Multisource grassland evidence for plant functional traits in predicting soil biota biodiversity and functions

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Multisource grassland evidence shows that plant functional traits are powerful predictors of soil biota biodiversity and ecosystem functioning. By integrating field observations, trait databases, remote sensing, and experimental data across diverse grassland systems, studies reveal that traits such as specific leaf area, root depth, nutrient acquisition strategies, and litter quality strongly shape soil microbial and faunal communities. These plant traits influence the quantity and quality of carbon inputs, root exudation patterns, and microhabitat conditions, thereby regulating soil food web structure, microbial diversity, enzymatic activities, and nutrient cycling processes. The convergence of multiple data sources highlights consistent trait–biota–function linkages, emphasizing that plant functional composition, rather than species identity alone, governs belowground biodiversity and functions in grassland ecosystems under environmental change.

#GrasslandEcosystems #PlantFunctionalTraits #SoilBiodiversity #SoilBiota #EcosystemFunctions #BelowgroundEcology #PlantSoilInteractions #TraitBasedEcology #NutrientCycling #SoilMicrobes

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