Spatial dependence and bioavailability of metal fractions in paddy fields on metal concentrations in rice grain at a regional scale

SOILS, SEC 2 • GLOBAL CHANGE, ENVIRON RISK ASSESS, SUSTAINABLE LAND USE • RESEARCH ARTICLE

Abstract

Purpose

Although the bioavailability of heavy metals has been widely investigated, little information is available on the spatial correlations of heavy metals in soil–rice systems at a regional scale. A study of heavy metals in soil–rice systems at a present rice production area could provide valuable information on the safety of rice production and provide guidelines beneficial to agriculture management and strategic sustainable agriculture in China and other rapidly developing regions in the world. The overall goals of this study were to identify the characteristics of metal fractions and their bioavailability to rice plants in the paddy fields of a present rice production region.

Materials and methods

In the rice harvest season (October 2006), 96 pairs of rice grain and rooted soil samples were collected from rice production area of Wenling in southeast Zhejiang province, China, which is one of the well-known electronic and electric waste (E-waste) recycling centers. Soil samples were analyzed for total heavy metal concentrations, metal fraction concentrations, and soil properties. Soil properties analyzed in this study included soil pH, electrical conductivity, organic matter, Fe oxides, and soil particle size distribution. Rice grain samples were analyzed for heavy metal concentrations. Multivariate statistical and geostatistical methods were applied to study the spatial dependence characteristics of metal fractions and their spatial correlation with uptake by rice plants in the rice production area and to identify the bioavailability of metal fractions to rice plants.

Results and discussion

The paddy soils of the studied area showed Cd contamination and some paddy soils presented a potential Cu, Ni, and Zn risk. The elevated levels of Cd were predominantly in non-residual (extractable) fractions. The percentage of Cd in fractions decreased in the order of exchangeable > Fe–Mn oxide bound > residual > organic bound fraction. In contrast, soil Cu, Ni, Pb, and Zn were mainly in the residual (non-extractable) fractions. The fractions of Ni, Pb, and Zn followed the order of residual > Fe–Mn oxide bound > organic bound > exchangeable fraction; the fractions of Cu decreased in the order of residual > organic bound > Fe–Mn oxide bound fraction. The spatial distribution patterns of non-residual fractions exhibited similarities with the highest metal concentrations in the northwest area owing to the industries and E-waste recycling activities. Most metals in rice grain were the strongest spatially correlated with the exchangeable fraction, followed by the organic bound fraction, indicating that exchangeable and organic bound fractions had the highest bioavailability. Rice Cd and Zn were strong spatially correlated with exchangeable, Fe–Mn oxide, and organic bound fractions; rice Ni and Cu were strongly spatially correlated with the exchangeable and organic bound fractions, respectively. The principal component analysis results also confirmed that exchangeable, Fe–Mn oxide, and organic bound soil fractions can be considered as bioavailable fractions to rice for Cd and Zn, while exchangeable and organic fractions were more important sinks for Ni and Cu, respectively.

Conclusions

Due to a comparatively high input of Cd in the paddy soils, soil Cd was predominantly associated with non-residual fractions, especially with the exchangeable fraction. The soil Cu, Ni, Pb, and Zn were largely associated with the residual fraction while little associated with the exchangeable fraction. The bioavailability of the fractions to rice varied with metal fractions. In general, the exchangeable fraction had the highest bioavailability to rice plants, followed by the organic bound fraction. The bioavailability of the fractions to rice also varied with heavy metals. The exchangeable, Fe–Mn oxide, and organic bound fractions had high bioavailability to rice for Cd and Zn; the exchangeable and organic bound fractions had highest bioavailability for Ni and Cu, respectively.

Keywords

Bioavailability Cross-correlogram Heavy metals Sequential fractionation Soil–rice system 

Notes

Acknowledgments

This research was sponsored by the Major Program of National Natural Science Foundation of China (41090284), the Key Projects in the National Science & Technology Pillar Program (2009BADB7B01), the Hangzhou Technology Program (20091133B05), the Young Teacher Innovative Group Foundation of Zhejiang Agriculture and Forestry University (2332010303), and the Zhejiang Provincial Natural Science Foundation (Z5080203). The authors would like to express their appreciation to the laboratory group for their assistance in the analysis of the samples and to Philip C. Brookes for his help and effort on this paper.

References

  1. Adriano DC (1986) Trace elements in the terrestrial environment. Springer, New YorkGoogle Scholar
  2. Adriano DC (2001) Trace elements in terrestrial environments: biogeochemistry, bioavailability, and risks of metals. Springer, New YorkGoogle Scholar
  3. Agricultural Chemistry Committee of China (1983) Conventional methods of soil and agricultural chemistry analysis. Science, Beijing (in Chinese)Google Scholar
  4. Avendaño F, Pierce FJ, Melakerhan HM (2004) Spatial analysis of soybean yield in relation to soil texture, soil fertility and soybean cyst nematode. Nematology 6:527–545CrossRefGoogle Scholar
  5. Brazauskiene DM, Paulauskas V, Sabiene N (2008) Speciation of Zn, Cu, and Pb in the soil depending on soil texture and fertilization with sewage sludge compost. J Soils Sediments 8:184–192CrossRefGoogle Scholar
  6. Chen T, Liu XM, Zhu MZ, Zhao KL, Wu JJ, Xu JM, Huang PM (2008) Identification of trace element sources and associated risk assessment in vegetable soils of the urban–rural transitional area of Hangzhou, China. Environ Pollut 151:67–78CrossRefGoogle Scholar
  7. Coen N, Mothersill C, Kadhim M, Wright EG (2001) Heavy metals of relevance to human health induce genomic instability. J Pathol 195:293–299CrossRefGoogle Scholar
  8. Deutsch CV, Journel AG (1998) Geostatistical software library and user’s guide. Oxford University Press, New YorkGoogle Scholar
  9. Du P, Xue ND, Liu L, Li FS (2008) Distribution of Cd, Pb, Zn and Cu and their chemical speciations in soils from a peri-smelter area in northeast China. Environ Geol 55:205–213CrossRefGoogle Scholar
  10. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New YorkGoogle Scholar
  11. Hu NJ, Li ZQ, Huang P, Cheng T (2006) Distribution and mobility of metals in agricultural soils near a copper smelter in South China. Environ Geochem Health 28:19–26CrossRefGoogle Scholar
  12. Huang PM, Gobran GR (2005) Biogeochemistry of trace elements in the rhizosphere. Elsevier, AmsterdamGoogle Scholar
  13. Jalali M, Khanlari ZV (2008) Environmental contamination of Zn, Cd, Ni, Cu and Pb from industrial areas in Hamadan Province, western Iran. Environ Geol 55:1537–1543CrossRefGoogle Scholar
  14. Jung MC, Thornton I (1997) Environmental contamination and seasonal variation of metals in soils, plants and waters in the paddy fields around a Pb–Zn mine in Korea. Sci Total Environ 198:105–121CrossRefGoogle Scholar
  15. Kabala C, Sing BR (2001) Fractionation and mobility of copper, lead and zinc in soil profiles in the vicinity of a copper smelter. J Environ Qual 30:485–492CrossRefGoogle Scholar
  16. Kabata-Pendias A (1993) Behavioural properties of trace metals in soils. Appl Geochem 8(Suppl Issue 2):3–9CrossRefGoogle Scholar
  17. Kabata-Pendias A, Pendias H (2001) Trace elements in soils and plants, 3rd edn. CRC, Boca RatonGoogle Scholar
  18. Kashem MA, Singh BR (2001) Metal availability in contaminated soils: II. Uptake of Cd, Ni and Zn in rice plants grown under flooded culture with organic matter addition. Nutr Cycl Agroecosys 61:257–266CrossRefGoogle Scholar
  19. Kravchenko AN, Thelen KD, Bullock DG, Miller NR (2003) Relationship among crop grain yield, topography, and soil electrical conductivity studied with cross-correlograms. Agron J 95:1132–1139CrossRefGoogle Scholar
  20. Li PJ, Wang X, Allinson G, Li XJ, Xiong XZ (2009) Risk assessment of heavy metals in soil previously irrigated with industrial wastewater in Shenyang, China. J Hazard Mater 161:516–521CrossRefGoogle Scholar
  21. Liu HY, Probst A, Liao BH (2005) Metal contamination of soils and crops affected by the Chenzhou lead/zinc mine spill (Hunan, China). Sci Total Environ 339:153–166CrossRefGoogle Scholar
  22. Liu XM, Wu JJ, Xu JM (2006) Characterizing the risk assessment of heavy metals and sampling uncertainty analysis in paddy field by geostatistics and GIS. Environ Pollut 141:257–264CrossRefGoogle Scholar
  23. McLaughlin MJ, Parker DR, Clarke JM (1999) Metals and micronutrient-food safety issues. Field Crop Res 60:143–163CrossRefGoogle Scholar
  24. Ministry of Environmental Protection of China (1995) Environmental quality standard for soils. http://www.chinaep.net/hjbiaozhun/hjbz/hjbz017.htm (GB15618-1995)
  25. Ministry of Health of China (2005) Maximum level of contaminants in food. http://www.moh.gov.cn/moh/main?fid=open&fun=show_dbquery_pdf&nid=104 (GB2762-2005)
  26. Obrador A, Alvarez JM, Lopez-Valdivia LM, Gonzalez D, Novillo J, Rico MI (2007) Relationships of soil properties with Mn and Zn distribution in acidic soils and their uptake by a barley crop. Geoderma 137:432–443CrossRefGoogle Scholar
  27. Salomons W, Förstner U (1980) Trace metal analysis on polluted sediments. Part 2. Evaluation of environmental impact. Environ Technol Lett 1:506–517CrossRefGoogle Scholar
  28. Selim HM, Sparks DL (2001) Heavy metals release in soils. CRC, Boca RatonCrossRefGoogle Scholar
  29. Shi JC, Wang HZ, Xu JM, Wu JJ, Liu XM, Zhu HP, Yu CL (2007) Spatial distribution of heavy metals in soils: a case study of Changxing, China. Environ Geol 52:1–10CrossRefGoogle Scholar
  30. Stein A, Brouwer J, Bouma J (1997) Methods for comparing spatial variability patterns of millet yield and soil data. Soil Sci Soc Am J 61:861–870CrossRefGoogle Scholar
  31. Su DC, Wong JWC (2003) Chemical speciation and phytoavailability of Zn, Cu, Ni and Cd in soil amended with fly ash-stabilized sewage sludge. Environ Int 29:895–900CrossRefGoogle Scholar
  32. Tessier A, Campbell PGC, Bisson M (1979) Sequential extraction procedure for the speciation of particulate trace metals. Anal Chem 51:844–851CrossRefGoogle Scholar
  33. Tyler LD, McBride MB (1982) Mobility and extractability of Cd, Cu, Ni and Zn in organic and mineral soil columns. Soil Sci 143:198–295CrossRefGoogle Scholar
  34. Webster R, Oliver MA (2001) Geostatistics for environmental scientists. Wiley, ChichesterGoogle Scholar
  35. Wong SC, Li XD, Zhang G, Qi SH, Min YS (2002) Heavy metals in agricultural soils of the Pearl River Delta, South China. Environ Pollut 119:33–44CrossRefGoogle Scholar
  36. Yang QW, Lan CY, Shu WS (2008) Copper and zinc in a paddy field and their potential ecological impacts affected by waste water from a lead/zinc mine, P.R. China. Environ Monit Assess 147:65–73CrossRefGoogle Scholar
  37. Zhao KL, Zhang WW, Zhou L, Liu XM, Xu JM, Huang PM (2009) Modeling transfer of heavy metals in soil–rice system and their risk assessment in paddy fields. Environ Earth Sci 59:519–527CrossRefGoogle Scholar
  38. Zhao KL, Liu XM, Xu JM, Selim HM (2010) Heavy metal contaminations in a soil–rice system: identification of spatial dependence in relation to soil properties of paddy fields. J Hazard Mater 181:778–787CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  1. 1.Institute of Soil and Water Resources and Environmental ScienceZhejiang UniversityHangzhouPeople’s Republic of China
  2. 2.Zhejiang Agriculture and Forestry UniversityHangzhouPeople’s Republic of China
  3. 3.Department of Land ManagementZhejiang UniversityHangzhouPeople’s Republic of China
  4. 4.College of Life & Environmental SciencesHangzhou Normal UniversityHangzhouPeople’s Republic of China

Personalised recommendations