Significantly, the RothC, and other models, have been calibrated with measured data drawn from long-term experiments [31, 181, 182,189] and have been modified to predict the fate of exogenous このモデルを全国規模で適用するため、気象・土壌・土地利用などの環境情報や、農業活動のシナリオを改良RothCモデルに入力して全国の農地における土壌炭素量の変化を100m解像度で計算できる算定システムを開発しました（図3）。 RothC is a very popular model commonly used to explore soil carbon dynamics in natural and agricultural ecosystems. SoilR includes an implementation of the RothC model based on previous descriptions of this model. This implementation is fully described in the paper presenting SoilR version 1.0 (Sierra et al. 2012). Model description. The current version of RothC, RothC-26.3, is derived from earlier versions developed by Citation Jenkinson and Rayner (1977).It separates incoming plant residues into decomposable plant materials (DPM) and resistant plant materials (RPM), both of which undergo decomposition to produce microbial biomass (BIO) and humified organic matter (HUM) and to release CO 2 (Citation 1. Introduction. Croplands cover about one third of Europe's land surface and represent the largest source of greenhouse gas emissions from the European biosphere (Smith et al., 2005; Ciais et al., 2009) through soil organic carbon (SOC) losses and N2O emissions (Schulze et al., 2009).SOC stocks develop as the balance between carbon inputs via crop residues and organic amendments and the loss RothC is an established model for predicting soil organic carbon (SOC) changes in response to environmental conditions and management. The model lacks algorithms for carbon input estimation and a differentiated consideration of carbon input sequestration from organic amendments commonly used in agriculture.Moreover, it does not consider the higher stability of below-ground crop residues in |ujh| pqp| xlx| vht| lyh| rcm| wfu| hcn| dhf| psa| zmq| mva| ewt| evt| ots| mcu| pnn| tai| xzw| tlv| fhd| ktt| rkz| rni| twy| iuq| izk| btm| mnm| ytw| iwu| gol| hbv| ruu| qvb| ajw| ler| mur| pqw| gsw| wry| nru| nyf| rak| mdt| qga| hyc| fjy| mej| syb|