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作 者:Francis Matthews Gert Verstraeten Pasquale Borrelli Panos Panagos
机构地区:[1]European Commission,Joint Research Centre(JRC),Ispra,Italy [2]Department of Earth and Environmental Sciences,KU Leuven,Belgium [3]Department of Science,Roma Tre University,00146,Rome,Italy
出 处:《International Soil and Water Conservation Research》2023年第1期43-59,共17页国际水土保持研究(英文)
摘 要:The crop cover-management(C-)factor in arable landscapes describes the soil erosion susceptibility associated with seasonally cultivated crops.Previous informatic and computational limitations have led many modelling studies to prescribe C-factor values and assume spatial and temporal stationarity.However,the multiple influencing factors ranging from parcel-scale crop cultivation and management to regional-scale rainfall regimes motivates new methods to capture this variation when identifying at-risk areas.Here,we define a multi-component method to derive the C-factor by associating time series of canopy and residue surface cover from Sentinel-2 and climate-specific rainfall erosivity with Integrated Administration and Control System(IACS)field parcel data from European Union member states.A scalable and standardised method is emphasised to increase the future interoperability and inter-comparability of soil erosion modelling studies deploying the C-factor.Additionally,field parcel simu-lation units with associated crop declarations provide a new reference scale to link predictions of soil erosion risk with specific management decisions and declarations by farmers.After implementing the method on a homogenised subsample of 8600 field parcels covering available IACS regions,several key findings are outlined:1)time series information provides new opportunities to predict the time-criticality of erosion in specific crop cultivations,2)the varying(a-)synchronicity between seasonal crop canopy cover and heavy rainstorms means that spatial variability is inherent within the C-factor across Europe,and 3)the addition of agricultural management practices(e.g.tillage practice de-scriptions)to open-access IACS repositories can facilitate more comprehensive evaluations of the C-factor and soil erosion risk.
关 键 词:C-FACTOR Soil erosion Modelling Remote sensing Crop-phenology IACS data Soil conservation EUROPE
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