Late Quaternary Biomes of Australia, South East Asia and the Pacific (SEAPAC) region
Pickett, E.1, 2*, Harrison, S.P.2, Hope, G.3, Harle, K.4, Dodson, J.R.1, Kershaw, A.P.5, Prentice, I.C.2, Backhouse, J.6, Colhoun, E.A.7, DCosta, D.5, Flenley, J.8, Grindrod, J.5, Haberle, S. 5, Hassell, C.9, Kenyon, C.10, Macphail, M.5, Martin, H.11, Martin, A.H.12, McKenzie, M. 5, Newsome, J.C.13, Penny, D. 5, Powell, J.14, Raine, I.15, Southern, W.16, Sutra, J.P.2, 17, Thomas, I.11, van der Kaars, S. 5 and Ward, J.18
The region encompassing Australia, South East Asia, and the Pacific (SEAPAC) is climatically and physiographically diverse. Understanding the role of long term climatic changes on the evolution of this diverse flora has motivated the reconstruction of its vegetation history using pollen records on a variety of timescales. However, the very diversity of the flora makes it difficult to make objective comparisons between vegetation records from different subregions. Neither do previous palaeo-vegetation syntheses encompass the whole of the SEAPAC region.
This paper represents a first attempt to map the vegetation of the SEAPAC region from pollen data using an objective method based on the recognition of biomes characterised by a unique assemblage of plant functional types (PFTs). The method is broadly successful. Tests using 414 modern pollen surface samples showed that the biomization scheme is capable of reproducing the broad scale patterns of vegetation distribution. The changes in biome distribution at 6ka compared to present are small, implying that the climate of the mid-Holocene was not significantly different from present. The changes in biome distribution at 18ka are more striking, and suggest that the SEAPAC region was drier than today and, at least in the tropics, colder. These reconstructions are consistent with earlier, subjective reconstructions of vegetation and climate changes in the SEAPAC region. This work also extends the current BIOME 6000 (Global Palaeovegetation Mapping Project) synthesis and provides a unique data set for the evaluation of climate and earth system models.