南京林业大学学报(自然科学版) ›› 2016, Vol. 59 ›› Issue (06): 20-26.doi: 10.3969/j.issn.1000-2006.2016.06.004

• 专题报道 • 上一篇    下一篇

不同土地利用类型土壤动物对土壤氮矿化季节变化的影响

张文文1,2,肖晗冉1,杨宝玲1,3,董可嘉1,阮宏华1*,郑阿宝1,4,沈彩芹5,曹国华5   

  1. 1.南方现代林业协同创新中心,南京林业大学生物与环境学院,江苏 南京 210037;
    2.上海市林业总站,上海 200072;
    3.江苏农林职业技术学院,江苏 句容 212400;
    4.江苏省林业局,江苏 南京 210036;
    5.江苏省东台市林场,江苏 东台 224200
  • 出版日期:2016-12-18 发布日期:2016-12-18
  • 基金资助:
    基金项目:国家重点基础研究发展计划(2012CB416904); 江苏高校优势学科建设工程资助项目(PAPD)
    第一作者:张文文(462388565@qq.com)。
    *通信作者:阮宏华(hhruan@njfu.edu.cn),教授。
    引文格式:张文文,肖晗冉,杨宝玲,等. 不同土地利用类型土壤动物对土壤氮矿化季节变化的影响[J]. 南京林业大学学报(自然科学版),2016,40(6):20-26.

Effects of soil fauna on seasonal variations of soil N mineralization under different land use type

ZHANG Wenwen1,2, XIAO Hanran1, YANG Baoling1,3, DONG Kejia1, RUAN Honghua1*, ZHENG Abao1,4,SHEN Caiqin5, CAO Guohua5   

  1. 1.Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China;
    2.Shanghai Forestry Station, Shanghai 200072, China;
    3. Jiangsu Polytechnic College of Agriculture and Forestry, Jurong 212400,China;
    4. Jiangsu Province Administration of Forestry, Nanjing 210036, China;
    5. Forest Farm of Dongtai City, Dongtai 224200, China
  • Online:2016-12-18 Published:2016-12-18

摘要: 以苏北沿海地区3种土地利用类型(杨树人工林、农田、杨农复合林)为研究对象,通过设置不同驱除土壤动物处理(撒萘驱除所有土壤动物、撒噻唑磷驱除土壤线虫、未驱除即对照),采用顶盖埋管法测定土壤矿质N含量及净N矿化速率,研究土壤动物对N矿化季节变化的影响。结果表明:①不同土地利用类型土壤NH+4-N、NO-3-N、土壤总矿化N(TMN)含量均呈显著的季节变化(P<0.05),驱除线虫和所有土壤动物显著降低了不同季节的土壤NH+4-N、NO-3-N和TMN含量,但并没有改变它们的季节变化基本趋势。3种土地利用类型土壤NH+4-N含量的季节变化均表现为夏>秋>春>冬; 对于NO-3-N和TMN含量的季节变化,杨树林和杨农复合林均表现为夏>秋>春>冬,而农田则表现为秋>夏>春>冬; ②不同土地利用类型净N矿化速率季节差异显著(P<0.05),杨树林和农田的净N矿化速率最大值出现在秋季(分别为0.25、0.29 mg/(kg·d)),杨农复合林净N矿化速率最大值出现在夏季(0.45 mg/(kg·d))。驱除线虫和驱除所有土壤动物显著降低了所有土壤利用类型春、夏、秋季的土壤净N矿化速率(P<0.05),而未改变杨农复合林净N矿化速率的季节变化趋势。驱除所有土壤动物改变了杨树林和农田的净N矿化速率的季节变化趋势,杨树林和农田驱除所有土壤动物的季节变化表现为夏>秋>春>冬,而对照表现为秋>夏>春>冬。重复测量方差分析表明,季节和驱除土壤动物处理对净N矿化速率有显著的交互作用(P<0.01),表明驱除土壤动物可能会影响净N矿化速率的季节变化。

Abstract: A field experiment was conducted under three different land use types(i.e. poplar plantation, cropland and crop-poplar integrated system)with three treatments including control, nematodes exclusion and soil fauna exclusion in a coastal area of northern Jiangsu. By application closed-up incubation method, the seasonal variations of soil mineral N and net N mineralization rate were analyzed. The results showed that the contents of NH+4-N,NO-3-N,TMN had significant seasonal variations under three land uses types(P<0.05), nematodes and soil fauna exclusions decreased the contents of NH+4-N,NO-3-N and TMN in four seasons, but did not alter their seasonal variation trends. The seasonal variation of NH+4-N under three land uses types all showed summer>autumn>spring>winter; seasonal variation of NO-3-N and TMN showed summer>autumn>spring>winter under poplar plantation and crop-poplar integrated system while autumn>summer >spring>winter in cropland. In all sites, soil net N mineralization rates showed significant seasonal dynamic(P<0.05). Maximum soil net N mineralization rate both under poplar plantation and cropland appeared in autumn(0.25 mg/(kg·d), 0.29 mg/(kg·d), respectively), but in crop-poplar integrated system, the maximum soil net N mineralization rate appeared in summer(0.45 mg/(kg·d)). Nematode and soil fauna exclusion all could lower the net N mineralization rates of three land use types in spring, summer and autumn, while did not alter the net N mineralization rates under crop-poplar integrated system, but soil fauna exclusion affected the seasonal dynamics of net N mineralization rates under the poplar plantation and cropland. The net N mineralization rates under poplar plantation and cropland showed summer>autumn>spring>winter with soil fauna exclusion, while autumn>summer>spring>winter with control. Analysis of variance for repeated measurement showed that there were significant interaction effects between sampling times and soil fauna treatments(P<0.01), indicating that soil fauna may affect the seasonal variations of net N mineralization rates.

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