Cargando…

Modelling the impact of climate change on woody plant population dynamics in South African savanna

BACKGROUND: In Southern Africa savannas climate change has been proposed to alter rainfall, the most important environmental driver for woody plants. Woody plants are a major component of savanna vegetation determining rangeland condition and biodiversity. In this study we use a spatially explicit,...

Descripción completa

Detalles Bibliográficos
Autores principales: Tews, Jörg, Jeltsch, Florian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC544358/
https://www.ncbi.nlm.nih.gov/pubmed/15606921
http://dx.doi.org/10.1186/1472-6785-4-17
_version_ 1782122138728136704
author Tews, Jörg
Jeltsch, Florian
author_facet Tews, Jörg
Jeltsch, Florian
author_sort Tews, Jörg
collection PubMed
description BACKGROUND: In Southern Africa savannas climate change has been proposed to alter rainfall, the most important environmental driver for woody plants. Woody plants are a major component of savanna vegetation determining rangeland condition and biodiversity. In this study we use a spatially explicit, stochastic computer model to assess the impact of climate change on the population dynamics of Grewia flava, a common, fleshy-fruited shrub species in the southern Kalahari. Understanding the population dynamics of Grewia flava is a crucial task, because it is widely involved in the shrub/bush encroachment process, a major concern for rangeland management due to its adverse effect on livestock carrying capacity and biodiversity. RESULTS: For our study we consider four climate change scenarios that have been proposed for the southern Kalahari for the coming decades: (1) an increase in annual precipitation by 30–40%, (2) a decrease by 5–15%, (3) an increase in variation of extreme rainfall years by 10–20%, (4) and increase in temporal auto-correlation, i.e. increasing length and variation of periodic rainfall oscillations related to El Niño/La Niña phenomena. We evaluate the slope z of the time-shrub density relationship to quantify the population trend. For each climate change scenario we then compared the departure of z from typical stable population dynamics under current climatic conditions. Based on the simulation experiments we observed a positive population trend for scenario (1) and a negative trend for scenario (2). In terms of the projected rates of precipitation change for scenario (3) and (4) population dynamics were found to be relatively stable. However, for a larger increase in inter-annual variation or in temporal auto-correlation of rainfall population trends were negative, because favorable rainfall years had a limited positive impact due to the limited shrub carrying capacity. CONCLUSIONS: We conclude that a possible increase in precipitation will strongly facilitate shrub encroachment threatening savanna rangeland conditions and regional biodiversity. Furthermore, the negative effects found for positive auto-correlated rainfall support current ecological theory stating that periodically fluctuating environments can reduce population viability because species suffer disproportionately from poor environmental conditions.
format Text
id pubmed-544358
institution National Center for Biotechnology Information
language English
publishDate 2004
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-5443582005-01-14 Modelling the impact of climate change on woody plant population dynamics in South African savanna Tews, Jörg Jeltsch, Florian BMC Ecol Research Article BACKGROUND: In Southern Africa savannas climate change has been proposed to alter rainfall, the most important environmental driver for woody plants. Woody plants are a major component of savanna vegetation determining rangeland condition and biodiversity. In this study we use a spatially explicit, stochastic computer model to assess the impact of climate change on the population dynamics of Grewia flava, a common, fleshy-fruited shrub species in the southern Kalahari. Understanding the population dynamics of Grewia flava is a crucial task, because it is widely involved in the shrub/bush encroachment process, a major concern for rangeland management due to its adverse effect on livestock carrying capacity and biodiversity. RESULTS: For our study we consider four climate change scenarios that have been proposed for the southern Kalahari for the coming decades: (1) an increase in annual precipitation by 30–40%, (2) a decrease by 5–15%, (3) an increase in variation of extreme rainfall years by 10–20%, (4) and increase in temporal auto-correlation, i.e. increasing length and variation of periodic rainfall oscillations related to El Niño/La Niña phenomena. We evaluate the slope z of the time-shrub density relationship to quantify the population trend. For each climate change scenario we then compared the departure of z from typical stable population dynamics under current climatic conditions. Based on the simulation experiments we observed a positive population trend for scenario (1) and a negative trend for scenario (2). In terms of the projected rates of precipitation change for scenario (3) and (4) population dynamics were found to be relatively stable. However, for a larger increase in inter-annual variation or in temporal auto-correlation of rainfall population trends were negative, because favorable rainfall years had a limited positive impact due to the limited shrub carrying capacity. CONCLUSIONS: We conclude that a possible increase in precipitation will strongly facilitate shrub encroachment threatening savanna rangeland conditions and regional biodiversity. Furthermore, the negative effects found for positive auto-correlated rainfall support current ecological theory stating that periodically fluctuating environments can reduce population viability because species suffer disproportionately from poor environmental conditions. BioMed Central 2004-12-17 /pmc/articles/PMC544358/ /pubmed/15606921 http://dx.doi.org/10.1186/1472-6785-4-17 Text en Copyright © 2004 Tews and Jeltsch; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tews, Jörg
Jeltsch, Florian
Modelling the impact of climate change on woody plant population dynamics in South African savanna
title Modelling the impact of climate change on woody plant population dynamics in South African savanna
title_full Modelling the impact of climate change on woody plant population dynamics in South African savanna
title_fullStr Modelling the impact of climate change on woody plant population dynamics in South African savanna
title_full_unstemmed Modelling the impact of climate change on woody plant population dynamics in South African savanna
title_short Modelling the impact of climate change on woody plant population dynamics in South African savanna
title_sort modelling the impact of climate change on woody plant population dynamics in south african savanna
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC544358/
https://www.ncbi.nlm.nih.gov/pubmed/15606921
http://dx.doi.org/10.1186/1472-6785-4-17
work_keys_str_mv AT tewsjorg modellingtheimpactofclimatechangeonwoodyplantpopulationdynamicsinsouthafricansavanna
AT jeltschflorian modellingtheimpactofclimatechangeonwoodyplantpopulationdynamicsinsouthafricansavanna