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Modelling built infrastructure heights to evaluate common assumptions in aquatic conservation.
Stephanie R Januchowski-Hartley1, Céline Jézéquel2, Pablo A Tedesco2
1Department of Biosciences, Swansea University, Swansea, SA2 8PP, UK; Laboratoire Evolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 route de Narbonne, Bat 4R1, 31062, Toulouse Cedex 9, France.
Accurate data on small built infrastructure is crucial for understanding river fragmentation. Statistical modeling of infrastructure height improves conservation by revealing how assumptions impact fish passage and habitat connectivity.
Area of Science:
- Environmental Science
- Ecology
- Hydrology
Background:
- Built infrastructure like dams and weirs significantly impact aquatic ecosystems.
- Limited data on small infrastructure hinders accurate assessment of river fragmentation and fish movement.
Purpose of the Study:
- To address data gaps on small built infrastructure (≤5m) in France.
- To evaluate the influence of common assumptions about infrastructure passability on river fragmentation estimates.
- To demonstrate the value of modelled infrastructure height data for conservation.
Main Methods:
- Employed a statistical modeling approach to estimate heights for small built infrastructure.
- Compared river fragmentation under three scenarios: impassable assumption, passable assumption, and modelled heights.
- Analyzed impacts on different fish species based on their passage abilities.
Main Results:
- Modelled heights doubled the number of small built infrastructure with known dimensions in France.
- Assumption-based scenarios significantly altered fragmentation estimates (e.g., 5-fold reduction or 7-fold increase).
- Modelled height data provided a more accurate understanding of river fragmentation compared to assumption-based approaches.
Conclusions:
- Accurate, modelled height data for built infrastructure is essential for effective river management and conservation.
- Understanding species-specific passage abilities is critical for assessing fragmentation.
- This approach is vital for regions undertaking infrastructure remediation or removal with data limitations.
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