基于1︰5万数据库的福建省土壤全氮密度及储量估算研究
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S15

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国家自然科学基金项目(41971050)、福建省自然科学基金项目(2019J01660)和福建农林大学国际科技合作与交流项目(KXGH17017)共同资助


Estimation of Soil Total Nitrogen Density and Storage in Fujian Province by Using 1: 50 000 Soil Database
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Supported by the National Science Foundation of China(No. 41971050),the National Science Foundation of Fujian Province, China (No. 2019J01660), and the Project of International Cooperation and Exchange of Fujian Agriculture and Forestry University (No. KXGH17017)

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    摘要:

    土壤全氮对于全球温室效应和水体富营养化具有重要的调控作用。基于福建省第二次土壤普查3 082个剖面数据和最新建立的1︰5万大比例尺矢量土壤图,对全省土壤全氮储量进行了估算。结果表明:福建省土壤总面积为12.08×106 hm2,表层(0~20 cm)和剖面(0~100 cm)土壤的全氮密度分别为0.35 kg·m–2和0.97 kg·m–2,储量为42.06 Tg和116.83 Tg。全省土壤全氮密度整体呈自北向南逐渐递减的趋势,且沿海低而内陆高。从不同土壤类型来看,山地草甸土的表层和剖面全氮密度最高,分别为0.85 kg·m–2和2.09 kg·m–2;而风沙土的表层和剖面全氮密度最低,分别为0.11 kg·m–2和0.27 kg·m–2。从不同行政区来看,南平市和龙岩市的表层土壤全氮密度最高,分别为0.40 kg·m–2和 0.39 kg·m–2,而南平市和三明市的剖面土壤全氮密度最高,分别为1.19 kg·m–2和 1.11 kg·m–2。总体而言,福建省土壤全氮密度和储量空间分布差异很大,今后可依据不同行政区和土壤类型的全氮分布制定合理的施肥管理措施。

    Abstract:

    【Objective】Soil total nitrogen(STN)plays an important role in terrestrial ecosystems, and hence is of great significance to mitigating the greenhouse effect and water eutrophication. Any slight changes in the STN pool will pose an important impact on global climate. It is, therefore, essential to make a precise estimation of STN density and storage in the effort to optimize nitrogen fertilizer management. However, so far most of the studies on estimation of STN have been done based on medium or small scale soil maps, and few have been reported to be based on provincial level detail soil databases. Consequently this study on STN estimation based on a provincial level soil database may help implement agricultural sustainable development with data support, and design agricultural management strategies.【Method】In this study, based on the most detailed soil database of Fujian Province, consisting of 3 082 sampling profiles and a 1: 50 000 soil map, analyses were carried out of spatial distributions of STN storage and density in the surface soil layer(0 ~ 20 cm)and soil profile(0 ~ 100 cm), in the bulk soil of the main types of soils of the Province as well as in the soils of different administrative divisions of the Province. The pedological knowledge based method, i.e, PKB, was used to correlate soil attributes with soil spatial data. So the 1: 50 000 scale soil map consisted of 247 969 soil patches and 3 082 soil profiles. 【Result】Results show that Fujian province has a total of 12.08 x 106 hm2 of soils. The STN density in the surface soil layer and soil profile of the province was averaged to be 0.35 kg·m–2 and 0.97 kg·m–2, respectively, while the STN storage was 42.06 Tg and 116.83 Tg, respectively. Analysis of the soils by prefecture shows that Nanping City was the highest, being 0.40 kg·m–2 and Longyan followed, being 0.39 kg·m–2 in STN density in surface soil, whereas Nanping City was the highest, being 1.19 kg·m–2 in and Sanming City followed, being 1.11 kg·m–2 in STN density in profile soil. Zhangzhou City was the lowest, being 0.24 kg·m–2 and Xiamen City the next, being 0.27 kg·m–2 in STN density in surface soil, whereas Zhangzhou City was the lowest, being 0.67 kg·m–2 and Putian City the next, being 0.71 kg·m–2 in STN density in profile soil. In terms of soil type, Mountain meadow soil was the highest, being 0.85 kg·m–2 and Skeletal soil followed, being 0.57 kg·m–2 in STN density in surface soil, whereas Mountain meadow soil was the highest, being 2.09 kg·m–2 and Yellow soil followed, being 1.27 kg·m–2 in STN in profile soil. Aeolian soil was the lowest, being by 0.11 kg·m–2 and Latosolic red earth the next, being 0.17 kg·m–2 in STN density in surface soil, whereas Aeolian soil was the lowest, being 0.27 kg·m–2 and Latosolic red earth the next, being 0.53 kg·m–2 in STN in profile soil. 【Conclusion】Consequently, the STN density in the surface and profile soil of Fujian demonstrates a declining trend from north to south, and from inland to coastal area, too. To sum up, the STN in Fujian Province varies significantly in spatial distribution. The findings in this study may be helpful in designing agricultural management strategies and controlling non-point source N pollution in the province.

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陈中星,张楠,黄凯,邱龙霞,陈瀚阅,邢世和,沈金泉,张黎明.基于1︰5万数据库的福建省土壤全氮密度及储量估算研究[J].土壤学报,2022,59(3):688-698. DOI:10.11766/trxb202008100447 CHEN Zhongxing, ZHANG Nan, HUANG Kai, QIU Longxia, CHEN Hanyue, XING Shihe, SHEN Jinquan, ZHANG Liming. Estimation of Soil Total Nitrogen Density and Storage in Fujian Province by Using 1: 50 000 Soil Database[J]. Acta Pedologica Sinica,2022,59(3):688-698.

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  • 收稿日期:2020-08-10
  • 最后修改日期:2020-12-15
  • 录用日期:2021-03-02
  • 在线发布日期: 2021-03-08
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