Hierarchical classification of environmental factors and agricultural practices affecting soil fauna under cropping systems using Bt maize

The population dynamics of soil organisms under agricultural field conditions are influenced by many factors, such as pedology and climate, but also farming practices such as crop type, tillage and the use of pesticides. To assess the real effects of farming practices on soil organisms it is necessary to rank the influence of all of these parameters. Bt maize (Zea mays L.), as a crop recently introduced into farming practices, is a genetically modified maize with the Cry1Ab gene which produces a protein toxic to specific lepidopteran insect pests. To assess the effects of Bt maize on non-target soil organisms, we conducted research at a field site in Foulum (Denmark) with a loamy sand soil containing 6.4% organic matter. The study focused on populations of springtails (Collembola) and earthworms (Oligochaeta) from samples taken at the beginning and at the end of the maize crop-growing season during 2 consecutive years. Farming practices, soil parameters, the biological structure of soil communities, and the type and age of the crop at the time of sampling, were used as attributes to predict the total abundance of springtails and biomass of earthworms in general and the abundance or biomass for specific functional groups (epigeic, endogeic and anecic groups for earthworms, and eu-, eu to hemi-, hemi-, hemi to epi- and epiedaphic groups for Collembola). Predictive models were built with data mining tools, such as regression trees that predict the value of a dependent variable from a set of independent variables. Regression trees were constructed with the data mining system M5′. The models were evaluated by qualitative and quantitative measures of performance and two models were selected for further interpretation: anecic worms and hemi-epiedaphic Collembola. The anecic worms (r2=0.83) showed preferences for less clay and more silt soil with medium pH but were not influenced directly by farming practices. The biomass of earthworms was greater in early autumn than in spring or late autumn. Biomass of hemi-epiedaphic Collembola (r2=0.59) increased at the end of the maize growing season, while higher organic matter content and pH tended to increase their biomass in spring. Greater abundance of Collembola was also noted in early autumn if the crop was non-Bt maize. The models assessed by this research did not find any effects of the Bt maize cropping system on functional groups of soil fauna.

[1]  A. Macfadyen Soil organisms as components of ecosystems: Lohm, U. and Persson, T. (Editors), Proc. VI. International Soil Zoology Colloquium, Uppsala, June 1976. Ecological Bulletins Vol. 25, 614 pp. 1977. Price: 140 SwCr (ca. [pound sign]20[middle dot]00 incl. air mail postage) , 1980 .

[2]  A. Bouwman,et al.  Biomass, composition and temporal dynamics of soil organisms of a silt loam soil under conventional and integrated management. , 1990 .

[3]  W. Nentwig,et al.  Decomposition of transgenic Bacillus thuringiensis maize by microorganisms and woodlice Porcellio scaber (Crustacea: Isopoda). , 2000 .

[4]  T. Dekkers,et al.  Soil Collembola and Acari related to farming systems and crop rotations in organic farming. , 1994 .

[5]  G. Stotzky,et al.  Bt corn has a higher lignin content than non-Bt corn. , 2001, American journal of botany.

[6]  A. Hilbeck,et al.  Effects of transgenic Bt corn litter on the earthworm Lumbricus terrestris , 2003, Molecular ecology.

[7]  Paul Henning Krogh,et al.  Can Bacillus thuringiensis (Bt) corn residues and Bt-corn plants affect life-history traits in the earthworm Aporrectodea caliginosa? , 2006 .

[8]  J. Cortet,et al.  Influence of four soil maintenance practices on Collembola communities in a Mediterranean vineyard , 2004 .

[9]  M. Bohanec,et al.  Evaluation of effects of transgenic Bt maize on microarthropods in a European multi-site experiment , 2007 .

[10]  N. Crickmore,et al.  Bacillus thuringiensis and Its Pesticidal Crystal Proteins , 1998, Microbiology and Molecular Biology Reviews.

[11]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[12]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[13]  S. Salmon Earthworm excreta (mucus and urine) affect the distribution of springtails in forest soils , 2001, Biology and Fertility of Soils.

[14]  Sašo Džeroski,et al.  Applications of symbolic machine learning to ecological modelling , 2001 .

[15]  B. Griffiths,et al.  Decomposition processes under Bt ( Bacillus thuringiensis ) maize: Results of a multi-site experiment , 2006 .

[16]  P. Lavelle,et al.  A Hierarchical Model for Decomposition in Terrestrial Ecosystems: Application to Soils of the Humid Tropics , 1993 .

[17]  M. Bouché,et al.  Lombriciens de France--ecologie et systematique , 1973 .

[18]  S. Džeroski,et al.  Using multi-objective classification to model communities of soil microarthropods , 2006 .

[19]  R. R. Bruce,et al.  Abundance and distribution of earthworms in relation to landscape factors on the Georgia Piedmont, U.S.A. , 1992 .

[20]  C. N. Lowe,et al.  Culture techniques for soil dwelling earthworms: A review , 2005 .

[21]  Sašo Džeroski,et al.  Modeling the brown bear population in Slovenia: A tool in the conservation management of a threatened species , 2003 .

[22]  J. Ross Quinlan,et al.  Learning logical definitions from relations , 1990, Machine Learning.

[23]  C. Qualset,et al.  Biodiversity in agroecosystems , 1998 .

[24]  Ivan Bratko,et al.  Modelling the population dynamics of red deer (Cervus elaphus L.) with regard to forest development , 1998 .

[25]  S. Caul,et al.  Agricultural studies of GM maize and the field experimental infrastructure of ECOGEN , 2007 .

[26]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.

[27]  Saso Dzeroski,et al.  Using Data Mining to Assess the Effects of Bt Baize on Soil Microarthropods , 2005, EnviroInfo.

[28]  S. Ghabbour,et al.  Population Density and Biomass of Earthworms in Different Types of Egyptian Soils , 1965 .

[29]  G. Baker,et al.  Clay content of soil and its influence on the abundance of Aporrectodea trapezoides Dugès (Lumbricidae) , 1998 .

[30]  Ralf Wieland,et al.  Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristics , 2000 .

[31]  D. Neher,et al.  Diversity and Function of Soil Mesofauna , 1999 .

[32]  A. Titi,et al.  Soil fauna in sustainable agriculture: Results of an integrated farming system at Lautenbach, F.R.G. , 1989 .

[33]  B. Griffiths,et al.  A Comparison of Soil Microbial Community Structure, Protozoa and Nematodes in Field Plots of Conventional and Genetically Modified Maize Expressing the Bacillus thuringiens is CryIAb Toxin , 2005, Plant and Soil.

[34]  M. Bohanec,et al.  Responses by earthworms to reduced tillage in herbicide tolerant maize and Bt maize cropping systems , 2007 .

[35]  D. Andow,et al.  Science-Based Risk Assessment for Nontarget Effects of Transgenic Crops , 2004 .

[36]  D. Coleman,et al.  Impact of the rhizosphere on soil microarthropods in agroecosystems on the Georgia piedmont , 2001 .

[37]  J. R. Quinlan Learning With Continuous Classes , 1992 .

[38]  Ian H. Witten,et al.  Induction of model trees for predicting continuous classes , 1996 .

[39]  L. Brussaard,et al.  Soil microarthropods (Acari and Collembola) in two crop rotations on a heavy marine clay soil , 1988 .

[40]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[41]  S. Hopkin,et al.  Biology of the springtails (Insecta--Collembola) , 1997 .

[42]  J. Cortet,et al.  Impacts of different agricultural practices on the biodiversity of microarthropod communities in arable crop systems , 2002 .

[43]  U. Langer,et al.  Molecular composition of leaves and stems of genetically modified Bt and near-isogenic non-Bt maize--characterization of lignin patterns. , 2005, Journal of environmental quality.

[44]  S. Džeroski,et al.  Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification trees , 2001 .

[45]  D. Coleman,et al.  Detritus Food Webs in Conventional and No-tillage Agroecosystems , 1986 .