Document details

Shifts in the structure of a mine contaminated soil (Pb, Cu, As) following diff...

Author(s): Cordovil, C. cv logo 1 ; Varennes, A. cv logo 2 ; Basanta, R. cv logo 3 ; Baath, E. cv logo 4 ; Diaz-Ravina, M. cv logo 5

Date: 2010

Persistent ID: http://hdl.handle.net/10400.5/2636

Origin: Repositório da UTL

Subject(s): contaminated soil; mine; organic treatments; inorganic treatments


Description
RAMIRAN International Conference Soil microbial community structure is increasingly being marketed as ecologically-relevant endpoint and it can realistically be incorporated for assessing the potential risks associated with anthropogenic disturbances and soil amendment strategies on sustainability of soil ecosystems. In Portugal, additional research is needed if technologies based on the combined action of plants and the microbial communities they support within the rhizosphere are to be adopted in large-scale remediation actions (Nabais et al., 2008). The information about this fact in mine soils is scarce and had focused on soil biochemical properties, producing no clear results. Furthermore, the effects of phytoremediation as soil remediation technique and metal contamination on microbial community structural would be achieved by PLFA studies. By phospholipid fatty acid analysis it is possible to examine broad scale patterns in microbial community structure (Bååth et al. 2005) and generally, after the application of multivariate statistical analyses, whole community fatty acids profiles indicate which communities are similar or different. Determination both microbial community composition and biomass size by this direct method gives results that very closely represent the in situ soil conditions and is currently used for soil monitoring purposes (Nielsen and Winding, 2002). The present investigation studies the medium-term response in the soil microbial community structure after the application of different remediation technologies including several organic and inorganic treatments.
Document Type Conference Object
Language English
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