Dark Mode
Forest Seedling Survivorship Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides key information for predicting tree seedling survival. It details a factorial blocked design field experiment focusing on how seedling functional traits influence plant-soil feedback survival responses under varying light conditions. The data also explores how tree seedling shade tolerance is mediated by interactions with microbes and functional traits. The experiment involved 3,024 seedlings across four tree species, seven soil sources (including sterilised and heterospecific), and a gradient of low, medium, and high forest understory light levels. Survival was monitored over one growing season, with measurements including mycorrhizal colonisation, phenolics, lignin, and nonstructural carbohydrates.
Columns
- No: A unique identification number for each seedling.
- Plot: The number of the field plot where the seedling was planted, ranging from 1 to 18.
- Subplot: Identifies the specific subplot within the main plot (A-E).
- Species: The species of the seedling, including Acer saccharum, Prunus serotina, Quercus alba, and Quercus rubra.
- Light ISF: Quantified light level using HemiView software, representing the amount of light reaching each subplot at a height of 1m.
- Light Cat: A categorical light level derived from Light ISF, categorised as low, med, or high.
- Core: The year the soil core was removed from the field (either 2016 or 2017).
- Soil: The species from which the soil core was obtained, including the four seedling species, plus Acer rubrum, Populus grandidentata, and a sterilised conspecific option for each species.
- Adult: Refers to the individual adult tree from which the soil was collected (up to 6 adults per species).
- Sterile: Indicates whether the soil was sterilised.
- Conspecific: Describes the type of soil: conspecific, heterospecific, or sterilised conspecific.
- Myco: The mycorrhizal type of the seedling species (AMF or EMF).
- SoilMyco: The mycorrhizal type of the species that cultured the soil (AMF or EMF).
- PlantDate: The date when seedlings were planted in the field pots.
- AMF: The percentage of arbuscular mycorrhizal fungi colonisation on the fine roots of harvested seedlings.
- EMF: The percentage of ectomycorrhizal fungi colonisation on the root tips of harvested seedlings.
- Phenolics: The amount of phenolic compounds, calculated as nmol Gallic acid equivalents per mg dry extract.
- NSC: The percentage of dry mass nonstructural carbohydrates.
- Lignin: The percentage of dry mass lignin.
- Census: The census number at which the seedling died or was harvested.
- Time: The number of days at which the seedling died or was harvested.
- Event: Used for survival analysis to indicate the status of each individual seedling at a given time (0 = harvested or experiment ended, 1 = dead).
- Harvest: Indicates whether the seedling was harvested for trait measurement.
- Alive: Indicates if the seedling was alive at the end of the second growing season ("X" denotes alive status).
Distribution
The dataset is provided as a CSV file. It contains 24 columns and approximately 2,783 valid records. The file size is 390.72 kB. Missing data points are coded as "NA".
Usage
This dataset is ideal for:
- Developing tree survival prediction models.
- Researching plant-soil feedback mechanisms and their impact on tree seedling survivorship.
- Analysing the influence of light availability and soil source on seedling functional traits.
- Investigating shade tolerance and the role of microbial interactions.
- Studies in forest ecology, plant physiology, and environmental science.
- Binary classification tasks related to seedling survival.
Coverage
The dataset stems from a field experiment conducted over one growing season, with soil cores collected in 2016 and 2017, and seedlings planted in May-June 2018. It focuses on four specific tree species: Acer saccharum, Prunus serotina, Quercus alba, and Quercus rubra. The experiment involved various soil sources, including sterilised, conspecific, and heterospecific, along with a gradient of forest understory light levels.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly valuable for:
- Ecologists studying forest dynamics, plant-soil interactions, and seedling establishment.
- Forestry researchers interested in factors affecting tree regeneration and survival.
- Biologists investigating plant physiology and microbial symbioses.
- Data scientists and modellers applying survival analysis or classification algorithms to ecological data.
- Academics and students in environmental science and conservation.
Dataset Name Suggestions
- Tree Seedling Survival Traits
- Forest Seedling Survivorship Data
- Plant-Soil Feedback & Survival
- Ecological Tree Survival Study
- Seedling Trait Experiment Data
Attributes
Original Data Source: Forest Seedling Survivorship Data
QUALITY