Characterization and prediction of hydraulic properties of traffic-compacted forest soils based on soil information and traffic treatments

Authors

Institutions

Publication Details

Journal
Annals of Forest Science
Published
2024-11-07
DOI
https://doi.org/10.1186/s13595-024-01265-4
Citations
2
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and prediction of hydraulic properties of traffic-compacted forest soils based on soil information and traffic treatments

Laurent Lassabatère, Stéphane Ruy, Noémie Pousse, André Chanzy et al.
2 citations
Annals of Forest Science
Soil and Unsaturated Flow
0.52
article

Characterization and prediction of hydraulic properties of traffic-compacted forest soils based on soil information and traffic treatments

Laurent Lassabatère, Stéphane Ruy, Noémie Pousse, André Chanzy, Arnaud Legout, Manon Martin
article en
2 citations

Abstract

No abstract available for this paper.
Annals of Forest ScienceVol. 81(1)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Université d'Avignon et des Pays de Vaucluse (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), École Nationale des Travaux Publics de l'État (FR), EMMAH - Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes
Agence Nationale de la Recherche, Horizon 2020 Framework Programme
Life in Land
Openalex Percentile: Top 35%
Soil and Unsaturated Flow
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.