Dataset Overview

Throughout the Northeast, the hemlock woolly adelgid (Adelges tsugae) threatens eastern hemlock (Tsuga canadensis) through direct mortality resulting from infestation followed by defoliation and indirect mortality in the form of pre-emptive logging. The efficacy of regeneration of vegetation following hemlock decline depends upon advance regeneration of seedlings and saplings, seed dispersal, and recruitment. This study investigated (1) whether the basic parameters of height of release and wind velocity affected seed dispersal distance and (2) the fit of a basic ballistic model of seed dispersal to empirical data in areas both with and without canopies. Empirical data was collected from seed dropping and seed rain experiments at Harvard Forest. Height and wind velocity only affected seed dispersal distance in open areas. Predicted values of dispersal distance generated by the basic ballistic model did not provide a good fit to observed dispersal data. Poor fits of the ballistic model to the data were due to the model’s inability to account for rare, long distance dispersal events. More complex models with additional parameters are necessary to model Non-localized seed dispersal.

See Full Dataset Documentation

Purpose

The purpose of this study was to research the efficacy of regeneration of vegetation following hemlock decline after hemlock wooly adelgid infestation.

Data Collection Status

Data collection for this dataset has been completed

Start date

2005-01-01

End date

2005-12-31

Data Availability

This dataset is available to download from another website

Data License

Third party determines data license

Preferred Citation

Record S, Ellison A. 2009. Tree Seed Dispersal in Hemlock Removal Experiment at Harvard Forest 2005. Harvard Forest Data Archive: HF120. Available at: http://harvardforest.fas.harvard.edu:8080/exist/apps/datasets/showData.html?id=hf120

Update Frequency

Unknown

Maintenance Plan

Not provided

Links

  • Tree Seed Dispersal in Hemlock Removal Experiment at Harvard Forest 2005
  • Harvard Forest
  • Related Datasets

    Determining Dataset Similarity