TreeNet-The Biological Drought and Growth Indicator Network

Zweifel, Roman and Etzold, Sophia and Basler, David and Bischoff, Reinhard and Braun, Sabine and Buchmann, Nina and Conedera, Marco and Fonti, Patrick and Gessler, Arthur and Haeni, Matthias and Hoch, Günter and Kahmen, Ansgar and Köchli, Roger and Maeder, Marcus and Nievergelt, Daniel and Peter, Martina and Peters, Richard L. and Schaub, Marcus and Trotsiuk, Volodymyr and Walthert, Lorenz and Wilhelm, Micah and Eugster, Werner. (2021) TreeNet-The Biological Drought and Growth Indicator Network. Frontiers in Forests and Global Change, 4. p. 776905.

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Official URL: https://edoc.unibas.ch/86912/

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The TreeNet research and monitoring network has been continuously collecting data from point dendrometers and air and soil microclimate using an automated system since 2011. The goal of TreeNet is to generate high temporal resolution datasets of tree growth and tree water dynamics for research and to provide near real-time indicators of forest growth performance and drought stress to a wide audience. This paper explains the key working steps from the installation of sensors in the field to data acquisition, data transmission, data processing, and online visualization. Moreover, we discuss the underlying premises to convert dynamic stem size changes into relevant biological information. Every 10 min, the stem radii of about 420 trees from 13 species at 61 sites in Switzerland are measured electronically with micrometer precision, in parallel with the environmental conditions above and below ground. The data are automatically transmitted, processed and stored on a central server. Automated data processing (Rbased functions) includes screening of outliers, interpolation of data gaps, and extraction of radial stem growth and water deficit for each tree. These long-term data are used for scientific investigations as well as to calculate and display daily indicators of growth trends and drought levels in Switzerland based on historical and current data. The current collection of over 100 million data points forms the basis for identifying dynamics of tree-, site- and species-specific processes along environmental gradients. TreeNet is one of the few forest networks capable of tracking the diurnal and seasonal cycles of tree physiology in near real-time, covering a wide range of temperate forest species and their respective environmental conditions.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Physiological Plant Ecology (Kahmen)
UniBasel Contributors:Kahmen, Ansgar and Basler, David and Hoch, Günter and Peters, Richard
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:03 Feb 2022 14:37
Deposited On:03 Feb 2022 14:37

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