树种对森林河岸土壤硝酸盐和氧化亚氮生成的影响

Nitrogen Pub Date : 2023-11-06 DOI:10.3390/nitrogen4040023
Charlene N. Kelly, Elizabeth A. Matejczyk, Emma G. Fox-Fogle, Jason A. Hubbart, Timothy P. Driscoll
{"title":"树种对森林河岸土壤硝酸盐和氧化亚氮生成的影响","authors":"Charlene N. Kelly, Elizabeth A. Matejczyk, Emma G. Fox-Fogle, Jason A. Hubbart, Timothy P. Driscoll","doi":"10.3390/nitrogen4040023","DOIUrl":null,"url":null,"abstract":"Abundance of soil microbial nitrogen (N) cycling genes responsible for nitrification, denitrification, and nitrous oxide reduction may vary with tree species and N inputs, and these variables may be used to predict or mediate nitrate (NO3−) and nitrous oxide (N2O) from soil. Nitrification and denitrification rates have also been linked to tree mycorrhizal associations, as soil beneath species associated with arbuscular mycorrhiza (AM) shows greater nitrification rates than species forming ectomycorrhizal (ECM) associations. In this study, we integrated N microbial functional gene abundance in the soil influenced by six tree species in two sub-catchments receiving either high or low N inputs. The soils beneath the two ECM-associated tree species and the four AM-associated tree species were analyzed for inorganic N content and potential N2O flux and microbial gene abundance (nirK and nosZ) was quantified using qPCR techniques. Other parameters measured include soil pH, moisture, and organic matter. We determined that tree species influence NO3− and N2O production in riparian soils, particularly under high N enrichment. The soil beneath black cherry had the lowest pH, NO3− concentration, potential N2O production, and OM, though this result did not occur in the low N catchment. The strongest predictors of soil NO3− and N2O across the study sites were N enrichment and pH, respectively. These results provide a framework for species selection in managed riparian zones to minimize NO3− and N2O production and improve riparian function.","PeriodicalId":19365,"journal":{"name":"Nitrogen","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tree Species Influence Nitrate and Nitrous Oxide Production in Forested Riparian Soils\",\"authors\":\"Charlene N. Kelly, Elizabeth A. Matejczyk, Emma G. Fox-Fogle, Jason A. Hubbart, Timothy P. Driscoll\",\"doi\":\"10.3390/nitrogen4040023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abundance of soil microbial nitrogen (N) cycling genes responsible for nitrification, denitrification, and nitrous oxide reduction may vary with tree species and N inputs, and these variables may be used to predict or mediate nitrate (NO3−) and nitrous oxide (N2O) from soil. Nitrification and denitrification rates have also been linked to tree mycorrhizal associations, as soil beneath species associated with arbuscular mycorrhiza (AM) shows greater nitrification rates than species forming ectomycorrhizal (ECM) associations. In this study, we integrated N microbial functional gene abundance in the soil influenced by six tree species in two sub-catchments receiving either high or low N inputs. The soils beneath the two ECM-associated tree species and the four AM-associated tree species were analyzed for inorganic N content and potential N2O flux and microbial gene abundance (nirK and nosZ) was quantified using qPCR techniques. Other parameters measured include soil pH, moisture, and organic matter. We determined that tree species influence NO3− and N2O production in riparian soils, particularly under high N enrichment. The soil beneath black cherry had the lowest pH, NO3− concentration, potential N2O production, and OM, though this result did not occur in the low N catchment. The strongest predictors of soil NO3− and N2O across the study sites were N enrichment and pH, respectively. These results provide a framework for species selection in managed riparian zones to minimize NO3− and N2O production and improve riparian function.\",\"PeriodicalId\":19365,\"journal\":{\"name\":\"Nitrogen\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nitrogen\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/nitrogen4040023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nitrogen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/nitrogen4040023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

负责硝化、反硝化和氧化亚氮还原的土壤微生物氮(N)循环基因的丰度可能因树种和N输入而异,这些变量可用于预测或调节土壤中的硝酸盐(NO3−)和氧化亚氮(N2O)。硝化和反硝化速率也与树菌根结合力有关,因为与丛枝菌根(AM)结合力相关的物种下的土壤比形成外生菌根(ECM)结合力的物种显示出更大的硝化速率。在本研究中,我们整合了在高氮和低氮输入的两个亚流域中,6种树种对土壤中氮微生物功能基因丰度的影响。利用qPCR技术分析了2种ecm相关树种和4种am相关树种下土壤的无机氮含量和潜在N2O通量,并定量了微生物基因丰度(nirK和nosZ)。测量的其他参数包括土壤pH值、水分和有机质。我们确定树种影响河岸土壤NO3−和N2O的产生,特别是在高氮富集的情况下。黑樱桃树下土壤pH、NO3−浓度、潜在N2O产量和OM最低,但低氮流域没有出现这一结果。各研究点土壤NO3−和N2O的最强预测因子分别是N富集和pH。这些结果为管理河岸带的物种选择提供了框架,以减少NO3−和N2O的产生并改善河岸功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Tree Species Influence Nitrate and Nitrous Oxide Production in Forested Riparian Soils
Abundance of soil microbial nitrogen (N) cycling genes responsible for nitrification, denitrification, and nitrous oxide reduction may vary with tree species and N inputs, and these variables may be used to predict or mediate nitrate (NO3−) and nitrous oxide (N2O) from soil. Nitrification and denitrification rates have also been linked to tree mycorrhizal associations, as soil beneath species associated with arbuscular mycorrhiza (AM) shows greater nitrification rates than species forming ectomycorrhizal (ECM) associations. In this study, we integrated N microbial functional gene abundance in the soil influenced by six tree species in two sub-catchments receiving either high or low N inputs. The soils beneath the two ECM-associated tree species and the four AM-associated tree species were analyzed for inorganic N content and potential N2O flux and microbial gene abundance (nirK and nosZ) was quantified using qPCR techniques. Other parameters measured include soil pH, moisture, and organic matter. We determined that tree species influence NO3− and N2O production in riparian soils, particularly under high N enrichment. The soil beneath black cherry had the lowest pH, NO3− concentration, potential N2O production, and OM, though this result did not occur in the low N catchment. The strongest predictors of soil NO3− and N2O across the study sites were N enrichment and pH, respectively. These results provide a framework for species selection in managed riparian zones to minimize NO3− and N2O production and improve riparian function.
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
自引率
0.00%
发文量
0
期刊最新文献
Climate Change and Nitrogen Dynamics: Challenges and Strategies for a Sustainable Future Biotransforming of Poultry and Swine Slaughterhouse Waste as an Alternative Protein Source for Ruminant Feeding Nitrogen Uptake and Use Efficiency in Winter Camelina with Applied N Recent Advances in Application of 1D Nanomaterials for Photocatalytic Nitrogen Fixation Crop Rotation and Nitrogen Fertilizer on Nitrate Leaching: Insights from a Low Rainfall Study
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1