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一种在流域范围内识别食物生产和消费系统中氮流动的时空模式的方法。

An approach to identify the spatiotemporal patterns of nitrogen flows in food production and consumption systems within watersheds.

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.

出版信息

Sci Total Environ. 2018 May 15;624:1004-1012. doi: 10.1016/j.scitotenv.2017.12.197. Epub 2017 Dec 27.

DOI:10.1016/j.scitotenv.2017.12.197
PMID:29929217
Abstract

Human has greatly disturbed nitrogen (N) cycles through the food production and consumption (FPC) activities, which caused serious environmental consequences. A few studies address the pathways of N cycles to clarify the interrelationships between human activities and the altered N cycles, especially in terms of the spatial aspects of N flows, which are also influenced by natural factors. Here, we developed an integrated model to quantify the spatiotemporal patterns of N flows within the FPC and applied it to the Chaohu Watershed from 1949 to 2012. We found that total N inputs into the FPC increased by 6-fold during 1949-2012, while N inputs from chemical fertilizer had the largest increase, with an annual growth rate of 8.6%. N generation in manure doubled, but the recycling rate decreased by 50% in the study period. The total N losses increased from 17 to 130Gg-N/yr between 1949 and 2012. Annually, ~7% of total N losses was discharged into surface water annually, which peaked at 9.5Gg-N/yr during 1998-2003, two times as that in the early 1980s when algae blooms first occurred in Chaohu lake. Spatially, around one-fifth of the catchment area was responsible for all of N losses to surface water. These intensive areas located in the eastern and southern-central regions, which were identified as the critical areas for priority N mitigation. This study provided a method to depict spatiotemporal patterns of regional N flows for identifying the critical sources and areas of N pollution for precision watershed management.

摘要

人类通过食品生产和消费(FPC)活动极大地干扰了氮(N)循环,造成了严重的环境后果。有一些研究探讨了 N 循环的途径,以阐明人类活动与改变的 N 循环之间的相互关系,特别是在 N 流的空间方面,这也受到自然因素的影响。在这里,我们开发了一个综合模型来量化 FPC 内 N 流的时空模式,并将其应用于 1949 年至 2012 年的巢湖流域。我们发现,1949-2012 年间,FPC 中总 N 输入增加了 6 倍,而化肥 N 输入的增幅最大,年增长率为 8.6%。粪便中的 N 生成量增加了一倍,但在研究期间,其再循环率下降了 50%。总 N 损失从 1949 年的 17Gg-N/yr 增加到 2012 年的 130Gg-N/yr。每年,约 7%的总 N 损失排入地表水,在 1998-2003 年期间达到峰值,为每年 9.5Gg-N/yr,是 20 世纪 80 年代初巢湖首次出现水华时的两倍。在空间上,流域面积的五分之一负责所有向地表水的 N 损失。这些密集区位于东部和中南部地区,被确定为优先进行 N 减排的关键区域。本研究提供了一种描绘区域 N 流时空模式的方法,以确定 N 污染的关键来源和区域,从而实现精确的流域管理。

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