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This paper presents the results from a palaeoecological study to establish the impact of prehistoric human activity and climate change on the vegetation and soils of the Goualougo area of the Nouabalé-Ndoki National Park, in the Republic of Congo (Congo-Brazzaville). This is a region that is known from previous work (through evidence of pottery, furnaces and charcoal layers beneath the present day rainforest vegetation) to have had prehistoric settlement dating back to at least 2000 calibrated years before present. In addition, there is climatic evidence to suggest that significant variations in precipitation have occurred in central Africa over the last few millennia. Presently, the region is covered in uninhabited moist semi-evergreen rainforest. Key research questions addressed in this paper include the extent to which the present-day composition of rainforest in this region is as a result of processes of the past (climate change and/or human activity), and the resilience of the rainforest to these perturbations. Statistical analyses of pollen, microscopic charcoal and geochemical data are used to determine the relationship over time between vegetation dynamics and climate change, anthropogenic burning and metal smelting. Significant changes in forest composition are linked to burning and climate change but not metallurgy. The strongest influence on the present day composition appears to be related to the increased anthropogenic burning that started approximately 1000 years ago. Results from this study are discussed in terms of their implications for the present and future management of this globally important forested region.

Original publication

DOI

10.1098/rstb.2006.1982

Type

Journal article

Journal

Philos Trans R Soc Lond B Biol Sci

Publication Date

28/02/2007

Volume

362

Pages

229 - 242

Keywords

Agriculture, Biodiversity, Carbon Radioisotopes, Charcoal, Climate, Congo, Conservation of Natural Resources, Fires, History, Ancient, Humans, Monte Carlo Method, Pollen, Population Dynamics, Principal Component Analysis, Soil, Trees, Tropical Climate