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Surface albedo following biochar application in durum wheat

Lorenzo GenesioInstitute of Biometeorology (IBIMET), National Research Council (CNR), Via Caproni 8, 50145 Firenze, ItalyF. MigliettaFoxLab (Forest and Wood) E Mach Foundation—Iasma, Via E Mach 1, 38010 S Michele all’Adige (Tn), ItalyEmanuele LugatoInstitute of Biometeorology (IBIMET), National Research Council (CNR), Via Caproni 8, 50145 Firenze, ItalySilvia BarontiInstitute of Biometeorology (IBIMET), National Research Council (CNR), Via Caproni 8, 50145 Firenze, ItalyMaurizio PieriConsorzio LAMMA, Regione Toscana, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Fi), ItalyFrancesco Primo VaccariInstitute of Biometeorology (IBIMET), National Research Council (CNR), Via Caproni 8, 50145 Firenze, Italy
2012en
ABI

Annotatsiya

The agronomic use of charcoal from biomass pyrolysis (biochar) represents an interesting
\noption for increasing soil fertility and sequestering atmospheric CO2. However, before moving toward large-scale biochar applications, additional research must evaluate all possible land–atmosphere feedbacks. Despite the increasing number of studies investigating the effect of biochar on soil physical, chemical and biological properties, only a few have been done on
\nsurface albedo variations on agricultural lands. The present work had the aim of characterizing the annual albedo cycle for a durum wheat crop in Central Italy, by means of a spectroradiometer measurement campaign. Plots treated with biochar, at a rate of
\n30–60 t ha1, showed a surface albedo decrease of up to 80% (after the application) with respect to the control in bare soil conditions, while this difference tended to decrease during the crop growing season, because of the prevailing effect of canopy development on the radiometer response. After the post-harvesting tillage, the soil treated with biochar again showed a lower surface albedo value (<20–26% than the control), while the measurements taken in the second year after application suggested a clear decrease of biochar influence on
\nsoil color. The modeling of the surface energy balance highlighted changes in the partitioning of heat fluxes and in particular a substantial increase of ground heat fluxes on an annual basis.

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