4.4 Article

Watershed nitrogen export model related to changing nitrogen balance and hydrology in the Changjiang River basin

期刊

NUTRIENT CYCLING IN AGROECOSYSTEMS
卷 98, 期 1, 页码 87-95

出版社

SPRINGER
DOI: 10.1007/s10705-014-9598-9

关键词

Nitrogen export coefficient model; Watershed N balance; Runoff; Dissolved inorganic nitrogen; The Changjiang River

资金

  1. Exploratory Forefront Project for the Strategic Science Plan in IGSNRR, CAS [2012QY001]
  2. State Key Laboratory of Lake Science and Environment [2012SKL012]
  3. National Science Foundation of China [20777073, 21177126]

向作者/读者索取更多资源

Rivers play a key role in linking between terrestrial and aquatic ecosystems, and are becoming important sinks of nitrogen (N). However, quantifying N export from terrestrial ecosystems to rivers at large scales is still challenging, due to the heterogeneous characteristics of watersheds in hydrology, land use, geology, climatology, etc. N export from terrestrial ecosystems to rivers is basically controlled by N balances and driven by hydrological processes. Here a model of watershed export coefficient (E (ws) ) of dissolved inorganic nitrogen (DIN) is proposed to describe the dynamic processes of DIN export to the river from non-point sources (NPS), with emphasis on the changing N balance and hydrology in the Changjiang River basin during the period 1970-2003. We found a significant relationship between E (ws) and the relative N surplus degree, which can predict the variation of E (ws) in the basin. Our study shows that E (ws) increased from 0.11 to 0.61 across the whole basin during the period, indicating E (ws) was dynamic rather than static through time. The amounts of NPS-DIN export to the river (W (NPS) ) increased from 0.22 x 10(3) to 4.54 x 10(3) kg km(-2) year(-1) in response to the increasing watershed N surplus during 1970-2003. The quick increase of W (NPS) and E (ws) demonstrate the diminishing capacity of terrestrial ecosystems to retain N as N surplus increased as a direct result of human activities. Our research helps researchers and policy makers to understand the mechanism of river N level in response to watershed N balance and hydrology processes.

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