BIOME 6000: reconstructing global mid-Holocene vegetation patterns from palaeoecological records

Citation
Ic. Prentice et T. Webb, BIOME 6000: reconstructing global mid-Holocene vegetation patterns from palaeoecological records, J BIOGEOGR, 25(6), 1998, pp. 997-1005
Citations number
44
Categorie Soggetti
Environment/Ecology
Journal title
JOURNAL OF BIOGEOGRAPHY
ISSN journal
03050270 → ACNP
Volume
25
Issue
6
Year of publication
1998
Pages
997 - 1005
Database
ISI
SICI code
0305-0270(199811)25:6<997:B6RGMV>2.0.ZU;2-7
Abstract
Global change research needs data sets describing past states of the Earth system. Vegetation distributions for specified 'time slices' (with known fo rcings, such as changes in insolation patterns due to the Earth's orbital v ariations, changes in the extent of ice-sheets, and changes in atmospheric trace-gas composition) should provide a benchmark for coupled climate-biosp here models. Pollen and macrofossil records from dated sediments give spati ally extensive coverage of data on vegetation distribution changes. Applica tions of such data have been delayed by the lack of a global synthesis. The BIOME 6000 project of IGBP aims at a synthesis for 6000 years sp. Success depends on community-wide participation for data compilation and quality as surance, and on a robust methodology for assigning palaeorecords to biomes. In the method summarized here, taxa are assigned to one or more plant func tional types (PFTs) and biomes reconstructed using PFT-based definitions. B y involving regional experts in PFT assignments, one can combine data from different floras without compromising global consistency in biome assignmen ts. This article introduces a series of articles that substantially extend the BIOME GOOD data set. The list of PFTs and the reconstruction procedure itself are evolving. Some compromises (for example, restricted taxon lists in some regions) limit the precision of biome assignments and will become o bsolete as primary data are put into community data bases. This trend will facilitate biome mapping for other time slices. Co-evolution of climate-bio sphere modelling and palaeodata synthesis and analysis will continue.