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应用DNDC模型模拟关中地区农田长期施肥条件下土壤碳含量及作物产量

陈海心 孙本华 冯浩 赵英 张延

农业环境科学学报Issue(9):1782-1790,9.
农业环境科学学报Issue(9):1782-1790,9.DOI:10.11654/jaes.2014.09.016

应用DNDC模型模拟关中地区农田长期施肥条件下土壤碳含量及作物产量

Simulation of Soil Carbon Contents and Crop Yields in Long-term Fertilized Cropland in Guanzhong Area Using DNDC Model

陈海心 1孙本华 2冯浩 3赵英 4张延2

作者信息

  • 1. 西北农林科技大学水土保持研究所,陕西 杨凌 712100
  • 2. 西北农林科技大学资源环境学院,陕西 杨凌 712100
  • 3. 中国旱区节水农业研究院,陕西 杨凌 712100
  • 4. 国家节水灌溉杨凌工程技术研究中心,陕西 杨凌 712100
  • 折叠

摘要

Abstract

Land use changes may have great impacts on dryland agriculture in the Loess Plateau of China, one of the most fragile agro-e-cosystems in the world. Here we investigated the variation of soil organic carbon(SOC)and crop yields in dryland under long-term different fertilization in Guanzhong plain area during 20 years using DNDC model. There were five treatments including no fertilization control(CK), inorganic fertilizers(NPK), NPK combined with straw(SNPK), NPK combined with low manure(M1NPK), and NPK combined with high manure(M2NPK). In the CK treatment, SOC and crop yields were significantly reduced. The NPK treatment promoted crop production, but had little effect on SOC, which was similar to that in CK. However, both SOC and crop yields were increased in the SNPK, M1NPK and M2NPK treatments, with the greatest effect observed in the M2NPK. These observed data were used to calibrate and verify DNDC model. The model showed good fitting to measured SOC and crop yields, and thus could be used to predict SOC and crop yields dynamics. The pre-diction by the model indicated that combination of inorganic fertilizers and manure could not only enhance crop aboveground and under-ground biomass and heterotrophic respiration, but also increase soil carbon storage. This result would shed light on fertilization practices in this region.

关键词

DNDC模型/施肥/土壤有机碳/碳循环/作物产量

Key words

DNDC model/fertilization/soil organic carbon/carbon cycling/crop yields

分类

农业科技

引用本文复制引用

陈海心,孙本华,冯浩,赵英,张延..应用DNDC模型模拟关中地区农田长期施肥条件下土壤碳含量及作物产量[J].农业环境科学学报,2014,(9):1782-1790,9.

基金项目

国家863计划项目(2013AA102904);国家自然科学基金项目(41001130);高等学校学科创新引智计划资助 ()

农业环境科学学报

OA北大核心CSCDCSTPCD

1672-2043

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