In this study, we implement a process-based model of nutrient cycling to evaluate temporal changes in ecosystem nutrient dynamics of managed and non-managed forest stands.
We examined the role of the ISN network using an in vitro model of nutrient induced segmentation [9], [10], [29], [30].
We have built a qualitative logical model of nutrient starvation based on Petri nets.
A model including signalling pathways from all three food groups, as outlined above, combined with a whole body model of nutrient flux, and the interactions with oxidative stress outlined here, would be a powerful tool to address the progress of insulin resistance to metabolic syndrome and T2D [ 114], and how fuel use depends on overall nutrient availability and energy expenditure [ 115].
In order to understand resource allocation in cells (and hence diauxic growth), we present here a model of nutrient uptake and metabolism that is based on the PTS system and as such captures the essential aspects of nutrient uptake in bacteria.
This study presents a spatially-explicit framework to support the modelling of nutrients from land to water, encompassing environmental and spatial complexities.
The functions of interest in our model (concentration of nutrients and population sizes) are non-negative functions that have been normalized with respect to maximum allowed quantities, so that the sets of possible values that these variables may take on are subsets of [ 0, 1 ].
These approaches range from simple lumped input output budget, to detailed process-based, spatially distributed models of nutrient transfers.
In [6], deterministic and stochastic models of nutrient-phytoplankton-zooplankton interaction are proposed to investigate the impact of toxin-producing phytoplankton upon persistence of the populations.
This study shows the usage of stream-lateral-dimension aggregation strategy in addressing nutrient distance-decay patterns and developing simple regression models of nutrient loading.
In this paper, dynamic modelling of nutrient flows in a local food-energy-water system is presented and applied to a simplified case study.
