DISJUNCTURE AMONG CLASSIC PERIOD CULTURAL LANDSCAPES IN THE TUXTLA MOUNTAINS, SOUTHERN VERACRUZ, MEXICO

Teotihuacan was the most influential city in the Classic Mesoamerican worldsystem. Like other influential cities in the ancient world, however, Teotihuacan did not homogenously affect the various cultural landscapes that thrived in Mesoamerica during the Classic period (300-900 CE). Even where strong central Mexican influences appear outside the Basin of Mexico, the nature, extent, and strength of these influences are discontinuous over time and space. Every place within the Classic Mesoamerican landscape has a unique Teotihuacan story. In the Tuxtla Mountains of southern Veracruz, Mexico, Matacapan, located in the Catemaco Valley, drew heavily upon ideas and symbols fostered at Teotihuacan, while Totocapan, a peer political capital located in the neighboring Tepango Valley, emphasized social institutions well-entrenched within Gulf Coast cultural traditions. Through a detailed comparison of these two river valleys, I demonstrate that each polity developed along different trajectories. By the Middle Classic (450-650 CE) each polity displayed different political, economic, and ritual institutions. While they shared an underlying material culture style, the data suggest that the regimes of both polities promoted a different ideology. These cultural divergences did not, however, cause hostilities between them. To the contrary, compositional sourcing of Coarse Orange jars indicates that they engaged in material exchanges with each other. Agents at each settlement within the study region made unique decisions with regard to their involvement in local, regional, and macroregional interaction networks, particularly with regard to the adoption or rejection of Teotihuacan cultural elements. As a result, the Classic period Tuxtlas comprised multiple overlapping, but disjoint, landscapes of interaction. Places of human settlement were nodes on the landscape where these disjoint landscapes intersected in space and time. By examining these disjunctures, world-system studies can reveal a trend of increasing cultural diversity that parallels the better-theorized trend of homogenization emphasized by core-periphery models. In this dissertation, I take the initial steps toward developing an archaeology of disjuncture that examines the cultural variability that develops where groups across the landscape employ different strategies of interaction within the world-system

Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018

The Conference Proceedings are an impressive display of the current scope of Ecological Informatics. Whilst Data Management, Analysis, Synthesis and Forecasting have been lasting popular themes over the past nine biannual ICEI conferences, ICEI 2018 addresses distinctively novel developments in Data Acquisition enabled by cutting edge in situ and remote sensing technology. The here presented ICEI 2018 abstracts captures well current trends and challenges of Ecological Informatics towards: • regional, continental and global sharing of ecological data, • thorough integration of complementing monitoring technologies including DNA-barcoding, • sophisticated pattern recognition by deep learning, • advanced exploration of valuable information in ‘big data’ by means of machine learning and process modelling, • decision-informing solutions for biodiversity conservation and sustainable ecosystem management in light of global changes

Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018

The Conference Proceedings are an impressive display of the current scope of Ecological Informatics. Whilst Data Management, Analysis, Synthesis and Forecasting have been lasting popular themes over the past nine biannual ICEI conferences, ICEI 2018 addresses distinctively novel developments in Data Acquisition enabled by cutting edge in situ and remote sensing technology. The here presented ICEI 2018 abstracts captures well current trends and challenges of Ecological Informatics towards: • regional, continental and global sharing of ecological data, • thorough integration of complementing monitoring technologies including DNA-barcoding, • sophisticated pattern recognition by deep learning, • advanced exploration of valuable information in ‘big data’ by means of machine learning and process modelling, • decision-informing solutions for biodiversity conservation and sustainable ecosystem management in light of global changes

2013 GREAT Day Program

SUNY Geneseo’s Seventh Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1007/thumbnail.jp

2017 GREAT Day Program

SUNY Geneseo’s Eleventh Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1011/thumbnail.jp