A traditional ground plot forest inventory is a method used to assess and monitor forest resources by collecting data directly from the field. This process involves establishing permanent or temporary sample plots (fixed areas of land) within a forest, where measurements and observations are made.

Key characteristics include:

Plot Establishment: Specific locations are selected using random, systematic, or stratified sampling methods to ensure accurate representation of the forest area.

Field Measurements: Data collected typically include:

• Tree measurements: Diameter at breast height (DBH), tree height, crown width.

• Species identification: Determining the type of trees present.

• Health assessments: Signs of disease, pests, or damage.

• Density and volume: Number of trees per area, biomass, and timber volume.

Data Analysis: The collected information is used to estimate forest attributes such as:

• Tree density

• Basal area (the cross-sectional area of tree trunks)

• Timber volume

• Biodiversity indices

Applications: This method supports forest management, conservation planning, carbon stock estimation, and ecological research.

Traditional ground plot inventories are valued for their accuracy and reliability but can be time-consuming, labor-intensive, and costly, especially for large forested areas. They are often combined with remote sensing technologies (like LiDAR or satellite imagery) for more comprehensive assessments.