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Frontiers of Environmental Science & Engineering

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Front.Environ.Sci.Eng.    0, Vol. Issue () : 561-569    https://doi.org/10.1007/s11783-013-0601-5
RESEARCH ARTICLE
Total phosphorus concentrations in surface water of typical agro- and forest ecosystems in China, 2004–2010
Juan XIE1,Xinyu ZHANG1,*(),Zhiwei XU1,Guofu YUAN1,Xinzhai TANG1,Xiaomin SUN1,D.J. BALLANTINE2
1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. Department of Environmental Science, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
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Abstract

The concentrations of total phosphorus (TP) from 83 surface water sampling sites in 29 of the Chinese Ecosystem Research Network (CERN) monitored ecosystems, representing typical agro- and forest ecosystems, were assessed using monitoring data collected between 2004 and 2010 from still and flowing surface water. Results showed that, TP concentrations were significantly higher in agro-ecosystems than those in forest ecosystems both for still and flowing surface water. For agro-ecosystems, TP concentrations in the southern area were significantly higher than those in the northern and north-western areas for both still and flowing surface water, however no distinct spatial pattern was observed for forest ecosystems. In general, the median values of TP within agro- and forest ecosystems did not exceed the Class V guideline for still (0.2 mg·L-1) or flowing (0.4 mg·L-1) surface water, however, surface water at some agro-ecosystem sampling sites was frequently polluted by TP. Elevated concentrations were mainly found in still surface water at the Changshu, Fukang, Linze and Naiman monitored ecosystems, where exceedance (>0.2 mg·L-1) frequencies varied from 43% to 78%. For flowing water, elevated TP concentrations were found at the Hailun, Changshu and Shapotou monitored ecosystems, where exceedance (>0.4 mg·L-1) frequencies varied from 29% to 100%. Irrational fertilization, frequent irrigation and livestock manure input might be the main contributors of high TP concentrations in these areas, and reduced fertilizer applications, improvements in irrigation practices and centralized treatment of animal waste are necessary to control P loss in these TP vulnerable zones.

Keywords Chinese Ecosystem Research Network (CERN)      total phosphorus (TP)      surface water      ecosystem type      spatial variation     
Corresponding Author(s): Xinyu ZHANG   
Issue Date: 11 June 2014
 Cite this article:   
Juan XIE,Xinyu ZHANG,Zhiwei XU, et al. Total phosphorus concentrations in surface water of typical agro- and forest ecosystems in China, 2004–2010[J]. Front.Environ.Sci.Eng., 0, (): 561-569.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-013-0601-5
https://academic.hep.com.cn/fese/EN/Y0/V/I/561
Fig.1  Distribution map of the terrestrial ecosystem monitored ecosystems in the Chinese Ecosystem Research Network (CERN).The different colors represent different ecotypes
Fig.2  Distribution of TP concentrations in surface water within agro- and forest ecosystems ((a) for still surface water, (b) for flowing surface water). Box plots labeled with different letters indicate that the differences in median concentrations between the two groups are significant (p<0.05). Boxes illustrate the 25th, 50th and 75th percentiles, the whiskers indicate the 10th and 90th percentiles, the “–″ indicates the max and minimum percentiles, the “×″ indicates the 1th and 99th percentiles, the “·″ indicates the mean values. These descriptions also apply to Fig. 3 and Fig. 4
Fig.3  Box plot showing the distribution of TP concentrations in surface water within agro- ecosystems grouped by geographical region (a for still surface water, b for flowing surface water)
Fig.4  Box plot showing the distribution of TP concentrations in surface water within forest ecosystems grouped by geographical region
spatial regionmonitored ecosystemsgeographical locationMAP/(mm)soil typesoil AP/(mg·kg-1)land useapplication rate/(kg·hm-2)Still/(mg·L-1)Flowing/(mg·L-1)
samples (sites)medianmax>0.2 mg·L-1frequencysamples (sites)medianmax>0.4mg·L-1frequency
northAnsai109°19′12″E 36°51′29″N500Loessial18Soybean-Millet7568(1)0.070.594%
Changwu107°40′59″E 34°14′27″N584Loessial18Maize-Wheat7527(1)0.040.10018(1)0.021.436%
Fengqiu114°19′43″E 35°00′40″N597Fluvo-aquic11Maize-Wheat60-7567(1)0.090.709%
Hailun126°55′39″E 47°27′15″N500-600Black36Wheat-Maize55-82.421(1)20.841.66100%
Shenyang123°22′05″E 41°31′06″N650-700Aquic brown19Maize56.4-7516(1)0.090.13017(1)0.050.110
Yucheng116°34′13″E 36°49′ 51″N582Fluvo-aquic27Maize-Wheat126.579(5)0.051.8213%
southChangshu120°25′08″E 31°19′46″N1038Red24Paddy-Wheat18060(1)0.262.4778%121(2)0.312.6935%
Huanjiang108°19′12″E 24°43′18″N1389Calcareous6Maize-Soybean1355(1)0.060.12012(2)0.010.428%
Qianyanzhou115°02′04″E 26°26′40″N1542Red13Paddy-Paddy13522(3)0.050.16013(1)0.030.160
Yanting105°27′21″E 31°16′18″N826Purple10Maize-Wheat16045(1)0.070.264%88(2)0.101.038%
Taoyuan111°26′26″E 28°55′46″N1450Red11Paddy-Paddy16012(1)0.090.308%24(2)0.120.734%
Yingtan116°33′18″E 28°07′23″N1785Red20Peanut13569(7)0.051.3022%77(6)0.010.130
northwestAkesu80°51′40″E 40°37′49″N45.7Aeolian sandy12Cotton17211 (1)0.020.04021(2)0.020.110
Cele80°43′39″E 109°19′12″N35Aeolian sandy13Cotton-Maize12622(1)0.010.05022(1)0.020.595%
Eerduosi110°11′29″E 39°29′37″N348.3Aeolian sandyCotton-Maize121.84(1)0.140.18017(1)0.040.130
Fukang87°55′58″E 44°17′26″N164Aeolian sandy21Cotton-Maize121.87(1)0.120.3443%7(1)0.140.260
Linze100°07′42″E 139°20′59″N117Aeolian sandy24Wheat–Maize2257(2)0.180.8043%8(1)0.160.230
Naiman120°42′00″E 42°55′47″N340-450Aeolian sandy20Wheat-Maize1359(1)0.250.3267%14(2)0.120.250
Shapotou105°00′01″E 37°16′04″N180-220Aeolian sandy9Wheat-Maize10517(1)0.220.7429%
Tab.1  Total phosphorus concentrations in surface water within agro-ecosystems
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