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Mycorrhizas and mycorrhizal fungal communities throughout ecosystem development

Journal

PLANT AND SOIL
Volume 367, Issue 1-2, Pages 11-39

Publisher

SPRINGER
DOI: 10.1007/s11104-013-1609-0

Keywords

Ecosystem development; Mycorrhizal fungi community shifts; Nutrient cycling; Plant-soil feedbacks; Retrogression; Soil chronosequence; Succession

Funding

  1. Core funding for Crown Research Institutes from the New Zealand Ministry of Business, Innovation and Employment's Science and Innovation Group
  2. Marsden Fund of the Royal Society of New Zealand
  3. Marie Curie international outgoing fellowship from the European Commission [IOF-GA-2010-252446]
  4. Rutherford Discovery Fellowship

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Plant communities and underlying soils undergo substantial, coordinated shifts throughout ecosystem development. However, shifts in the composition and function of mycorrhizal fungi remain poorly understood, despite their role as a major interface between plants and soil. We synthesise evidence for shifts among mycorrhizal types (i.e., ectomycorrhizas, arbuscular and ericoid mycorrhizas) and in fungal communities within mycorrhizal types along long-term chronosequences that include retrogressive stages. These systems represent strong, predictable patterns of increasing, then declining soil fertility during ecosystem development, and are associated with coordinated changes in plant and fungal functional traits and ecological processes. Mycorrhizal types do not demonstrate consistent shifts through ecosystem development. Rather, most mycorrhizal types can dominate at any stage of ecosystem development, driven by biogeography (i.e., availability of mycorrhizal host species), plant community assembly, climate and other factors. In contrast to coordinated shifts in soil fertility, plant traits and ecological processes throughout ecosystem development, shifts in fungal communities within and among mycorrhizal types are weak or idiosyncratic. The consequences of these changes in mycorrhizal communities and their function for plant-soil feedbacks or control over long-term nutrient depletion remain poorly understood, but could be resolved through empirical analyses of long-term soil chronosequences.

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