Understory vegetation response to post-tornado salvage logging
Data files
Dec 02, 2024 version files 19.50 MB
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Dryad_Data.xlsx
19.49 MB
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README.md
1.80 KB
Abstract
In an era of increasing natural disturbances, successful tree regeneration has grown more difficult to achieve. Disturbance notably alters forest microclimates, creating open canopy conditions that might promote growth of undesirable understory communities adept at outcompeting tree seedlings. Salvage logging, a common management response to disturbance, may further impede regeneration success. In 2013, a rare tornado in northcentral Maine, USA, and subsequent salvage operation created three clear ‘treatments’ for evaluation of post-disturbance understory regeneration: blowdown, blowdown followed by salvage logging and an undisturbed control. Ten years post tornado, we inventoried understory vegetation within each of these treatments. We used hemispherical photographs to characterize canopy openness and installed sensors to track temperature and soil moisture throughout a growing season. Results indicate distinct understory community differences among each of the treatments, with the salvage treatment supporting a higher richness and abundance of early successional, shade intolerant taxa, while the blowdown and control treatments were characterized by later successional, shade tolerant taxa. Abundance of conifer regeneration was notably lower in plots with high abundance of Rubus idaeus or Pteridium aquilinum. Ordination results suggest that canopy openness and surface temperature fluctuations were the primary factors associated with these compositional differences. This study furthers our understanding of the interactions among disturbance, microclimate, and understory communities, highlighting the need for increased consideration of long-term effects following salvage logging.
README: Understory vegetation response to post-salvage logging
https://doi.org/10.5061/dryad.w0vt4b90z
This dataset contains the understory vegetation cover, coarse woody material (CWM), sapling data, fisheye photograph and TMS probe data analyzed for a manuscript in progress. Details on methods and codes are located in the metadata sheets of the dataset. Additional details about the methodology can be found in the manuscript.
Description of the data and file structure
Data are sorted among five sheets: understory vegetation, CWM, saplings, fisheye photos, and TMS. The understory vegetation data sheet lists the treatment, plot, subplot, species, percent cover and month of inventory. The CWM data sheet lists the treatment, plot, transect direction, species (if known), diameter (taken using calipers), height (to midpoint), and decay class (five-class scale). The sapling data sheet lists treatment, plot, transect direction, species, browse (presence/absence), sapling diameter size class and total (sum of size class rows). The fisheye photos data sheet lists the plot and percent canopy openness assessed for each photo using the Gap Light Analyzer software (camera details and photo date listed on sheet). The TMS data sheet provides the date and time, probe ID (three per plot), treatment, atzimuth (location of probe), plot, soil temperature, surface temperature, air temperature and day of year and volumetric soil moisture. Species codes are provided on separate sheets and metadata tabs provide additional details.
Sharing/Access information
Contact the corresponding author for additional details about use of this dataset.
Code/Software
These data were analyzed in R, code avaliable upon request from the corresponding author.