• 首页 | 主办单位 | 期刊简介 | 编委会 | 作者指南 | 刊物订阅 | 下载中心 | 联系我们 | English | 期刊界
引用本文:税伟,吴朝玮,付银.基于DNDC的茶园土壤碳素空间分异及其影响因素——以福建省安溪县为例[J].中国农业资源与区划,2022,43(7):232~242
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 43次   下载 46 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于DNDC的茶园土壤碳素空间分异及其影响因素——以福建省安溪县为例
税伟,吴朝玮,付银
福州大学环境与安全工程学院,福建福州 350108
摘要:
目的 通过探究福建省安溪县茶园土壤碳素储量,揭示各碳素指标的空间分异特征及其关键影响因子,有助于为减少茶园温室气体排放和建设生态茶园提供决策支撑。方法 文章运用反硝化分解(denitrification decomposition, DNDC)模型和空间统计分析方法对茶园土壤碳素进行模拟和研究。结果 (1)经过参数率定的DNDC模型对茶园土壤碳素动态循环的模拟具有较好的适用性;(2)安溪茶园土壤有机碳含量丰富,土壤肥力较好。凋落物输入碳是茶园土壤碳素输入的主要来源,平均输入量为505.52 kg/hm2,而通过呼吸作用转化为CO2排放是茶园土壤碳素输出的重要途径,平均CO2排放量为883.78 kg/hm2;(3)茶园SOC10~20cm量、凋落物输入碳量、CH4排放量、CO2排放量均呈现空间聚集分布特征,主要分布在安溪县西部的低山与中低山地区;(4) 初始土壤属性中黏粒含量和土壤有机碳含量是影响安溪县茶园土壤碳素空间分异的关键因子,其中土壤黏粒含量对茶园土壤CO2排放量和CH4排放量的影响最强且负向作用效果明显。结论 安溪县西部等低山和中低山区域土壤肥力较好,但亦应谨慎对待该区域温室气体排放量较大的问题,可采用茶园合理的管理方式权衡茶园土壤碳素输入和温室气体排放的关系。
关键词:  DNDC  安溪茶园  空间统计分析  碳素模拟  温室气体
DOI:10.7621/cjarrp.1005-9121.20220723
分类号:X171.1
基金项目:国家重点研发计划项目“闽三角城市群生态安全保障及海岸带生态修复技术”(2016YFC0502905)
SPATIAL DIFFERENTIATION AND INFLUENCING FACTORS OF SOIL CARBON IN THE TEA PLANTATION BASED ON DNDC MODEL——A CASE STUDY OF ANXI COUNTY, FUJIAN PROVINCE
Shui Wei, Wu Chaowei, Fu Yin
College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350108, Fujian, China
Abstract:
Soil carbon stocks in tea plantations in Anxi county, Fujian province, China, are explored to reveal the spatial differentiation of carbon indices and related key influencing factors, which provides macroscopic decision-making support for reducing greenhouse gas emissions from tea plantations and building ecological tea plantations. The denitrification decomposition (DNDC) model and spatial statistical analysis were used to simulate and explore soil carbon dynamics cycle in tea plantations. The results showed that: (1) The DNDC model validated by parameter showed preferably applicability of the simulation of the soil carbon dynamics cycle in tea plantations. (2) The tea plantations in Anxi county boasted rich content of SOC and fertile soil. Litter input carbon was the main source of soil carbon input, averaging 505.52 kg/hm2, and the conversion from respiratory action to CO2 emission was the main way to export soil carbon, averaging 883.78 kg/hm2. (3) The content of SOC10~20cm, litter input carbon, CH4 emission and CO2 emission of tea plantation showed spatial aggregation distribution characteristics, which mainly distributed in low mountain and mid-low mountain areas of western Anxi county. (4) Soil clay content and soil organic carbon content in the initial soil properties were the key factors influencing the spatial differentiation of soil carbon in tea plantations in Anxi county. The strongest and negative effect of soil initial clay content on soil CO2 emissions and CH4 emissions from tea plantations was evident. In summary, there is better soil productivity in the low and mid-low mountain areas in western Anxi county. However, the issue of higher greenhouse gas emissions in these areas should be carefully considered, and tea garden management practices can be adopted to regulate the relationship between soil carbon input and greenhouse gas emissions in tea plantations.
Key words:  DNDC  tea plantations in Anxi county  spatial statistical analysis  carbon simulation  greenhouse gas
版权所有:  您是本站第    位访问者
主管单位:中华人民共和国农业农村部 主办单位:中国农业科学院农业资源与农业区划研究所 中国农业绿色发展研究会 地址:北京市海淀区中关村南大街12号
电话:010-82109647 82108697 电子邮件:quhuabjb@caas.cn
技术支持:北京勤云科技发展有限公司  京ICP备11039015号