Plant and Soil

, Volume 286, Issue 1–2, pp 269–285 | Cite as

The Complementarity of Extractable and Ester-Bound Lipids in a Soil Profile Under Pine

  • Klaas G. J. Nierop
  • Boris Jansen
  • Jos A. Hageman
  • Jacobus M. Verstraten
Original paper


Extractable and solvent insoluble, ester-bound lipids were analysed in an acid, sandy soil profile under Corsican pine. The n-alkanes and alkanoic acids from the soil profile showed rather poor correlations with those from the pine needles and roots, while the n-alkanol composition in the mineral horizons strongly indicated the presence of lipids derived from a previous grass vegetation. Although the ester-bound lipids (ω-hydroxyalkanoic acids and α,ω-alkanedioic acids (>C24)) suggested that plant sources other than pines were present in the mineral soil horizons their composition was less contaminated and a clear distinction between needle and root input could be discerned. The divergent clustering of soil horizons and plant materials by individual and combined compound classes emphasized the usefulness of both extractable lipids and cutin/suberin in unravelling (past) vegetation and tissue history and contributions to soil organic matter.


Clustering Cutin Extractable lipids Pine Soil organic matter Suberin 


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We thank Frans van der Wielen for his assistance with the GC/MS analyses and Leo Hoitinga for his support in the lab. This study was (in part) supported by the Earth and Life Science and Research Council (ALW) (KGJN) and the Netherlands Foundation for the Advancement of Tropical Research (WOTRO) (BJ) with financial aid from the Netherlands Organisation for Scientific Research (NWO).


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Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  • Klaas G. J. Nierop
    • 1
  • Boris Jansen
    • 1
  • Jos A. Hageman
    • 2
  • Jacobus M. Verstraten
    • 1
  1. 1.Institute for Biodiversity and Ecosystem Dynamics (IBED) - Earth Surface Processes and Materials (ESPM)Universiteit van AmsterdamAmsterdamThe Netherlands
  2. 2.Swammerdam Institute for Life Sciences (SILS) - Biosystems Data AnalysisUniversiteit van AmsterdamAmsterdamThe Netherlands

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