Mots-clés
Analyse de régression ; Australie ; Couverture végétale ; Domaine aride ; Domaine semi-aride ; Erosion des sols ; Erosion hydrique ; New South Wales ; Propriétés du sol ; Rugosité ; Seuil ; Simulation de pluieArid area ; Australia ; New South Wales ; Plant cover ; Rainfall simulation ; Regression analysis ; Roughness ; Semi-arid area ; Soil erosion ; Soil properties ; Threshold ; Water erosionAnálisis de regresión ; Australia ; Campo semiárido ; Campo árido ; Cobertura vegetal ; Erosión de los suelos ; Erosión hídrica ; Nuevas Gales del Sur ; Propiedades del suelo ; Rugosidad ; Simulacíon de lluvia ; UmbralHydrological thresholds of soil surface properties identified using conditional inference tree analysis
Auteur(s) et Affiliation(s)
TIGHE, M.
Agronomy and Soil Science, School of Environmental and Rural Science, Univ. of New England, Armidale, Australie
MUÑOZ-ROBLES, C.
Agronomy and Soil Science, School of Environmental and Rural Science, Univ. of New England, Armidale, Australie
Inst. de Ecología, Veracruz, Mexique
REID, N.
Ecosystem Management, School of Environmental and Rural Science, Univ. of New England, Armidale, Australie
WILSON, B.
Ecosystem Management, School of Environmental and Rural Science, Univ. of New England, Armidale, Australie
NSW Office of Environment and Heritage, Armidale, Australie
BRIGGS, S.V.
Inst. for Applied Ecology, Univ., Canberra, Australie
Description :
The study sites were in the Cobar Pediplain region of semi-arid New South Wales, Australia. In order to quantify ground cover and soil related thresholds for runoff and sediment production, the AA. used a data mining technique known as conditional inference tree analysis to determine statistically significant values of a range of measured variables that predicted average runoff, peak runoff, sediment concentration and sediment production at the microscale. The analysis presented here identified the critical role of soil surface roughness, particularly where total ground cover is sparse. The analysis also provided evidence that a two-phase mosaic of patches and inter-patches identified via rapid visual assessment could be further delineated into distinct groups of hydrological response, or a multi-phase rather than a two-phase system. The approach used here may aid in assessing scale-dependent responses and address data non-linearity in studies of semi-arid hydrology.
Type de document :
Article de périodique
Source :
Earth surface processes and landforms, issn : 0197-9337, 2012, vol. 37, n°. 6, p. 620-632, nombre de pages : 13, Références bibliographiques : 58 ref.
Date :
2012
Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley
Langue :
Anglais
Anglais
Droits :
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Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)