Sentence examples for model of canopy from inspiring English sources

Here we described the rationale, elements, and approaches necessary to build a dynamic systems model of canopy photosynthesis.

An existing model of canopy photosynthesis has been further developed to account for the effect of lodging-induced changes to the canopy architecture on photosynthesis and grain yield.

This study investigates the implementation of an analytical, light-use efficiency (LUE) based model of canopy resistance within a Two-Source Energy Balance (TSEB) scheme driven primarily by thermal remote sensing inputs.

The original model combined features of a mechanistic model of canopy photosynthesis [42], a semi-mechanistic model of stomatal conductance [43], an algorithm on phenology [44], and several soil biogeochemical models [45 47] in a single application.

In order to isolate the effect of each survey characteristic on the resulting point clouds and the height estimated from them, Disney et al. [10] simulated different point clouds for different scenarios defined by modifying a single parameter at a time, using a Monte Carlo Ray trace (MCRT) model of canopy scattering.

In this paper, we introduce a simple individual-based model of canopy structure the ideal tree distribution model, ITD with tree form (height and crown shape), growth plasticity, and space-filling, at its core.

Existing models of canopy photoinhibition can predict the impact of ΦCO2 changes on canopy photosynthesis, using different approaches such as ray tracing within high resolution images of crop canopy structure to track light fluctuations in time according to canopy position (e.g. Ogren 1993; Werner et al. 2001; Zhu et al. 2004; Burgess et al. 2015).

In part, this has been due to a lack of data with which to parameterize models of canopy structure, and/or the effects of canopy structure on the growth, mortality and reproduction of individuals.

Three major model components interact in the simulation of canopy photosynthesis and SIF: (i) The biochemical model simulates leaf gross and net photosynthesis by combining a mechanistic model of C3 photosynthesis54 with an empirical model of stomatal conductance55.

Of the four stand structure parameters in the model, age of canopy trees was most influential for SHDI value, followed by canopy stratification, tree species composition and canopy coverage.

The results demonstrate that a model of percent canopy mortality as a continuous variable can be developed to identify a gradient of mountain pine beetle severity on the landscape.