Staupendahl, Kai

[["dc.bibliographiccitation.firstpage","284"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","296"],["dc.bibliographiccitation.volume","267"],["dc.contributor.author","Griess, Verena C."],["dc.contributor.author","Acevedo, Ricardo"],["dc.contributor.author","Haertl, Fabian"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Knoke, Thomas"],["dc.date.accessioned","2018-11-07T09:12:51Z"],["dc.date.available","2018-11-07T09:12:51Z"],["dc.date.issued","2012"],["dc.description.abstract","In this study, survival of spruce (Picea abies [L.] Karst.) trees in mixed- and mono-species stands was analyzed using the database of Rhineland-Palatinate's forest damage survey (FDS). The influence of species mixture on tree survival probability was analyzed using data from 9864 trees, of which 2866 spruce trees have been analysed in detail. Data was collected on 495 research plots in a series of continuous measurements taken since 1984. For estimating survival probability, the Kaplan-Meier method was applied to achieve a first overview about possible effects. The analysis was then extended using Accelerated Failure Time (AFT) models to estimate the parameters of a Weibull function, used to describe survival times. The resulting models were used to simultaneously analyze the effects of intensity of mixture (represented by Shannon-Weaver-Index and, alternatively, by species proportion), time since harvest and site characteristics. Results obtained indicate positive effects of species mixture on resistance of spruce trees: survival probabilities increase with increasing intensity of mixture, regardless whether mixture is characterised by Shannon-Weaver-Index or species proportion. Spruce trees in monocultures on average site conditions will reach age 100 with a probability of 80%. Spruce trees growing in a moderately mixed stand (average Shannon-Weaver-Index 0.4) show a slight increase in survival probability to a 83% probability of reaching age 100 whilst spruce trees in a more diverse stand (average Shannon-Weaver-Index 1.2) have a 97% probability of reaching age 100. An admixture of 50% thus leads to an increase in survival probability of 17 percentage points. Site variables even show a stronger impact on survival than tree species mixture. From these variables wet soils had the strongest negative influence on spruce survival, while orographic conditions of saddles, anticlines, valleys, trenches or dells showed the strongest positive influence on survival. However, the strongest influence on spruce survival was recent harvest activity. The more time had passed since the harvest operation, the less likely residual trees were to succumb to stresses. (C) 2011 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.foreco.2011.11.035"],["dc.identifier.isi","000301219000028"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27041"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","0378-1127"],["dc.title","Does mixing tree species enhance stand resistance against natural hazards? A case study for spruce"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","30"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.lastpage","47"],["dc.bibliographiccitation.volume","346"],["dc.contributor.author","Thiele, Jan Christoph"],["dc.contributor.author","Nuske, Robert S."],["dc.contributor.author","Ahrends, Bernd"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Albert, Matthias"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Junghans, Udo"],["dc.contributor.author","Jansen, Martin"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T10:27:13Z"],["dc.date.available","2018-11-07T10:27:13Z"],["dc.date.issued","2017"],["dc.description.abstract","Projected climate change implies that site conditions can no longer be expected to remain constant over a tree's lifetime. The fast and complex changes in site characteristics and growth patterns diminish the value of traditional knowledge and profoundly alter the conditions of forest management. One way to tackle the inherent uncertainties are simulation studies addressing these new dynamics and mechanisms. The aim of this study is to present such a simulation model system comprising various established and validated process-based and statistical models assessing the complex and dynamic response of a forest stand to climate change. For a given climate scenario, these coupled models estimate the potential growth and yield and various risks considering changing site and stand conditions. As an example, the model system is applied to managed forest stands of Norway spruce (Picea abies (L) H. Karst.) in a forest district located in central western Germany. For the changing climate conditions according to SRES B1 and A1 B, the model results suggest a positive effect on the site index and, by contrast, a negative impact on tree survival of increasing risks regarding drought stress mortality, wind damage, and bark beetle infestation given the climate change scenario. The annual contribution margin of timber production under consideration of damage risks by drought stress mortality, wind, and bark beetle infestation reveals that, in this case, the increased growth is able to compensate for the higher risks with few exceptions. Furthermore, we discuss the advantages and challenges of employing a dynamic complex simulation model system for climate change impact assessment based on high-resolution climate data. (C) 2016 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolmodel.2016.11.013"],["dc.identifier.isi","000393248900004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/43203"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","1872-7026"],["dc.relation.issn","0304-3800"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.title","Climate change impact assessment-A simulation experiment with Norway spruce for a forest district in Central Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.volume","276"],["dc.contributor.author","Griess, Verena C."],["dc.contributor.author","Acevedo, Ricardo"],["dc.contributor.author","Haertl, Fabian"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Knoke, Thomas"],["dc.date.accessioned","2018-11-07T09:08:12Z"],["dc.date.available","2018-11-07T09:08:12Z"],["dc.date.issued","2012"],["dc.format.extent","259"],["dc.identifier.doi","10.1016/j.foreco.2012.02.008"],["dc.identifier.isi","000305719800029"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/25975"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","0378-1127"],["dc.title","Does mixing tree species enhance stand resistance against natural hazards? A case study for spruce (vol 267, pg 284, 2012)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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"]]

[["dc.bibliographiccitation.firstpage","496"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Forest Policy and Economics"],["dc.bibliographiccitation.lastpage","502"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Möhring, Bernhard"],["dc.contributor.author","Staupendahl, Kai"],["dc.date.accessioned","2018-09-05T16:20:22Z"],["dc.date.available","2018-09-05T16:20:22Z"],["dc.date.issued","2011"],["dc.description.abstract","In the context of climate change, the frequency and intensity of natural disturbances of silvicultural production, such as storms and insects, are expected to increase. Hence, now more than ever before such factors must be considered in forest management. As a contribution to this topic, this article presents a calculation model implemented in Excel frames, which supports decisions in forest production under changing conditions. Risk is integrated into the model by the Weibull function, which serves as an age-dependent survival function. In order to facilitate an intuitive interpretation of its coefficients, it was used in a reparametrised form. Furthermore, salvage price reductions and cost additions caused by calamities are considered. The target variable is the ‘annuity under risk’. We demonstrate exemplarily how different parameters of the survival function influence the probability distribution and thus the expected value of the annuity of a spruce stand. The differences between the annuities with and without a consideration of risk are interpreted as current, annual risk costs. It can be shown that risk lowers the annuity, whereas scenarios with high risks in the young stand stages have a higher impact than those with high risks in mature stands. In the latter case, adaptation is possible by shortening the rotation period. This does not hold in the case of early risks, which cannot be avoided. For this case, an extension of the rotation length is recommended. By changing the parameters of the survival function, this scheme allows forest managers to incorporate changing risks into their management planning. Research highlights ► In order to model natural risks, we used the reparametrised Weibull function. ► The advantage is that it has intuitively interpretable coefficients. ► In the decision model we used the annuity as economic target variable. ► Using the survival function the distribution and the expected value of the annuity can be calculated. ► We interpret the deviation between the annuities for the risk-free and the risky cases as annual risk costs."],["dc.identifier.doi","10.1016/j.forpol.2011.05.007"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15662"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Integrating natural risks into silvicultural decision models"],["dc.title.subtitle","A survival function approach"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","129"],["dc.bibliographiccitation.issue","7-8"],["dc.bibliographiccitation.journal","ALLGEMEINE FORST UND JAGDZEITUNG"],["dc.bibliographiccitation.lastpage","145"],["dc.bibliographiccitation.volume","182"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Zucchini, Walter"],["dc.date.accessioned","2018-11-07T09:00:36Z"],["dc.date.available","2018-11-07T09:00:36Z"],["dc.date.issued","2011"],["dc.description.abstract","The expected increase of calamities due to climate change has generated a growing demand from forest planners for applicable approaches to quantify production risks. Survival functions which provide the probability that a forest stand exceeds a certain age could be particularly useful in this context. However, for Central Europe only a few investigations have derived site and tree species specific parameters for survival functions that are applicable in larger regions and for longer periods. The German National Forest Condition Survey collects time series data that are spatially representative and that cover a relative long time period. Using the data from Rheinland-Pfalz, we illustrate how survival analysis can be used to estimate the survival function. The Kaplan-Meier estimate for the main tree species (groups) reveals an increasing dropout probability with increasing age, which is typical for forest stands. As expected, spruce stands are most vulnerable against hazards, showing a survival probability of 73% at age 100. The Weibull distribution proves to be an adequate parametric model for describing the survival times of all tree species groups. Adding site factor variables in an accelerated failure time model, which was tested for spruce, reveals plausible estimates. However, the simultaneous treatment of different hazards turns out to be problematic. In order to avoid these limitations, and to improve the survival models based on forest condition surveys, we recommend that the causes of removal be identified as accurately as possible, and in greater detail, compared to the current instructions. The application of the methodology presented here for data from other Federal States is certainly worth considering."],["dc.identifier.isi","000296070500003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24207"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","J D Sauerlanders Verlag"],["dc.relation.issn","0002-5852"],["dc.title","Estimating survival functions for the main tree species based on time series data from the forest condition survey in Rheinland-Pfalz, Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","160"],["dc.bibliographiccitation.issue","8-9"],["dc.bibliographiccitation.journal","ALLGEMEINE FORST UND JAGDZEITUNG"],["dc.bibliographiccitation.lastpage","168"],["dc.bibliographiccitation.volume","177"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Zucchini, Walter"],["dc.date.accessioned","2018-11-07T09:26:27Z"],["dc.date.available","2018-11-07T09:26:27Z"],["dc.date.issued","2006"],["dc.identifier.isi","000240296900005"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30302"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","J D Sauerlanders Verlag"],["dc.relation.issn","0002-5852"],["dc.title","Estimating the spatial distribution in forest stands by counting small angles between nearest neighbours"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]