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.

中文翻译：

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评估 CSR 框架对了解农业生态系统中 AM 真菌对气候变化的响应的有用性


丛枝菌根 （AM） 真菌通过与植物形成共生关系，在陆地生态系统中发挥着关键作用，并可能通过减少对有害肥料和杀虫剂输入的依赖以及增强植物对昆虫食草动物的抵抗力，为可持续农业带来好处。尽管它们在生态学上很重要，但在理解 AM 真菌生态学方面存在重大差距，这限制了对它们对农业生态系统全球变化的反应的预测。然而，预测气候变化对 AM 真菌的影响对于维持作物生产力和生态系统稳定非常重要。根据功能性状对 AM 真菌进行分类的努力，例如竞争者、压力容忍者、ruderal （CSR） 框架，旨在解决这些差距，但由于真菌的专性共生性质而面临挑战。由于该框架仍然被广泛使用，我们评估了其在预测全球变化对农业生态系统中增材制造真菌群落影响方面的适用性。Chagnon 对 AM 真菌的 CSR 框架的改编与一些研究结果一致（例如，在水限制的背景下），但在复杂的气候变化情景、不同的农业条件和/或极端气候条件下使用时面临挑战。依赖有限的数据集对 AM 真菌家族进行分类进一步限制了对 AM 真菌群落动态的准确预测。性状数据收集可以支持对 AM 真菌的细致入微的理解，利用 AM 真菌数据库可以简化数据管理和分析，加强阐明 AM 真菌对环境变化的反应并指导生态系统管理实践的努力。因此，虽然 C-S-R 框架前景广阔，但它需要额外的 AM 真菌性状数据来验证和提高其预测能力。 总之，在根据生活史策略设计实验并开发针对 AM 真菌的新框架之前，关键的第一步是全面了解它们的特性。