Last Glacial Maximum (Other Keyword)

1-8 (8 Records)

Lithic technological organization and social networks during the LGM in Southwestern Iberia (2015)
DOCUMENT Citation Only Joao Cascalheira. Nuno Bicho.

Clusters of sites in particular regions of Southwestern Europe seem to reveal that the Last Glacial Maximum (LGM) settlement patterns form a scenario of relatively isolated refugia that may have contracted and expanded their cultural influence as climate fluctuated. Similarities between each of these niches have been long argued, based on the distribution of specific types of lithic weaponry. This paper will focus on a study of lithic technological organization during the LGM in Southwestern...


The Middle Upper Paleolithic of the Transbaikal, Russia: Ice Age Humans in Southern Siberia (2016)
DOCUMENT Citation Only Ian Buvit. Karisa Terry. Steven Hackenberger. Irina Razgildeeva. Masami Izuho.

The Last Glacial Maximum (LGM, 26-20 kya) was a time of reduced global temperatures. Southern Siberia, where decades of Paleolithic research have demonstrated a keen link between environment and middle Upper Paleolithic hunter-gatherer behavior, offers a unique testing ground to examine various ecologically sound models about whether human populations declined or disappeared during the height of the last ice age. Other unanswered questions have to do with the origin and dispersal of microliths...


Peering into the past Cape vegetation during the Last Glacial Maximum using species distribution modelling and dynamic global vegetation modelling (2015)
DOCUMENT Citation Only Alastair Potts. Richard Cowling. Simon Scheiter. Steven Higgins. Janet Franklin.

The Cape has a rich archaeological record that spans the Quaternary. Understanding shifts and changes of vegetation across this landscape will help to contextualise this record and understand the prehistoric resource paleoscape. In order to do this we couple high-resolution regionally downscaled climate simulations of the Last Glacial Maximum, landscape features (e.g. geology, aspect, slope) and two different approaches to modelling vegetation: species distribution modelling (SDM) and dynamic...


POLLEN, DIATOM, AND MACROFLORAL ANALYSIS OF SAMPLES FROM A CORE NEAR MAZOMANIE, WISCONSIN (2011)
DOCUMENT Full-Text Linda Scott Cummings. Barbara Winsborough. Kathryn Puseman.

Four samples from a core collected in marsh, lacustrine, and outwash sediment immediately outboard of the Last Glacial Maximum ice margin were examined for pollen, diatoms, and macrofloral remains. The core location is in south-central Wisconsin near the town of Mazomanie. The samples were widely spaced through deposits between 44 and 25 feet in depth.


Review of Across Atlantic Ice: The Origin of America's Clovis Culture (2013)
DOCUMENT Full-Text David Vlcek.

Review of Across Atlantic Ice: The Origin of America's Clovis Culture


Review of Across Atlantic Ice: The Origin of America's Clovis Culture (2012)
DOCUMENT Full-Text David Vlcek.

Review of Across Atlantic Ice: The Origin of America's Clovis Culture


Risky business: the impact of climate variability on human populations in Western Europe during the Last Glacial Maximum. (2016)
DOCUMENT Citation Only Ariane Burke. Masa Kageyama. Guillaume Latombe. Mathieu Vrac. Patrick James.

The extent to which climate change has affected the course of human evolution is an enduring question. The ability to maintain spatially extensive social networks and fluid social structure allow human foragers to “map onto” the landscape, mitigating the impact of resource fluctuation. Together, these adaptations confer resilience in the face of climate change – but what are the limits of this resilience and what is the role played by climate variability? We address this question by testing how...


The social consequences of climate-driven changes in the spatial distribution of human populations during the Last Glacial Maximum (LGM). (2017)
DOCUMENT Citation Only Ariane Burke. Colin D. Wren. Julien Riel-Salvatore.

Risk-reducing strategies allow humans to manage ecological risk while minimising disruptions. Unpredictable resource fluctuations, i.e. ecological risk, are driven by a combination of climate conditions and climate variability. Under extreme conditions reduction strategies may fail, however, forcing a reorganisation of the social and economic structure of affected populations, as well as their technological systems. Risky conditions during the LGM, for example, affected the spatial distribution...