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Archaeological data provide a potential to investigate the diffusion of technological and cultural traits. However, much of this research agenda currently needs more formal quantitative methods to address small sample sizes and chronological uncertainty. This paper introduces a novel Bayesian framework for inferring the shape of diffusion curves using radiocarbon data associated with the presence/absence of a particular innovation. We developed two distinct approaches: 1) a hierarchical model that enables the fitting of an s-shaped diffusion curve whilst accounting for inter-site variations in the probability of sampling the innovation itself, and 2) a non-parametric model that can estimate the changing proportion of the innovation across user-defined time-blocks. The robustness of the two approaches was first tested against simulated datasets and then applied to investigate three case studies, the first pair on the diffusion of farming in prehistoric Japan and Britain and the third on cycles of changes in the burial practices of later prehistoric Britain. • Bayesian methods for modelling diffusion curves with radiocarbon dates are introduced. • Sample interdependence and non-sigmoid diffusion curves can be handled. • Robustness is tested on simulated datasets and archaeological case studies. • Code and data are available on a GitHub repository and archived on Zenodo. [ABSTRACT FROM AUTHOR]

This special issue examines new trends in phytolith scholarship and assesses the future direction of this field of research. The papers presented represent a broader shift in phytolith research into a new phase called the “Period of Expanding Applications”. It is characterized by 1) a rapid increase in the number of phytolith publications; 2) a diversification of research topics; 3) a reassessment of the use of radiocarbon and other isotopes in phytoliths; 4) the development of digital technologies for refining and sharing phytolith identifications; 5) renewed efforts for standardization of phytolith nomenclature and laboratory protocol; and 6) the development of the field of applied phytolith research. This paper argues that interdisciplinary collaborations and a continued effort to understand the basics of phytolith production patterns are essential for the growth of the discipline and its application in archaeological studies. [ABSTRACT FROM AUTHOR]

This paper presents the results of a series of geochemical analysis conducted on 20 bitumen samples from the Neolithic site of Dosariyah (Eastern Province, Saudi Arabia). The aim of this study was to establish the geological origin of this bitumen in order to identify the bitumen seepage they were extracted from. The majority of the samples could be successfully related to bitumen seepages of northern Iraq. Two samples didn't match the bulk of the samples and probably came from the Burgan Hill seepage (Kuwait). Three samples were too badly degraded in order to deliver reliable data, and were removed from the dataset. These conclusions stand in contrast with H3/as-Sabiyah, —a site culturally and geographically linked with Dosariyah— which bitumen came exclusively from the Burgan Hill. In this paper we argue that this difference may be explained by the difference in dating between the two sites, as H3/as-Sabiyah slightly predates Dosariyah. [ABSTRACT FROM AUTHOR]

Renewable energy (RE) plays a crucial role in global energy transformation, and a thorough study of the potential impact of RE on regional carbon emissions is of great significance. This is particularly relevant to China, which needs to clarify its path to carbon reduction. Using the sample data of 30 provinces in China from 2000 to 2021, this paper uses the Granger causality test to verify the causal relationship between carbon emission intensity (CEI) and other factors. It builds a mediation effect model on this basis to explore the direct impact effect and indirect transmission path of renewable energy utilization (REU) on CEI. The results show that REU has a one-way causal relationship with CEI. REU can directly and indirectly reduce CEI by improving social wealth and changing the direction of energy investment. In addition, REU indirectly increases CEI through the transmission paths of investment in the energy industry - social affluence and industrial level-social affluence. The CEI is indirectly reduced through the conduction paths of (social affluence-Urbanization rate), (Investment in the energy industry-Urbanization rate), (Industrial level-Urbanization rate), and (Industrial level-Investment in the energy industry). These conclusions will assist policymakers in exploring targeted pathways for low-carbon power development, providing a reference for strategic and sustainable carbon reduction policies. [Display omitted] • Enrich the view of renewable energy's indirect impact on carbon emissions. • Renewable energy's carbon emission reductions go beyond replacing fossil fuels. • Constructed a mediating effect model between renewable energy and carbon emissions. • Renewable energy can promote or inhibit carbon emissions through various pathways. • Research helps develop more effective renewable energy sustainability strategies. [ABSTRACT FROM AUTHOR]

• Changes in hinterland demographics do not explain the timing and pattern of mining activity. • The start of mining is highly correlated with the appearance of jade axes in northwest Europe. • The start of mining in Great Britain is highly correlated with changes in open ground pollen taxa. The extent to which non-agricultural production in prehistory had cost-benefit motivations has long been a subject of discussion. This paper addresses the topic by looking at the evidence for Neolithic quarrying and mining in Britain and continental northwest Europe and asks whether changing production through time was influenced by changing demand. Radiocarbon dating of mine and quarry sites is used to define periods of use. These are then correlated with a likely first-order source of demand, the size of the regional populations around the mines, inferred from a radiocarbon-based population proxy. There are significant differences between the population and mine-date distributions. Analysis of pollen data using the REVEALS method to reconstruct changing regional land cover patterns shows that in Britain activity at the mines and quarries is strongly correlated with evidence for forest clearance by incoming Neolithic populations, suggesting that mine and quarry production were a response to the demand that this created. The evidence for such a correlation between mining and clearance in continental northwest Europe is much weaker. Here the start of large-scale mining may be a response to the arrival by long-distance exchange of high-quality prestige jade axes from a source in the Italian Alps. [ABSTRACT FROM AUTHOR]

This paper adopts a formal model-testing approach to the Peruvian radiocarbon ( 14 C) record, the site of the first aggregate analysis of this type of archaeological data. Using a large and improved regional dataset of radiometric determinations (n = 1180) from the period 14000–3000 14 C years before present, the study performs a comparative analysis of the demographic trajectories of two sub-regions, the desert coast and Andean highlands. Against the backdrop of theoretical models of population growth, and controlling for taphonomic factors and sampling biases, the study performs global significance and permutation tests on the data. These provide a necessary measure of statistical confidence that have hereto been absent from the discussion of pre-Columbian demography. Contrary to the findings of prior work, this study of radiocarbon data in Peru reveals that regional trends in the data are statistically indistinguishable. Further testing and comparison to climate archives is able to illustrate sustained population growth over the entire Holocene epoch in this region, with only a few notable exceptions at the end of the mid-Holocene (5000 cal BP). The findings of the analysis are viewed in relation to the cultural and technological changes that indigenous societies experienced in the timeframe in question, and some directions for methodological advances are suggested. [ABSTRACT FROM AUTHOR]

Raw counts of archaeological sites, estimates of changing settlement size and summed radiocarbon probability distributions have all become popular ways to investigate long-term regional trends in human population. Nevertheless, these three archaeological proxies have rarely been compared. This paper therefore explores the strengths and weaknesses of different kinds of archaeological evidence for population patterns, as well as how they address related issues such as taphonomic loss, chronological uncertainty and uneven sampling. Our overall substantive goal is to reconstruct demographic fluctuations in central Italy from the Late Mesolithic to the fall of the Roman Empire (7500 BC-AD 500), and with this in mind, we bring to bear an unusually detailed and extensive dataset of published central Italian archaeological surveys, consisting of some 10,971 occupation phases at 7383 different sites. The comparative results demonstrate reassuring consistency in the suggested demographic patterns, and where such patterns diverge across different proxies (e.g. Late Bronze Age/Iron Age) they often do so in useful ways that suggest changes in population structure such as site nucleation or dispersal. [ABSTRACT FROM AUTHOR]

In this paper, the stereoselective degradation and quantitative identification of chiral pesticide etoxazole in organisms with different classes of organisms (soil, chlorella algal fluid and mice) were carried out by compound-specific isotope analysis (CSIA). The degradation behavior and stable isotope fractionation effect of etoxazole in soil, chlorella and mice were investigated. The R-etoxazole degraded faster than S-etoxazole in different classes of organisms. The metabolites M1, M2 and M3 were detected in all three substrates. Biodegradation is the main factor for the change of stable isotope ratio of chiral pesticide etoxazole. Furthermore, the relationship between fractionation value of carbon isotope and residual concentration of etoxazole is established by Rayleigh equation, and the biodegradation rate of etoxazole could be calculated by using CSIA without measuring the concentration of etoxazole. Therefore, the use of CSIA can accurately assess the degradation behavior of pesticide pollution in the environment and provide a certain scientific evidence and technical support in the process of environmental remediation. [Display omitted] • Selective degradation and quantitative identification of etoxazole in soil, chlorella and mice were studied systematically. • The selective environmental behaviour of etoxazole in organisms of different biological grades was compared. • The enrichment factor derived from the Rayleigh equation was used to quantify the degradation of etoxazole. [ABSTRACT FROM AUTHOR]

Highlights • δ13C and δ15N were firstly applied to test the presence of C-4 carbon in shoyu. • Authors have over interpreted their data set and critical discussion is needed. • More samples should be determined for a more reliable method validation. • Measures should be taken to eliminate isotopic fractionation before determination. Abstract In a recent paper published in this journal by Morais et al., carbon and nitrogen (N) isotopic compositions were determined by element analyzer-isotope ratio mass spectrometry (EA-IRMS), and were firstly applied to test the presence of C-4 carbon in soy sauces (shoyu) produced in Brazil. Results indicated that most of the shoyu in Brazil contained <20% soy, and the dominant cereal was maize due to its cheaper price. However, the authors have greatly over interpreted their data set and thus the subsequent conclusions drawn now require critical comment and discussion. The sample size was not enough to support any conclusion about them. In addition, the stewing process in the production of shoyu could significantly affect the degree of the isotopic fractionation, resulting in the unreliable δ13C and δ15N values of shoyu. Therefore, more samples should be determined for a more reliable method validation and several measures should be taken to eliminate or reduce the isotopic fractionation caused by external processing conditions before determination. [ABSTRACT FROM AUTHOR]

Panting protected forests to increase soil carbon sequestration is an effective means of reducing carbon emissions. Soil organic carbon (SOC) decomposition is one of the main indicators of soil carbon sequestration. However, SOC decomposition and its influencing factors in protected forests have not been fully characterized, especially in coastal zones. In this paper, coastal zone protected forest stands composed of Quercus acutissima Carruth (QAC), Pinus thunbergii Parl (PTP) and mixed PTP and QAC (MF) were selected as the research objects. The trends of the SOC decomposition rate were characterized by the beta (β) value, and the influencing factors were further explored with structural equation models. The results were as follows: The SOC content decreased from leaf to litter and then to the soil profile at all sites, while the δ13C value increased. The β value ranged from −3.12 to −5.76, with an average of −3.81. The β value was positively correlated with the diversity and richness of soil bacteria, supporting the hypothesis that the increase in δ13C with depth was mainly caused by isotope fractionation in the process of microbial SOC decomposition. The structural equation model showed that nitrogen and the availability of nitrogen have a strong ability to explain the value of β, which indicates that nitrogen-based edaphic variables play an important role in affecting SOC decomposition. The SOC decomposition rate in PTP was higher than that in QAC and MF. The results of this study indicate that the prediction of SOC decomposition based on the β value is suitable for coastal zone protected forests. The incorporation of edaphic variables into global carbon cycle models may enhance the predictions of SOC dynamics in coastal zone protected forests. [Display omitted] • δ13C enrichment along the soil depth profile was mainly due to selective utilization of carbon by bacteria. • Nitrogen availability and C:N have a strong ability to explain the SOC decomposition. • Tree species composition caused the significant change of SOC decomposition rate. • β value can be regarded as a good indicator of SOC decomposition in coastal zone. [ABSTRACT FROM AUTHOR]

The excavation of Manot Cave (Israel) reveals intensive occupation during the Early Upper Paleolithic and provides the first continuous set of anthracological data available for the Ahmarian, Levantine Aurignacian and post-Levantine Aurignacian periods. The paper aims to study the vegetal landscape around Manot Cave in the context of climate changes that characterized the last part of the Marine Isotope Stage 3 (MIS 3) and to address the issue of firewood and food procurement among Paleolithic hunter-gatherers. Charcoal samples recovered from the archaeological layers at Manot Cave shed light on the fuel and food procurement strategies while radiocarbon dating and stable carbon isotope analysis (Δ13C) of selected charcoals provide information about the ancient climate. The results show that five woody taxa were exploited at the site; Amygdalus sp. was the most common species, whereas Quercus ithaburensis , Tamarix sp., Pomoideae indet., and Pistacia atlantica were relatively rare. The representations of the recovered wooden species suggest that an open forest of almonds and oaks existed in the area during MIS 3. Radiocarbon dating of Amygdalus sp. charcoals, coupled with stable carbon isotope analysis (Δ13C) of modern and archaeological Amygdalus sp. clearly indicate variations in rainfall that could have decreased the density of tree cover. These analyses provide high-resolution data on the climate changes affecting the surroundings of Manot Cave between ∼46 and 28 ka cal BP and indicate two drier phases corresponding to the Ahmarian and post-Levantine Aurignacian cultures while a more humid period identified during the Levantine Aurignacian. [ABSTRACT FROM AUTHOR]

• A ratchet model of hunter-gatherer population growth is proposed. • Radiocarbon data from Texas support the ratchet model of hunter-gatherer population growth. • Results suggest that a common dynamic underlies population gowth in hunter-gatherer and industrializing populations. Describing and explaining the population growth trajectories of prehistoric hunter-gatherers is an important research problem. Large radiocarbon data sets provide one empirical starting point for describing these trajectories; however, explaining trajectories of growth must always take place within the context of theory. In this paper, we formalize a ratchet model of long-term, mean population growth among hunter-gatherers and evaluate the plausibility of that model using two extensive radiocarbon data sets from Central Texas and the Texas Coastal Plain. Our analysis suggests that hunter-gatherer populations in these regions displayed waves of population growth separated by periods of population saturation and competition for resources. Our model and results suggest that hunter-gatherer populations in Texas may have experienced multiple demographic transitions to successively higher levels of population saturation (carrying capacity). Our results derive from a general model, a set of methods applicable across archaeological regions, and provide a basis for hypotheses that may explain changes in the socioecology of hunter-gatherers. [ABSTRACT FROM AUTHOR]

• This paper is the first formal contribution to bioarchaeology from the 9L-22 & 9L-23 residential complex at the Classic Maya site of Copan in western Honduras. Strontium, oxygen, and carbon isotope are available from 66 burials. They are dated to the Classic period (ca. 400–700 CE) and offer an interesting object of comparison with the well-discussed "Las Sepulturas", a roughly contemporaneous group at the site. • We incorporate recent Central American baseline data and interpret the ancient migration based on strontium, oxygen, and carbon isotopes. • We discuss the drifting and dynamic nature of ethnicity, based on comparisons between the isotopic origin of the individual and material culture in his/her mortuary context. • We discuss a new type of immigration into the ancient city of Copan and provide new starting lines of broader discussions on the general perspective of ancient human migration at cultural borderlands. Strontium, oxygen, and carbon isotopes were measured in human tooth enamel from 66 burials in 9L-22 and 9L-23 residential groups at the Classic Maya site of Copan in western Honduras. These results are discussed in relation to earlier studies at Copan and baseline measurements from the surrounding region and the Maya area in general. Nearly 50% of the individuals are identified as non-local based on combinations of strontium, oxygen, and carbon isotope ratios. They came from a variety of places in the Maya area. This migratory pattern at the 9L-22 & 9L-23 residential complex from the Early to Late Classic (ca. 400–800 CE) is compared with 10J-45 sector from the mainly Early Classic occupation (ca. 400–650 CE) and an interesting change is noted. The social privileges observed among the Early Classic immigrants from the north Maya Lowlands were apparently revoked in the Late Classic. New immigrants, probably from the "non-Maya" regions of Western/Central Honduras, appear to have gained those social privileges. High-status Honduran individuals in the urban core suggests a strategy by the Copan dynasty in the Late Classic that incorporated the emerging "non-Maya" elites from Western/Central Honduras. [ABSTRACT FROM AUTHOR]