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Forests are ecologically important ecosystems, for example, they absorb CO2 from the
atmosphere, mitigate climate change, and constitute habitats for the majority of terrestrial
flora and fauna. Currently, due to increasing human pressure, forest ecosystems are
increasingly subjected to changing environmental conditions, which may alter forest growth
to varying degrees. However, how exactly different tree species will respond to climate
change remains uncertain and requires further comprehensive studies performed at different
spatial scales and using various tree-ring parameters.
This dissertation aims to advance the knowledge about tree-ring densitometry and
tree responses to climate variability and extremes at different spatial scales, using various
tree species. More specifically, the following aims are pursued: (i) to obtain and compare
wood density data using different techniques, and to assess variability among laboratories
(Chapter I). (ii) To investigate microsite effects on local and regional Scots pine (Pinus
sylvestris L.) responses to climate variability (Chapter II) and extremes (Chapter III),
using ring width (RW) and latewood blue intensity (LBI) parameters. (iii) To give a general
site- and regional-scales overview of Scots pine, pedunculate oak (Quercus robur L.), and
European beach (Fagus sylvatica L.) RW responses to climate variability (Chapter IV). (iv)
To discuss the challenges which may result from compiling tree ring records from different
(micro)sites into large-scale networks. The study area comprises nine coastal dune sites, each
represented by two contrasting microsites: dune ridge and bottom (Chapters II and III), and
310 different sites within the south Baltic Sea lowlands (Chapter IV).
The dissertation confirms that sample processing and wood density measuring are
very important steps, which, if not performed carefully, may result in biases in growth trends,
climate-growth responses, and climate reconstructions. The performed experiment proved
that the mean levels of different wood density-related parameters are never comparable due
to different measurement resolutions between various techniques and laboratories. Further,
the study revealed substantial biases using data measured from rings of varying width due
to resolution issues, where resolution itself and wood density are lowered for narrow rings
compared to wide rings (Chapter I).
The (micro)site-specific investigation showed that, depending on the species,
different climate variables (temperature, precipitation, or drought) constitute important
factors driving tree growth across investigated locations (Chapters II and IV). However,
there is evidence that the strength and/or direction of climate-growth responses differ(s)
between microsite types (Chapter II) and across sites (Chapter IV). Moreover, climategrowth
responses are non-stationary over time regardless of the tree species and tree-ring
parameter used in the analysis (Chapters II and IV). There are also differences in RW and
LBI responses to extreme events at dune ridge and bottom microsites (Chapter III).
The regional-scale investigations revealed that climate-growth responses (strength
and non-stationarity) are quite similar to those observed at the local scale. However,
compiling RW or LBI measurements into regional networks to study tree responses to
extreme events led to weakened signals (Chapter III).
The findings presented in Chapters II and IV suggest that the strength, direction,
and non-stationary responses are very likely caused by several climatic and non-climatic
factors. The mild climate in the south Baltic Sea region presumably does not constitute a
leading limiting growth factor, especially for Scots pine, whose distribution extends from
southern to northern Europe. Thus, the observed climate-growth responses are usually of
weak to moderate strength. In contrast, for other species reaching their distribution limit at
the Baltic coast, the climatic signal can be very strong. However, the observed findings also
result from the effects of microsite conditions, and potentially other factors (e.g.,
management, stand dynamic), which all together alter the physiological response of the tree
at a local scale. Although climate at the south Baltic Sea coast is mild, extreme climate events
may occur and affect tree growth. As demonstrated (Chapter III), extreme climate events
affected tree growth across dune sites, however, to varying degrees. The prominent
differences in tree responses to extreme climate events were significant at the local scale but
averaged out at the regional scale. This is very likely associated with observed microsite
differences, where each microsite experiences different drivers and dynamics of extreme
growth reductions.
This dissertation helped to demonstrate that integrating local tree-ring records into
regional networks involves a series of challenges, which arise at different stages of research.
In fact, not all possible challenges have been discussed in this dissertation. However, it can
be summarized that several steps performed first at the local scale are very important for the
quality and certainty of climate-growth responses, tracking tree recovery after extreme
events, and potential climate reconstructions at the larger scale. Among them, identification
of microsite conditions, sample preparation, and measurement, examination of growth
patterns and trends, and identification of a common limiting growth factor are very
important. Otherwise, the compilation of various tree-ring data into a single dataset could
lead to over- or underestimation of the results and biased interpretations.
Objectives: Clear guidelines on when to remove an implant are missing. This study aimed to evaluate the amount of peri-implant bone loss at explantation by specialists.
Material and Methods: Implantology specialists were asked to provide implants explanted due to peri-implantitis with related clinical information. Questionnaires inquired age, sex, smoking habit, implant location, usage of bone substitutes, and implant brand. Early failures (survival time <12 months) were analysed separately. Explants were measured and bone loss and type of bone loss were assessed using radiographs. Bivariate analysis was used for the type of bone loss, and covariate-adjusted mixed-effects models were evaluated for the amount of bone loss and survival time.
Results: Twelve dental offices provided 192 explants from 161 patients with 99 related radiographs. Most implants were affected by vertical bone loss (51.1%), followed by combined horizontal and vertical bone loss (22.3%), peri-implant gap (11.7%), horizontal bone loss (10.6%), and only a few by apical inflammation (4.3%). Thirty-three (17.2%) explants were early failures. Type of bone loss was significantly associated with survival time and implant brand. Implant brand also showed a significant correlation with early/late implant failure. Excluding early failures, combined horizontal and vertical bone loss was additionally significantly associated with smoking, and the location when grouped to incisor, canine, premolar, and molar showed a significant association with the type of bone loss. Further, the average survival time was 9.5 ± 5.8 years with absolute and relative bone loss of 7.0 ± 2.7 mm and 66.2 ± 23.7%, respectively. Late failures were removed at a mean bone loss of 50.0% with 5.44 mm residual alveolar bone in the posterior maxilla and 73.8% with 2.89 mm residual alveolar bone in other locations. In fully adjusted mixed-effects models, only the age at implantation (B=-0.19; 95% CI: -0.27 to -0.10) remained a significant factor for survival time. Implants exhibited significantly more relative bone loss if they were positioned in the mandible (B=17.3; 95% CI: 3.91 to 30.72) or if they were shorter (B=-2.79; 95% CI: -5.50 to -0.08).
Conclusions: Though the mean bone loss (66.2%) at which implants were explanted was in accordance with the literature, its wide variation and differentiation between the posterior maxilla and other locations showed that the profession has no universally accepted threshold beyond which an implant cannot be preserved.
Under natural conditions, most parts of northeastern Germany would be covered by forests that would be dominated by beech (Fagus sylvatica) and oak (Quercus robur and Q. petraea). However, today most of the wooded area is covered by artificial monocultures of pine forests. This form of cultivation was recognised to be the cause of instability against calamities of pests as well as severe storms therefore in the early eighties of the last century this knowledge was used to start the conversion of the forests towards more nature-like stands. The ecological effects of the forest conversion on the soil, the fauna and the flora have been investigated in a nation-wide project supported by the Federal Ministry of Education and Research (BMBF) in the project “Future-oriented forest management”. The present work has been accomplished within the scope of this project and is concerned about the effects that different aspects of forest conversion have on oribatid mites. The present work shall serve to answer a number of questions about the distribution of oribatid mites and their reaction to environmental changes. The investigation was carried out on 12 plots in two sampling areas. 7 plots were chosen in the Müritz NP and 5 in Eberswalde. In both areas plots were chosen that resemble the different stages of forest conversion: one medium aged pine plot in each area, two medium aged mixed plots with pines and beeches in the Müritz NP and one mixed plot in Eberswalde as well as one beech plot in each area. Furthermore, in the Müritz NP the chance arose to investigate the effects of different age stages of the stands on the oribatid mites. Therefore, an additional young pine plot and two old mixed plots have been sampled. In Eberswalde, on the other hand, another emphasis was laid on the effects of a different nutrient content in the soil. Here, an additional pine plot and mixed plot, respectively, of a higher trophotopic level was sampled. In Eberswalde, an additional sampling was done in three plots (a beech plot, a mixed plot and a pine plot) to investigate the horizontal distribution of the oribatid mites in these habitats. The data were used along with others to ecologically characterise the different species. The sampling took place from 2000 to 2002. Within the scope of the doctoral thesis, 392 samples were analysed. 122 samples from one year from the Müritz NP and 270 samples from three years from Eberswalde were analysed. Altogether 155,450 oribatid mites from 82 taxa were found in these samples. The ecological characterisation of the species revealed that the various species react quite differently to the investigated factors. Most species occur with different abundances in different forest types, but their abundance often varies also in comparable stands of both sampling areas. This indicates that they react to climatic effects as well as to biotic and abiotic factors. The forest conversion from pine forests to beech forests causes the abundance of oribatid mites to decrease, probably due to the change of the humus form from mor or mor-like moder in pine forests to mull in beech forests, that is accompanied by a decrease of the abundance of fungi, the main food source for most oribatid mites. Furthermore, the species composition changed. Species like Camisia spinifer, Adoristes ovatus or Acrogalumna longipluma that are typical for pine forests disappeared, while other species like Achipteria coleoptrata or Chamobates voigtsi immigrated in mixed stands after the introduction of beeches. The age of the stands proved to be another important factor. The overall abundance of oribatid mites was higher in the older stands than in the younger stands, while the percentage of juvenile oribatids decreased towards the older stands. Furthermore, the dominance structure became more uneven and shifted toward a higher percentage of fungivorous oppiid and suctobelbid mites. Especially on the old mixed plots, Oppiella nova reaches a dominance value of about 60 %. The nutrient content of the soil seems to be a relatively unimportant factor on the community level as no significant differences with regard to overall abundance and the dominance structure could be recorded. However, the Canonical Correspondence Analysis showed that the nutrient content of the soil does influence the distribution of species, at least with regard to their individual abundance. In summary, it can be said that the distribution of the oribatid species is influenced by many factors, and the stocking is only one of these factors. Nevertheless, a group of four species could be established, that can be used as indicators for the success of the forest conversion towards more nature-like deciduous forests: Achipteria coleoptrata, Autogneta longilamellata, Chamobates subglobulus and C. voigtsi.