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DNDC模型预测新疆灰漠土农田有机碳的动态变化
引用本文:韩东亮,贾宏涛,朱新萍,许咏梅,韩雅娇.DNDC模型预测新疆灰漠土农田有机碳的动态变化[J].资源科学,2014,36(3):577-583.
作者姓名:韩东亮  贾宏涛  朱新萍  许咏梅  韩雅娇
作者单位:新疆农业大学草业与环境科学学院, 乌鲁木齐 830052;新疆农业大学草业与环境科学学院, 乌鲁木齐 830052;新疆农业大学草业与环境科学学院, 乌鲁木齐 830052;中国农科院农业资源与农业区划研究所, 北京 100086;新疆农科院绿洲养分与水土资源高效利用重点实验室, 乌鲁木齐 830091;新疆农业大学草业与环境科学学院, 乌鲁木齐 830052
基金项目:国家自然科学基金(编号:41061035);中国科学院战略性先导科技专项(编号:XDA05050504);新疆自治区科技援疆项目(编号:201191140)。
摘    要:以国家灰漠土肥力与肥料效益观测试验站22年长期定位试验监测数据为基础,利用DNDC模型对9个不同施肥处理的耕层(0~20cm)土壤有机碳(SOC)演变进行模拟和验证,并预测了未来30年(2010-2040)SOC的变化趋势;同时也对CO2的释放量和变化速率进行了模拟,结果表明:①DNDC模型能较好地模拟不同施肥条件下土壤有机碳动态变化规律,模拟结果与实测结果显著相关(P0.01);②模型模拟结果显示,持续施用氮磷钾肥(NPK)不能使SOC含量提高;而氮磷钾肥配施有机肥(NPKM)或秸秆(NPKS)可使SOC含量比2010年分别增加37.1%和8.81%;③虽然土壤有机碳升高越快CO2-C的排放量也增加,但有机碳变化率超过25.1%时则表现为CO2的固定。因此,采用合理的有机肥配施措施,能加速土壤有机碳的提升速率,在降低CO2排放的同时,实现土壤肥力的快速提升。

关 键 词:DNDC模型  灰漠土  土壤有机碳  模拟  新疆

Using a DNDC Model to Predict Soil Organic Carbon Dynamics in a Gray Desert Soil Farmland
HAN Dongliang,JIA Hongtao,ZHU Xinping,XU Yongmei and HAN Yajiao.Using a DNDC Model to Predict Soil Organic Carbon Dynamics in a Gray Desert Soil Farmland[J].Resources Science,2014,36(3):577-583.
Authors:HAN Dongliang  JIA Hongtao  ZHU Xinping  XU Yongmei and HAN Yajiao
Institution:College of Grassland and Environmental Sciences, Xinjiang Agricultural University, Urumqi 830052, China;College of Grassland and Environmental Sciences, Xinjiang Agricultural University, Urumqi 830052, China;College of Grassland and Environmental Sciences, Xinjiang Agricultural University, Urumqi 830052, China;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100086, China;Key laboratory of the oasis of nutrient and soil and water resourse, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China;College of Grassland and Environmental Sciences, Xinjiang Agricultural University, Urumqi 830052, China
Abstract:Using a 22-year data set from the National Gray Desert Soil Fertility and Fertilizer Efficiency Observing Station and a DNDC model,soil organic carbon(SOC)dynamics at the top horizon(0~20cm)of nine fertilization treatments were simulated and verified. SOC changes over 30 years were also predicted. Results show that the DNDC model can simulate SOC dynamics under different fertilizer conditions and that simulated and measured results are correlated. Within 30 years,simply fertilizing with N + P + K could not improve SOC significantly,the SOC CK (without fertilizer),P+K(without N fertilizer)treatments fell by 4.76% and 4.64%,and the N alone,N+K(without P fertilizer)and N+P(without K fertilizer)treatments increased by 2.25%, 1.50% and 5.24%,respectively. SOC in nitrogen treatments(N,N+P,N+K,N+P+K)remained the same or grew over 30 years,which shows that nitrogen was still the primary factor affecting carbon balance. Treatments such as N+P+K+M(M,manure at normal application rate)and N+P+K+S(S, plant residue returned)and high N+P+K+M(manure at increased application rate)increased SOC by 37.1% and 8.81% and 39.6%,respectively. Long-term manure and plant residue combined with chemicals enhanced the content of organic carbon fractions and improved the fertility of gray desert soil. Although a larger SOC increase coincided with higher CO2-C emissions,CO2 fixation would become the major process when the rate of change in SOC is above 25.1%. Therefore, reasonable fertilization treatment could facilitate SOC sequestration and reduce CO2 emissions.
Keywords:DNDC model  grey desert soil  soil organic carbon  simulation
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