The pace of on-going climate change calls for reliable plant biodiversity scenarios. Traditional dynamic vegetation models use plant functional types that are summarized to such an extent that they become meaningless for biodiversity scenarios. Hybrid dynamic vegetation models of intermediate complexity (hybrid-DVMs) have recently been developed to address this issue. These models, at the cross...

Global change affects alpine ecosystems by, among many effects, by altering plant distributions and community composition. However, forecasting alpine vegetation change is challenged by a scarcity of studies observing change in fixed plots spanning decadal-time scales. We present in this article a probabilistic modeling approach that forecasts vegetation change on Niwot Ridge, CO using plant ab...

A nonlinear experimental pH neutralization plant is controlled using a neural networks based Approximate Predictive Control (APC) strategy. First a closed-loop identification is performed, further, using neural networks, a black-box modeling of the experimental plant is conducted. Then the approximate predictive controller is realized, where a linear model of the plant is extracted at each samp...