Orbital-Scale Climate Forcing of Grassland Burning in Southern Africa

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Orbital-Scale Climate Forcing of Grassland Burning in Southern Africa Orbital-scale climate forcing of grassland burning in southern Africa Anne-Laure Daniaua,b,c,1, Maria Fernanda Sánchez Goñib, Philippe Martineza, Dunia H. Urregoa,b,c, Viviane Bout-Roumazeillesd, Stéphanie Despratb, and Jennifer R. Marlone aCentre National de la Recherche Scientifique (CNRS), Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Unité Mixte de Recherche (UMR) 5805, Université Bordeaux 1, F-33400 Talence, France; bEcole Pratique des Hautes Etudes (EPHE), EPOC, UMR 5805, F-33400 Talence, France; and cCNRS, de la Préhistoire à l’Actuel: Culture, Environnement et Anthropologie (PACEA), UMR 5199, F-33400 Talence, France; dGéosystèmes UMR 8217 CNRS, Sciences de la Terre, Université Lille 1, 59655 Villeneuve d’Ascq, France; and eSchool of Forestry and Environmental Studies, Yale University, New Haven, CT 06511 Edited by William F. Ruddiman, University of Virginia, Charlottesville, VA, and accepted by the Editorial Board February 12, 2013 (received for review August 17, 2012) Although grassland and savanna occupy only a quarter of the rainfall, and vegetation changes to identify the primary controls world’s vegetation, burning in these ecosystems accounts for on biomass burning over the past 170,000 y. roughly half the global carbon emissions from fire. However, the There are two major types of fire-prone vegetation in southern processes that govern changes in grassland burning are poorly Africa: eastern grasslands and southwestern fynbos (Mediterra- understood, particularly on time scales beyond satellite records. nean evergreen hard-leaved scrub). Fire is absent from the desert We analyzed microcharcoal, sediments, and geochemistry in and semidesert regions (Fig. 1). The eastern half of southern a high-resolution marine sediment core off Namibia to identify Africa and the northern Cape regions, Namibia, and Botswana the processes that have controlled biomass burning in southern are dominated by arid savanna and grasslands that support sur- African grassland ecosystems under large, multimillennial-scale cli- face fires (9) (Fig. 1). These regions are under the influence of mate changes. Six fire cycles occurred during the past 170,000 y in the Intertropical Convergence Zone (ITCZ), and their climatic southern Africa that correspond both in timing and magnitude to regime is modulated by the South African monsoon, which the precessional forcing of north–south shifts in the Intertropical brings rainfall during the austral summer (November–March) SCIENCES Convergence Zone. Contrary to the conventional expectation that (11). Surface fires occur mainly during the peak of the dry season ENVIRONMENTAL fire increases with higher temperatures and increased drought, we from July to September (austral winter) and are highly de- found that wetter and cooler climates cause increased burning in pendent on the accumulated rainfall of the previous 2 y (which the study region, owing to a shift in rainfall amount and season- drives fuel loads), as well as on marked rainfall seasonality (i.e., ality (and thus vegetation flammability). We also show that char- a limited number of months with rainfall) (9). In general, the coal morphology (i.e., the particle’s length-to-width ratio) can be seasonality causes fuel build-up during the wet austral summers used to reconstruct changes in fire activity as well as biome shifts and increased fuel flammability during dry winters. Ignitions in over time. Our results provide essential context for understanding the region come from both lightning and humans today, but current and future grassland-fire dynamics and their associated lightning alone would provide an ample source of ignitions for carbon emissions. fires even in the absence of humans (12). In the southern and southwestern regions (western Cape), arge changes in the spatiotemporal patterns of wildfires in winter-rainfall fynbos provide woody fuels that support crown Lrecent decades raise concerns about how future changes in fires during the dry season of the western Cape (i.e., from De- fire might interact with climate change and human activities (1, cember to February), corresponding to the wet austral summer 2). Africa is the most fire-prone continent, and southern Africa is period when precipitation mainly falls in the eastern part of recognized as a climate change and biodiversity hotspot (3, 4). southern Africa. These fires burn dense sclerophyllous shrubs Under global warming, fire risk is projected to increase by the and small trees. They are most likely to occur after exceptional end of the 21st century in this region owing to a rise in tem- weather conditions, especially prolonged drought (9, 13, 14). fi peratures and austral winter dryness (5, 6). Projected wildfires, Large res are common in savanna and grassland, but in- however, vary substantially depending on the general circula- creasingly fragmented vegetation induced by human activities fi tion model (GCMs) and Intergovernmental Panel on Climate reduces landscape connectivity and wild re occurrences in these Change (IPCC) emission scenarios used (6). GCMs seldom take vegetation types (15). into account vegetation adjustments to climate changes, yet such Results and Discussion changes are vital for projecting reliable shifts in fuels and thus fi fire activity (6). Under increased aridity, for example, longer or Microcharcoal belongs to the ne sediment fraction and is more frequent droughts may promote burning in ecosystems that transported by winds and river plumes from southern African are not fuel limited. However, vegetation shifts toward fuel- combustion sites to the Atlantic Ocean. The main source of limited communities may reduce fire activity in the same region microcharcoal is not well constrained but is very likely limited to ’ (7, 8). southern Africa below 20°S. The Orange River s hydrographic Currently there are no empirical data to support the idea that a warming and drying climate would lead to an increase in bio- mass burning in southern Africa. In fact, a number of remotely Author contributions: A.-L.D. and M.F.S.G. designed research; A.-L.D. performed research; fi A.-L.D., P.M., and V.B.-R. contributed new reagents/analytic tools; A.-L.D., M.F.S.G., P.M., sensed data indicate that wetter periods result in increased re D.H.U., V.B.-R., S.D., and J.R.M. analyzed data; and A.-L.D., M.F.S.G., P.M., D.H.U., V.B.-R., in this region (8–10). To address this question, we examined S.D., and J.R.M. wrote the paper. microcharcoal from a marine sediment record that accumulated The authors declare no conflict of interest. during the past two climatic cycles off southwestern Africa and This article is a PNAS Direct Submission. W.F.R. is a guest editor invited by the covers several past warm periods. We analyzed the sediment to Editorial Board. confirm that variations in microcharcoal concentrations reflect 1To whom correspondence should be addressed. E-mail: [email protected]. biomass burning rather than transportation or depositional pro- This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. cesses. We then compared the fire data with orbital parameters, 1073/pnas.1214292110/-/DCSupplemental. www.pnas.org/cgi/doi/10.1073/pnas.1214292110 PNAS Early Edition | 1of5 Downloaded by guest on September 25, 2021 10° 20° 30° 40° from either biogenic or terrigenous material do not significantly control microcharcoal concentrations variability. Today the Or- ange River is the primary source of smectite and kaolinite (23), whereas illite is transported by winds (23) toward the oceanic region where MD96-2098 was retrieved. Clay analyses (Fig. 2D) Namib desert -20° -20° show that similar illite/smectite ratios are either associated with 500 Kalahari 3000 peaks or troughs of microcharcoal concentration (i.e., micro- desert charcoal concentration variation is independent of changes in wind transport or river supply). As a result, variations in micro- fl MD96-2098 charcoal concentrations seem to re ect microcharcoal production Orange River and henceforth are interpreted as faithful records of changes in -30° -30° biomass burning and fire activity in southern Africa. The morphometric analysis showed that more elongated par- ticles are prevalent during periods of high fire activity. The mean elongation ratio is approximately 1.82 for high fire activity compared with approximately 1.65 for low activity (Fig. 2E, CCnb vs. elongation ratio, r = 0.4, P < 0.001). More elongated particles are found also during precession maxima (elongation 10° 20° 30° 40° ratio vs. precession, r = 0.71, P < 0.001). During a fire, charcoal Absence of fire Vegetation fragmentation occurs along axes derived from the anatomical Mediterranean evergreen forest hard-leaf scrub Semi-desert structure of plant species. The elongation degree is preserved Desert even when the particle is broken (24). Experimental analysis Steppe (grass, brush, and thicket) Brush-grass savanna conducted on burned grasses and wood from North America Deciduous forest-woodland savanna showed that charcoal from grasses has a greater elongation ratio Montane forest-tundra than charcoal derived from wood (24). We thus infer that the Temperate grassland and mountain grassland East Africa coastal forest increase in the mean elongation of microcharcoal particles is an indicator of low-intensity fires spreading in grass-dominated Fig. 1. Map of southern Africa with the location of marine core MD96- ’ fueled environments. An input of microcharcoal from fynbos 2098, the Orange River s hydrographic basin (dashed blue line), and sim- fires is negligible, owing to the absence of a clear correspondence plified vegetation distribution, after ref. 48. Arrows indicate mean annual wind direction (redrawn from National Centers for Environmental Pre- between increased biomass burning and Restionaceae pollen diction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis, percentages (mainly found in fynbos) from the close core mean annual 850-mb vector wind calculated over 1948–2012, www.esrl. GeoB1711 in the Atlantic Ocean (25) (Fig. S3). noaa.gov/psd/). Black dashed arrow indicates the Benguela current (17).
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