Modelling Human Environment Interactions In And Beyond Prehistoric Europe

This book offers insight into the relationship between prehistoric and protohistoric human populations and the world around them. It reconstructs key aspects of the palaeoenvironment – from large-scale drivers of environmental conditions, such as climate, to more regional variables such as vegetation cover and faunal communities. The volume underscores how computational archaeology is leading the way in the study of past human-environment interactions across spatial and chronological scales. With the increased availability of high-resolution climate models, agent-based modelling, palaeoecological proxies and the mature use of Geographic Information System in ecological modelling, archaeologists working in interdisciplinary settings are well-positioned to explore the intersection of human systems and environmental affordances and constraints. These methodological advancements provide a better understanding of the role humans played in past ecosystems – both in terms of their impact upon the environment and, in return, the impact of environmental conditions on human systems. They may also allow us to infer past ecological knowledge and land-use patterns that are historically contingent, rather than environmentally determined. This volume gathers contributions that combine reconstructions of past environments and archeological data with a view to exploring their complex interactions at different scales and invites scholars from varying disciplines and backgrounds to present and compare different modelling approaches.

The impacts of climate change on human societies, and the roles those societies themselves play in altering their environments, appear in headlines more and more as concern over modern global climate change intensifies. Increasingly, archaeologists and paleoenvironmental scientists are looking to evidence from the human past to shed light on the processes which link environmental and cultural change. Establishing clear contemporaneity and correlation, and then moving beyond correlation to causation, remains as much a theoretical task as a methodological one. This book addresses this challenge by exploring new approaches to human-environment dynamics and confronting the key task of constructing arguments that can link the two in concrete and detailed ways. The contributors include researchers working in a wide variety of regions and time periods, including Mesoamerica, Mongolia, East Africa, the Amazon Basin, and the Island Pacific, among others. Using methodological vignettes from their own research, the contributors explore diverse approaches to human-environment dynamics, illustrating the manifold nature of the subject and suggesting a wide variety of strategies for approaching it. This book will be of interest to researchers and scholars in Archaeology, Paleoenvironmental Science, Ecology, and Geology.

Modern ecological studies are unable to examine long-term processes operating on the order of hundreds of years. Because of the limited length of modern and historic records, questions about long-term interactions between people and the environment can only be answered using paleoecological and archaeological information. This volume presents prehistoric records that span over a millennium to examine issues of human paleoecology on the Columbia Plateau of Washington State, USA. Unlike many previous studies, this study (1) quantifies past human population, (2) compares relative inputs of humans, climate, fire, and vegetation using multivariate statistics, (3) examines relationships between variables when leads and lags of different lengths are introduced, and (4) identifies multicollinearity, allowing variables of no unique explanatory value to be eliminated. This study indicates that research on human impacts that focuses on bivariate patterns, such as simple comparisons of coeval human population and fire, can suffer from the problem of equifinality. The multivariate statistical procedures employed in this work avoid these problems, however, and can be used in any study that employs observations taken at equally-spaced time intervals. Additionally, the protocols developed and used in this volume can be easily adapted and applied in new geographical areas-the methods and research design used need not be tied to this particular location.

Prehistoric Florida societies, particularly those of the peninsula, have been largely ignored or given only minor consideration in overviews of the Mississippian southeast (A.D. 1000-1600). This groundbreaking volume lifts the veil of uniformity frequently draped over these regions in the literature, providing the first comprehensive examination of Mississippi-period archaeology in the state. Featuring contributions from some of the most prominent researchers in the field, this collection describes and synthesizes the latest data from excavations throughout Florida. In doing so, it reveals a diverse and vibrant collection of cleared-field maize farmers, part-time gardeners, hunter-gatherers, and coastal and riverine fisher/shellfish collectors who formed a distinctive part of the Mississipian southeast.

The transition from the Neolithic period to the Copper Age in the northern Balkans and the Carpathian Basin was marked by significant changes in material culture, settlement layout and organization, and mortuary practices that indicate fundamental social transformations in the middle of the fifth millennium BC. Prior research into the Late Neolithic of the region focused almost exclusively on fortified 'tell' settlements. The Early Copper Age, by contrast, was known primarily from cemeteries such as the type site of Tiszapolgar-Basatanya. This edited book describes the multi-disciplinary research conducted by the Koros Regional Archaeological Project in southeastern Hungary from 2000-2007. Centered around two Early Copper Age Tiszapolgar culture villages in the Koros Region of the Great Hungarian Plain, Veszto-Bikeri and Korosladany-Bikeri, our research incorporated excavation, surface collection, geophysical survey and soil chemistry to investigate settlement layout and organization. Our results yielded the first extensive, systematically collected datasets from Early Copper Age settlements on the Great Hungarian Plain. The two adjacent villages at Bikeri, located only 70 m apart, were similar in size, and both were protected with fortifications. Relative and absolute dates demonstrate that they were occupied sequentially during the Early Copper Age, from ca. 4600-4200 cal B.C. The excavated assemblages from the sites are strikingly similar, suggesting that both were occupied by the same community. This process of settlement relocation after only a few generations breaks from the longer-lasting settlement pattern that are typical of the Late Neolithic, but other aspects of the villages continue traditions that were established during the preceding period, including the construction of enclosure systems and longhouses.

This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.