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Y. Le Bissonnais

Researcher at SupAgro

Publications -  69
Citations -  7862

Y. Le Bissonnais is an academic researcher from SupAgro. The author has contributed to research in topics: Surface runoff & Erosion. The author has an hindex of 39, co-authored 67 publications receiving 7001 citations. Previous affiliations of Y. Le Bissonnais include Institut national de la recherche agronomique & University of Montpellier.

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Aggregate stability and assessment of soil crustability and erodibility: I. Theory and methodology

TL;DR: In this paper, a unified framework for the measurement of aggregate stability is proposed to assess a soil's susceptibility to crusting and erosion, which combines three treatments having various wetting conditions and energies (fast wetting, slow wetting and stirring after pre-wetting).
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Organic Matter Influence on Clay Wettability and Soil Aggregate Stability

TL;DR: In this paper, the contribution of organic matter to aggregate stability by decreasing aggregate wettability and the specific role of clay-associated organic matter was assessed by measuring water drop penetration times on individual 3-to 5-mm aggregates.
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Modeling Response of Soil Erosion and Runoff to Changes in Precipitation and Cover

TL;DR: In this article, the response of seven soil erosion models to a few basic precipitation and vegetation related parameters using common data from one humid and one semi-arid watershed was investigated, and the results suggest that there is a significant potential for climate change to increase global soil erosion rates unless offsetting conservation measures are taken.
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Aggregate stability and assessment of soil crustability and erodibility: II. Application to humic loamy soils with various organic carbon contents

TL;DR: In this article, surface crusting results from aggregate breakdown under raindrop impact was investigated. And the relationship between aggregate breakdown, crusting and infiltration enabled the authors to predict soil physical behaviour from measurements of aggregate stability which are easier to make than direct measurements under rainfall.