Gadow, Klaus von

[["dc.bibliographiccitation.firstpage","86"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Mathematical and Computational Published: Aug. 28, 2010 Forestry & Natural-Resource Sciences"],["dc.bibliographiccitation.lastpage","96"],["dc.bibliographiccitation.volume","2"],["dc.contributor.author","Dickel, Meike"],["dc.contributor.author","Kotze, Heyns"],["dc.contributor.author","Gadow, Klaus von"],["dc.contributor.author","Zucchini, Walter"],["dc.date.accessioned","2019-07-10T08:13:48Z"],["dc.date.available","2019-07-10T08:13:48Z"],["dc.date.issued","2010"],["dc.description.abstract","The objective of this study is to analyse the density-dependent dynamics of growth and mortality in an unthinned Eucalyptus grandis spacing experiment on a homogenous site in Zululand/South Africa. Specifically we propose models that describe how the (log) basal area develops in unthinned stands. Our data clearly indicate that mortality varies enormously with planting density. We therefore develop and investigate models that explicitly take mortality into account. To do so we first model the conditional distribution of log basal area as a function of age and the number of trees that are concurrently alive. The last of these covariates is generally unknown in advance, which would seem to render it inapplicable for the purpose of modeling the distribution of future basal area. We show how it is nevertheless possible to estimate the distribution of the number of surviving trees from the available data, and thereby to ‘integrate out’ the effect of this random variable in order to estimate the (unconditional) distribution of the log basal area for each planting density. This is achieved by fitting Weibull distributions to the lifetimes of the trees in the four available plots. A number of different models for the log basal area are compared. Our estimates indicate that the distribution of the future basal area in an unthinned Eucalyptus grandis forest is not independent of the planting density, within the range of the experimental densities investigated in this study. Our results provide clear evidence that planting density has strong and long-lasting effects on basal area. Furthermore the estimates indicate that these effects persist for at least 40 years and that, even after length of time, the rate of convergence to a common condition is very slow."],["dc.identifier.fs","580732"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7482"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61339"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","570"],["dc.title","Growth and survival of Eucalyptus Grandis — A study based on modelling lifetime distributions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","115"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Southern Forests a Journal of Forest Science"],["dc.bibliographiccitation.lastpage","122"],["dc.bibliographiccitation.volume","77"],["dc.contributor.author","von Gadow, Klaus"],["dc.contributor.author","Kotze, Heyns"],["dc.contributor.author","Seifert, Thomas"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Alvarez-Gonzalez, Juan Gabriel"],["dc.date.accessioned","2018-11-07T10:03:15Z"],["dc.date.available","2018-11-07T10:03:15Z"],["dc.date.issued","2015"],["dc.description.abstract","Because of the high cost of maintaining a series of unthinned, densely stocked stands over long periods of time, suitable data about potential forest density and tree survival for different planting espacements are difficult to find. Direct assessment of the potential density (which is always preferable to speculation, however ingenious the estimation may be) requires densely stocked unmanaged field studies that are remeasured regularly during long observation periods. An example of such a study is the Correlated Curve Trend (CCT) series of spacing studies established by O'Connor in South Africa. This contribution presents results for unthinned Pinus patula stands using an unusually large data set, specifically: (1) the potential density using the relationship between the quadratic mean diameter and trees per hectare, which does not confirm Reineke's constant of -1.605; (2) the relationship between average spacing and average tree diameter (known as Nilson's sparsity), which is found to be non-linear, thus contradicting previous assumptions; and (3) the development of the ratio basal area/trees per hectare, which appears to remain unchanged during the life of a planted forest, irrespective of the planting espacement. Finally, we present a tree survival analysis, based on the Weibull distribution function, for the Nelshoogte replicated CCT study, which has been observed for almost 40 years after planting and provides information about tree survival in response to planting espacements ranging from 494 to 2 965 trees per hectare."],["dc.identifier.doi","10.2989/20702620.2014.984151"],["dc.identifier.isi","000355378900003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38417"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Natl Inquiry Services Centre Pty Ltd"],["dc.relation.issn","2070-2639"],["dc.relation.issn","2070-2620"],["dc.title","Potential density and tree survival: an analysis based on South African spacing studies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]