The dataset is a detailed collection of ecological and environmental metrics focused on tree characteristics and site conditions, with each record representing an individual tree or plot. The key attributes include:
Plot_ID: a unique identifier for each plot, helping to distinguish different locations within the study area.
Latitude and Longitude: geographic coordinates of the plot, specifying its north-south and east-west positions, respectively.
DBH (Diameter at Breast Height): the tree's diameter at 1.3 meters above ground, in centimeters, crucial for assessing size and health.
Tree_Height: total height from the base to the top, in meters, providing insights into growth and ecological roles.
Crown_Width_North_South and Crown_Width_East_West: crown dimensions in both directions, giving a comprehensive view of canopy size and competition within the ecosystem.
Slope: terrain steepness in degrees, influencing water drainage, erosion, and root development.
Elevation: plot height above sea level, in meters, affecting temperature, precipitation, and ecosystem dynamics.
Temperature and Humidity: average temperature in Celsius and humidity percentage at the plot, both impacting tree growth, health, and species distribution.
Soil_TN and Soil_TP: total nitrogen and phosphorus in the soil, in grams per kilogram, essential for growth and energy processes.
Soil_AP and Soil_AN: available phosphorus and nitrogen for plant uptake, in grams per kilogram, reflecting nutrient availability and soil fertility.
Menhinick_Index and Gleason_Index: biodiversity indices indicating species richness and community composition.
Disturbance_Level: categorical levels (0: low, 1: medium, 2: high) indicating ecological disturbance, affecting ecosystem stability.
Fire_Risk_Index: a score from 0 to 1, measuring fire risk based on environmental conditions, important for fire management.
Health_Status: a categorical variable (either 'Healthy' or 'Unhealthy') indicating tree vitality and environmental impact.