dc.contributor.author | Wu, Zhen | |
dc.contributor.author | Zou, Rui | |
dc.contributor.author | Jiang, Qingsong | |
dc.contributor.author | Elser, James J. | |
dc.contributor.author | Zhao, Lei | |
dc.contributor.author | Ye, Rui | |
dc.contributor.author | Liu, Yong | |
dc.date.accessioned | 2020-11-06T18:01:43Z | |
dc.date.available | 2020-11-06T18:01:43Z | |
dc.date.issued | 2020-07 | |
dc.date.submitted | 2019-11 | |
dc.identifier.issn | 1015-1621 | |
dc.identifier.issn | 1420-9055 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/128386 | |
dc.description.abstract | One debate about lake restoration is whether there is overemphasis of a “Phosphorus (P)-only” paradigm, while overlooking the limiting effect of nitrogen (N). In particular, the roles of internal nutrient cycling which could act as drivers of algal blooms are not yet well assessed. However, it is hardly possible to identify the complex mechanisms of nutrient limitation patterns in lakes only by in-situ experiments or monitored data. Numerical modeling can serve as a complementary approach by providing quantitative internal variations with high spatial and temporal resolutions. A three-dimensional model-based N:P stoichiometric approach was developed to explore the storage pools and fluxes that affect the limiting nutrient in hyper-eutrophic Lake Dianchi, the most eutrophic large lake in China with seasonal N limitation. The results highlighted the role of benthic P fluxes, which fluctuated considerably within a year and could supply enough P for algae, contributing over 50% of P input and leading to relative N deficiency during algal bloom. Further insights into N cycling indicated that N deficiency could be attributed to low N fixation and extremely high N losses from denitrification (~ 50% of total loss). Considering the continuous sediment P release and N losses that promote N deficiency, controlling both N and P loadings will benefit lake restoration. | en_US |
dc.publisher | Springer Science and Business Media LLC | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/s00027-020-00744-w | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Springer International Publishing | en_US |
dc.title | What maintains seasonal nitrogen limitation in hyper-eutrophic Lake Dianchi? Insights from stoichiometric three-dimensional numerical modeling | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Wu, Zhen et al. "What maintains seasonal nitrogen limitation in hyper-eutrophic Lake Dianchi? Insights from stoichiometric three-dimensional numerical modeling." Aquatic Sciences 82, 4 (July 2020): 70 © 2020 Springer Nature | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences | en_US |
dc.relation.journal | Aquatic Sciences | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-10-08T03:21:05Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer Nature Switzerland AG | |
dspace.embargo.terms | Y | |
dspace.date.submission | 2020-10-08T03:21:05Z | |
mit.journal.volume | 82 | en_US |
mit.journal.issue | 4 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Complete | |