Kiril Manevski
Kiril Manevski has a PhD in agroecology (plant and soil) from Aarhus University, Denmark. He previously studied environmental engineering at the University "Ss. Cyril and Methodius" in Skopje, Macedonia, as well as remote sensing of the environment at the Mediterranean Agronomic Institute of Chania in Greece. Apart from remote sensing of vegetation and discriminant analyses, his research interest is in process-based modelling of carbon and nitrogen flows and transformations in the Soil-Vegetation-Atmosphere Transfer system, regional scale environmental analyses and scale issues.
Address: Viborg, Midtjylland, Denmark
Address: Viborg, Midtjylland, Denmark
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Papers by Kiril Manevski
In a three-year study, two types of novel systems, i) a rotation of annual crops optimised for maximum biomass production (maize, beet, hemp/oat, triticale as main crops, and winter rye and winter oilseed rape as “second” - cover crops), and ii) perennial grasses (intensively fertilised (festulolium, reed canary grass, tall fescue and cocksfoot), low-fertilised (miscanthus) and unfertilised (grass-legume mixtures)), were compared with iii) traditional systems (continuous maize or triticale, and a cereal crop rotation) at two sites in Denmark varying in temperature, rainfall and soil type (sandy loam and coarse sand). Harvested biomass N and soil nitrate dynamics, as well as model-supported nitrate leaching and field surface N balance (input minus output) of the systems were compared.
At each study site, the fertilised perennial grasses outperformed all other systems by doubling biomass N and reducing nitrate leaching by 70–80% compared to the traditional systems. Compared to continuous maize monoculture, the optimised rotation supplied 70% more biomass N and 40% less nitrate leaching on coarse sandy soil, whereas on sandy loam soil it yielded about 10% less biomass N with 50% less nitrate leaching. Field surface N balances were overall neutral/positive, except for festulolium and continuous maize monoculture that slightly mined the soil for N. When N losses by leaching, denitrification and volatilisation were included, soil total N stocks were estimated to decline for the majority of the systems at both sites.
In a three-year study, two types of novel systems, i) a rotation of annual crops optimised for maximum biomass production (maize, beet, hemp/oat, triticale as main crops, and winter rye and winter oilseed rape as “second” - cover crops), and ii) perennial grasses (intensively fertilised (festulolium, reed canary grass, tall fescue and cocksfoot), low-fertilised (miscanthus) and unfertilised (grass-legume mixtures)), were compared with iii) traditional systems (continuous maize or triticale, and a cereal crop rotation) at two sites in Denmark varying in temperature, rainfall and soil type (sandy loam and coarse sand). Harvested biomass N and soil nitrate dynamics, as well as model-supported nitrate leaching and field surface N balance (input minus output) of the systems were compared.
At each study site, the fertilised perennial grasses outperformed all other systems by doubling biomass N and reducing nitrate leaching by 70–80% compared to the traditional systems. Compared to continuous maize monoculture, the optimised rotation supplied 70% more biomass N and 40% less nitrate leaching on coarse sandy soil, whereas on sandy loam soil it yielded about 10% less biomass N with 50% less nitrate leaching. Field surface N balances were overall neutral/positive, except for festulolium and continuous maize monoculture that slightly mined the soil for N. When N losses by leaching, denitrification and volatilisation were included, soil total N stocks were estimated to decline for the majority of the systems at both sites.
In Denmark, the model performed well at both sites, though simulated residual soil mineral N in loamy sand was in better agreement with the field data than that in coarse sand. The high maize N uptake principally underestimated residual soil mineral N on coarse sand. Higher simulated mineralization during maize growth may thus be necessary. The successfully established catch crops decreased N leaching, especially from coarse sand, but also reduced yields at low fertilizer rates.
After thorough crop calibration for the local climate and soil conditions in North China Plain, DAISY was able to simulate aboveground biomass and N, soil nitrate levels and N leaching. The model responded well on different N fertilization rates, though overestimated nitrate levels in the deeper soil, compared to the measurements. Field and model results also demonstrated options for reducing the current high N inputs used in the North China Plain without affecting grain yield."