Concept

Classification de la végétation

Publications associées (55)

Stability Analysis of Submerged Vegetation Patterns in Rivers

Aquatic vegetation in fluvial systems is often characterized by spatial patterning of the plant patches. To investigate the conditions for the formation of vegetation patches, we explore the stability of a uniform flow over a non-erodible bed with a unifor ...

2022

On the benefit of concurrent adjustment of active and passive optical sensors with GNSS & raw inertial data

Jan Skaloud, Davide Antonio Cucci, Kyriaki Mouzakidou

In airborne laser scanning a high-frequency trajectory solution is typically determined from inertial sensors and employed to directly geo-reference the acquired laser points. When low-cost MEMS inertial sensors are used, such as in lightweight unmanned ae ...

2022

Effects of vegetation at a bar confluence on river hydrodynamics: The case study of the Arno River at Greve junction

Giulio Calvani

River bars often form at river confluences due to variation in flow discharges or in sediment transport capacity; once these bars are grown, they constitute favourable habitats for vegetation development. In this work, we analysed the effect of vegetation ...

2021

Vegetation cover and plant-trait effects on outdoor thermal comfort in a tropical city

Gabriele Manoli, Paolo Burlando

An increase in urban vegetation is an often proposed mitigation strategy to reduce urban heat and improve outdoor thermal comfort (OTC). Vegetation can alter urban microclimate through changes in air temperature, mean radiant temperature, humidity, and win ...

2021

Groundwater Buffers Drought Effects and Climate Variability in Urban Reserves

Gabriele Manoli

Groundwater can have a critical role in sustaining the functioning of natural ecosystems during droughts, especially in dry and seasonally dry climates. However, the response to droughts of ecosystems embedded in urban areas is not well known. This study i ...

2020

Biomorphological scaling laws from convectively accelerated streams

Paolo Perona, Giulio Calvani, Coralie Schick

Worldwide convectively accelerated streams flowing in downstream-narrowing river sections show that riverbed vegetation growing on alluvial sediment bars gradually disappears, forming a front beyond which vegetation is absent. We revise a recently proposed ...

2019

Spontaneous ecological recovery of vegetation in a red gypsum landfill: Betula pendula dominates after 10 years of inactivity

François Gillet

Red gypsum is the product of the neutralization of titanium dioxide (TiO2) extraction residue from ilmenite and anatase. The disposal of red gypsum creates heterogeneous plots with layers that may include Fe, Ca, Al, Mg, Mn, S, and other elements and an al ...

ELSEVIER SCIENCE BV2019

A review of modeling the effects of vegetation on large wood recruitment processes in mountain catchments

Paolo Perona, Massimiliano Schwarz

Large wood (LW) is an important element in riparian and mountain ecosystems and influences geomorphic controls, particularly in torrents and mountain rivers. Despite several advantages, LW can also exacerbate flood damage near infrastructure due to logjams ...

2019

Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain

Fernando Porté Agel, Alexandre Buttler, François Golay, Jiannong Fang, Alexander Ludwig Johannes Peringer

Many mountainous regions with high wind energy potential are characterized by multi-scale variabilities of vegetation in both spatial and time dimensions, which strongly affect the spatial distribution of wind resource and its time evolution. To this end, ...

2018

Integrating models across temporal and spatial scales to simulate landscape patterns and dynamics in mountain pasture-woodlands

Alexander Ludwig Johannes Peringer

Context Pasture-woodlands are semi-natural landscapes that result from the combined influences of climate, management, and intrinsic vegetation dynamics. These landscapes are sensitive to future changes in land use and climate, but our ability to predict t ...

Springer2017

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