@masterthesis{Smigielski2023, type = {Bachelor Thesis}, author = {Smigielski, Jan}, title = {Analysis of Point-Dendrometer Measurements in the Digital Forest Lab Haselberg: Evaluation of a Research Design for a Data-Based Model on Tree-Environment Cause-Effect Relationships}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-7942}, school = {Hochschule f{\"u}r nachhaltige Entwicklung Eberswalde}, pages = {70}, year = {2023}, abstract = {Direct impacts of environmental conditions on tree individuals and their respective responses are often only visible after long-term observation and through evaluation of damages or growth development. The temporal lag between environmental impacts and visible tree response can lead to a lack of understanding for the consequences of human actions and management decisions, especially in the perspective of drastically changing climatic conditions through climate change. This study aims to establish a research setup, which can deliver data on the impacts of environmental parameters on tree-physiology parameters. It examines whether the constructed research setup can deliver sufficient data to display cause-effect relationships between the parameters. Detected correlations could be used to create a data-based model, which can make the research results accessible and visible for users. For this purpose, stem radius fluctuations of multiple individuals of Fagus sylvatica were measured in micrometer resolution with point-dendrometers in a research area located at the Digital Forest Lab Haselberg. Stem radius changes can be traced back to either growth processes or tree-water movements. The data was processes based on the Zero-Growth concept by Roman Zweifel et al. with the R-package treenetproc and tested for correlations. The results showed correlations between environmental parameters and tree-physiology parameters but varied for seasonal and trend components of analyzed time series. Rising temperatures and connected environmental parameters showed a decreasing effect on stem radiuses on a daily basis but correlated positive with growth and stem radius expansion overall. A clear diurnal pattern was detected, induced by day-and-night-cycle of the environmental parameters, which influenced tree parameters and caused a similar pattern. While correlations were confirmed, trees showed differing behavior in their response to environmental conditions, which could not be fully explained within the current research setup. Further research in an enhanced setup is necessary to deliver satisfying answers and to create a reliable model, which can be utilized as an interactive user-experience in the Digital Forest Lab Haselberg, to foster understanding for the ecological impacts of changing environmental conditions.}, language = {en} }