Application of multiple regression and neural network approaches for landscape-scale assessment of soil microbial biomass

Soil Biology and Biochemistry

Volumn 37, Issue 9, 2005, Pages 1577-1580

  Lentzsch, Peter ^a   Wieland, Ralf ^a   Wirth, Stephan ^a  

^a LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH ZALF   (Germany)

Author keywords

Neural network analysis; Regression model; Soil microbial biomass; Soil quality

Indexed keywords

ESTIMATION; MATHEMATICAL MODELS; MICROBIOLOGY; NEURAL NETWORKS; NITROGEN; REGRESSION ANALYSIS; SOILS; TEXTURES;

GERMAN LOWLAND; NITROGEN CONTENT; REGRESSION MODEL; SOIL MICROBIAL BIOMASS (SMB);

BIOMASS;

BIOMASS; SOIL MICROORGANISM; SOIL QUALITY;

EID: 20444466110     PISSN: 00380717     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.soilbio.2005.01.017     Document Type: Article

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