Isaac Okiti , Gideon Efakwu , Mihkel Pindus , Kuno Kasak
{"title":"Environmental and biogeochemical drivers of CH4 and N2O flux variability in treatment wetlands","authors":"Isaac Okiti , Gideon Efakwu , Mihkel Pindus , Kuno Kasak","doi":"10.1016/j.ecoleng.2025.107705","DOIUrl":null,"url":null,"abstract":"<div><div>Methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) emissions from wetlands vary spatially, influencing total greenhouse gas (GHG) fluxes. Accurately quantifying these variations is essential for refining CH<sub>4</sub> and N<sub>2</sub>O budgets and developing effective mitigation strategies. This study applies the closed chamber method to assess CH<sub>4</sub> and N<sub>2</sub>O flux variability over five years in treatment wetlands designed to reduce agricultural diffuse pollution, focusing on key environmental and biogeochemical drivers at 12 sampling points. Hotspots, identified as sampling points where high-emission events (hot moments) contributed disproportionately, exceeding 8.33 % of total emissions, were determined from the mean plus two-standard-deviation threshold. Median (interquartile range) CH<sub>4</sub> emissions were 115.86 (16.1–1191.31) μg CH<sub>4</sub>-C m<sup>−2</sup> h<sup>−1</sup> in hotspots and 109.15 (27.49–722.62) μg CH<sub>4</sub>-C m<sup>−2</sup> h<sup>−1</sup> in non-hotspots. Similarly, median N<sub>2</sub>O emissions were 75.33 (29.71–187.85) μg N<sub>2</sub>O-N m<sup>−2</sup> h<sup>−1</sup> in hotspots, compared to 15.41 (5.87–38.01) μg N<sub>2</sub>O-N m<sup>−2</sup> h<sup>−1</sup> in non-hotspots. Statistical analysis identified water level as the key predictor of N<sub>2</sub>O flux differences, with lower water levels driving higher emissions. CH<sub>4</sub> fluxes were influenced by multiple interacting factors, including dissolved oxygen, oxidation-reduction potential, conductivity, and water level, with the highest emissions under more reducing conditions. Seasonal trends revealed higher CH<sub>4</sub> and N<sub>2</sub>O fluxes during the growing season, coinciding with higher temperatures and reduced flow rates. Our findings highlight the critical role of water level regulation, flow rate control, and oxygenation strategies in reducing CH<sub>4</sub> and N<sub>2</sub>O emissions. These insights contribute to optimizing wetland design and management for water treatment efficiency and climate mitigation.</div></div>","PeriodicalId":11490,"journal":{"name":"Ecological Engineering","volume":"219 ","pages":"Article 107705"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Engineering","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925857425001958","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Methane (CH4) and nitrous oxide (N2O) emissions from wetlands vary spatially, influencing total greenhouse gas (GHG) fluxes. Accurately quantifying these variations is essential for refining CH4 and N2O budgets and developing effective mitigation strategies. This study applies the closed chamber method to assess CH4 and N2O flux variability over five years in treatment wetlands designed to reduce agricultural diffuse pollution, focusing on key environmental and biogeochemical drivers at 12 sampling points. Hotspots, identified as sampling points where high-emission events (hot moments) contributed disproportionately, exceeding 8.33 % of total emissions, were determined from the mean plus two-standard-deviation threshold. Median (interquartile range) CH4 emissions were 115.86 (16.1–1191.31) μg CH4-C m−2 h−1 in hotspots and 109.15 (27.49–722.62) μg CH4-C m−2 h−1 in non-hotspots. Similarly, median N2O emissions were 75.33 (29.71–187.85) μg N2O-N m−2 h−1 in hotspots, compared to 15.41 (5.87–38.01) μg N2O-N m−2 h−1 in non-hotspots. Statistical analysis identified water level as the key predictor of N2O flux differences, with lower water levels driving higher emissions. CH4 fluxes were influenced by multiple interacting factors, including dissolved oxygen, oxidation-reduction potential, conductivity, and water level, with the highest emissions under more reducing conditions. Seasonal trends revealed higher CH4 and N2O fluxes during the growing season, coinciding with higher temperatures and reduced flow rates. Our findings highlight the critical role of water level regulation, flow rate control, and oxygenation strategies in reducing CH4 and N2O emissions. These insights contribute to optimizing wetland design and management for water treatment efficiency and climate mitigation.
期刊介绍:
Ecological engineering has been defined as the design of ecosystems for the mutual benefit of humans and nature. The journal is meant for ecologists who, because of their research interests or occupation, are involved in designing, monitoring, or restoring ecosystems, and can serve as a bridge between ecologists and engineers.
Specific topics covered in the journal include: habitat reconstruction; ecotechnology; synthetic ecology; bioengineering; restoration ecology; ecology conservation; ecosystem rehabilitation; stream and river restoration; reclamation ecology; non-renewable resource conservation. Descriptions of specific applications of ecological engineering are acceptable only when situated within context of adding novelty to current research and emphasizing ecosystem restoration. We do not accept purely descriptive reports on ecosystem structures (such as vegetation surveys), purely physical assessment of materials that can be used for ecological restoration, small-model studies carried out in the laboratory or greenhouse with artificial (waste)water or crop studies, or case studies on conventional wastewater treatment and eutrophication that do not offer an ecosystem restoration approach within the paper.