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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,...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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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 |
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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 |
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