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Validation of the CANDY model with Russian long-term experiments 总被引:1,自引:1,他引:0
The CANDY model has been qualitatively assessed for simulating long-term dynamics of soil organic carbon and tested against
different long-term experiments representing various land uses and geographical sites, but never before against conditions
of the Former Soviet Union (FSU). Our goal was to simulate long-term trends in soil organic carbon for the long-term experiments
of Barybino (Moscow region, Russia), Grakov (Kharkow region, Ukraine) and Yachenka (Minsk region, Belarus) representing the
predominant arable soil types, climate conditions and typical management strategies for the investigated arable areas. The
fit of modelled results to the observed data was evaluated to assess the suitability of the model for further applications
in the FSU. The crop parameters of the CANDY model had to be adapted to the low yields observed under the Russian site conditions
resulting in a higher sensitivity to crop-derived carbon input as a function of yield. The results show that the approach
of treating the organic carbon situated in micro pores as inert, is an applicable solution for simulating soil carbon dynamics
under Russian conditions. This evaluation of CANDY, against long-term experiments from Russia, gives confidence for its wider
application in this region. 相似文献
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P. Smith J. U. Smith U. Franko K. Kuka V. A. Romanenkov L. K. Shevtsova M. Wattenbach P. Gottschalk O. D. Sirotenko D. I. Rukhovich P. V. Koroleva I. A. Romanenko N. V. Lisovoi 《Regional Environmental Change》2007,7(2):105-119
Three soil carbon models (RothC, CANDY and the Model of Humus Balance) were used to estimate the impacts of climate change
on agricultural mineral soil carbon stocks in European Russia and the Ukraine using detailed spatial data on land-use, future
land-use, cropping patterns, agricultural management, climate and soil type. Scenarios of climate were derived from the Hadley
Centre climate Version 3 (HadCM3) model; future yields were determined using the Soil–Climate–Yield model, and land use was
determined from regional agricultural and economic data and a model of agricultural economics. The models suggest that optimal
management, which entails the replacement of row crops with other crops, and the use of extra years of grass in the rotation
could reduce Soil organic carbon (SOC) loss in the croplands of European Russia and the Ukraine by 30–44% compared to the
business-as-usual management. The environmentally sustainable management scenario (SUS), though applied for a limited area
within the total region, suggests that much of this optimisation could be realised without damaging profitability for farmers. 相似文献
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