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  • 2006Journal Article Research Paper
    [["dc.bibliographiccitation.artnumber","473"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Vegetation Science"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Moustakas, Aristides"],["dc.contributor.author","Guenther, Matthias"],["dc.contributor.author","Wiegand, Kerstin"],["dc.contributor.author","Mueller, Karl-Heinz"],["dc.contributor.author","Ward, David"],["dc.contributor.author","Meyer, Katrin M."],["dc.contributor.author","Jeltsch, Florian"],["dc.date.accessioned","2017-09-07T11:44:42Z"],["dc.date.available","2017-09-07T11:44:42Z"],["dc.date.issued","2006"],["dc.description.abstract","Question: Is there a relationship between size and death in the long-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 years was used to provide long-term spatial data on mortality. We used aerial photographs of the study area from 1940, 1964, 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 the 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 20-30m2, and declined in larger 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."],["dc.identifier.doi","10.1111/j.1654-1103.2006.tb02468.x"],["dc.identifier.gro","3148953"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5596"],["dc.language.iso","en"],["dc.notes.intern","Wiegand Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1100-9233"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","competition"],["dc.subject.gro","long-term data"],["dc.subject.gro","remote sensing"],["dc.subject.gro","savanna"],["dc.subject.gro","size dependent mortality"],["dc.subject.gro","size distribution"],["dc.subject.gro","tree"],["dc.title","Long-term mortality patterns of the deep-rooted Acacia erioloba: The middle class shall die!"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]
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  • 2008Journal Article Research Paper
    [["dc.bibliographiccitation.firstpage","355"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Acta Oecologica"],["dc.bibliographiccitation.lastpage","364"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Moustakas, Aristides"],["dc.contributor.author","Wiegand, Kerstin"],["dc.contributor.author","Getzin, Stephan"],["dc.contributor.author","Ward, David"],["dc.contributor.author","Meyer, Katrin M."],["dc.contributor.author","Guenther, Matthias"],["dc.contributor.author","Mueller, Karl-Heinz"],["dc.date.accessioned","2017-09-07T11:52:23Z"],["dc.date.available","2017-09-07T11:52:23Z"],["dc.date.issued","2008"],["dc.description.abstract","Nearest tree neighbour distances and the tree spatial formation on a large scale over time and space replicates were examined. The study was conducted in a natural savanna ecosystem in the Southern Kalahari, South Africa. Nearest tree neighbour and point pattern analysis methods were used to investigate changes in the spatial pattern of trees in two plots. Trees larger than 2 m canopy diameter were mapped. We used aerial photographs of the study area from 1940, 1964, 1984, 1993, and a satellite image from 2001 to follow two plots over time. Field work was carried out too for classification accuracy. We were able to identify and individually follow over 2400 individual trees from 1940 until 2001. Nearest neighbour analysis results indicate that dead trees were on average closer to their nearest neighbouring trees than living trees were to their neighbours. Most dead trees were on average 6 m from their nearest neighbours, while most living trees were about 20 m apart. Point pattern analysis results show a cyclical transition from clumped to random and sequentially to regular tree spacing. These transitions were not correlated across two plots. Generally, decreases in small-scale clumping coincided with periods of high mortality. Our findings show that regular, clumped, and random tree pattern can occur, pending on time, location, and scale within the location."],["dc.identifier.doi","10.1016/j.actao.2008.01.008"],["dc.identifier.gro","3148903"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5540"],["dc.language.iso","en"],["dc.notes.intern","Wiegand Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1146-609X"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","Acacia erioloba"],["dc.subject.gro","Long-term study"],["dc.subject.gro","Nearest neighbour analysis"],["dc.subject.gro","Point pattern analysis"],["dc.subject.gro","Savanna"],["dc.subject.gro","Spatial patterns"],["dc.subject.gro","Tree mortality"],["dc.subject.gro","Tree size"],["dc.subject.gro","Tree-tree competition"],["dc.title","Spacing patterns of an Acacia tree in the Kalahari over a 61-year period: How clumped becomes regular and vice versa"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]
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