Concept

Compaction du sol

Publications associées (32)

Using PhenoCams to track crop phenology and explain the effects of different cropping systems on yield

CONTEXT: Crop phenology integrates information of how environmental drivers and management practices affect plant performance and crop yield. However, little is known about the impact of cropping systems (CS) on crop phenology and how this relates to diffe ...

ELSEVIER SCI LTD2022

Vegetation Drastically Reduces Wind Erosion: An Implementation of the RWEQ in the Mongolian Gobi Steppe

Charlotte Gisèle Weil

Soil loss prevention is an important ecosystem service for protecting human and environmental health. Using spatiotemporal climate and environmental data of the Eastern Gobi Steppe, a region missing from previous studies of Mongolian wind-based soil erosio ...

MDPI2022

Soil nutrient availability alters tree carbon allocation dynamics during drought

Leonie Corine Schönbeck

Drought alters allocation patterns of carbon (C) and nutrients in trees and eventually impairs tree functioning. Elevated soil nutrient availability might alter the response of trees to drought. We hypothesize that increased soil nutrient availability stim ...

2020

A machine learning approach for mapping the very shallow theoretical geothermal potential

Jean-Louis Scartezzini, Dan Assouline, Nahid Mohajeri Pour Rayeni

The very shallow geothermal potential (vSGP) is increasingly recognized as a viable resource for providing clean thermal energy in urban and rural areas. This is primarily due to its reliability, low-cost installation, easy maintenance, and little constrai ...

SPRINGEROPEN2019

Effects of drought on the effectiveness of Phalaris arundinacea and Impatiens glandulifera in building up soil aggregates – a microcosm approach

Thomas George McMullin

Near natural floodplain ecosystems are not only stressed by frequent inundations over a year but also by periodical droughts in summer due to their reduced water retention capacity. To maintain floodplain habitats as biodiversity hotspots, a stable soil st ...

2017

Improving slash-and-burn agriculture in Central Menabe, Madagascar

Justine Marie Gay des Combes

Slash-and-burn agriculture is considered as an important driver of deforestation in the tropics. In Madagascar, a biodiversity hotspot, this type of agriculture particularly threatens the tropical forest cover. On the south-western coast of the island, in ...

EPFL2017

Effects of flooding on phosphorus and iron mobilization in highly weathered soils under different land-use types: Short-term effects and mechanisms

Thomas Guillaume

The strong affinity of phosphorus (P) to iron (Fe) oxides and hydroxides in highly weathered tropical soils limits P availability and therefore plant productivity in tropics. In flooded soils, however, P fixed by Fe oxides and hydroxides can be released in ...

Elsevier Science Bv2017

Hysteretic sediment fluxes in rainfall-driven soil erosion: Particle size effects

David Andrew Barry, Seifeddine Jomaa, Mohsen Cheraghi

A detailed laboratory study was conducted to examine the effects of particle size on hysteretic sediment transport under time-varying rainfall. A rainfall pattern composed of seven sequential stepwise varying rainfall intensities (30, 37.5, 45, 60, 45, 37. ...

American Geophysical Union2016

Accounting for evolving pore size distribution in water retention models for compacted clays

Anne-Catherine Adolphine M Dieudonné

Water retention in compacted clays is dominated by multi-modal pore size distribution which evolves during hydro-mechanical paths depending on water content and stress history. A description of the evolutionary fabric has been recently introduced in models ...

Wiley-Blackwell2015

Estimation of Soil Moisture from Airborne Hyperspectral Imagery with Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we propose to estimate soil moisture in bare soils directly from hyperspectral imagery using support vector regression (nu-SVR). nu-SVR is a supervised non-parametric learning technique, e.g. making no assumption on the underlying data distr ...

2013

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