Abstract
Tree Sway Time Series of 7 Amazon Tree Species (July 2015–May 2016)
Highlights
Trees are a crucial part of ecosystems through their important influence on the water and carbon cycles (Reichstein et al, 2013; Schlesinger and Jasechko, 2014; Patton et al, 2016)
These parameters can in turn be related to water-related mass changes (Llamas et al, 2013), biomass-related mass changes (Selker et al, 2011), tree-atmosphere interactions
In particular the derived estimation of tree natural frequency is useful for risk assessment of wind damage/throw, and quantification of tree properties and responses
Summary
Trees are a crucial part of ecosystems through their important influence on the water and carbon cycles (Reichstein et al, 2013; Schlesinger and Jasechko, 2014; Patton et al, 2016). Mounted on a tree trunk, they measure tree sway, which is determined by its mass, elasticity, wood density and drag coefficient. In particular the derived estimation of tree natural frequency is useful for risk assessment of wind damage/throw, and quantification of tree properties (e.g., mass, elasticity) and responses (e.g., intercepted precipitation, mass changed in response to water stress). Our dataset presents a unique opportunity to use long-term tree sway data of 19 individual trees This allows analysis of diurnal and seasonal changes, as well as comparison between individuals of the same species, and between different species as a whole. With a 8GB data card it can store up to 320 days of data measured with a frequency of 10 Hz. Data are written to a newly created file each day to minimize data loss in case of empty batteries, full data storage, or other potential failures. The casing has space to include several silica bags to absorb moisture when installed in humid environments
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