From 1 - 3 / 3
  • This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021. We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data. Full details about this dataset can be found at https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003

  • This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz. This data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest. Full details about this dataset can be found at https://doi.org/10.5285/f03806fa-3596-4119-90c5-70254f39cfc0

  • This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory data, status and some details about the mode of death. Additional data for Danum Valley is available through the ForestGEO portal. Additional data for Sepilok reserve is available through forestplots website. Full details about this dataset can be found at https://doi.org/10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f