Evaluating the Usefulness of the C-S-R Framework for Understanding AM Fungal Responses to Climate Change in Agroecosystems
Article
Article Title | Evaluating the Usefulness of the C-S-R Framework for Understanding AM Fungal Responses to Climate Change in Agroecosystems |
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ERA Journal ID | 3258 |
Article Category | Article |
Authors | Heuck, Meike Katharina, Powell, Jeff R., Kath, Jarrod, Birnbaum, Christina and Frew, Adam |
Journal Title | Global Change Biology |
Journal Citation | 30 (11) |
Article Number | e17566 |
Number of Pages | 15 |
Year | 2024 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 1354-1013 |
1365-2486 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/gcb.17566 |
Web Address (URL) | https://onlinelibrary.wiley.com/doi/10.1111/gcb.17566 |
Abstract | Arbuscular mycorrhizal (AM) fungi play a key role in terrestrial ecosystems by forming symbiotic relationships with plants and may confer benefits for sustainable agriculture, by reducing reliance on harmful fertiliser and pesticide inputs and enhancing plant resilience against insect herbivores. Despite their ecological importance, critical gaps in understanding AM fungal ecology limit predictions of their responses to global change in agroecosystems. However, predicting climate change impacts on AM fungi is important for maintaining crop productivity and ecosystem stability. Efforts to classify AM fungi based on functional traits, such as the competitor, stress-tolerator, ruderal (C-S-R) framework, aim to address these gaps but face challenges due to the obligate symbiotic nature of the fungi. As the framework is still widely used, we evaluate its applicability in predicting global change impacts on AM fungal communities in agroecosystems. Chagnon's adaptation of the C-S-R framework for AM fungi aligns with some study outcomes (e.g., under the context of water limitation) but faces challenges when used in complex climate change scenarios, varying agricultural conditions and/or extreme climatic conditions. The reliance on a limited dataset to classify AM fungal families further limits accurate predictions of AM fungal community dynamics. Trait data collection could support a nuanced understanding of AM fungi and leveraging AM fungal databases could streamline data management and analysis, enhancing efforts to clarify AM fungal responses to environmental change and guide ecosystem management practices. Thus, while the C-S-R framework holds promise, it requires additional AM fungal trait data for validation and improvement of its predictive power. Conclusively, before designing experiments based on life-history strategies and developing new frameworks tailored to AM fungi a critical first step is to gain a comprehensive understanding of their traits. |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 410102. Ecological impacts of climate change and ecological adaptation |
310703. Microbial ecology | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions, but may be accessed online. Please see the link in the URL field. |
Byline Affiliations | Western Sydney University |
School of Agriculture and Environmental Science | |
Centre for Sustainable Agricultural Systems | |
Centre for Crop Health |
https://research.usq.edu.au/item/zv1z0/evaluating-the-usefulness-of-the-c-s-r-framework-for-understanding-am-fungal-responses-to-climate-change-in-agroecosystems
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