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Contribution of phytoecological data to spatialize soil erosion:Application of the RUSLE model in the Algerian atlas

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International Soil and Water Conservation Research 2021年第4期9卷 502-519页

作者： Lynda Boussadia-Omari Sylvain Ouillon Aziz Hirche Mustapha Salamani Mohamed Said Guettouche Akli Ihaddaden Dalila Nedjraoui University of Science and Technology Houari Boumediene(USTHB) Faculty of BiologyLaboratory of Plant Ecology and Environment(EVE)BPN°32 El AliaBab EzzouarAlgerAlgeria LEGOS IRDCNRSCNESUPSUniversity of ToulouseToulouseFrance University of Science and Technology of Hanoi(USTH) Vietnam Academy of Science and Technology(VAST)HanoiViet Nam University of Science and Technology Houari Boumediene Faculty of Earth SciencesGeography and Spatial PlanningLaboratory of Geomorphology and Georisk(G&G)AlgerAlgeria

Among the models used to assess water erosion,the RUSLE model is commonly *** makers can act on cover(C-factor)and conservation practice(P-factor)to reduce erosion,with less costly action on soil surface ***,the widespread use of vegetation indices such as NDVI does not allow for a proper assessment of the C-factor in drylands where stones,crusted surfaces and litter strongly influence soil *** sub-factors of C,canopy cover(CC)and soil cover(SC),can be assessed from phytoecological measurements that include gravel-pebbles cover,physical mulch,annual and perennial *** paper introduces a method to calculate the C-factor from phytoecological data and,in combination with remote sensing and a geographic information system(GIS),to map it over large areas.A supervised classification,based on field phytoecological data,is applied to radiometric data from landsat-8/OLI satellite ***,a C-factor value,whose SC and CC subfactors are directly derived from the phytoecological measurements,is assigned to each land cover *** method and RUSLE are implemented on a pilot region of 3828 km^(2) of the Saharan Atlas,composed of rangelands and steppe formations,and intended to become an *** protective effect against erosion by gravel-pebbles(50%)is more than twice that of vegetation(23%).The C-factor derived from NDVI(0.67)is higher and more evenly distributed than that combining these two contributions(0.37 on average).Finally,priorities are proposed to decision-makers by crossing the synthetic map of erosion sensitivity and a decision matrix of management priorities.

关键词： Water erosion Vulnerability Remote sensing land-use mapping Aridity Soil protection Algerian atlas

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