The study investigates the impact of plant morphology on bedload sediment transport in aquatic environments. Key findings include: 1. **Plant Morphology Influence**: The morphology of plants, particularly their frontal area, significantly affects near-bed velocity, turbulent kinetic energy (TKE), and bedload transport rate within emergent canopies. 2. **New Model Development**: A new model has been developed to account for plant morphology, which improves predictions of near-bed velocity, TKE, and bedload transport. 3. **Parameter Definition**: A plant morphology coefficient, β, was defined to quantify the vertical variation in frontal area, which influences near-bed velocity and TKE. 4. **Experimental Validation**: Laboratory experiments using model plants with real plant morphology (Phragmites australis, Acorus calamus, and Typha latifolia) confirmed the effectiveness of the new model in predicting these parameters. 5. **Transport Rate Impact**: The study found that plant morphology can alter transport rates by up to an order of magnitude compared to uniform morphology assumptions. 6. **Implications for Modeling**: The findings highlight the importance of considering plant morphology in models predicting sediment transport in vegetated regions, which is crucial for managing and restoring ecosystems like rivers, marshes, and deltas. The study provides a method to quantify and incorporate the impact of plant morphology on flow and sediment transport, offering valuable insights for ecological and engineering applications.The study investigates the impact of plant morphology on bedload sediment transport in aquatic environments. Key findings include: 1. **Plant Morphology Influence**: The morphology of plants, particularly their frontal area, significantly affects near-bed velocity, turbulent kinetic energy (TKE), and bedload transport rate within emergent canopies. 2. **New Model Development**: A new model has been developed to account for plant morphology, which improves predictions of near-bed velocity, TKE, and bedload transport. 3. **Parameter Definition**: A plant morphology coefficient, β, was defined to quantify the vertical variation in frontal area, which influences near-bed velocity and TKE. 4. **Experimental Validation**: Laboratory experiments using model plants with real plant morphology (Phragmites australis, Acorus calamus, and Typha latifolia) confirmed the effectiveness of the new model in predicting these parameters. 5. **Transport Rate Impact**: The study found that plant morphology can alter transport rates by up to an order of magnitude compared to uniform morphology assumptions. 6. **Implications for Modeling**: The findings highlight the importance of considering plant morphology in models predicting sediment transport in vegetated regions, which is crucial for managing and restoring ecosystems like rivers, marshes, and deltas. The study provides a method to quantify and incorporate the impact of plant morphology on flow and sediment transport, offering valuable insights for ecological and engineering applications.