Abstract
The between-community beta diversity of fish species—characterized using similarity of species between river basins, shows a non-linear drop with topological distance on river networks. In this work, we investigate the pattern of this drop with network distances and the role of underlying topology. Using the framework of optimal channel networks, the species abundances are evolved under the neutral biodiversity model. We observe that the steady-state species-similarity shows a transition at a critical network distance. At this critical distance, the average degree over the nodes crosses the global average degree of the network. This study sheds light on the role of branching in dendritic networks in ecological community assembly rules.
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Acknowledgements
This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany’s Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture, and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. A.R is supported by the research program of the Netherlands Organisation for Scientific Research (NWO).
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Tripathi, R., Reza, A., Calabrese, J.M. (2023). Role of Network Topology in Between-Community Beta Diversity on River Networks. In: Cherifi, H., Mantegna, R.N., Rocha, L.M., Cherifi, C., Micciche, S. (eds) Complex Networks and Their Applications XI. COMPLEX NETWORKS 2016 2022. Studies in Computational Intelligence, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-031-21131-7_49
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DOI: https://doi.org/10.1007/978-3-031-21131-7_49
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