C Michael Barton

Dr. C Michael Barton


Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2019 in Science
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Journal Article
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LSLucas Stephens
Lucas Stephens
DFDorian Fuller
Dorian Fuller
NBNicole Boivin
Nicole Boivin
TRTorben Rick
Torben Rick
NGNicolas Gauthier
Nicolas Gauthier
Erle EllisErle Ellis
Erle Ellis
A synthetic history of human land use: Humans began to leave lasting impacts on Earth's surface starting 10,000 to 8000 years ago. Through a synthetic collaboration with archaeologists around the globe, Stephens et al. compiled a comprehensive picture of the trajectory of human land use worldwide during the Holocene (see the Perspective by Roberts). Hunter-gatherers, farmers, and pastoralists transformed the face of Earth earlier and to a greater extent than has been widely appreciated, a transformation that was essentially global by 3000 years before the present. Science , this issue p. 897 ; see also p. 865

1 September 2009 in Evolutionary Anthropology: Issues, News, and Reviews
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KHKim Hill
Kim Hill
CBC Michael Barton
C Michael Barton
AHA. Magdalena Hurtado
A. Magdalena Hurtado
Although scientists are aware that humans share the same biological heritage as do all other organisms on the planet, the reliance ofHomo sapienson culture and cooperation has resulted in what can best be described as “a spectacular evolutionary anomaly.”1:11The extra‐somatic adaptations, technological dominance, and success of our species in colonizing every terrestrial habitat have no parallel.2Moreover,Homo sapiensaccounts for about eight times as much biomass as do all other terrestrial wild vertebrates combined,3an amount equivalent to the biomass of all 14,000+ species of ants,4the most successful terrestrial invertebrates. Human societies are complex, with more specialized economic niches in the United States than the total number of mammalian species on the planet.5While some might suggest that only post‐industrial humans achieved stunning biological success, data suggest that humans living as hunter‐gatherers would have attained a world population of more than 70 million individuals6and a total biomass greater than that of any other large vertebrate on the planet if agriculture had not been repeatedly invented as they spread.

1 April 2004 in American Antiquity
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Journal Article
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JRJulien Riel-Salvatore
Julien Riel-Salvatore
CBC Michael Barton
C Michael Barton
This paper proposes a new methodology to study prehistoric lithic assemblages in an attempt to derive from that facet of prehistoric behavior the greater technoeconomic system in which it was embedded. By using volumetric artifact density and the frequency of retouched pieces within a given lithic assemblage, it becomes possible to identify whether these stone tools were created by residentially mobile or logistically organized foragers. The linking factor between assemblage composition and land-use strategy is that of curation within lithic assemblages as an expression of economizing behavior. This method is used to study eight sites from southeastern Italy to detect changes in adaptation during the Late Pleistocene. We compare and contrast Mousterian, Uluzzian, proto-Aurignacian and Epigravettian assemblages, and argue that the first three industries overlap considerably in terms of their technoeconomic flexibility. Epigravettian assemblages, on the other hand, display a different kind of land-use exploitation pattern than those seen in the earlier assemblages, perhaps as a response to deteriorating climatic conditions at the Last Glacial Maximum. While we discuss the implications of these patterns in the context of modern human origins, we argue that the methodology can help identify land-use patterns in other locales and periods.

1 June 2014 in Journal of Archaeological Science
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Journal Article
Closed access
CBC Michael Barton
C Michael Barton
JRJulien Riel-Salvatore
Julien Riel-Salvatore

26 June 2018 in Earth System Dynamics
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Derek T. RobinsonDerek T. Robinson
Derek T. Robinson
AVAlan V. Di Vittorio
Alan V. Di Vittorio
PAPeter Alexander
Peter Alexander
AAAlmut Arneth
Almut Arneth
CBC Michael Barton
C Michael Barton
PVPeter H. Verburg
Peter H. Verburg
The unprecedented use of Earth's resources by humans, in combination with increasing natural variability in natural processes over the past century, is affecting the evolution of the Earth system. To better understand natural processes and their potential future trajectories requires improved integration with and quantification of human processes. Similarly, to mitigate risk and facilitate socio-economic development requires a better understanding of how the natural system (e.g. climate variability and change, extreme weather events, and processes affecting soil fertility) affects human processes. Our understanding of these interactions and feedback between human and natural systems has been formalized through a variety of modelling approaches. However, a common conceptual framework or set of guidelines to model human–natural-system feedbacks is lacking. The presented research lays out a conceptual framework that includes representing model coupling configuration in combination with the frequency of interaction and coordination of communication between coupled models. Four different approaches used to couple representations of the human and natural system are presented in relation to this framework, which vary in the processes represented and in the scale of their application. From the development and experience associated with the four models of coupled human–natural systems, the following eight lessons were identified that if taken into account by future coupled human–natural-systems model developments may increase their success: (1) leverage the power of sensitivity analysis with models, (2) remember modelling is an iterative process, (3) create a common language, (4) make code open-access, (5) ensure consistency, (6) reconcile spatio-temporal mismatch, (7) construct homogeneous units, and (8) incorporating feedback increases non-linearity and variability. Following a discussion of feedbacks, a way forward to expedite model coupling and increase the longevity and interoperability of models is given, which suggests the use of a wrapper container software, a standardized applications programming interface (API), the incorporation of standard names, the mitigation of sunk costs by creating interfaces to multiple coupling frameworks, and the adoption of reproducible workflow environments to wire the pieces together.

1 May 2020 in Science
Verified
Journal Article
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CBC Michael Barton
C Michael Barton
MAMarina Alberti
Marina Alberti
DADaniel P. Ames
Daniel P. Ames
JAJo-An Atkinson
Jo-An Atkinson
JBJerad Bales
Jerad Bales
GTGregory Tucker
Gregory Tucker