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Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980-2010
被引:17
作者:
Chen, Dingjiang
[1
,2
]
Hu, Minpeng
[1
,3
]
Guo, Yi
[1
]
Dahlgren, Randy A.
[4
]
机构:
[1] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China
[2] Zhejiang Univ, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou 310058, Zhejiang, Peoples R China
[3] Zhejiang Univ, Zhejiang Prov Key Lab Subtrop Soil & Plant Nutr, Hangzhou 310058, Zhejiang, Peoples R China
[4] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
基金:
中国国家自然科学基金;
关键词:
Nitrogen;
Nutrient budget;
Legacy nutrients;
Land use;
Climate change;
Atmospheric deposition;
LAKE DIANCHI BASIN;
INORGANIC NITROGEN;
CLIMATE-CHANGE;
INPUTS NANI;
N-EXPORT;
WATERSHEDS;
FLUXES;
LAND;
SOIL;
RECOMMENDATIONS;
D O I:
10.1016/j.agee.2016.01.037
中图分类号:
S [农业科学];
学科分类号:
09 ;
摘要:
This study quantified the long-term response of riverine total nitrogen (TN) export to changes in net anthropogenic nitrogen inputs to forest/agricultural (NANI(FA)) and residential (NANI(R)) systems across three catchments affected by low (LD), medium (MD), and high (HD) human impacts in eastern China. Annual NANI(FA) increased by 63-87% in 1980-1999, followed by 0% (LD), -23% (MD) and -40% (HD) changes of NANI(FA) in 2000-2010, resulting in a net increase of 56-78% in NANI(FA) in 1980-2010. Annual NANI(R) increased by 101-152% in the three catchments in 1980-2010. Land-use showed a 58-65% increase in developed land area (D%) and a 96-108% increase in agricultural lands with improved drainage systems (AD%) over the study period. In response to changes in NANI(FA), NANI(R) and land-use, riverine TN flux continuously increased 3.0- to 6.1-fold in the three catchments over the past 31 years. For each catchment, an empirical model incorporating annual NANI(FA), NANI(R), water discharge, D%, and AD% was developed (R-2=0.93-0.97) for predicting and quantifying sources of annual riverine TN fluxes. The model estimated that NANI(FA), NANI(R) and other N sources (e.g., natural background, legacy, and industrial N sources) contributed 27-90%, 0-45%, and 10-28% of riverine TN fluxes, respectively. Model results were consistent with spatio-temporal changes of riverine chloride, ammonium, nitrate, dissolve oxygen and pH, as well as changes in available N levels in agricultural soils. In terms of N source management, reduction of NANI(FA) in catchment LD and NANI(R) in catchment HD would have the greatest impact on reducing riverine TN fluxes. Furthermore, changes in land use and climate as well as legacy N should be considered in developing N pollution control strategies. (C) 2016 Elsevier B.V. All rights reserved.
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页码:145 / 155
页数:11
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