TreeNet has developed a range of methods to analyze stem radius change data measured with automatic high-precision point dendrometers in a standardized way. Dendrometer data contain information about the timing and amount of radial stem growth and the tree water deficit, quantified by the amount of radial stem shrinkage. From this, indicators of growth performance and the degree of drought stress can be derived for individual trees or entire forests.
The portfolio of tools include data cleaning, processing of raw data into physiologically meaningful variables, and analysis of temporal characteristics (when do stems expand? When do they shrink? When do trees grow? When do they experience the greatest drought stress?). Furthermore, the tools allow time series to be interpolated using a machine learning algorithm and the data to be visualized.
The codes for these tools are open access and can be found at the following links: