Abstract
Arbuscular mycorrhizal (AM) fungi play a key role in determining ecosystem functionality. Understanding how diversity in the fungal community affects plant productivity is therefore an important question in ecology. Current research has focused on understanding the role of functional complementarity in the fungal community when the host plant faces multiple stress factors. Fewer studies, however, have investigated how variation in traits affecting nutrient exchange can impact the plant growth dynamics, even in the absence of environmental stressors. Combining experimental data and a mathematical model based on ordinary differential equations, we investigate the role played by carbon sink strength on plant productivity. We simulate and measure plant growth over time when the plant is associated with two fungal isolates with different carbon sink strength, and when the plant is in pairwise association with each of the isolates alone. Overall, our theoretical as well as our experimental results show that co-inoculation with fungi with different carbon sink strength can induce positive non-additive effects (or synergistic effects) in plant productivity. Fungi with high carbon sink strength are able to quickly establish a fungal community and increase the nutrient supply to the plant, with a consequent positive impact on plant growth rate. On the other side, fungi with low carbon sink strength inflict lower carbon costs to the host plant, and support maximal plant productivity once plant biomass is large. As AM fungi are widely used as organic fertilizers worldwide, our findings have important implications for restoration ecology and agricultural management.
Original language | English |
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Article number | 110859 |
Pages (from-to) | 1-9 |
Number of pages | 9 |
Journal | Journal of Theoretical Biology |
Volume | 531 |
Early online date | 10 Aug 2021 |
DOIs | |
Publication status | Published - 21 Dec 2021 |
Externally published | Yes |
Funding
RCT was funded by NSERC Discovery Grant RGPIN-2016–05277
Funders | Funder number |
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Natural Sciences and Engineering Research Council of Canada | RGPIN-2016–05277 |