4.6 Article

Assessment of Heavy Metal Bioavailability in Contaminated Soils from a Former Mining Area (La Union, Spain) Using a Rhizospheric Test

Journal

WATER AIR AND SOIL POLLUTION
Volume 217, Issue 1-4, Pages 333-346

Publisher

SPRINGER INT PUBL AG
DOI: 10.1007/s11270-010-0591-x

Keywords

Heavy metal; Mobility; Plant uptake; Lolium multiflorum; CaCl2-selective extraction; Biotest

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A rhizospheric biotest, consisting of a thin layer of substratum in close contact with roots of Lolium multiflorum, was used on two contrasting contaminated soils (Cabezo and Brunita) issued from a former mining area in La Union (Spain). On top of this biotest, soil characterisation, including CaCl2 selective extractions, was performed. Total heavy metal concentrations were the highest in the soil from Cabezo, but CaCl2 extractions indicated higher heavy metal mobilities in Brunita soil. On the base of heavy metal concentrations and biomass production in L. multiflorum seedlings, availability assessed by the rhizospheric biotest was higher than the values obtained from CaCl2 extraction, except for Mn and Pb. Rhizospheric biotest also revealed higher heavy metal bioavailability for Cabezo. The low pH of Brunita (3.47) could explain the high CaCl2-extractable heavy metal concentrations as well as the high transfer factor found for Cu, Mn and Zn in this substrate. Cu, Mn and Zn toxicities were also detected for shoot tissues. Transpiration rates were clearly lower for seedlings exposed to Brunita than for those exposed to Cabezo, while water use efficiency was higher for the former (4.8 mg DW ml(-1)) than for the latter (3.8 mg DW ml(-1)). Iron nutrition was found to interfere with heavy metal root absorption, mainly through negative interactions during root absorption. It is concluded that rhizospheric test offers the advantage to consider the root-soil interactions in a dynamic perspective and constitutes a useful tool for the assessment of heavy metal availability on contaminated soils. Heavy metal bioavailability assessment should not be based on only one measure alone, but on different and complementary approaches.

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