Plasticity as a link between spatially explicit, distance-independent, and whole-stand forest growth models

by   Oscar García, et al.

Models at various levels of resolution are commonly used, both for forest management and in ecological research. They all have comparative advantages and disadvantages, making desirable a better understanding of the relationships between the various approaches. It is found that accounting for crown and root plasticity creates more realistic links between spatial and non-spatial models than simply ignoring spatial structure. The article reviews also the connection between distance-independent models and size distributions, and how distributions evolve over time and relate to whole-stand descriptions. In addition, some ways in which stand-level knowledge feeds back into detailed individual-tree formulations are demonstrated. The presentation intends to be accessible to non-specialists. Study implications: Introducing plasticity improves the representation of physio-ecological processes in spatial modelling. Plasticity explains in part the practical success of distance-independent models. The nature of size distributions and their relationship to individual-tree and whole-stand models are discussed. I point out limitations of various approaches and questions for future research.


page 2

page 4


Autocart – spatially-aware regression trees for ecological and spatial modeling

Many ecological and spatial processes are complex in nature and are not ...

Sequential Spatial Point Process Models for Spatio-Temporal Point Processes: A Self-Interactive Model with Application to Forest Tree Data

We model the spatial dynamics of a forest stand by using a special class...

Gibbs Point Process Model for Young Star Clusters in M33

We demonstrate the power of Gibbs point process models from the spatial ...

Modelling spatially autocorrelated detection probabilities in spatial capture-recapture using random effects

Spatial capture-recapture (SCR) models are now widely used for estimatin...

ForestFit : An R package for modeling tree diameter distributions

Modeling the diameter distribution of trees in forest stands is a common...

Seeing the forest for the trees? An investigation of network knowledge

This paper assesses the empirical content of one of the most prevalent a...

Please sign up or login with your details

Forgot password? Click here to reset