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Shinozuka K, Nagafuchi O, Nakazawa K, Tsunogai U, Nakagawa F, Tetsuka K, Tetsuka N, Ebise S. Influences of topography on nitrate export from forested watersheds on Yakushima Island, a Natural World Heritage site. RSC Adv 2024; 14:29860-29872. [PMID: 39301230 PMCID: PMC11411419 DOI: 10.1039/d4ra04168b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 09/03/2024] [Indexed: 09/22/2024] Open
Abstract
In East Asia, high levels of atmospheric nitrogen are deposited onto land. This could elevate the nitrate levels in coastal waters via river runoff, even from areas where anthropogenic sources are minimal. It is important to identify NO3 - sources in river water and the mechanisms involved in NO3 - runoff. Yakushima Island, Japan, is a Natural World Heritage site featuring numerous watersheds with diverse topography and rivers. The area receives significant precipitation, with up to 10 000 mm in mountainous regions. Its proximity to coastal urban areas in China (∼800 km) leads to substantial atmospheric nitrogen wet and dry deposition in the island's forests. The study aimed to clarify regional water quality characteristics by conducting long-term monitoring of dissolved ion components (Na+, K+, Mg2+, Ca2+, F-, Cl - , NO3 - , and SO4 2- ) in river waters, and to determine the effects of NO3 - sources and watershed topography on NO3 - behavior. Dissolved ion concentrations were obtained from a long-term monitoring (2011-2014) dataset. Cluster analysis classified runoff water from the central mountainous region into three groups: western region, other regions, and groundwater. The average NO3 - concentration in the western region was 10.2 μmol L-1, which was higher than the 6.24 μmol L-1 observed in the other regions. Stable isotope analysis in December 2018 showed that river water NO3 - (1.39 μmol L-1) in the western region had a high proportion of atmospheric NO3 - . Topographic analysis indicated that NO3 - and atmospheric NO3 - increased in smaller watersheds and steeper terrain. This study conclude that NO3 - output is controlled by topography.
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Affiliation(s)
- Ken'ichi Shinozuka
- River Basin Research Center, Gifu University 1-1 Yanagido Gifu City Gifu 501-1112 Japan
| | - Osamu Nagafuchi
- Environmental Science Institute, Comprehensive Research Organizations of Fukuoka Institute of Technology Wajiro Higashi, Higashi-ku Fukuoka 811-0295 Japan
| | - Koyomi Nakazawa
- Department of Environmental and Civil Engineering, Toyama Prefectural University 5180 Kurokawa, Imizu Toyama 930-0975 Japan
| | - Urumu Tsunogai
- Graduate School of Environmental Studies, Nagoya University Furo-cho, Chikusa-ku Nagoya 464-8601 Japan
| | - Fumiko Nakagawa
- Graduate School of Environmental Studies, Nagoya University Furo-cho, Chikusa-ku Nagoya 464-8601 Japan
| | - Kenshi Tetsuka
- Yakushima Institute of Environmental Sciences Isso, Yakushima-cho, Kumage Kagoshima 891-4203 Japan
| | - Natsumi Tetsuka
- Yakushima Institute of Environmental Sciences Isso, Yakushima-cho, Kumage Kagoshima 891-4203 Japan
| | - Senichi Ebise
- Faculty of Science and Engineering, Setsunan University Ikedanakamachi Neyagawa City Osaka 572-8508 Japan
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Wang Y, Zhu F, Li J, Gurmesa GA, Huang S, Fang X, Liu D, Mgelwa AS, Wang W, Huang K, Duan Y, Song L, Li X, Quan Z, Kang R, Zhu W, Hobbie EA, Fang Y. Evidence and causes of recent decreases in nitrogen deposition in temperate forests in Northeast China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172472. [PMID: 38642760 DOI: 10.1016/j.scitotenv.2024.172472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/23/2024] [Accepted: 04/11/2024] [Indexed: 04/22/2024]
Abstract
High reactive nitrogen (N) emissions due to anthropogenic activities in China have led to an increase in N deposition and ecosystem degradation. The Chinese government has strictly regulated reactive N emissions since 2010, however, determining whether N deposition has reduced requires long-term monitoring. Here, we report the patterns of N deposition at a rural forest site (Qingyuan) in northeastern China over the last decade. We collected 456 daily precipitation samples from 2014 to 2022 and analysed the temporal dynamics of N deposition. NH4+-N, NO3--N, and total inorganic N (TIN) deposition ranged from 10.5 ± 3.5 (mean ± SD), 6.1 ± 1.6, and 16.6 ± 4.7 kg N ha-1 year-1, respectively. Over the measurement period, TIN deposition at Qingyuan decreased by 55 %, whereas that in comparable sites in East Asia declined by 14-34 %. We used a random forest model to determine factors influencing the deposition of NH4+-N, NO3--N, and TIN during the study period. NH4+-N deposition decreased by 60 % because of decreased agricultural NH3 emissions. Furthermore, NO3--N deposition decreased by 42 %, due to reduced NOx emissions from agricultural soil and fossil fuel combustion. The steep decline in N deposition in northeastern China was attributed to reduced coal consumption, improved emission controls on automobiles, and shifts in agricultural practices. Long-term monitoring is needed to assess regional air quality and the impact of N emission control regulations.
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Affiliation(s)
- Yingying Wang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China.
| | - Jin Li
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Geshere Abdisa Gurmesa
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Shaonan Huang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environment Science, Henan University, Kaifeng 475004, China; Henan Key Laboratory of Air Pollution Prevention and Ecological Security (Henan University), Kaifeng 475004, China
| | - Xiaoming Fang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Dongwei Liu
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Abubakari Said Mgelwa
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China; College of Natural Resources Management & Tourism, Mwalimu Julius K. Nyerere University of Agriculture & Technology, P.O. Box 976, Musoma, Tanzania
| | - Wenchao Wang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Huang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Yihang Duan
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Linlin Song
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Xue Li
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhi Quan
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Ronghua Kang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China
| | - Weixing Zhu
- Department of Biological Sciences, Binghamton University, The State University of New York, Binghamton, NY, USA
| | - Erik A Hobbie
- Earth Systems Research Center, University of New Hampshire, Durham, NH 03824, United States
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China; Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning 110016, China.
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Shu L, Chen W, Liu Y, Shang X, Yang Y, Dahlgren RA, Chen Z, Zhang M, Ji X. Riverine nitrate source identification combining δ 15N/δ 18O-NO 3- with Δ 17O-NO 3- and a nitrification 15N-enrichment factor in a drinking water source region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170617. [PMID: 38311089 DOI: 10.1016/j.scitotenv.2024.170617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/15/2024] [Accepted: 01/30/2024] [Indexed: 02/06/2024]
Abstract
Dual nitrate isotopes (δ15N/δ18O-NO3-) are an effective tool for tracing nitrate sources in freshwater systems worldwide. However, the initial δ15N/δ18O values of different nitrate sources might be altered by isotopic fractionation during nitrification, thereby limiting the efficiency of source apportionment results. This study integrated hydrochemical parameters, site-specific isotopic compositions of potential nitrate sources, multiple stable isotopes (δD/δ18O-H2O, δ15N/δ18O-NO3- and Δ17O-NO3-), soil incubation experiments assessing the nitrification 15N-enrichment factor (εN), and a Bayesian mixing model (MixSIAR) to reduce/eliminate the influence of 15N/18O-fractionations on nitrate source apportionment. Surface water samples from a typical drinking water source region were collected quarterly (June 2021 to March 2022). Nitrate concentrations ranged from 0.35 to 3.06 mg/L (mean = 0.78 ± 0.46 mg/L), constituting ∼70 % of total nitrogen. A MixSIAR model was developed based on δ15N/δ18O-NO3- values of surface waters and the incorporation of a nitrification εN (-6.9 ± 1.8 ‰). Model source apportionment followed: manure/sewage (46.2 ± 10.7 %) > soil organic nitrogen (32.3 ± 18.5 %) > nitrogen fertilizer (19.7 ± 13.1 %) > atmospheric deposition (1.8 ± 1.6 %). An additional MixSIAR model coupling δ15N/δ18O-NO3- with Δ17O-NO3- and εN was constructed to estimate the potential nitrate source contributions for the June 2021 water samples. Results revealed similar nitrate source contributions (manure/sewage = 43.4 ± 14.1 %, soil organic nitrogen = 29.3 ± 19.4 %, nitrogen fertilizer = 19.8 ± 13.8 %, atmospheric deposition = 7.5 ± 1.6 %) to the original MixSIAR model based on εN and δ15N/δ18O-NO3-. Finally, an uncertainty analysis indicated the MixSIAR model coupling δ15N/δ18O-NO3- with Δ17O-NO3- and εN performed better as it generated lower uncertainties with uncertainty index (UI90) of 0.435 compared with the MixSIAR model based on δ15N/δ18O-NO3- (UI90 = 0.522) and the MixSIAR model based on δ15N/δ18O-NO3- and εN (UI90 = 0.442).
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Affiliation(s)
- Lielin Shu
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China
| | - Wenli Chen
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China
| | - Yinli Liu
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China
| | - Xu Shang
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China; Southern Zhejiang Water Research Institute (iWATER), Wenzhou 325035, China
| | - Yue Yang
- Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China; Southern Zhejiang Water Research Institute (iWATER), Wenzhou 325035, China
| | - Randy A Dahlgren
- Department of Land, Air and Water Resources, University of California, Davis, California 95616, USA
| | - Zheng Chen
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
| | - Minghua Zhang
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China; Department of Land, Air and Water Resources, University of California, Davis, California 95616, USA
| | - Xiaoliang Ji
- Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
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4
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Wang Y, Cao X, Yu H, Xu Y, Peng J, Qu J. Nitrate with enriched heavy oxygen isotope linked to changes in nitrogen source and transformation as groundwater table rises. JOURNAL OF HAZARDOUS MATERIALS 2023; 455:131527. [PMID: 37163892 DOI: 10.1016/j.jhazmat.2023.131527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/19/2023] [Accepted: 04/26/2023] [Indexed: 05/12/2023]
Abstract
Nitrate is a significant constituent of the total nitrogen pool in shallow aquifers and poses an escalating threat to groundwater resources, making it crucial to comprehend the source, conversion, and elimination of nitrogen using appropriate techniques. Although dual-isotope dynamics in nitrate have been widely used, uncertainties remain regarding the asynchronously temporal changes in δ18O-NO3- and δ15N-NO3- observed in hypoxic aquifers. This study aimed to investigate changes in nitrogen sources and transformations using temporal changes in field-based NO3- isotopic composition, hydro-chemical variables, and environmental DNA profiling, as the groundwater table varied. The results showed that the larger enrichment in δ18O-NO3- (+13‰) compared with δ15N-NO3- (-2‰) on average during groundwater table rise was due to a combination of factors, including high 18O-based atmospheric N deposition, canopies nitrification, and soil nitrification transported vertically by rainfalls, and 18O-enriched O2 produced through microbial and root respiration within denitrification. The strong association between functional gene abundance and nitrogen-related indicators suggests that anammox was actively processed with nitrification but in small bacterial population during groundwater table rise. Furthermore, bacterial species associated with nitrogen-associated gradients provided insight into subsurface nitrogen transformation, with Burkholderiaceae species and Pseudorhodobacter potentially serving as bioindicators of denitrification, while Candidatus Nitrotogn represents soil nitrification. Fluctuating groundwater tables can cause shifts in hydro-chemical and isotopic composition, which in turn can indicate changes in nitrogen sources and transformations. These changes can be used to improve input sources for mixture models and aid in microbial remediation of nitrate.
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Affiliation(s)
- Yajun Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xiaofeng Cao
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hongwei Yu
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yan Xu
- College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China
| | - Jianfeng Peng
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jiuhui Qu
- Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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5
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Gurmesa GA, Zhang S, Wang A, Zhu F, Mgelwa AS, Wang C, Zhang Q, Zhu W, Fang Y. Within‐site difference in nitrogen status between mixed forests and larch plantations: Evidence from multiple indicators. Ecosphere 2023. [DOI: 10.1002/ecs2.4358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Geshere Abdisa Gurmesa
- CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology, Chinese Academy of Sciences Shenyang China
| | - Shasha Zhang
- Division of Terrestrial Ecosystem Research, Department of Microbiology and Ecosystem Science University of Vienna Vienna Austria
| | - Ang Wang
- CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology, Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN) Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
| | - Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology, Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN) Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
| | - Abubakari Said Mgelwa
- CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology, Chinese Academy of Sciences Shenyang China
- College of Natural Resources Management & Tourism Mwalimu Julius K. Nyerere University of Agriculture & Technology Musoma Tanzania
| | - Chuankuan Wang
- College of Forestry Northeast Forestry University Harbin China
| | - Qiuliang Zhang
- Forestry College Inner Mongolia Agricultural University Hohhot China
| | - Weixing Zhu
- Department of Biological Sciences Binghamton University, The State University of New York Binghamton New York USA
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management Institute of Applied Ecology, Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN) Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
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6
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Sun ZC, Ma TY, Xu SQ, Guo HR, Hu CC, Chen CJ, Song W, Liu XY. Levels and variations of soil bioavailable nitrogen among forests under high atmospheric nitrogen deposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156405. [PMID: 35660601 DOI: 10.1016/j.scitotenv.2022.156405] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/27/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
To examine the perturbation of atmospheric nitrogen (N) deposition on soil N status and the biogeochemical cycle is meaningful for understanding forest function evolution with environmental changes. However, levels of soil bioavailable N and their environmental controls in forests receiving high atmospheric N deposition remain less investigated, which hinders evaluating the effects of enhanced anthropogenic N loading on forest N availability and N losses. This study analyzed concentrations of soil extractable N, microbial biomass N, net rates of N mineralization and nitrification, and their relationships with environmental factors among 26 temperate forests under the N deposition rates between 28.7 and 69.0 kg N ha-1 yr-1 in the Beijing-Tianjin-Hebei (BTH) region of northern China. Compared with other forests globally, forests in the BTH region showed higher levels of soil bioavailable N (NH4+, 27.1 ± 0.8 mg N kg-1; NO3-, 7.0 ± 0.8 mg N kg-1) but lower net rates of N mineralization and nitrification (0.5 ± 0.1 mg N kg-1 d-1 and 0.4 ± 0.1 mg N kg-1 d-1, respectively). Increasing N deposition levels increased soil nitrification and NO3- concentrations but did not increase microbial biomass N and N mineralization among the study forests. Soil moisture and C availability were found as dominant factors influencing microbial N mineralization and bioavailable N. In addition, by budgeting the differences in soil total N densities between the 2000s and 2010s, atmospheric N inputs to the forests were more retained in soils than lost proportionally (84% vs. 16%). We concluded that the high N deposition enriched soil N without stimulating microbial N mineralization among the study forests. These results clarified soil N status and the major controlling factors under high anthropogenic N loading, which is helpful for evaluating the fates and ecological effects of atmospheric N pollution.
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Affiliation(s)
- Zhong-Cong Sun
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Tian-Yi Ma
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Shi-Qi Xu
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Hao-Ran Guo
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Chao-Chen Hu
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Chong-Juan Chen
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Wei Song
- School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xue-Yan Liu
- School of Earth System Science, Tianjin University, Tianjin 300072, China.
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Gurmesa GA, Hobbie EA, Zhang S, Wang A, Zhu F, Zhu W, Koba K, Yoh M, Wang C, Zhang Q, Fang Y. Natural
15
N
abundance of ammonium and nitrate in soil profiles: New insights into forest ecosystem nitrogen saturation. Ecosphere 2022. [DOI: 10.1002/ecs2.3998] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- Geshere Abdisa Gurmesa
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology Chinese Academy of Sciences Shenyang China
| | - Erik A. Hobbie
- Earth Systems Research Center, Morse Hall University of New Hampshire Durham New Hampshire USA
| | - Shasha Zhang
- Division of Terrestrial Ecosystem Research, Department of Microbiology and Ecosystem Science University of Vienna Vienna Austria
| | - Ang Wang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN), Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
| | - Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN), Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
| | - Weixing Zhu
- Department of Biological Sciences Binghamton University, The State University of New York Binghamton New York USA
| | - Keisuke Koba
- Center for Ecological Research Kyoto University Shiga Japan
| | - Muneoki Yoh
- Institute of Agriculture Tokyo University of Agriculture and Technology Tokyo Japan
| | - Chuankuan Wang
- College of Forestry Northeast Forestry University Harbin China
| | - Qiuliang Zhang
- Forestry College Inner Mongolia Agricultural University Hohhot China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology Chinese Academy of Sciences Shenyang China
- Qingyuan Forest Chinese Ecosystem Research Network (Qingyuan Forest CERN), Chinese Academy of Sciences Shenyang China
- Key Laboratory of Stable Isotope Technique Shenyang China
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8
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Li Z, Walters WW, Hastings MG, Song L, Huang S, Zhu F, Liu D, Shi G, Li Y, Fang Y. Atmospheric nitrate formation pathways in urban and rural atmosphere of Northeast China: Implications for complicated anthropogenic effects. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 296:118752. [PMID: 34968617 DOI: 10.1016/j.envpol.2021.118752] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/14/2021] [Accepted: 12/23/2021] [Indexed: 06/14/2023]
Abstract
Effects of human activities on atmospheric nitrate (NO3-) formation remain unclear, though the knowledge is critical for improving atmospheric chemistry models and nitrogen deposition reduction strategies. A potentially useful way to explore this is to compare NO3- oxidation processes in urban and rural atmospheres based upon the oxygen stable isotope composition of NO3- (Δ17O-NO3-). Here we compared the Δ17O-NO3- from three-years of daily-based bulk deposition in urban (Shenyang) and forested rural sites (Qingyuan) in northeast China and quantified the relative contributions of different formation pathways based on the SIAR model. Our results showed that the Δ17O in Qiangyuan (26.2 ± 3.3‰) is significantly higher (p < 0.001) than in Shenyang (24.0 ± 4.0‰), and significantly higher in winter (Shenyang: 26.1 ± 6.7‰, Qingyuan: 29.6 ± 2.5‰) than in summer (Shenyang: 22.7 ± 2.9‰, Qingyuan: 23.8 ± 2.4‰) in both sites. The lower values in the urban site are linked with conditions that favored a higher relative contribution of nitrogen dioxide reaction with OH pathway (0.76-0.91) than in rural site (0.47-0.62), which should be induced by different levels of human activities in the two sites. The seasonal variations of Δ17O-NO3- in both sites are explained by a higher relative contribution of ozone-mediated oxidation chemistry and unfavorable conditions for the OH pathway during winter relative to summer, which is affected by human activities and seasonal meteorological condition change. Based on Δ17O, wintertime conditions led to a contribution of O3 related pathways (NO3 + DMS/HC and N2O5 hydrolysis) of 0.63 in Qingyuan and 0.42 in Shenyang, while summertime conditions led to 0.15 in Qingyuan and 0.05 in Shenyang. Our comparative study on Δ17O-NO3- between urban and rural sites reveals different anthropogenic effects on nitrate formation processes on spatial and temporal scales, illustrating different responses of reactive nitrogen chemistry to changes in human activities.
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Affiliation(s)
- Zhengjie Li
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in Southern China, College of Biological Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China; CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China
| | - Wendell W Walters
- Institute at Brown for Environment and Society, Brown University, Providence, RI, 02912, USA
| | - Meredith G Hastings
- Institute at Brown for Environment and Society, Brown University, Providence, RI, 02912, USA; Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, 02912, USA
| | - Linlin Song
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Liaoning Province, 110016, China
| | - Shaonan Huang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environment Science, Henan University, Kaifeng, 475004, China
| | - Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Liaoning Province, 110016, China
| | - Dongwei Liu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Liaoning Province, 110016, China
| | - Guitao Shi
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
| | - Yilan Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China; Key Laboratory of Stable Isotope Techniques and Applications, Liaoning Province, 110016, China.
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9
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Zhu F, Dai L, Hobbie EA, Qu Y, Huang D, Gurmesa GA, Zhou X, Wang A, Li Y, Fang Y. Quantifying nitrogen uptake and translocation for mature trees: an in situ whole-tree paired 15N labeling method. TREE PHYSIOLOGY 2021; 41:2109-2125. [PMID: 34014313 DOI: 10.1093/treephys/tpab060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
Nitrogen (N) is one of the major nutrients limiting plant growth in terrestrial ecosystems. To avoid plant-microbe competition, previous studies on plant N uptake preference often used hydroponic experiments on fine roots of seedlings and demonstrated ammonium preference for conifer species; however, we lack information about N uptake and translocation in the field. In this paper, we described a method of in situ paired 15N labeling and reported the rates and time course of N uptake and translocation by mature trees in situ. We added 15N-enriched ammonium or nitrate, together with the nitrification inhibitor dicyandiamide, to paired Larix kaempferi (Lamb.) Carr (larch) trees from 30-, 40- and 50-year-old plantations. Fine roots, coarse roots, leaves and small branches were collected 2, 4, 7, 14 and 30 days after labeling. Nitrate uptake and translocation averaged 1.59 ± 0.16 μg 15N g-1 day-1, which is slightly higher than ammonium (1.08 ± 0.10 μg 15N g-1 day-1), in all tree organs. Nitrate contributed 50-78% to N uptake and translocation, indicating efficient nitrate use by larch in situ. We observed no age effect. We suggest that sampling leaves after 4 days of 15N labeling is sufficient to detect mature tree N uptake preference in situ. Whole-tree 15N-ammonium recovery equaled that of 15N-nitrate 30 days after 15N addition, implying the importance of both ammonium and nitrate to mature larch N use in the long run. We conclude that our method is promising for studying mature tree N uptake preference in situ and can be applied to other conifer and broadleaf species. We suggest using highly enriched 15N tracer to overcome soil dilution and a nitrification inhibitor to minimize ammonium transformation to nitrate. Our study revealed mature tree N preference in situ and demonstrated the strong contribution of nitrate toward mature larch growth on soils rich in nitrate.
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Affiliation(s)
- Feifei Zhu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Qingyuan Forest CERN, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
| | - Luming Dai
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
| | - Erik A Hobbie
- Earth Systems Research Center, Morse Hall, University of New Hampshire, Durham, NH 03824-3525, USA
| | - Yuying Qu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
| | - Dan Huang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
| | - Geshere A Gurmesa
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
| | - Xulun Zhou
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
| | - Ang Wang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Qingyuan Forest CERN, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
| | - Yinghua Li
- School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
- Qingyuan Forest CERN, Shenyang 110016, China
- Key Laboratory of Stable Isotope Techniques and Applications, Shenyang, Liaoning Province 110016, China
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10
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Tracing plant–environment interactions from organismal to planetary scales using stable isotopes: a mini review. Emerg Top Life Sci 2021; 5:301-316. [DOI: 10.1042/etls20200277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 01/09/2023]
Abstract
Natural isotope variation forms a mosaic of isotopically distinct pools across the biosphere and flows between pools integrate plant ecology with global biogeochemical cycling. Carbon, nitrogen, and water isotopic ratios (among others) can be measured in plant tissues, at root and foliar interfaces, and in adjacent atmospheric, water, and soil environments. Natural abundance isotopes provide ecological insight to complement and enhance biogeochemical research, such as understanding the physiological conditions during photosynthetic assimilation (e.g. water stress) or the contribution of unusual plant water or nutrient sources (e.g. fog, foliar deposition). While foundational concepts and methods have endured through four decades of research, technological improvements that enable measurement at fine spatiotemporal scales, of multiple isotopes, and of isotopomers, are advancing the field of stable isotope ecology. For example, isotope studies now benefit from the maturation of field-portable infrared spectroscopy, which allows the exploration of plant–environment sensitivity at physiological timescales. Isotope ecology is also benefiting from, and contributing to, new understanding of the plant–soil–atmosphere system, such as improving the representation of soil carbon pools and turnover in land surface models. At larger Earth-system scales, a maturing global coverage of isotope data and new data from site networks offer exciting synthesis opportunities to merge the insights of single-or multi-isotope analysis with ecosystem and remote sensing data in a data-driven modeling framework, to create geospatial isotope products essential for studies of global environmental change.
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