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Zhang Q, Li Y, Wang M, Wang K, Meng F, Liu L, Zhao Y, Ma L, Zhu Q, Xu W, Zhang F. Atmospheric nitrogen deposition: A review of quantification methods and its spatial pattern derived from the global monitoring networks. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 216:112180. [PMID: 33865187 DOI: 10.1016/j.ecoenv.2021.112180] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/18/2021] [Accepted: 03/20/2021] [Indexed: 06/12/2023]
Abstract
Atmospheric nitrogen (N) deposition is a vital component of the global N cycle. Excessive N deposition on the Earth's surface has adverse impacts on ecosystems and humans. Quantification of atmospheric N deposition is indispensable for assessing and addressing N deposition-induced environmental issues. In the present review, we firstly summarized the current methods applied to quantify N deposition (wet, dry, and total N deposition), their advantages and major limitations. Secondly, we illustrated the long-term N deposition monitoring networks worldwide and the results attained via such long-term monitoring. Results show that China faces heavier N deposition than the United States, European countries, and other countries in East Asia. Next, we proposed a framework for estimating the atmospheric wet and dry N deposition using a combined method of surface monitoring, modeling, and satellite remote sensing. Finally, we put forth the critical research challenges and future directions of the atmospheric N deposition. CAPSULE: A review of quantification methods and the global data on nitrogen deposition and a systematic framework was proposed for quantifying nitrogen deposition.
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Affiliation(s)
- Qi Zhang
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China; Water Systems and Global Change Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| | - Yanan Li
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China; Water Systems and Global Change Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| | - Mengru Wang
- Water Systems and Global Change Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands
| | - Kai Wang
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China
| | - Fanlei Meng
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China
| | - Lei Liu
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yuanhong Zhao
- College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
| | - Lin Ma
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China
| | - Qichao Zhu
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China
| | - Wen Xu
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China.
| | - Fusuo Zhang
- College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions of MOE, China Agricultural University, Beijing 100193, China
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Sickman JO, James AE, Fenn ME, Bytnerowicz A, Lucero DM, Homyak PM. Quantifying atmospheric N deposition in dryland ecosystems: A test of the Integrated Total Nitrogen Input (ITNI) method. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 646:1253-1264. [PMID: 30235611 DOI: 10.1016/j.scitotenv.2018.07.320] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/21/2018] [Accepted: 07/23/2018] [Indexed: 06/08/2023]
Abstract
Estimating nitrogen (N) deposition to terrestrial ecosystems is complicated by the multiple forms and routes of N loading from the atmosphere. We used the integrated total nitrogen input (ITNI) method, which is based on the principle of isotope dilution within a plant-liquid-sand system, to quantify N inputs to coastal sage scrub ecosystems in Riverside, California. Using the ITNI method, we measured atmospheric N deposition of 29.3 kg N ha-1 yr-1 over a range of aboveground plant biomass of 228 to 424 g m-2. From 85 to 96% of the atmospheric N inputs were taken up by plants in the ITNI modules with most of the assimilation mediated by, and stored in, aboveground biomass. Parallel measurements using conventional approaches yielded deposition rates of 25.2 kg N ha-1 yr-1 when using the inferential method and 4.8 kg N ha-1 yr-1 using throughfall collectors. The relatively low throughfall estimates were attributed to canopy retention of inorganic N, low rainfall, and to the fact that the throughfall flux data did not include organic N and stomatal uptake of N gases. Also, during dry periods, frequent watering of ITNI modules may have increased stomatal conductance and led to overestimates of N deposition. Across published studies that used the ITNI method, areal N deposition rates varied by ~40-fold, were positively correlated with plant biomass and 90% of the variability in measured deposition rates can be explained by plant biomass production. The ITNI method offers a holistic approach to measuring atmospheric N deposition in arid ecosystems, although more study is needed to understand how watering rates effect N deposition measurements.
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Affiliation(s)
- James O Sickman
- Department of Environmental Sciences, University of California, Riverside, CA 92521, USA.
| | - Amanda E James
- Department of Environmental Sciences, University of California, Riverside, CA 92521, USA
| | - Mark E Fenn
- Pacific Southwest Research Station, USFS, 4955 Canyon Crest Dr., Riverside, CA 92507, USA
| | - Andrzej Bytnerowicz
- Pacific Southwest Research Station, USFS, 4955 Canyon Crest Dr., Riverside, CA 92507, USA
| | - Delores M Lucero
- Department of Environmental Sciences, University of California, Riverside, CA 92521, USA
| | - Peter M Homyak
- Department of Environmental Sciences, University of California, Riverside, CA 92521, USA
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