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Measuring community shifts in a weed seedbank study with the use of distance-based redundancy analysis

Published online by Cambridge University Press:  20 January 2017

Chris Reberg-Horton ,
Eric R. Gallandt  and
Tom Molloy
Eric R. Gallandt
Affiliation:
Department of Plant, Soil, and Environmental Sciences, University of Maine, Orono, ME 04469-5722
Tom Molloy
Affiliation:
Department of Plant, Soil, and Environmental Sciences, University of Maine, Orono, ME 04469-5722
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Abstract

Distance-based redundancy analysis (db-RDA), a recently developed ordination technique useful for both multivariate hypothesis testing and data interpretation, was used to evaluate treatment effects on weed communities in a long-term study of alternative potato cropping systems. The experiment consisted of a factorial arrangement of three pest management systems, conventional (CON), reduced input (RI), and biointensive (BIO), two soil management systems (amended vs. unamended), and two crop-rotation entry points. Soil samples collected in the spring of 1998 were subjected to exhaustive germination as a means of characterizing the weed community. Using partial ordinations, each factor in the factorial treatment structure was tested separately, revealing a significant interaction between pest and soil management systems. An ordination diagram of the pest by soil management interaction was used to interpret the results. Weed species that were highly correlated with the first two ordination axes included: common lambsquarters, broadleaf plantain, oakleaf goosefoot, common hempnettle and a complex of the Brassicaceae that included wild mustard, birdsrape mustard, and wild radish. Univariate analyses confirmed the response of these species to the factors examined. The BIO pest management system showed a different response to soil amendments than the other systems. Soil amendments caused an increase in the total weed density in the CON and RI systems, but caused a decrease in the BIO system. Given the need for better multivariate hypothesis testing and data interpretation in many types of weed science research, the use of db-RDA is expected to grow.

Keywords

Birdsrape mustard, Brassica rapa L. BRARAbroadleaf plantain, Plantago major L. PLAMAcommon hempnettle, Galeopsis tetrahit L. GAETEcommon lambsquarters, Chenopodium album L. CHEALoakleaf goosefoot, Chenopodium glaucum L. CHEGLwild mustard, Brassica kaber (DC.) L. C. Wheeler BRAKAwild radish, Raphanus raphanistrum L. RAPRApotato, Solanum tuberosum L.Multivariate analysisordinationweed community
Type
Research Article
Information
Weed Science , Volume 54 , Issue 5 , October 2006 , pp. 861 - 866
Copyright
Copyright © Weed Science Society of America 

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