4.4 Review

A systematic review of mechanistic models of riverine macrophyte growth

Journal

AQUATIC BOTANY
Volume 190, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.aquabot.2023.103724

Keywords

Rivers; River ecology; Numerical models; Photosynthesis; Temperature; Nutrients; Hydraulic flow

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Riverine macrophytes play crucial ecological roles in river ecosystems, but their growth models have received relatively limited attention compared to other aquatic or terrestrial plants. This systematic review reveals that current models often overlook important factors such as shading and the role of macrophytes in nutrient cycles. Future research should focus on exploring these factors and developing a conceptual framework to guide macrophyte growth modeling. Emphasizing modularity and accessibility is also important for improving efforts to model and manage riverine ecosystems.
Riverine macrophytes play diverse and foundational ecological roles, directly influencing ecosystem properties from local biodiversity to flows of water, energy, nutrients, and sediment, many of which in turn are central to river management. Numerical modeling is thus a crucial tool for understanding macrophyte and ecosystem responses to environmental, ecological, or management changes. However, riverine macrophytes have received relatively limited modeling attention compared to plants in many other aquatic or terrestrial systems. We conducted a systematic review of riverine macrophyte growth models, focusing on mechanisms of macrophyte growth, biomass loss, and feedback effects on river ecosystems. Processes such as light availability, thermal tolerance, nutrient limitation, and mortality were widely included in almost all models meeting the review criteria. However, models varied widely in their inclusion of processes such as shading, scour, and the roles of macrophytes in stream nutrient cycles. There has been relatively little consideration of factors such as dispersal, carbon sources, herbivory, burial, desiccation, and competition for space or nutrients, indicating directions for future modeling work. In light of this, we present a conceptual framework to help guide future macrophyte growth modelers through a thorough consideration of macrophytes' myriad interactions with their ecosystems. We also emphasize the importance of modularity and accessibility toward improving efforts to model, and in turn manage, riverine ecosystems.

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