ArticleEnvironmental science & technology2025
Optimizing Small Water Bodies as a Nature-Based Solution for Mitigating Nitrogen Pollution.
He Duan, Wangzheng Shen, Qingsong Wang, Ziqi Qiang, Sisi Li, Yanhua Zhuang, Mingquan Lv, Shengjun Wu, Liang Zhang
Abstract read
In one paragraphArticle in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
He DuanKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Wangzheng ShenKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Qingsong WangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Ziqi QiangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Sisi LiKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.ORCID 0000-0002-9699-9028 Yanhua ZhuangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.ORCID 0000-0002-7041-1118 Mingquan LvChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China.
Shengjun WuChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China.
Liang ZhangKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.ORCID 0000-0002-9074-1034 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Despite the widely acknowledged importance of small water bodies (SWBs), their large-scale capacity for nitrogen (N) removal in agricultural landscapes remains poorly understood. This study assessed the N removal efficiency and potential of 1.75 million SWBs (<0.33 ha) in China's rice-growing regions, using an N removal model incorporating key biogeochemical factors. Collectively, these SWBs potentially remove approximately 169.97 kt N y
Indexed as
NitrogenAgricultureChinaOryzaNitrogennitrogen reductionnonpoint source pollutionpaddy fieldsmall wetlandvegetation
Identifiers
PMID40900176
PMCPMC12490639
What OpenQuestion holds
Textmetadata
Read underepoch 390