| Literature DB >> 18267912 |
Francis E Mayle1, Mitchell J Power.
Abstract
This paper uses a palaeoecological approach to examine the impact of drier climatic conditions of the Early-Mid-Holocene (ca 8000-4000 years ago) upon Amazonia's forests and their fire regimes. Palaeovegetation (pollen data) and palaeofire (charcoal) records are synthesized from 20 sites within the present tropical forest biome, and the underlying causes of any emergent patterns or changes are explored by reference to independent palaeoclimate data and present-day patterns of precipitation, forest cover and fire activity across Amazonia. During the Early-Mid-Holocene, Andean cloud forest taxa were replaced by lowland tree taxa as the cloud base rose while lowland ecotonal areas, which are presently covered by evergreen rainforest, were instead dominated by savannahs and/or semi-deciduous dry forests. Elsewhere in the Amazon Basin there is considerable spatial and temporal variation in patterns of vegetation disturbance and fire, which probably reflects the complex heterogeneous patterns in precipitation and seasonality across the basin, and the interactions between climate change, drought- and fire susceptibility of the forests, and Palaeo-Indian land use. Our analysis shows that the forest biome in most parts of Amazonia appears to have been remarkably resilient to climatic conditions significantly drier than those of today, despite widespread evidence of forest burning. Only in ecotonal areas is there evidence of biome replacement in the Holocene. From this palaeoecological perspective, we argue against the Amazon forest 'dieback' scenario simulated for the future.Entities:
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Year: 2008 PMID: 18267912 PMCID: PMC2374889 DOI: 10.1098/rstb.2007.0019
Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN: 0962-8436 Impact factor: 6.237
Figure 1Maps showing site locations, distribution of forest types, tree cover, precipitation patterns and fire regime across the Amazon Basin. Amazonian forests are delimited by a solid black boundary line, which encompasses not only humid evergreen rainforests in the lowland basin and Guyana Shield but also semi-deciduous Chiquitano dry forests in the south and all forest types on the eastern flank of the Andes. WorldClim bioclimatic variables (Hijmans ) of (a) annual precipitation and (b) precipitation of the driest quarter (driest three months) characterize present-day climatic variability across the Amazon. (c) Ecoregions (Olson ) are shown for all forested areas. (d) The per cent tree cover map (Defries ) illustrates the relative forest cover (available biomass) across the Amazon. (e) Simulated variations in historical (twentieth century) fire return intervals across the Amazon using LPJ-DGVM (Thonicke ). Palaeovegetation and charcoal sites are shown by white circles; palaeoclimate sites are shown by white crosses.
Figure 2Palaeoprecipitation proxy data from selected sites from the tropical Andes. January insolation at 15° S latitude (Berger 1992) is shown in relation to: the Sajama ice core records (Thompson ) of dust particles above 0.63 μm ml−1 and snow accumulation; lake-level changes as measured by δ13C at Lake Titicaca (Abbott ); and Lake Junin precipitation inferred from δ18O of calcite (Seltzer ).
Figure 3Age–depth curves for all sites discussed in the text ((a) lowland ecotonal sites, (b) southern sites, (c) eastern sites, (d) western and central sites and (e) Andean sites). Diamonds represent core-top samples and radiocarbon ages (calibrated years BP; Fairbanks ). Asterisks denote sites where the authors' original age–depth model was used (solid line). For the remaining sites, age models were created by linear interpolation between dates. The dashed line indicates 6000 years BP, peak aridity at Lake Titicaca.
Figure 4Palaeovegetation records, based upon previously published pollen data (see table 1 for site metadata), are presented in schematic cartoon form to illustrate the dominant changes (or lack thereof) in biome, forest type and/or species composition, in such a way as to illustrate the key vegetation responses and optimize inter-site comparisons. Site groupings are as follows: (a) lowland ecotonal sites, (b) southern sites, (c) eastern sites, (d) western and central sites and (e) Andean sites. Raw charcoal data are presented, which were obtained from the Global Charcoal Database (Power et al. in press; http://www.bridge.bris.ac.uk/projects/QUEST_IGBP_Global_Palaeofire_WG). Asterisks denote horizons where charcoal was recorded, but not quantified. Where no charcoal is shown for a site, this is because either charcoal was searched for but none was found (Consuelo and Pata) or charcoal was not searched for (Loma Linda, Chenevo, Maxus-4 and Calado).
Site metadata.
| site name | latitude | longitude | elevation (m) | country | local vegetation | ecoregion | investigator |
|---|---|---|---|---|---|---|---|
| Junin | −11.0000 | −75.0000 | 5700 | Peru | Peruvian Yungas | ||
| Titicaca | −16.1344 | −69.1553 | 3810 | Bolivia/Peru | Central Andean wet puna | ||
| Sajama ice cap | −18.1000 | −68.8833 | 6542 | Bolivia | Central Andean dry puna | ||
| lowland ecotonal sites | |||||||
| Chaplin | −14.4667 | −61.0667 | 200 | Bolivia | humid rainforest | Madeira–Tapajós moist forests | |
| Bella Vista | −13.6167 | −61.5500 | 190 | Bolivia | humid rainforest | Madeira–Tapajós moist forests | |
| Carajas | −6.5833 | −49.5000 | 750 | Brazil | humid rainforest/savannah | Xingu–Tocantins–Araguaia moist forests | |
| Loma Linda | 3.3000 | −73.3833 | 310 | Colombia | gallery forest/savannah | Apure–Villavicencio dry forests | |
| Chenevo | 4.0833 | −70.3500 | 150 | Colombia | gallery forest/savannah | Negro–Branco moist forests | |
| southern sites | |||||||
| Parker | −12.1406 | −69.0215 | 276 | Peru | humid rainforest | Southwest Amazon moist forests | |
| Gentry | −12.1773 | −69.0977 | 258 | Peru | humid rainforest | Southwest Amazon moist forests | |
| eastern sites | |||||||
| Saracuri | −1.6788 | −53.5703 | 18 | Brazil | humid rainforest | Uatuma–Trombetas moist forests | |
| Santa Maria | −1.5783 | −53.6054 | 17 | Brazil | humid rainforest | Uatuma–Trombetas moist forests | |
| Tapajos | −2.7758 | −55.0828 | 15 | Brazil | humid rainforest | Madeira–Tapajós moist forests | |
| Comprida | −1.6249 | −53.9996 | 130 | Brazil | humid rainforest | Uatuma–Trombetas moist forests | |
| Geral | −1.6469 | −53.5955 | 130 | Brazil | humid rainforest | Uatuma–Trombetas moist forests | Bush |
| Rio Curua | −1.7347 | −51.4549 | 3 | Brazil | Xingu–Tocantins–Araguaia moist forests | ||
| western and central sites | |||||||
| Pata | 0.2667 | −66.0667 | 300 | Brazil | humid rainforest | Negro–Branco moist forests | Bush |
| Calado | −3.2667 | −60.5833 | 23 | Brazil | Japurá–Solimoes–Negro moist forests | ||
| Maxus-4 | −0.4500 | −76.6166 | 3 | Ecuador | humid rainforest | Napo moist forests | |
| Andean sites | |||||||
| Chochos | −7.6363 | −77.4746 | 3285 | Peru | sub-paramo/sub-Andean forest | Peruvian Yungas | |
| La Teta-2 | 3.0833 | −76.5333 | 1020 | Colombia | disturbed forest | Cauca Valley dry forests | |
| Surucucho | −3.0625 | −78.0000 | 3180 | Ecuador | sub-paramo/sub-Andean forest | Napo moist forests | |
| Consuelo | −13.9500 | −68.9833 | 1360 | Peru | cloud forest | Bolivian Yungas | |