Arid
DOI10.1111/j.1654-1103.2006.tb02468.x
Long-term mortality patterns of the deep-rooted Acacia erioloba: The middle class shall die!
Moustakas, Aristides; Guenther, Matthias; Wiegand, Kerstin; Mueller, Karl-Heinz; Ward, David; Meyer, Katrin M.; Jeltsch, Florian
通讯作者Moustakas, Aristides
来源期刊JOURNAL OF VEGETATION SCIENCE
ISSN1100-9233
出版年2006
卷号17期号:4页码:473-480
英文摘要

Question: Is there a relationship between size and death in the Iona-lived, deep-rooted tree, Acacia erioloba, in a semi-arid savanna? What is the size-class distribution of A. erioloba mortality? Does the mortality distribution differ from total tree size distribution? Does A. erioloba mortality distribution match the mortality distributions recorded thus far in other environments?


Location: Dronfield Ranch, near Kimberley, Kalahari, South Africa.


Methods: A combination of aerial photographs and a satellite image covering 61 year was used to provide long-term spatial data on mortality. We used aerial photographs of the study area from 1940, 1964, 1984, 1993 and a satellite image from 2001 to follow three plots covering 510 ha. We were able to identify and individually follow ca. 3000 individual trees from 1940 till 2001.


Results: The total number of trees increased over time. No relationship between total number of trees and mean tree size was detected. There were no trends over time in total number of deaths per plot or in size distributions of dead trees. Kolmogorov-Smirnov tests showed no differences in size class distributions for living trees through time. The size distribution of dead trees was significantly different from the size distribution of all trees present on the plots. Overall, the number of dead trees was low in small size classes, reached a peak value when canopy area was 20 - 30 m(2), and declined in lamer size-classes. Mortality as a ratio of dead vs. total trees peaked at intermediate canopy sizes too.


Conclusion: A. erioloba mortality was size-dependent, peaking at intermediate sizes. The mortality distribution differs from all other tree mortality distributions recorded thus far. We suggest that a possible mechanism for this unusual mortality distribution is intraspecific competition for water in this semi-arid environment.


英文关键词competition long-term data remote sensing savanna size dependent mortality size distribution tree death
类型Article
语种英语
国家Germany ; South Africa
收录类别SCI-E
WOS记录号WOS:000241092700008
WOS关键词POPULATION-DYNAMICS ; SEMIARID SAVANNAS ; SIMULATION-MODEL ; NEGEV DESERT ; ARID SAVANNA ; TREES ; GROWTH ; SIZE ; AGE ; DISTRIBUTIONS
WOS类目Plant Sciences ; Ecology ; Forestry
WOS研究方向Plant Sciences ; Environmental Sciences & Ecology ; Forestry
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/152408
作者单位(1)Univ Jena, Inst Ecol, DE-07743 Jena, Germany;(2)Univ Marburg, Dept Geog, Res Lab GIS & Remote Sensing, DE-35037 Marburg, Germany;(3)Univ KwaZulu Natal, Sch Biol & Conservat Sci, ZA-3209 Scottsville, South Africa;(4)Univ Potsdam, DE-14469 Potsdam, Germany
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Moustakas, Aristides,Guenther, Matthias,Wiegand, Kerstin,et al. Long-term mortality patterns of the deep-rooted Acacia erioloba: The middle class shall die![J],2006,17(4):473-480.
APA Moustakas, Aristides.,Guenther, Matthias.,Wiegand, Kerstin.,Mueller, Karl-Heinz.,Ward, David.,...&Jeltsch, Florian.(2006).Long-term mortality patterns of the deep-rooted Acacia erioloba: The middle class shall die!.JOURNAL OF VEGETATION SCIENCE,17(4),473-480.
MLA Moustakas, Aristides,et al."Long-term mortality patterns of the deep-rooted Acacia erioloba: The middle class shall die!".JOURNAL OF VEGETATION SCIENCE 17.4(2006):473-480.
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