penezić K., Spasić M., Tasić N. N., Makarewicz C. A. (2020a). “ Herding and hunting at Vinča—Belo Brdo and stubline during the late Neolithic, a stable isotopic perspective,” in Animal Husbandry and Hunting, eds. Gillis R., Makarewicz C. A. (Archaeopress), 19 – 39.
- Gillis R. E., Eckelmann R., Filipović D., Müller-Scheeßel N., Cheben I., Furholt M. (2020b). Stable isotopic insights into crop cultivation, animal husbandry, and land use at the Linearbandkeramik site of Vráble-Veľké Lehemby (Slovakia). Archaeol. Anthropol. Sci. 12, 256. doi:10.1007/s12520-020-01210-2
- Gyucha A., Duffy P. R., Frolking T. (2011). The körös basin from the Neolithic to the Hapsburgs: linking settlement distributions with pre-regulation hydrology through multiple data set overlay. Geoarchaeology. 26, 293 – 419. doi:10.1002/gea.20350
- Gyucha A., Parkinson W. A., Yerkes R. W. (2019). The evolution of a Neolithic tell on the great Hungarian plain: site formation and use at Szeghalom-Kovácshalom. J. Field Archaeol. 44, 458 – 479. doi:10.1080/00934690.2019.1655385
- Gyulai F. (2010a). “ Archaeobotanical research at the Lörös culture site Ibrány-Nagyerdő and its relationship to plant remains from contemporaneous sites in Hungary,” in Neolithization of the Carpathian Basin: Northernmost Distribution of the Starčevo/Körös Culture, eds. Kozłowski K. J., Raczky P. (Budapest: Polska Akademia Umiejętności; Institute of Archaeological Sciences, Eötvös Loránd University), 219 – 237.
- Gyulai F. (2010b). Archaeobotany in Hungary. Budapest: Archaeolingua.
- Gyulai F. (2012). “ The archaeobotanical characterization of the Körös culture,” in The First Neolithic Sites in Central/South-East European Transect. Volume III: The Körös Culture in Eastern Hungary, eds. Anders A., Siklósi Z. (Oxford: BAR Publishing). 223 – 230.
- Halstead P. (1989). “ The economy has a normal surplus: economic stability and social change among early farming communities of Thessaly, Greece,” in Bad Year Economics: Cultural Responses to Risk and Uncertainty, eds. Halstead P., O’Shea J. (Cambridge: Cambridge University Press), 68 – 80.
- Halstead P. (1995). Plough and power: the economic and social significance of cultivation with the Oxdrawn Ard in the Mediterranean. Bull. Sumer. Agric. 8, 11 – 22.
- Halstead P. (2014). Two Oxen Ahead: Pre-Mechanized Farming in the Mediterranean. Hoboken, NJ: Wiley-Blackwell.
- Hartyányi B. P., Nováki G. (1974). Növényi mag- és termésleletek Magyarországon az újkőkortól a XVIII. Századig II. Magy. Mezőgazdasági Múz. Közleményei. 1973–1974, 23 – 73.
- Hartyányi B. P., Nováki G., Patay Á (1968). Növényi mag-és termésleletek Magyarországon az újkőkörtől a XVIII. Századig. Magy. Mezőgazdasági Múz. Közleményei. 1967–1968, 5 – 85.
- Hartyányi B. P., Sz. Máthé M. (1980). A Berettyóújfalu-Szihalom-i későneolitikus lakótelep 1976-ban feltárt növényleletei—archaeobotanical remains from Berettyóújfalu-Szihalom late Neolithic settlement. Magy. Mezőgazdasági Múz. Közleményei. 125 – 145.
- Hayden B., Cannon A. (1982). The corporate group as an archaeological unit. J. Anthropol. Archaeol. 1, 132 – 158. doi:10.1016/0278-4165(82)90018-6
- Hedges R. E. M., Reynard L. M. (2007). Nitrogen isotopes and the trophic level of humans in archaeology. J. Archaeol. Sci. 34, 1240 – 1251. doi:10.1016/j.jas.2006.10.015
- HIRHMA (1938). Map of Indundated Area of the Carpathian Basin Prior to the Flood Control Works, Scale =1:600,000. Budapest: Hydrographic Institute of the Royal Hungarian Ministry of Agriculture.
- Hofmann R., Medović A., Furholt M., Medović I., Pešterac T. S., Dreibrodt S. (2019). Late Neolithic multicomponent sites of the Tisza region and the emergence of centripetal settlement layouts. Praehistorische Z. 94, 351 – 378. doi:10.1515/pz-2019-0003
- Högberg P. (1997). Tansley review No. 95 15N natural abundance in soil-plant systems. New Phytol. 137, 179 – 203. doi:10.1046/j.1469-8137.1997.00808.x
- James N., Winter-Schuh C., Kenoyer J. M., D’Alpoim Guedes J., Makarewicz C. A. (2025). Differences in the isotopic composition of individual grains and aggregated seed samples affect interpretation of ancient plant cultivation practices. Front. Environ. Archaeol. 4, 1510394. doi:10.3389/fearc.2025.1510394
- Johnson G. A. (1982). “ Organizational structure and scalar stress,” in Theory and Explanation in Archaeology: The Southampton Conference, eds. Renfrew C., Rowlands M. J., Segraves B. A. (New York, NY: Academic Press), 87 – 112.
- Jones G. (2005). Garden cultivation of stable crops and its implications for settlement location and continuity. World. Archaeol. 37, 164 – 176. doi:10.1080/00438240500094564
- Jones G., Bogaard A., Charles M. P., Hodgson J. G. (2000). Distinguishing the effects of agricultural practices relating to fertility and disturbance: a functional ecological approach in archaeobotany. J. Archaeol. Sci 27, 1073 – 1084. doi:10.1006/jasc.1999.0543
- Jones G., Bogaard A., Halstead P., Charles M. P., Smith H. (1999). Identifying the intensity of crop husbandry practices on the basis of weed floras. Annu. Br. Sch. Athens. 94, 167 – 189. doi:10.1017/S0068245400000563
- Jones G., Halstead P. (1995). Maslins, mixtures and monocrops: on the interpretation of archaeobotanical crop samples of heterogeneous composition. J. Archaeol. Sci. 22, 103 – 114. doi:10.1016/S0305-4403(95)80168-5
- Jones P. J., O’Connell T. C., Jones M. K., Singh R. N., Petrie C. A. (2021). Crop water status from plant stable carbon isotope values: a test case for monsoonal climates. Holocene. 31, 993 – 1004. doi:10.1177/0959683621994649
- Kalicz N. (2001). “ Zusammenhänge zwischen dem Siedlungswesen und der Bevölkerungszahl während des Spätneolithikums in Ungarn,” in Mensch und Umwelt Während des Neolithikums und der Frühbronzezeit in Mitteleuropa: Ergebnisse Interdisciplinärer Zusammenarbeit Zwischen Archäologie, Klimatologie, Biologie und Medizin, eds. Lippert A., Schultz M., Shennan S., Teschler-Nicola M. (Rahden: Verlag Marie Leidorb GmbH)), 153 – 164.
- Kalicz N., Raczky P. (1984). Preliminary report on the 1977–1982 excavations at the Neolithic and bronze age tell settlement of Berettyóújfalu-Herpály, part I. Acta Archaeol. Acad. Sci. Hung. 36, 85 – 136.
- Kalicz N., Raczky P. (1987). “ The late Neolithic of the Tisza region: a survey of recent archaeological research,” in The Late Neolithic of the Tisza Region: A Survey of Recent Excavations and Their Findings, eds. Tálas L., Raczky P. (Budapest: Szolnok County Museums), 11 – 30.
- Kalicz N., Raczky P., Anders A., Kovács K. (2011). Preserved by Ancestral Fires. Budapest: Pytheas Printing House.
- Kamjan S., Erdil P., Hummel E., Çilingiroğlu Ç, Çakırlar C. (2022). Traction in Neolithic Çatalhöyük? Palaeopathological analysis of cattle and aurochs remains from the east and west mounds. J. Anthropol. Archaeol. 66, 101412. doi:10.1016/j.jaa.2022.101412
- Kiss T., Hernesz P., Sümeghy B., Györgyövics K., Sipos G. (2015). The evolution of the Great Hungarian Plain fluvial system—fluvial processes in a subsiding area from the beginning of the Weichselian. Quat. Int. 388, 142 – 155. doi:10.1016/j.quaint.2014.05.050
- Kohler T. A., Smith M. E., Bogaard A., Feinman G. M., Peterson C. E., Betzenhauser A. (2017). Greater post-Neolithic wealth disparities in Eurasia than in North America and Mesoamerica. Nature. 551, 619 – 622. doi:10.1038/nature24646
- Kohler-Schneider M. (2003). Contents of a storage pit from late bronze age stillfried, Austria: another record of the “new” glume wheat. Veg. Hist. Archaeobotany. 12, 105 – 111. doi:10.1007/s00334-003-0010-y
- Kroll H. (1997). Zur eisenzeitlichen Wintergetreide-Unkrautflora von Mitteleuropa. Mit Analysenbeispielen archäologischer pflanzlicher Großreste aus Feudvar in der Vojvodina, aus Greding in Bayern und aus Dudelange in Luxemburg. Praehistorische Z. 72, 106 – 114. doi:10.1515/prhz.1997.72.1.106
- Larsson M., Bergman J. (2023). Experimental approach to evaluate the effect of growing conditions on cereal grain size and its relevance for interpreting archaeological cereal grain assemblages. J. Archaeol. Sci. 152, 105752. doi:10.1016/j.jas.2023.105752
- Liu X., Lister D. L., Zhao Z., Staff R. A., Jones P. J., Zhou L. (2016). The virtues of small grain size: potential pathways to a distinguishing feature of Asian wheats. Quat. Int. 426, 107 – 119. doi:10.1016/j.quaint.2016.02.059
- Lóczy D. (1988). “ Cultural landscape histories in Hungary—two case studies,” in The Cultural Landscape: Past, Present and Future, eds. Birks H. H., Birks H. J. B., Kaland P. E., Moe D. (London: Cambridge University Press), 165 – 176.
- Magyari E. K., Raczky P., Merkl M., Pálfi I., Darabos G., Hajnalova M. (2024). Review on vegetation, landscape and climate changes in the Carpathian basin during the Neolithic and chalcolithic period. Veg. Hist. Archaeobotany. 33, 769 – 794. doi:10.1007/s00334-024-00986-w
- Maneva V., Atanasova D., Nedelcheva T., Stoyanova M., Stoyanova V., 2015. Influence of sowing and fertilization rates on the yield and plant health of einkorn wheat (Triticum Monococcum L.). Agric. Sci. Technol. 7, 460 – 663.
- Marić M., Roberts B., Radivojević M. (2021). “ Chapter 10: Belovode: excavation results,” in The Rise of Metallurgy in Eurasia: Evolution, Organisation and Consumption of Early Metal in the Balkans, eds. Radivojević M., Roberts B., Marić M., Kuzmanović Cvetković J., Rehren T. (Oxford: Archaeopress), 108 – 122.
- McAlvay A. C., DiPaola A., D’Andrea A. C., Ruelle M. L., Mosulishvili M., Halstead P. (2022). Cereal species mixtures: an ancient practice with potential for climate resilience. A review. Agron. Sustain. Dev. 42, 100. doi:10.1007/s13593-022-00832-1
- McPherron A., Srejović D. (1988). Divostin and the Neolithic of Central Serbia: Divostin I Neolit Centralne Srbije. Pittsburgh: Department of Anthropology, University of Pittsburgh.
- Miller G. L. (2021). Ritual, labor mobilization, and monumental construction in small-scale societies: the case of Adena and Hopewell in the middle Ohio river valley. Curr. Anthropol. 62, 164 – 197. doi:10.1086/713764
- Moskal-del Hoyo M., Lityńska-Zając M. (2016). Plant remains from the late Neolithic settlement of Polgár-Bosnyákdomb. Folia Quat. 84, 85 – 98. doi:10.4467/21995923FQ.16.003.5994
- Moskal-del Hoyo M., Lityńska-Zając M., Raczky P., Anders A., Magyari E. K. (2018). The character of the Atlantic oak woods of the Great Hungarian Plain. Anthracol. Loc. Glob. Sig. Charcoal Sci. III. 463, 337 – 351. doi:10.1016/j.quaint.2017.02.029
- Motuzaite Matuzeviciute G., Mir-Makhamad B., Spengler R. N. (2021). Interpreting diachronic size variation in prehistoric central Asian cereal grains. Front. Ecol. Evol. 9, 633634. doi:10.3389/fevo.2021.633634
- Nagy E. G., Kaczanowska M., Kozłowski J. K., Moskal-del Hoyo M., Lityńska-Zając M. (2014). Evolution and environment of the eastern linear pottery culture: a case study of the site of Polgár-Piócási-Dűlő. Acta Archaeol. Acad. Sci. Hung. 65, 217 – 283. doi:10.1556/AArch.65.2014.2.2
- Osztás A., Bánffy E., Zalai-Gaál I., Oross K., Marton T., Somogyi K. (2016). Alsónyék-Bátaszék: introduction to a major Neolithic settlement complex in south-east Transdanubia, Hungary. Ber. Röm.-Ger. Komm. 94, 7 – 21. doi:10.11588/berrgk.1938.0.37149
- Plásztán J. Z., Jánószky M., Mcintosh R. W., Tóth C. (2017). Studying environmental load in the river bed sediments of Berettyó river at Berettyóújfalu. E. Hungary. 12, 301 – 310.
- Qi H., Coplen T. B., Geilmann H., Brand W. A., Böhlke J. K. (2003). Two new organic reference materials for δ 13C and δ 15N measurements and a new value for the δ 13C of NBS 22 oil. Rapid Commun. Mass Spectrom. 17, 2483 – 2487. doi:10.1002/rcm.1219
- Qi H., Coplen T. B., Mroczkowski S. J., Brand W. A., Brandes L., Geilmann H. (2016). A new organic reference material, l-glutamic acid, USGS41a, for δ 13C and δ 15N measurements—a replacement for USGS41. Rapid Commun. Mass Spectrom. 30, 859 – 866. doi:10.1002/rcm.7510
- R Core Team (2025). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Available online at: (Accessed February 28, 2026).
- Raczky P., Anders A. (2014). “ Szentpéterszeg-Kovadomb: Egy késő neolitikus lelőhely tér-képe,” in Avarok Pusztái/Avarum Solitudines: Régészeti Tanulmányok Lőrinczy Gábor 60. Születésnapjára, eds. Anders A., Balogh C., Türk A. (Budapest: Martin Opitz Kiadó – MTA BTK MŐT), 23 – 42.
- Raczky P., Füzesi A., Sebők K., Faragó N., Csippán P., Anders A. (2020). “ A special house from the late Neolithic tell settlement of Berettyóújfalu-Herpály (Hungary): reconstruction of a two-story building, its furnishings and objects from the earlier 5th millenium BC,” in From Past to Present. Studies in Memory of Manfred O. Korfmann, eds. Blum S. W. E., Efe T., Kienlin T. L., Pernicka E. (Bonn: Verlag Dr. Rudolf Habelt Gmbh)), 429 – 457.
- Raczky P., Meier-Arendt W., Anders A., Hajdú Z., Nagy E., Kurucz K. (2002). “ Polgár-Csőszhalom (1989-2000): summary of the Hungarian-German excavations on a Neolithic settlement in eastern Hungary,” in Mauerschau: Festschrift für Manfred Korfmann, eds. Korfmann M., Aslan R. (Remshalden-Grunbach: Verlag Bernhard), 833 – 860.
- Reed K. (2024). Assessing carbon and nitrogen stable isotope variability within individual carbonised archaeological cereal grains. Retrieved Osfiog7dxm. doi:10.17605/OSF.IO/G7DXM
- Reed K., Sabljić S., Šoštarić R., Essert S. (2019). Grains from ear to ear: the morphology of spelt and free-threshing wheat from Roman Mursa (Osijek), Croatia. Veg. Hist. Archaeobotany. 28, 623 – 634. doi:10.1007/s00334-019-00719-4
- Riebe D. (2021). Redefining Archaeological Cultures: Boundaries and Interactions during the Late Neolithic on the Great Hungarian Plain. Budapest: Archaeolingua.
- Riebe D., Dani J., Gyucha A., Stibrányi M., Mesterházy G., Pethe M. (2023). Tell a different story: preliminary results from investigations at the late Neolithic Herpály settlement Complex of Csökmő-Káposztás-domb. Hung. Archaeol. 12, 13. doi:10.36338/ha.2023.3.1
- Riehl S., Bryson R., Pustovoytov K. (2008). Changing growing conditions for crops during the near eastern bronze age (3000–1200 BC): the stable carbon isotope evidence. J. Archaeol. Sci. 35, 1011 – 1022. doi:10.1016/j.jas.2007.07.003
- Ritchey M. M., Sun Y., Matuzeviciute G. M., Shoda S., Pokharia A. K., Spate M. (2021). The wind that shakes the barley: the role of east Asian cuisines on barley grain size. World. Archaeol. 53, 287 – 304. doi:10.1080/00438243.2022.2030792
- Robinson D. (2001). Δ 15n as an integrator of the nitrogen cycle. Trends Ecol. Evol. 16, 153 – 162. doi:10.1016/S0169-5347(00)02098-X
- Snyder L. D., Gómez M. I., Power A. G. (2020). Crop varietal mixtures as a strategy to support insect pest control, yield, economic, and nutritional services. Front. Sustain. Food Syst. 4, 60. doi:10.3389/fsufs.2020.00060
- Stefanović M. (1997). The age of clay: the social dynamics of house destruction. J. Anthropol. Archaeol. 16, 334 – 395. doi:10.1006/jaar.1997.0310
- Stroud E., Charles M., Bogaard A., Hamerow H. (2023). Turning up the heat: assessing the impact of charring regime on the morphology and stable isotopic values of cereal grains. J. Archaeol. Sci. 153, 105754. doi:10.1016/j.jas.2023.105754
- Stroud E., Charles M., Jones G., Hodgson J. G., Bogaard A. (2024). Seeing the fields through the weeds: introducing the WeedEco R package for comparing past and present arable farming systems using functional weed ecology. Veg. Hist. Archaeobotany. 33, 475 – 487. doi:10.1007/s00334-023-00964-8
- Styring A. K., Ater M., Hmimsa Y., Fraser R., Miller H., Neef R. (2016a). Disentangling the effect of farming practice from aridity on crop stable isotope values: a present-day model from Morocco and its application to early farming sites in the eastern Mediterranean. Anthr. Rev. 3, 2 – 22. doi:10.1177/2053019616630762
- Styring A. K., Charles M., Fantone F., Hald M. M., McMahon A., Meadow R. H. (2017a). Isotope evidence for agricultural extensification reveals how the world’s first cities were fed. Nat. Plants. 3, 17076. doi:10.1038/nplants.2017.76
- Styring A. K., Vaiglova P., Bogaard A., Church M. J., Gröcke D. R., Larsson M. (2024). Recommendations for stable isotope analysis of charred archaeological crop remains. Front. Environ. Archaeol. 3, 1470375. doi:10.3389/fearc.2024.1470375
- Styring A., Maier U., Stephan E., Schlichtherle H., Bogaard A. (2016b). Cultivation of choice: new insights into farming practices at Neolithic lakeshore sites. Antiquity. 90, 95 – 110. doi:10.15184/aqy.2015.192
- Styring A., Rösch M., Stephan E., Stika H.-P., Fischer E., Sillmann M. (2017b). Centralisation and long-term change in farming regimes: comparing agricultural practices in Neolithic and iron age south-west Germany. Proc. Prehist. Soc. 83, 357 – 381. doi:10.1017/ppr.2017.3
- Sun Y., Ritchey M., Zhong H., Tang L., Sergusheva E., Shi T. (2024). Variation of millet grain size and cooking techniques across Asia between the late fourth and first millennia BC. Antiquity. 98, 401 – 416. doi:10.15184/aqy.2024.31
- Sundgren T. K., Uhlen A. K., Waalen W., Lillemo M. (2018). Field screening of waterlogging tolerance in spring wheat and sSpring Barley. Agronomy. 8, 38. doi:10.3390/agronomy8040038
- Szpak P. (2014). Complexities of nitrogen isotope biogeochemistry in plant-soil systems: implications for the study of ancient agricultural and animal management practices. Front. Plant Sci. 5, 288. doi:10.3389/fpls.2014.00288
- Szpak P., Metcalfe J. Z., Macdonald R. A. (2017). Best practices for calibrating and reporting stable isotope measurements in archaeology. J. Archaeol. Sci. Rep. 13, 609 – 616. doi:10.1016/j.jasrep.2017.05.007
- Tasić N., Marić M., Penezić K., Filipović D., Borojević K., Russell N. (2015). The end of the affair: formal chronological modelling for the top of the Neolithic tell of Vinča-Belo Brdo. Antiquity. 89, 1064 – 1082. doi:10.15184/aqy.2015.101
- Tringham R. (2005). “ Weaving house life and death into places: a blueprint for a hypermedia narrative,” in Settling Neolit, eds. Bailey D., Whittle A., Cummings V. (Oxford: Oxbow Books), 98 – 111.
- Twiss K. C., Bogaard A., Haddow S., Milella M., Taylor J. S., Veropoulidou R. (2024). “But some were more equal than others:” exploring inequality at Neolithic Çatalhöyük. PLoS One. 19, e0307067. doi:10.1371/journal.pone.0307067
- Vaiglova P., Coleman J., Diffey C., Tzevelekidi V., Fillios M., Pappa M. (2023). Exploring diversity in Neolithic agropastoral management in mainland Greece using stable isotope analysis. Environ. Archaeol. 28, 62 – 85. doi:10.1080/14614103.2020.1867292
- Vaiglova P., Snoeck C., Nitsch E., Bogaard A., Lee-Thorp J. (2014). Impact of contamination and pre-treatment on stable carbon and nitrogen isotopic composition of charred plant remains. Rapid Commun. Mass Spectrom. 28, 2497 – 2510. doi:10.1002/rcm.7044
- van Bommel D., Bruins H. J., Lazarovitch N., van der Plicht J. (2021). Effect of dung, ash and runoff water on wheat and barley grain sizes and stable isotope ratios: experimental studies in ancient desert agriculture (Negev, Israel). J. Archaeol. Sci. Rep. 39, 103172. doi:10.1016/j.jasrep.2021.103172
- Van der Veen M. (1992). Crop Husbandry Regimes: An Archaeobotanical Study of Farming in Northern England, 1000 BC-AD 500. Birmingham: JR Collis Publications.
- Wallace M., Jones G., Charles M., Fraser R., Halstead P., Heaton T. H. E. (2013). Stable carbon isotope analysis as a direct means of inferring crop water status and water management practices. World. Archaeol. 45, 388 – 409. doi:10.1080/00438243.2013.821671
- Wallace M. P., Jones G., Charles M., Fraser R., Heaton T. H. E., Bogaard A. (2015). Stable carbon isotope evidence for Neolithic and bronze age crop water management in the Eastern Mediterranean and southwest Asia. PLoS One. 10, e0127085. doi:10.1371/journal.pone.0127085
- Ward J. H. (1963). Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236 – 244. doi:10.1080/01621459.1963.10500845
- White J. W. C., Vaughn B. H., Michel S. E. (2015). Stable Isotopic Composition of Atmospheric Carbon Dioxide (13C and 18O) from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network, 1990–2014. (Boulder: University of Colorado, Institute of Arctic and Alpine Research (INSTAAR)).
- Willcox G. (2004). Measuring grain size and identifying near eastern cereal domestication: evidence from the Euphrates valley. J. Archaeol. Sci. 31, 145 – 150. doi:10.1016/j.jas.2003.07.003
Citation
Duffy, P. R., et al. (2026). Nascent agricultural extensification and distinct household cultivation strategies supported first population centers in Neolithic southeastern Europe. Frontiers in Environmental Archaeology, Volume 5. https://doi.org/
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© 2026 Duffy, Reed, Raczky, Kalicz, Kroll and Makarewicz.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Paul R. Duffy; Cheryl A. Makarewicz
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