半干旱的农田灌溉大坝是温室气体排放的一个小来源

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Jackie R. Webb, Wendy C. Quayle, Carlos Ballester, Naomi S. Wells
{"title":"半干旱的农田灌溉大坝是温室气体排放的一个小来源","authors":"Jackie R. Webb,&nbsp;Wendy C. Quayle,&nbsp;Carlos Ballester,&nbsp;Naomi S. Wells","doi":"10.1007/s10533-023-01100-4","DOIUrl":null,"url":null,"abstract":"<div><p>Small artificial waterbodies are larger emitters of carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) than natural waterbodies. The Intergovernmental Panel on Climate Change (IPCC) recommends these waterbodies are accounted for in national emission inventories, yet data is extremely limited for irrigated landscapes. To derive a baseline of their greenhouse gas footprint, we investigated 38 irrigation farm dams in horticulture and broadacre cropping in semi-arid NSW, Australia. Dissolved CO<sub>2</sub>, CH<sub>4</sub>, and nitrous oxide (N<sub>2</sub>O) were measured in spring and summer, 2021–2022. While all dams were sources of CH<sub>4</sub> to the atmosphere, 52% of irrigation farm dams were sinks for CO<sub>2</sub> and 70% were sinks for N<sub>2</sub>O. Relationships in the linear mixed effect models indicate that CO<sub>2</sub> concentrations were primarily driven by dissolved oxygen (DO), ammonium, and sediment carbon content, while N<sub>2</sub>O concentration was best explained by an interaction between DO and ammonium. Methane concentrations did not display any relationship with typical biological variables and instead were related to soil salinity, trophic status, and size. Carbon dioxide-equivalent emissions were highest in small (&lt; 0.001 km<sup>2</sup>) dams (305 g CO<sub>2</sub>-eq m<sup>−2</sup> season<sup>−1</sup>) and in those used for recycling irrigation water (249 g CO<sub>2</sub>-eq m<sup>−2</sup> season<sup>−1</sup>), with CH<sub>4</sub> contributing 70% of average CO<sub>2</sub>-eq emissions. However, irrigation dams had considerably lower CH<sub>4</sub> emissions (mean 40 kg ha<sup>−1</sup> yr<sup>−1</sup>) than the IPCC emission factor (EF) of 183 kg CH<sub>4</sub> ha<sup>−1</sup> yr<sup>−1</sup> for constructed ponds and lower N<sub>2</sub>O EF of 0.06% than the indirect EF for agricultural surface waters (0.26%). This synoptic survey reveals existing models may be severely overestimating (4–5 times) farm dam CH<sub>4</sub> and N<sub>2</sub>O emissions in semi-arid irrigation areas. Further research is needed to define these artificial waterbodies in emissions accounting.</p></div>","PeriodicalId":8901,"journal":{"name":"Biogeochemistry","volume":"166 2","pages":"123 - 138"},"PeriodicalIF":3.9000,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semi-arid irrigation farm dams are a small source of greenhouse gas emissions\",\"authors\":\"Jackie R. Webb,&nbsp;Wendy C. Quayle,&nbsp;Carlos Ballester,&nbsp;Naomi S. Wells\",\"doi\":\"10.1007/s10533-023-01100-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Small artificial waterbodies are larger emitters of carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) than natural waterbodies. The Intergovernmental Panel on Climate Change (IPCC) recommends these waterbodies are accounted for in national emission inventories, yet data is extremely limited for irrigated landscapes. To derive a baseline of their greenhouse gas footprint, we investigated 38 irrigation farm dams in horticulture and broadacre cropping in semi-arid NSW, Australia. Dissolved CO<sub>2</sub>, CH<sub>4</sub>, and nitrous oxide (N<sub>2</sub>O) were measured in spring and summer, 2021–2022. While all dams were sources of CH<sub>4</sub> to the atmosphere, 52% of irrigation farm dams were sinks for CO<sub>2</sub> and 70% were sinks for N<sub>2</sub>O. Relationships in the linear mixed effect models indicate that CO<sub>2</sub> concentrations were primarily driven by dissolved oxygen (DO), ammonium, and sediment carbon content, while N<sub>2</sub>O concentration was best explained by an interaction between DO and ammonium. Methane concentrations did not display any relationship with typical biological variables and instead were related to soil salinity, trophic status, and size. Carbon dioxide-equivalent emissions were highest in small (&lt; 0.001 km<sup>2</sup>) dams (305 g CO<sub>2</sub>-eq m<sup>−2</sup> season<sup>−1</sup>) and in those used for recycling irrigation water (249 g CO<sub>2</sub>-eq m<sup>−2</sup> season<sup>−1</sup>), with CH<sub>4</sub> contributing 70% of average CO<sub>2</sub>-eq emissions. However, irrigation dams had considerably lower CH<sub>4</sub> emissions (mean 40 kg ha<sup>−1</sup> yr<sup>−1</sup>) than the IPCC emission factor (EF) of 183 kg CH<sub>4</sub> ha<sup>−1</sup> yr<sup>−1</sup> for constructed ponds and lower N<sub>2</sub>O EF of 0.06% than the indirect EF for agricultural surface waters (0.26%). This synoptic survey reveals existing models may be severely overestimating (4–5 times) farm dam CH<sub>4</sub> and N<sub>2</sub>O emissions in semi-arid irrigation areas. Further research is needed to define these artificial waterbodies in emissions accounting.</p></div>\",\"PeriodicalId\":8901,\"journal\":{\"name\":\"Biogeochemistry\",\"volume\":\"166 2\",\"pages\":\"123 - 138\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2023-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biogeochemistry\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10533-023-01100-4\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biogeochemistry","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10533-023-01100-4","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

小型人工水体比天然水体排放更多的二氧化碳(CO2)和甲烷(CH4)。政府间气候变化专门委员会(IPCC)建议将这些水体纳入国家排放清单,但关于灌溉景观的数据极其有限。为了获得温室气体足迹的基线,我们调查了澳大利亚半干旱的新南威尔士州园艺和大面积种植的38个灌溉农场水坝。测定了2021-2022年春季和夏季的溶解CO2、CH4和氧化亚氮(N2O)。虽然所有水坝都是大气CH4的来源,但52%的灌溉农场水坝是CO2的汇,70%是N2O的汇。线性混合效应模型的关系表明,CO2浓度主要由溶解氧(DO)、铵和沉积物碳含量驱动,而N2O浓度最好由DO和铵的相互作用来解释。甲烷浓度与土壤盐度、营养状况和大小有关,而与典型的生物变量无关。二氧化碳当量排放量最高的是小型水坝(< 0.001 km2) (305 g CO2-eq m−2 season - 1)和用于循环水的水坝(249 g CO2-eq m−2 season - 1),其中CH4贡献了平均co2当量排放量的70%。然而,灌溉水坝的CH4排放量(平均40 kg ha−1年−1年−1)明显低于人工池塘的IPCC排放因子(EF) 183 kg CH4 ha−1年−1,N2O的EF比农业地表水的间接排放因子(EF)低0.06%(0.26%)。这项综合调查显示,在半干旱灌区,现有模型可能严重高估(4-5倍)农田大坝CH4和N2O排放量。在排放核算中,需要进一步的研究来定义这些人工水体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Semi-arid irrigation farm dams are a small source of greenhouse gas emissions

Semi-arid irrigation farm dams are a small source of greenhouse gas emissions

Semi-arid irrigation farm dams are a small source of greenhouse gas emissions

Small artificial waterbodies are larger emitters of carbon dioxide (CO2) and methane (CH4) than natural waterbodies. The Intergovernmental Panel on Climate Change (IPCC) recommends these waterbodies are accounted for in national emission inventories, yet data is extremely limited for irrigated landscapes. To derive a baseline of their greenhouse gas footprint, we investigated 38 irrigation farm dams in horticulture and broadacre cropping in semi-arid NSW, Australia. Dissolved CO2, CH4, and nitrous oxide (N2O) were measured in spring and summer, 2021–2022. While all dams were sources of CH4 to the atmosphere, 52% of irrigation farm dams were sinks for CO2 and 70% were sinks for N2O. Relationships in the linear mixed effect models indicate that CO2 concentrations were primarily driven by dissolved oxygen (DO), ammonium, and sediment carbon content, while N2O concentration was best explained by an interaction between DO and ammonium. Methane concentrations did not display any relationship with typical biological variables and instead were related to soil salinity, trophic status, and size. Carbon dioxide-equivalent emissions were highest in small (< 0.001 km2) dams (305 g CO2-eq m−2 season−1) and in those used for recycling irrigation water (249 g CO2-eq m−2 season−1), with CH4 contributing 70% of average CO2-eq emissions. However, irrigation dams had considerably lower CH4 emissions (mean 40 kg ha−1 yr−1) than the IPCC emission factor (EF) of 183 kg CH4 ha−1 yr−1 for constructed ponds and lower N2O EF of 0.06% than the indirect EF for agricultural surface waters (0.26%). This synoptic survey reveals existing models may be severely overestimating (4–5 times) farm dam CH4 and N2O emissions in semi-arid irrigation areas. Further research is needed to define these artificial waterbodies in emissions accounting.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biogeochemistry
Biogeochemistry 环境科学-地球科学综合
CiteScore
7.10
自引率
5.00%
发文量
112
审稿时长
3.2 months
期刊介绍: Biogeochemistry publishes original and synthetic papers dealing with biotic controls on the chemistry of the environment, or with the geochemical control of the structure and function of ecosystems. Cycles are considered, either of individual elements or of specific classes of natural or anthropogenic compounds in ecosystems. Particular emphasis is given to coupled interactions of element cycles. The journal spans from the molecular to global scales to elucidate the mechanisms driving patterns in biogeochemical cycles through space and time. Studies on both natural and artificial ecosystems are published when they contribute to a general understanding of biogeochemistry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信