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Cultural Burning

Published online by Cambridge University Press:  10 May 2024

Bruno David
Affiliation:
Monash University
Michael-Shawn Fletcher
Affiliation:
The University of Melbourne
Simon Connor
Affiliation:
Australian National University
Virginia Ruth Pullin
Affiliation:
The University of Melbourne
Jessie Birkett-Rees
Affiliation:
Monash University
Jean-Jacques Delannoy
Affiliation:
Université Savoie Mont Blanc
Michela Mariani
Affiliation:
University Park
Anthony Romano
Affiliation:
The University of Melbourne
S. Yoshi Maezumi
Affiliation:
Max Planck Institute for Geoanthropology

Summary

This Element addresses a burning question – how can archaeologists best identify and interpret cultural burning, the controlled use of fire by people to shape and curate their physical and social landscapes? This Element describes what cultural burning is and presents current methods by which it can be identified in historical and archaeological records, applying internationally relevant methods to Australian landscapes. It clarifies how the transdisciplinary study of cultural burning by Quaternary scientists, historians, archaeologists and Indigenous community members is informing interpretations of cultural practices, ecological change, land use and the making of place. This title is also available as Open Access on Cambridge Core.

Information

Figure 0

Figure 1 Extent of fires (white) in the Yulpul region. Left: in 1954, when Martu were present and foraged on Country. Centre: in 1973, seven years after all Martu had left the region. Right: in 2000, after the return of Martu on Country in 1985, since when hunting and burning resumed. Remote sensing analysis performed by Rebecca Bliege Bird.

(from Bliege Bird et al. 2016: fig. 9.2)
Figure 1

Figure 2 Martu custodians (from right to left) Nyalangka Taylor, Ngamaru Bidu, and Nyaparu Taylor burn a tract of spinifex grassland, following behind the flames to begin hunting for sand goanna.

(photo by Rebecca Bliege Bird, Parnngurr region, 2014)
Figure 2

Figure 3 The effect of fire on the mosaic of vegetation succession in the Martu homelands. The stand ignition map shows the cumulative effect of both Martu and lightning fires between 2000 and 2010. Fires were visually detected and hand-digitised using a ration of Landsat 7 infrared bands 7 and 5. Light colours indicate more recent fires; dark shades indicate older fires. Regions across the study area are stratified into four categories of foraging intensity from 4,106 adult foraging hours observed between 2000 and 2010. Category 1 includes regions with 0−0.05 forager days/km2; 2 = 0.06–0.25 forager days/km2; 3 = 0.26−2 forager days/km2; 4 =>2 forager days/km2. A) The number of patches at different stages of vegetative succession/km2 regressed by foraging intensity. B) Shows the number of old-growth patches (patches that remained unburned)/km2 regressed by foraging intensity.

(after Bird et al. 2016b: fig. 3)
Figure 3

Figure 4 Eugene von Guérard (artist) and Hamel & Ferguson (printer), Crater of Mount Eccles, Victoria 1867, colour lithograph, 50.6 × 68.7 cm. Plate 16 from Eugéne von Guérard’s Australian Landscapes 1866–1868.

(courtesy of National Gallery of Victoria, Melbourne)
Figure 4

Figure 5 Eugene von Guérard, Tower Hill 1855, oil on canvas, 68.6 × 122.0 cm. Warrnambool Art Gallery, Victoria.

(courtesy of Warrnambool Art Gallery)
Figure 5

Figure 6 The process for estimating the amount of biomass burned in a past landscape from charcoal particles preserved in lake and wetland sediments. A sediment core is collected, representing a timeline of environmental change for the surrounding area. Charcoal particles are then extracted from the sediment using sieving and chemical treatments. Particles are counted to determine the charcoal concentration for each sample. Using an age-depth model, the rate of charcoal accumulation can be estimated. Low charcoal accumulation rates mean low levels of biomass burned, whereas high rates reflect high levels of biomass burned.

Figure 6

Figure 7 Combining multiple charcoal records into a regional trend of biomass burned. Charcoal accumulation rates are statistically transformed (z-scores) prior to averaging to aid comparison.

Figure 7

Figure 8 Estimating past fire frequency using charcoal preserved in sediments. Charcoal is sampled contiguously so that no fire events/episodes are missed. The data are then interpolated to even time steps and a smoother is added to model the long-term trend. Any peaks above the 95% confidence intervals are identified as fire events/episodes. The recurrence of these events/episodes through time helps to reconstruct past fire frequency.

Figure 8

Figure 9a) calibration relies on igniting plant samples at different temperatures and measuring the FTIR spectra of the charcoal produced.

Figure 9

Figure 9b) reconstruction relies on extracting and measuring the FTIR spectra of fossil charcoal and using the calibration data to infer past fire temperature and, by extension, the prevalence of ‘cool’ cultural burning.

Figure 10

Figure 10 Charcoal morphology. Grass charcoal has a distinctly elongated shape, allowing researchers to reconstruct the contribution of grassy fuels to past fires. In certain landscapes, the ratio of grassy to woody/leafy fuels could indicate whether the fires were canopy or understorey fires, or whether areas of grassland or forest were being burned.

Figure 11

Figure 11a) in appropriate trees, fire scars can be precisely dated by counting annual growth rings.

Figure 12

Figure 11b) by putting together the dates of fire scars from various trees, a fire history for a particular cultural landscape can be reconstructed.

Figure 13

Figure 12 Vegetation cover in the past can be reconstructed using calibration and modelling. Calibration relies on multiple pollen samples and vegetation surveys collected in the present-day environment to determine the relationship between plants and pollen. In this way, high pollen producers (such as wind-pollinating species) can be downweighted compared to low pollen producers (like insect-pollinating species). Modelling allows a pollen record through time to be converted into reconstructed vegetation, potentially revealing cultural landscapes (e.g. Mariani et al. 2017, 2022).

Figure 14

Figure 13 The Furneaux Group, showing the location of all archaeological and pollen sites from which radiocarbon ages have been obtained (artwork by CartoGIS Services, College of Asia and the Pacific, Australian National University).

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