Michaelis-Menten tree growth modeling (Plantae)

Knowledge graph centered on Michaelis-Menten tree growth modeling (Plantae) with 32 nodes and 111 connections. Top connected: Rocky Mountain Biological Laboratory, Gothic, Crested Butte, Engelmann Spruce, Populus tremuloides.

Method synopsis

Generalized Michaelis-Menten growth function modeling annual canopy volume change as a function of initial size and environmental covariates, with skewed-t measurement error to account for LiDAR processing uncertainty.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans (2025), Annals of Applied Statistics. Implementations in other papers (listed below) may differ.

1. Growth model parameter estimation
   Downstream growth model fitted using linkage-averaging approach with k=100 randomly sampled iterations from posterior linkage structure and latent locations. Growth defined as change in canopy volume between 2015 and 2019 scans, modeled using generalized Michaelis-Menten function with skewed-t measurement error. Growth clusters restricted to those showing 10% to 60% increase in canopy volume (r1=0.9, r2=1.6) to focus on biologically plausible growth. Environmental covariates and competition indices included as predictors of growth asymptote.
   Quantities: k=100 linkage samples, growth constraints r1=0.9 and r2=1.6 (10-60% volume increase), 4-year growth periodDuration: Growth measured over 4-year period (2015-2019), model fitting conducted using sampled linkage iterationsConditions: Growth analysis restricted to biologically plausible volume changes, excluding mortality and extreme growth
   Equipment: rstanarm R package, NUTS algorithm for MCMC sampling

Typical Equipment

• rstanarm R package

Output Measurements

• growth rates
• growth asymptotes
• environmental effect coefficients

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used