Leaf angle distribution (LAD) is an important plant structural trait that determines radiation interception, biomass production, rainfall interception, and evapotranspiration. LAD has remained one of the most poorly constrained parameters and a major source of uncertainty in ecological models due...

The case study of 'Bosco Fontana', a densely-vegetated forest located in the north of Italy, is analysed both experimentally and numerically to characterise the internal ventilation of a finite forest with a vertically non-homogeneous canopy. Measurements allow for the evaluation of the turbulent...

Quantifying the effects of environmental variables on radial growth has real significance for reasonably predicting the impacts of environmental changes on tree dynamics. This study used Picea crassifolia, a widely distributed dominant evergreen coniferous tree species found on the north-eastern...

This article addresses the appropriate place for and design of climate services drawing upon a case study of three different forms of climate service delivery in a coastal landscape in Northern Germany. Each of these forms addresses different audiences and provides different types of knowledge...

The value of climate information has been explored by various scholars and in various sectors, but its operational use, particularly in water resources management, in countries like Brazil remains limited. This article describes climate and inflow forecast systems used in the process of water...

The Moroccan road network is susceptible to multiple landslides annually, particularly in the northern regions due to high rainfall and specific geology. These events result in significant economic and social negative consequences, highlighting the need for sustainable and cost-effective solutions...

Agriculture has now opened its door to robotic and automated applications including in primary production. This study presents perspectives of several stakeholder groups regarding use of robots in field crop operations, with a focus on expectations and concerns. Data was collected through farmer...

In explanatory statistics, training data constitute the most significant input since they determine the reliability and accuracy of the output predictive models. In Landslide Susceptibility Mapping (LSM), such data is derived from landslides inventory maps (LIM) that feed the algorithms information ...

The aim of this study is to analyse the effects of reservoir operating scenarios, for flood damage evaluation downstream of a dam, using a Monte Carlo bivariate modelling chain. The proposed methodology involves a stochastic procedure to calculate flood hydrographs and the evaluation of the...

In the process of tunnel construction, the water inrush disaster is one of the main engineering geological disasters. In karst strata, different types of water-bearing structures or karst water bodies develop and occur in the soluble rock layer, and tunnel excavation easily forms new drainage...