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Climate-Determined Changes of Organic Carbon Stocks in the Arable Chernozem of Kursk Region

机译:Kursk地区可耕地的气候碳股的气候变化

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Two biogeochemical simulation models describing carbon turnover in soil, the DeNitrification-DeComposition (DNDC) model and the Rothamsted Long-Term Field Experiment Carbon (RothC) model, have been parameterized in accordance with the conditions of arable leached chernozems of Kursk region and validated based on soil CO2 emission measurement data at Kursk Biosphere Station, Institute of Geography, Russian Academy of Sciences, as a case study on five crops: winter wheat, barley, corn, sunflower, and potato. The modeling has served to reconstruct dynamics of organic carbon content in soil (SOC) over the period of 1990-2018. The RothC model generated the region-specific characteristics of SOC losses, which primarily depend on the weather conditions at an average rate of 342 +/- 54 kg C/ha year. The outcomes of the DNDC model are more crop-specific and demonstrate maximal SOC losses under corn (272 kg C/ha year) and maximal accumulation under winter wheat (266 kg C/ha year). The period was characterized by a steady increase in heat supply, including the annual average air temperature (0.68 degrees C/10 years) and growing degree-days (224 degrees C day/10 years). The coefficients of variation of the precipitation and moisture indices in the region exceed 20% over the period. The arable chernozems of Kursk region is characterized by moderate and strong positive correlations between the SOC dynamics and thermal environment conditions including growing degree-days, Selyaninov hydrothermal coefficient, Sapozhnikova moisture index. The contribution of warm-period precipitation is less significant.
机译:描述土壤中碳转换的两种生物地球化学仿真模型,脱氮 - 分解(DNDC)模型和Rothamsted长期场实验碳(ROTHC)模型,根据Kursk Region的可浸出的Chernozems的条件进行了参数化,并基于验证俄罗斯科学院地理研究所土壤二氧化碳排放测量数据,以俄罗斯科院地理研究所为例,为五种作物:冬小麦,大麦,玉米,向日葵和土豆。该建模在1990 - 2018年期间,在土壤(SOC)中重建了有机碳含量的动态。 ROTHC模型产生了SOC损失的特定区域特征,主要依赖于342 +/- 54公斤C / HA年的天气条件。 DNDC模型的结果更具成分特异性,并在玉米(272千克C / HA年)下显示最大的SoC损失,并在冬小麦下的最大积累(266千克C / HA年)。该期间的特征在于供热稳步增加,包括年均空气温度(0.68℃/ 10年)和生长程度 - 天(224摄氏度/ 10年)。该区域中沉淀和水分索引的变化系数超过了该时段的20%。 Kursk地区的可耕地攻击区的特征在于Soc动力学和热环境条件之间的中等和强的正相关性,包括生长度天,Selyaninov水热系数,Sapozhnikova湿度指数。暖期降水的贡献不太重要。

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