Evidence for the impact of the 8.2-kyBP climate event on Near Eastern early farmers.

The 8.2-thousand years B.P. event is evident in multiple proxy records across the globe, showing generally dry and cold conditions for ca. 160 years. Environmental changes around the event are mainly detected using geochemical or palynological analyses of ice cores, lacustrine, marine, and other sediments often distant from human settlements. The Late Neolithic excavated area of the archaeological site of Çatalhöyük East [Team Poznań (TP) area] was occupied for four centuries in the ninth and eighth millennia B.P., thus encompassing the 8.2-thousand years B.P. climatic event. A Bayesian analysis of 56 radiocarbon dates yielded a high-resolution chronological model comprising six building phases, with dates ranging from before 8325-8205 to 7925-7815 calibrated years (cal) B.P. Here, we correlate an onsite paleoclimate record constructed from δ2H values of lipid biomarkers preserved in pottery vessels recovered from these buildings with changes in architectural, archaeozoological, and consumption records from well-documented archaeological contexts. The overall sequence shows major changes in husbandry and consumption practices at ca. 8.2 thousand years B.P., synchronous with variations in the δ2H values of the animal fat residues. Changes in paleoclimate and archaeological records seem connected with the patterns of atmospheric precipitation during the occupation of the TP area predicted by climate modeling. Our multiproxy approach uses records derived directly from documented archaeological contexts. Through this, we provide compelling evidence for the specific impacts of the 8.2-thousand years B.P. climatic event on the economic and domestic activities of pioneer Neolithic farmers, influencing decisions relating to settlement planning and food procurement strategies

Big Data Solutions to Interpreting Complex Systems in the Environment

The amount of relevant published data sets available in the environmental sciences is rapidly increasing in recent years. For example, the National Oceanic and Atmospheric Administration (NOAA) has published vast data resources and tremendous volumes of high quality environmental data. Analyzing those data sets poses unprecedented challenges and opportunities to environmental scientists. The goal of this chapter is to present a practical investigation of big data tools that can be used to analyze environmental data sets and provide environmental information to decision makers in the political and non-profit spheres. Throughout this chapter, we will provide examples of the uses of big data analysis in assessing environmental impact and change in real-time in hopes of initiating discussion towards benchmarking key features and considerations of big data techniques