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降雨事件期间农业生态系统中硝酸盐归宿的化学计量学测定。

Stoichiometric determination of nitrate fate in agricultural ecosystems during rainfall events.

作者信息

Xu Zuxin, Wang Yiyao, Li Huaizheng

机构信息

Institute of Water Environment Rehabilitation, College of Environmental Science and Engineering, Tongji University, Shanghai, China.

出版信息

PLoS One. 2015 Apr 7;10(4):e0122484. doi: 10.1371/journal.pone.0122484. eCollection 2015.

DOI:10.1371/journal.pone.0122484
PMID:25849210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4388451/
Abstract

Ecologists have found a close relationship between the concentrations of nitrate (NO3-) and dissolved organic carbon (DOC) in ecosystems. However, it is difficult to determine the NO3- fate exactly because of the low coefficient in the constructed relationship. In the present paper, a negative power-function equation (r(2) = 0.87) was developed by using 411 NO3- data points and DOC:NO3- ratios from several agricultural ecosystems during different rainfall events. Our analysis of the stoichiometric method reveals several observations. First, the NO3- concentration demonstrated the largest changes when the DOC:NO3- ratio increased from 1 to 10. Second, the biodegradability of DOC was an important factor in controlling the NO3- concentration of agricultural ecosystems. Third, sediment was important not only as a denitrification site, but also as a major source of DOC for the overlying water. Fourth, a high DOC concentration was able to maintain a low NO3- concentration in the groundwater. In conclusion, this new stoichiometric method can be used for the accurate estimation and analysis of NO3- concentrations in ecosystems.

摘要

生态学家发现生态系统中硝酸盐(NO3-)浓度与溶解有机碳(DOC)之间存在密切关系。然而,由于构建关系中的系数较低,难以准确确定NO3-的归宿。在本文中,利用不同降雨事件期间几个农业生态系统的411个NO3-数据点和DOC:NO3-比率,建立了一个负幂函数方程(r(2)=0.87)。我们对化学计量方法的分析揭示了几个观察结果。第一,当DOC:NO3-比率从1增加到10时,NO3-浓度变化最大。第二,DOC的生物降解性是控制农业生态系统中NO3-浓度的一个重要因素。第三,沉积物不仅是反硝化的场所,也是上覆水体中DOC的主要来源。第四,高DOC浓度能够使地下水中的NO3-浓度保持在较低水平。总之,这种新的化学计量方法可用于准确估算和分析生态系统中的NO3-浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/e3dfa4d161c8/pone.0122484.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/50a91e132ee8/pone.0122484.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/d37e00352035/pone.0122484.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/002369add670/pone.0122484.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/e3dfa4d161c8/pone.0122484.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/50a91e132ee8/pone.0122484.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/d37e00352035/pone.0122484.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/002369add670/pone.0122484.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/536b/4388451/e3dfa4d161c8/pone.0122484.g004.jpg

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