| Literature DB >> 34848788 |
Christopher M Wurster1,2, Cassandra Rowe3,4, Costijn Zwart3,4, Dirk Sachse5, Vladimir Levchenko6, Michael I Bird3,4.
Abstract
Fire is an essential component of tropical savannas, driving key ecological feedbacks and functions. Indigenous manipulation of fire has been practiced for tens of millennia in Australian savannas, and there is a renewed interest in understanding the effects of anthropogenic burning on savanna systems. However, separating the impacts of natural and human fire regimes on millennial timescales remains difficult. Here we show using palynological and isotope geochemical proxy records from a rare permanent water body in Northern Australia that vegetation, climate, and fire dynamics were intimately linked over the early to mid-Holocene. As the El Niño/Southern Oscillation (ENSO) intensified during the late Holocene, a decoupling occurred between fire intensity and frequency, landscape vegetation, and the source of vegetation burnt. We infer from this decoupling, that indigenous fire management began or intensified at around 3 cal kyr BP, possibly as a response to ENSO related climate variability. Indigenous fire management reduced fire intensity and targeted understory tropical grasses, enabling woody thickening to continue in a drying climate.Entities:
Year: 2021 PMID: 34848788 PMCID: PMC8632886 DOI: 10.1038/s41598-021-02618-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Map of study area showing location of Girraween Lagoon (blue circle) near to Darwin (black diamond). Figure created in in R (Version 4.0.0, https://www.r-project.org/) using regional fire frequency where ‘Years Burnt’ identifies the number of years a given polygon has been detected as being burnt over the 20-year period of 2000–2019[17].
Figure 2Multi-proxy diagram showing change in SPAC (stable polycyclic aromatic carbon) mass accumulation rate (as a proxy for fire intensity), charcoal particle count (as a proxy for fire frequency), the fraction of grass relative to total terrestrial pollen counts (as a proxy for vegetation), δ13CSPAC values (as a proxy for source of burning), and δD values of n-C27 and n-C29 alkanes (as a proxy for monsoon strength) from core GIR2 over the Holocene. The most recent sample for MARSPAC (326 μg cm−2 yr−1) is removed as it represents European induced fire regime. Also shown are Generalized additive models (GAMs) as a blue line through the GIR2 data with confidence levels (significance = 0.9) shaded. Corresponding right panels show first derivatives calculated from the GAM splines. Significant positive (negative) trends are highlighted in red (blue) with significance set to 0.975.
Pearson’s correlation coefficients (r) for covariates.
| Covariate | Covariate | Early to mid (> 3kyr BP) | Late (< 3 kyr BP) |
|---|---|---|---|
| δ13CSPAC | 0.74, | − 0.17, | |
| MARSPAC | 0.68, | 0.00, | |
| 0.71, | − 0.26, | ||
| CHAR | − 0.69, | − 0.60, | |
| MARSPAC | 0.55, | − 0.90, P < 0.001** | |
| 0.78, | − 0.67, | ||
| CHAR | − 0.66, | − 0.47, | |
| MARSPAC | 0.42, | 0.57, | |
| CHAR | 0.24, | 0.49, | |
| CHAR | − 0.62, | 0.68, |
**Indicates significance at 0.01, *indicates significance at 0.05. δDwax is the average δD value of n-C27 and n-C29 n-alkane, fGrass is the fraction of terrestrial grass that is Poaceae, CHAR is the charcoal particle flux, and MARSPAC indicates Stable Polyclyclic Aromatic Carbon (see text for details).
Figure 3Change in charcoal particle count Z-score over the Holocene with colour mapped according to the Z-score of the mass accumulation rate of SPAC. The most recent sample, representative of a European-induced fire regime is removed from the colour gradient and represented as grey, due to its much higher Z-score (SPAC) of 6.5.