TY  - JOUR
A1  - Moustakas, Aristides
A1  - Günther, Matthias
A1  - Wiegand, Kerstin
A1  - Müller, Karl-Heinz
A1  - Ward, David
A1  - Meyer, Katrin M.
A1  - Jeltsch, Florian
T1  - Long-term mortality patterns of the deep-rooted Acacia erioloba
BT  - The middle class shall die!
JF  - Journal of vegetation science
N2  - 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.
KW  - competition
KW  - long-term data
KW  - remote sensing
KW  - savanna
KW  - size dependent mortality
KW  - size distribution
KW  - tree death
Y1  - 2006
U6  - https://doi.org/10.1111/j.1654-1103.2006.tb02468.x
SN  - 1100-9233
VL  - 17
SP  - 473
EP  - 480
PB  - Blackwell
CY  - Malden
ER  - 
TY  - BOOK
A1  - Thieken, Annegret
A1  - Bessel, Tina
A1  - Callsen, Ines
A1  - Falter, Daniela
A1  - Hasan, Issa
A1  - Kienzler, Sarah
A1  - Kox, Thomas
A1  - Kreibich, Heidi
A1  - Kuhlicke, Christian
A1  - Kunz, Michael
A1  - Matthias, Max
A1  - Meyer, Volker
A1  - Mühr, Bernhard
A1  - Müller, Meike
A1  - Otto, Antje
A1  - Pech, Ina
A1  - Petrow, Theresia
A1  - Pisi, Sebastian
A1  - Rother, Karl-Heinz
A1  - Schröter, Kai
T1  - Das Hochwasser im Juni 2013
BT  - Bewährungsprobe für das Hochwasserrisikomanagement in Deutschland
T3  - Schriftenreihe des DKKV ; 53
Y1  - 2015
SN  - 978-3-933181-62-6
PB  - Deutsches Komitee Katastrophenvorsorge
CY  - Bonn
ER  -