Cargando…

Determining the response of African biota to climate change: using the past to model the future

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Willis, K. J., Bennett, K. D., Burrough, S. L., Macias-Fauria, M., Tovar, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3720034/
https://www.ncbi.nlm.nih.gov/pubmed/23878343
http://dx.doi.org/10.1098/rstb.2012.0491
_version_ 1782277927239417856
author Willis, K. J.
Bennett, K. D.
Burrough, S. L.
Macias-Fauria, M.
Tovar, C.
author_facet Willis, K. J.
Bennett, K. D.
Burrough, S. L.
Macias-Fauria, M.
Tovar, C.
author_sort Willis, K. J.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3720034
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-37200342013-09-05 Determining the response of African biota to climate change: using the past to model the future Willis, K. J. Bennett, K. D. Burrough, S. L. Macias-Fauria, M. Tovar, C. Philos Trans R Soc Lond B Biol Sci Articles 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. The Royal Society 2013-09-05 /pmc/articles/PMC3720034/ /pubmed/23878343 http://dx.doi.org/10.1098/rstb.2012.0491 Text en http://creativecommons.org/licenses/by/3.0/ © 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Willis, K. J.
Bennett, K. D.
Burrough, S. L.
Macias-Fauria, M.
Tovar, C.
Determining the response of African biota to climate change: using the past to model the future
title Determining the response of African biota to climate change: using the past to model the future
title_full Determining the response of African biota to climate change: using the past to model the future
title_fullStr Determining the response of African biota to climate change: using the past to model the future
title_full_unstemmed Determining the response of African biota to climate change: using the past to model the future
title_short Determining the response of African biota to climate change: using the past to model the future
title_sort determining the response of african biota to climate change: using the past to model the future
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3720034/
https://www.ncbi.nlm.nih.gov/pubmed/23878343
http://dx.doi.org/10.1098/rstb.2012.0491
work_keys_str_mv AT williskj determiningtheresponseofafricanbiotatoclimatechangeusingthepasttomodelthefuture
AT bennettkd determiningtheresponseofafricanbiotatoclimatechangeusingthepasttomodelthefuture
AT burroughsl determiningtheresponseofafricanbiotatoclimatechangeusingthepasttomodelthefuture
AT maciasfauriam determiningtheresponseofafricanbiotatoclimatechangeusingthepasttomodelthefuture
AT tovarc determiningtheresponseofafricanbiotatoclimatechangeusingthepasttomodelthefuture