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An exploratory study on the use of enzyme activities as sediment tracers: biochemical fingerprints?
作者姓名:Kazem NOSRATI  Gerard GOVERS  Hassan AHMADI  Forood SHARIFI  Mohammad Ali AMOOZEGAR  Roel MERCKX  Matthias VANMAERCKE
作者单位:Department of Physical Geography,Faculty of Earth Sciences,Shahid Beheshti University;Division of Geography,Department of Earth and Environmental Sciences;Faculty ofNatural Resources,University of Tehran;Forest,Range and Watershed Management Organization;Faculty of Biology,College of Sciences,University of Tehran;Division of Soil and Water Management,Department of Earth and Environmental Sciences;Division of Geography,Department of Eaeth and Environmental Sciences
基金项目:the Forest,Range and Watershed Management Organization, Tehran,Iran for financial support
摘    要:Little information exists on the potential of soil enzyme activities,which are sensitive to soil properties and management,for the characterization of sediment sources at the catchment scale.The objective of this study is to explore and evaluate enzyme activity as tracer for sediment fingerprinting in the Hiv catchment(55 km~2),Iran.Therefore,four enzymes were measured from 42 different sampling sites,covering three sediment source areas(rangeland/surface erosion,orchard/surface erosion,and streambank erosion),as well as from 12 sediment samples from reservoir check dams (sediment sinks).The results indicate that,based upon backward mode discriminant analysis,βglucosidase and dehydrogenase,allowed more than 95%of the samples to be correctly assigned to their source areas.These enzymes were selected as input data for a mixing-model to determine the relative contribution of the sampled sediment sources.The mean contributions from rangeland, orchard and streambank sources in the study area were estimated as 11.3%,15.1%and 73.7%, respectively.Using geochemical tracers,the mean contribution from rangeland,orchard and streambank sources was estimated as 14.1%,9.5%and 74.8%,respectively.Combined biochemical and geochemical tracers,similar values were obtained(18.7%,10.7%and 70.7%,respectively).Our results indicate that soil enzyme activity allows for a good characterization of sediment sources,and can provide a complementary tool to currently existing sediment fingerprinting approaches.However, the method should be also tested in other regions.

关 键 词:Sediment  source  Enzyme  activity  Biochemical  fingerprints  Mixing  model  Hiv  catchment
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