Assessing how uncertainty and stochasticity affect the dispersal of fish in river networks
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DOI: 10.1016/j.ecolmodel.2017.05.029
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- Baetens, J.M. & Van Nieuland, S. & Pauwels, I.S. & De Baets, B. & Mouton, A.M. & Goethals, P.L.M., 2013. "An individual-based model for the migration of pike (Esox lucius) in the river Yser, Belgium," Ecological Modelling, Elsevier, vol. 258(C), pages 40-52.
- Pauly, D., 1989. "A simple index of metabolic level in fishes," Fishbyte, The WorldFish Center, vol. 7(1), pages 1-22.
- Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
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- Schwamborn, R. & Mildenberger, T.K. & Taylor, M.H., 2019. "Assessing sources of uncertainty in length-based estimates of body growth in populations of fishes and macroinvertebrates with bootstrapped ELEFAN," Ecological Modelling, Elsevier, vol. 393(C), pages 37-51.
- Schmidt, Heiko & Radinger, Johannes & Teschlade, Daniel & Stoll, Stefan, 2020. "The role of spatial units in modelling freshwater fish distributions: Comparing a subcatchment and river network approach using MaxEnt," Ecological Modelling, Elsevier, vol. 418(C).
- Soohong Kim & Kichul Jung & Hyeongsik Kang, 2022. "Response of Fish Community to Building Block Methodology Mimicking Natural Flow Regime Patterns in Nakdong River in South Korea," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
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Keywords
Aleatory uncertainty; Epistemic uncertainty; Latin hypercube sampling; River fish dispersal; Sensitivity analysis; Spatial habitat heterogeneity;All these keywords.
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