Soil as a critical component of vegetation restoration on a sub-alpine mountain summit in Acadia National Park
Data files
Jun 17, 2025 version files 1.25 MB
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analysis_functions.R
1.79 KB
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cadillac_species_richness_data.csv
461.22 KB
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cadillacdata_manuscript_final.csv
748.32 KB
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manuscript_analysis_cleaned.R
32.74 KB
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README.md
1.96 KB
Jun 17, 2025 version files 1.25 MB
-
analysis_functions.R
1.79 KB
-
cadillac_species_richness_data.csv
461.22 KB
-
cadillacdata_manuscript_final.csv
748.32 KB
-
manuscript_analysis_cleaned.R
33.33 KB
-
README.md
1.96 KB
Abstract
Aims
Recreational use on mountain summits has caused severe degradation of soils and vegetation, and climate change is exacerbating these impacts. Best practices for restoration of these important ecosystems are unknown. Here we examine the effectiveness of different treatments for restoring native vegetation (plant cover and native species richness) in degraded areas on a mountain summit through an experimental restoration approach.
Location
Cadillac Mountain, Acadia National Park, Maine, USA.
Methods
We tested six restoration-method treatments: control, planting modules, coir erosion control, seed and coir, soil and coir, and soil, seed, and coir. We established four replicates of each restoration-method treatment in 2016 and monitored percent cover and species richness twice per year from 2017-2022. In 2017, we established four more plots for each of three soil-depth treatments (2.5 cm soil, seed, and coir, 13 cm soil and coir, and 13 cm soil, seed, and coir), and monitored percent cover.
Results
Six years after restoration began, native vegetation cover was highest in treatments with added soil. Seeding (502 seeds/m2) had no effect on percent cover. Planting seedlings added vegetative cover initially, but did not increase over time. Cover was equally high in treatments with shallow soil (2.5 cm deep) and deep soil (13 cm deep). Treatments with added soil also had the highest native species richness. Adding a small amount of soil (2.5 cm soil depth) with erosion control (i.e., coir matting) successfully restored vegetation to previously degraded areas of the Cadillac Mountain summit.
Conclusions
Mountain ecosystems will continue to experience degradation from human recreation and climate change. Restoration of degraded areas is critical to maintain these rare ecosystems. Our results suggest that restoring and maintaining soil is key to restoring degraded areas. However, more research is needed to understand the long-term implications and success of mountain summit restoration. Our study provides an example of how this work can be done without delaying restoration using an experimental restoration approach.
Dataset DOI: 10.5061/dryad.51c59zwm2
Description of the data and file structure
Data and R scripts for analysis of experimental vegetation restoration plots on Cadillac Mountain, Acadia National Park, Maine, USA. Data collected from 2017-2022.
Files and variables
File: cadillacdata_manuscript_final.csv
Description: The field collected data from our restoration experiments on the summit of Cadillac Mountain from 2017-2022.
Variables
- group.code: Species or higher order taxonomic code
- month: Month of data collection. All data collection occurred in July, August, and September
- year: Year of data collection represented by last two digits of the full year (i.e., 2020 = "20")
- ridge: Which ridge (north or east) the plot was located at
- site: Number assigned to each site. For this study the sites were 1, 2, 7, and 8
- plotquad: The plot and quadrat ID combined
- site.plotquad: Site number and plotquad separated with a period
- treatment: Restoration treatment name
- year.est: The year that the treatment was established on the summit of Cadillac Mountain
- cover: Absolute percent cover
File: cadillac_species_richness_data.csv
Description: Species richness data from the restoration plots collected by botanist Jill Weber.
Variables
- plot: Site and plot ID separated by a period
- treatment: Restoration treatment name
- year: Year of data collection
- taxon: Species name, uncleaned and sometimes abbreviated
- count: Number of individuals of that species
Code/software
Script: analysis_functions.R
Description: R script of helper functions for the actual manuscript analysis script.
Script: manuscript_analysis_cleaned.R
Description: R script for the full analysis completed and presented in the final manuscript.
