Stratified random forest sampling by stand density (Pinaceae)

Knowledge graph centered on Stratified random forest sampling by stand density (Pinaceae) with 26 nodes and 99 connections. Top connected: Spruce, Picea engelmannii, Engelmann spruce, Abies lasiocarpa, Abies.

Method synopsis

Stratified random sampling approach that categorizes trees by canopy volume and neighborhood density using kernel density estimation, then randomly selects representatives from each stratum.

Synthesized from method descriptions across 1 paper using this protocol.

Typical Equipment

• QGIS processing toolbox
• Kernel Density Estimation function
• R script for random sampling

Output Measurements

• representative tree sample
• stand density categories

Papers Using This Protocol (1)

Species Studied With This Protocol