SERC Tower Stand data contains measurements of identity, size, and health for all woody plants within a 1.635-hectare forest plot in Edgewater, Maryland. The Smithsonian Institution's SERC collected this data as a long-term study of stand dynamics, with measurements recorded every three years. The dataset provides a longitudinal record of forest composition and change.
Use Cases
- Model tree growth rates over time using repeated size measurements from the same individuals.
- Analyze species composition shifts and mortality events using identity and health status data recorded triennially.
- Study forest stand structure and dynamics by correlating individual tree data with the fixed 1.635-hectare plot boundary.
- Calibrate remote sensing biomass estimates with ground-truth measurements of tree size and health.
Strengths
- Longitudinal data collection with a fixed triennial measurement interval.
- Census includes all woody plants within a defined 1.635-hectare area.
Limitations
- Sample size is limited to a single forest stand, reducing generalizability.
- Temporal coverage and recency are unknown, potentially limiting contemporary analysis.
Provenance
- Source
- Smithsonian Environmental Research Center (SERC).
- Collection Method
- Ground-based measurements of all woody plants within a permanent forest plot.
- Time Range
- null
- Freshness
- null
- Geography
- SERC Tower Forest, Edgewater, Anne Arundel County, Maryland, USA.