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Determining the response of African biota to climate change : using the past to model the future
- Willis, K. J. (author)
-
- Bennett, Keith D. (author)
- Uppsala universitet,Paleobiologi
- Burrough, S. L. (author)
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- Macias-Fauria, M. (author)
- Tovar, C. (author)
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- (creator_code:org_t)
- 2013-09-05
- 2013
- English.
- In: Philosophical Transactions of the Royal Society of London. Biological Sciences. - : The Royal Society. - 0962-8436 .- 1471-2970. ; 368:1625, s. 20120491-
- Research review (peer-reviewed)
Abstract
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- Prediction of biotic responses to future climate change in tropical Africa tends to be based on two modelling approaches: bioclimatic species envelope models and dynamic vegetation models. Another complementary but underused approach is to examine biotic responses to similar climatic changes in the past as evidenced in fossil and historical records. This paper reviews these records and highlights the information that they provide in terms of understanding the local-and regional-scale responses of African vegetation to future climate change. A key point that emerges is that a move to warmer and wetter conditions in the past resulted in a large increase in biomass and a range distribution of woody plants up to 400-500 km north of its present location, the so-called greening of the Sahara. By contrast, a transition to warmer and drier conditions resulted in a reduction in woody vegetation in many regions and an increase in grass/savanna-dominated landscapes. The rapid rate of climate warming coming into the current interglacial resulted in a dramatic increase in community turnover, but there is little evidence for widespread extinctions. However, huge variation in biotic response in both space and time is apparent with, in some cases, totally different responses to the same climatic driver. This highlights the importance of local features such as soils, topography and also internal biotic factors in determining responses and resilience of the African biota to climate change, information that is difficult to obtain from modelling but is abundant in palaeoecological records.
Keyword
- Africa
- ecosystem services
- climate change
- aridity
- precipitation
- palaeoecology
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