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Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores
Published on: March 26, 2019
Community-level consequences of mycorrhizae depend on phosphorus availability
Cathy D Collins1, Bryan L Foster
1University of Kansas, 1200 Sunnyside Avenue, Haworth Hall, Lawrence, Kansas 66045, USA. cathy.collins@wustl.edu
Ecology
|September 23, 2009
Summary
Arbuscular mycorrhizal fungi (AMF) impact grassland plant diversity. Soil nutrient levels, particularly phosphorus, determine if AMF increase or decrease diversity, affecting coexistence and community structure.
Area of Science:
- Ecology
- Plant Science
- Mycology
Background:
- Arbuscular mycorrhizal fungi (AMF) are crucial for plant diversity in grasslands.
- The effect of AMF on diversity depends on the mycotrophy of dominant versus subordinate plants.
- The role of soil nutrient levels in mediating AMF's influence on plant coexistence is not fully understood.
Purpose of the Study:
- To investigate how soil nutrient levels influence the ability of AMF to mediate plant species coexistence in grasslands.
- To develop a conceptual model predicting AMF's impact on diversity across a soil nutrient gradient.
- To test these predictions using experimental mesocosms with native prairie grasses.
Main Methods:
- Developed a conceptual model for AMF influence on diversity along a soil nutrient gradient.
- Manipulated phosphorus levels to create a soil nutrient gradient in mesocosms.
- Compared plant community properties (diversity, productivity, structure) with and without AMF.
Main Results:
- AMF increased plant diversity and productivity in phosphorus-limited conditions.
- AMF had minimal impact on aboveground communities at high phosphorus levels.
- Community composition differences were driven by a trade-off between C3 and C4 grass abundance.
Conclusions:
- Soil nutrient availability, specifically phosphorus, constrains the mutualistic relationship between AMF and plants.
- Environmental constraints on mutualisms significantly govern community and ecosystem properties.
- Understanding these interactions is key to predicting grassland ecosystem dynamics.
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