Denitrification and dissimilatory nitrate reduction to ammonium in freshwater lakes of the Eastern Plain, China: Influences of organic carbon and algal bloom

硝酸盐 环境化学 反硝化 总有机碳 环境科学 硫酸盐 沉积物 化学 氮气 地质学 古生物学 有机化学
作者
Xingyu Jiang,Guang Gao,Lu Zhang,Xiangming Tang,Keqiang Shao,Yang Hu
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:710: 136303-136303 被引量:53
标识
DOI:10.1016/j.scitotenv.2019.136303
摘要

Denitrification (DNF) and dissimilatory nitrate reduction to ammonium (DNRA) are critical dissimilatory nitrate reduction pathways that determine nitrogen (N) removal and internal recycling in aquatic environments. However, the relative important of DNRA, and the influences of environmental factors on DNF and DNRA, have not been widely studied in freshwater lakes. In our study, we used N isotope-tracing to investigate the potential rates of DNF and DNRA in 27 lakes from the Eastern Plain Lake Zone (EPL), China. In the EPL lakes, DNF was the dominant nitrate reduction process, however DNRA was still important, accounting for around 4.3%–21.9% of total nitrate reduction. The sediment organic carbon was the primary factor controlling the rates of dissimilatory nitrate reduction, accounting for 28.3% and 37.9% of the variance in DNF and DNRA rates, respectively. High algal biomass accelerated DNF rates, while indirectly affected DNRA via changing the quality of organic carbon. The greater contributions of DNRA to dissimilatory nitrate reduction were found in lakes with higher sulfate concentrations. DNRA coupled to sulfur cycling may play an important role in lakes with high sulfate concentrations and high sediment organic carbon. This study highlights the important role played by DNRA in total nitrate reduction pathways of freshwater lakes. Mitigation strategies for N pollution and algal blooms should not only target decrease of nutrient input, strategies should also create a suitable environment for improving N removal and inhibit N recycling.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
紫色翡翠完成签到,获得积分10
刚刚
taotao发布了新的文献求助10
刚刚
duang发布了新的文献求助30
1秒前
彦君发布了新的文献求助10
1秒前
JlkD发布了新的文献求助10
1秒前
2秒前
3秒前
岱羲发布了新的文献求助10
3秒前
刘成财发布了新的文献求助10
3秒前
慕青应助单纯的雅香采纳,获得10
4秒前
Akim应助布洛芬采纳,获得10
5秒前
水星完成签到,获得积分10
5秒前
6秒前
洋芋完成签到 ,获得积分20
6秒前
爆米花应助彦君采纳,获得10
7秒前
王毅发布了新的文献求助10
7秒前
英俊的铭应助s1lence采纳,获得10
9秒前
lyz发布了新的文献求助10
9秒前
9秒前
JlkD完成签到,获得积分10
9秒前
10秒前
美满雨莲发布了新的文献求助10
11秒前
he完成签到,获得积分10
11秒前
11秒前
布洛芬完成签到,获得积分20
11秒前
今后应助体贴的青烟采纳,获得10
12秒前
12秒前
老仙女发布了新的文献求助10
15秒前
撞我心上你完成签到,获得积分10
16秒前
lyz完成签到,获得积分10
16秒前
超帅的箴完成签到,获得积分10
16秒前
布洛芬发布了新的文献求助10
16秒前
18秒前
orange9发布了新的文献求助10
19秒前
19秒前
20秒前
22秒前
22秒前
Owen应助闪闪灯泡采纳,获得10
22秒前
温暖发布了新的文献求助10
22秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3125565
求助须知:如何正确求助?哪些是违规求助? 2775869
关于积分的说明 7728200
捐赠科研通 2431356
什么是DOI,文献DOI怎么找? 1291928
科研通“疑难数据库(出版商)”最低求助积分说明 622278
版权声明 600376