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| Neolithic farmers [Credit: stiintasitehnica] |
Despite decades of research into this major human advancement, scientists still don't know what propelled it.
The recent work of a research team led by Arizona State University postdoc Isaac Ullah narrows the mystery by showing what variables might have affected the transition.
Ullah is an archaeologist in the School of Human Evolution and Social Change in the College of Liberal Arts and Sciences. Most of his research uses dynamical systems theory (DST) and centers on understanding the ways in which human societies changed with the advent of plant and animal domestication.
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| A time series of stability landscapes crossing over a critical transition point [Credit: PNAS] |
For Ullah, DST provided a way around the obstacles researchers have historically faced in defining the origins of domestication: the transition occurred long ago; much of the evidence for the impetus for the transition was not preserved in the archaeological record; and the transition didn't occur everywhere or all at once and seems to have been quite different -- involving different crops and animals -- in the places where it did occur.
Ullah's team approached the ethnographic record of human subsistence from the perspective that human subsistence systems are complex adaptive systems, or systems composed of many interrelated parts that react to and interact with their environment.
The main phenomena they hoped to find were 'attractors' and 'repellers.' In DST, an attractor is a combination of variable states that is relatively stable over time, whereas a repeller is a combination of variable states that is not.
"In other words," Ullah explains, "DST tells us that there ought to be some combinations of subsistence behaviors and environmental characteristics that are generally stable and some that aren't."
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| The adaptive cycle plotted as a time series graph [Credit: PNAS] |
What was even more interesting to the team was that they began to see that the clustering was largely controlled by a small number of important variables, such as resource density, mobility and population size.
The team discovered that changes in these variables brought some attractors closer together, created new ones or eliminated others.
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| Diagram of potential trajectories of an adaptive system over time [Credit: PNAS] |
"It is this specific insight that may help to explain why the transition to food production happened in some times and places but not in others, why it happened so differently in all these places and at different times and rates," Ullah states.
Source: Arizona State University [July 22, 2015]










