Letter to the editor: Critical assessments of the current state of scientific knowledge, terminology, and research needs concerning the ecological effects of elevated atmospheric nitrogen deposition in China
In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N) deposition in 2010 was 2.32 g N m−2 yr−1” in China. This value is comparable with previous estimations based on a synthesized dataset of wet/bulk in...
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| Published in | Atmospheric environment (1994) Vol. 153; pp. 109 - 116 |
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| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.03.2017
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| Online Access | Get full text |
| ISSN | 1352-2310 1873-2844 |
| DOI | 10.1016/j.atmosenv.2017.01.015 |
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| Abstract | In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N) deposition in 2010 was 2.32 g N m−2 yr−1” in China. This value is comparable with previous estimations based on a synthesized dataset of wet/bulk inorganic N deposition observations, which underestimates the total N deposition since their algorithm (equations (2) and (3) in their paper) does not account for dry deposition of NH3, HNO3, NOx and wet/dry deposition of HONO and organic nitrogen (e.g. amines, amides, PAN). Indeed, Gu et al. (2015) mixed the terminology of wet/bulk deposition and total deposition. Another flawed assumption by Gu et al. (2015) is that all inorganic N in precipitation estimated by their algorithm originates from fertilizer and coal combustion. This is incorrect and almost certainly causes biases in the spatial and temporal distribution of estimated wet/bulk inorganic N deposition (Fig. 5 in their paper), further considering the fact that they neglected important N sources like livestock and they did not consider the nonlinearity between various sources and deposition. Besides the input data on N deposition, the model validation (Sect. 2.3.2) described in their paper also requires clarification because the detailed validation information about the time series of observational dataset versus modeling results was not given. As a result of these combined uncertainties in their estimation of N deposition and the lack of detail for model-measurement comparison, their estimates of the impacts of N deposition on carbon storage in Chinese forests may need further improvement. We suggest the clarification of the terminology regarding N deposition, especially for wet deposition, bulk deposition, gaseous and particulate dry deposition or total deposition since the accurate distinction between these terms is crucial to investigating and estimating the effects of N deposition on ecosystems. |
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| AbstractList | In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N) deposition in 2010 was 2.32 g N m−2 yr−1” in China. This value is comparable with previous estimations based on a synthesized dataset of wet/bulk inorganic N deposition observations, which underestimates the total N deposition since their algorithm (equations (2) and (3) in their paper) does not account for dry deposition of NH3, HNO3, NOx and wet/dry deposition of HONO and organic nitrogen (e.g. amines, amides, PAN). Indeed, Gu et al. (2015) mixed the terminology of wet/bulk deposition and total deposition. Another flawed assumption by Gu et al. (2015) is that all inorganic N in precipitation estimated by their algorithm originates from fertilizer and coal combustion. This is incorrect and almost certainly causes biases in the spatial and temporal distribution of estimated wet/bulk inorganic N deposition (Fig. 5 in their paper), further considering the fact that they neglected important N sources like livestock and they did not consider the nonlinearity between various sources and deposition. Besides the input data on N deposition, the model validation (Sect. 2.3.2) described in their paper also requires clarification because the detailed validation information about the time series of observational dataset versus modeling results was not given. As a result of these combined uncertainties in their estimation of N deposition and the lack of detail for model-measurement comparison, their estimates of the impacts of N deposition on carbon storage in Chinese forests may need further improvement. We suggest the clarification of the terminology regarding N deposition, especially for wet deposition, bulk deposition, gaseous and particulate dry deposition or total deposition since the accurate distinction between these terms is crucial to investigating and estimating the effects of N deposition on ecosystems. In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N) deposition in 2010 was 2.32 g N m⁻² yr⁻¹” in China. This value is comparable with previous estimations based on a synthesized dataset of wet/bulk inorganic N deposition observations, which underestimates the total N deposition since their algorithm (equations (2) and (3) in their paper) does not account for dry deposition of NH3, HNO3, NOx and wet/dry deposition of HONO and organic nitrogen (e.g. amines, amides, PAN). Indeed, Gu et al. (2015) mixed the terminology of wet/bulk deposition and total deposition. Another flawed assumption by Gu et al. (2015) is that all inorganic N in precipitation estimated by their algorithm originates from fertilizer and coal combustion. This is incorrect and almost certainly causes biases in the spatial and temporal distribution of estimated wet/bulk inorganic N deposition (Fig. 5 in their paper), further considering the fact that they neglected important N sources like livestock and they did not consider the nonlinearity between various sources and deposition. Besides the input data on N deposition, the model validation (Sect. 2.3.2) described in their paper also requires clarification because the detailed validation information about the time series of observational dataset versus modeling results was not given. As a result of these combined uncertainties in their estimation of N deposition and the lack of detail for model-measurement comparison, their estimates of the impacts of N deposition on carbon storage in Chinese forests may need further improvement. We suggest the clarification of the terminology regarding N deposition, especially for wet deposition, bulk deposition, gaseous and particulate dry deposition or total deposition since the accurate distinction between these terms is crucial to investigating and estimating the effects of N deposition on ecosystems. |
| Author | Wentworth, Gregory R. Du, Enzai Xiao, Hongwei Liu, Yongwen Ma, Hongyuan Liu, Xuejun Zhao, Yuanhong Fang, Yunting Zhang, Lin Li, Yi Pan, Yuepeng Wang, Yuesi |
| Author_xml | – sequence: 1 givenname: Yuepeng orcidid: 0000-0002-5547-0849 surname: Pan fullname: Pan, Yuepeng email: panyuepeng@mail.iap.ac.cn organization: State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China – sequence: 2 givenname: Yongwen orcidid: 0000-0002-9664-303X surname: Liu fullname: Liu, Yongwen organization: Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China – sequence: 3 givenname: Gregory R. surname: Wentworth fullname: Wentworth, Gregory R. organization: Department of Chemistry, University of Toronto, 80 St. George Street, Toronto M5S 3H6, Canada – sequence: 4 givenname: Lin surname: Zhang fullname: Zhang, Lin organization: Laboratory for Climate and Ocean-Atmosphere Sciences, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China – sequence: 5 givenname: Yuanhong surname: Zhao fullname: Zhao, Yuanhong organization: Laboratory for Climate and Ocean-Atmosphere Sciences, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China – sequence: 6 givenname: Yi surname: Li fullname: Li, Yi organization: Department of Atmospheric Sciences, Colorado State University, Fort Collins, CO, United States – sequence: 7 givenname: Xuejun surname: Liu fullname: Liu, Xuejun organization: College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China – sequence: 8 givenname: Enzai surname: Du fullname: Du, Enzai organization: College of Resources Science and Technology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China – sequence: 9 givenname: Yunting surname: Fang fullname: Fang, Yunting organization: Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110164, China – sequence: 10 givenname: Hongwei surname: Xiao fullname: Xiao, Hongwei organization: Laboratory of Atmospheric Environment, East China Institute of Technology, Nanchang 330013, China – sequence: 11 givenname: Hongyuan surname: Ma fullname: Ma, Hongyuan organization: Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China – sequence: 12 givenname: Yuesi surname: Wang fullname: Wang, Yuesi organization: State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
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| Snippet | In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N)... In a publication in Atmospheric Environment (http://dx.doi.org/10.1016/j.atmosenv.2015.10.081), Gu et al. (2015) estimated that “the total nitrogen (N)... |
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| SubjectTerms | algorithms amides amines ammonia atmospheric chemistry Bulk deposition carbon sequestration China coal combustion data collection Dry deposition ecosystems elevated atmospheric gases equations fertilizers forests livestock model validation nitric acid nitrogen nitrogen content Nitrogen deposition nitrogen oxides terminology time series analysis uncertainty Wet deposition |
| Title | Letter to the editor: Critical assessments of the current state of scientific knowledge, terminology, and research needs concerning the ecological effects of elevated atmospheric nitrogen deposition in China |
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