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机构地区:[1]中国科学院南京土壤研究所,南京210008 [2]中国科学院大学,北京100049
出 处:《土壤学报》2014年第6期1317-1324,共8页Acta Pedologica Sinica
基 金:土壤学科领域基础科学数据整合与集成应用(XXH12504-1-02);中国科学院战略性先导科技专项(XDB15040000);江苏省杰出青年科学基金(BK2012048)资助
摘 要:针对国内外1959年至2013年间发表的2 900篇中国土壤硝化相关论文,获得288组中国土壤硝化强度数据,涉及26个省份,初步构建了开放式的中国土壤硝化信息系统。进一步利用整合分析,评估了土壤理化性质与土壤硝化强度的可能联系。结果表明:不同生态系统之间硝化速率由大到小依次为:农田(NO-3-N 1.39±0.27 mg kg-1d-1)、草地(0.74±0.17)、森林(0.66±0.16)、沙漠(0.17±0.08)、湿地(0.06±0.04)。在统计显著性的前提下,硝化强度与环境因子之间表现出一定的相关性趋势:即硝化强度与p H、有效磷、硝态氮正相关,与有机碳、速效氮和碳氮比负相关。在较大时空尺度下,生态系统类型是土壤硝化过程地理分异规律的最优解释因子,可能在硝化微生物形成与演替过程中发挥了重要作用。Nitrification plays an important role in global nitrogen recycling and exists ubiquitously on earth. Nitrification activity determines nitrogen transformation process and is solely catalyzed by ammonia oxidizers and nitrite oxidizers. Nitrification has been intensively investigated, generally, on a field scale in a single location but little has been done on a large scale. On a global scale, soil varies and distributes in the epigeosphere regularly according to certain laws as affected by different hydrothermal conditions. Meanwhile, soil microbial communities exhibit distinct biogeographic patterns and their distribution is mainly influenced by contemporary environmental factors and historical evolutionary factors. However, almost little is known about spatial patterns of functionally important biogeochemical processes that are mainly driven by microbial communities. In this study, here we report the construction of a soil nitrification database, meta-analysis of nitrification activity in ecosystems typical of China and main driving forces of nitrification rate on a national scale. From the 2 900 papers published both abroad and at home during the period of 1959-2013 on soil nitrification and found available in the literature database of soil science, 111 papers were collected according to the same data mining standards. A total of 288 sets of data were obtained on soil nitrification activity in the soils in 26 provinces of China. Based on the data extracted from the papers and acquired from the online database, a Soil Nitrification Information System (SNIS), was constructed. The system covers data, like sample locations, soil properties (including pH, total nitrogen, nitrate nitrogen, organic carbon, available phosphorous, clay content, etc.) and nitrification activity. Nitrification activity was assessed by three parameters including net nitrification rate, potential nitrification rate and gross nitrification rate using the conventional analytical methods. One-way analysis of variance (ANOVA) and t
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