In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …

Understanding the processes that shape forest functioning, structure, and diversity remains
challenging, although data on forest systems are being collected at a rapid pace and across …

An imperative aspect of agricultural planning is accurate yield prediction. Artificial
Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective …

The EU aims at reaching carbon neutrality by 2050 and Finland by 2035. We integrated
results of three spatially distributed model systems (FRES, PREBAS, Zonation) to evaluate …

Accurate modelling of drought‐induced mortality is challenging. A steady‐state model is
presented integrating xylem and phloem transport, leaf‐level gas exchange and plant …

The phenology of wood formation is a critical process to consider for predicting how trees
from the temperate and boreal zones may react to climate change. Compared to leaf …

The response of forest productivity to climate extremes strongly depends on ambient
environmental and site conditions. To better understand these relationships at a regional …

Prediction of building energy use, when performed at urban scale, is influenced by the
choice of modelling approach, as well as the quality of available data. In the case of data …

The paper is a scientiic commented discussion with the aim of deining a framework which
allows both a comprehensive vision of forest dynamics, as well as an adaptive management …

There is increasing evidence that the impact of climate change on the productivity of
grasslands will at least partly depend on their biodiversity. A high level of biodiversity may …