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Abstract

For the first time, variance partitioning was used to include data from a CoCA; although the current limits of such an approach are shown, this study illustrates the potential of such analyses and shows that soil chemistry and plant composition are, in substantial amounts, explaining different parts of the variation within the SMC. This marks an important step in furthering our understanding of the relative importance of different drivers of change in the SMC.

Keywords

Co-correspondence analysis; Ecosystem engineer; Succession; Moorland; TRFLP; PLFA; Variance partitioning

Published in

Plant and Soil
2012, volume: 351, number: 1-2, pages: 355-362
Publisher: SPRINGER

SLU Authors

UKÄ Subject classification

Soil Science

Publication identifier

  • DOI: https://doi.org/10.1007/s11104-011-0968-7

Permanent link to this page (URI)

https://res.slu.se/id/publ/43636