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Simulating fish dispersal in stream networks fragmented by multiple road crossings

Author

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  • Perkin, Joshuah S.
  • Gido, Keith B.
  • Al-Ta’ani, Ola
  • Scoglio, Caterina

Abstract

Organisms inhabiting stream ecosystems are vulnerable to the effects of habitat fragmentation because of the inherent hierarchical structure of patches in riverscapes. Fragmentation caused by road-stream crossings contributes to alteration of stream organism distribution globally. We used principles of graph theory to develop three artificial riverscapes and test for network-scale changes in simulated fish dispersal caused by barriers that resembled the properties of road-stream crossings (semi-permeable; numerous within a network). Fish occupancy of nodes (habitat patches) declined in the presence of a single barrier when barrier permeability was <0.5, and fish with high dispersal experienced greater declines in occupancy compared to fish with low dispersal. Probability of extirpation (emigration without return) from fragments was greatest for nodes that mimicked headwater stream segments. We used a network-scale measure of habitat connectivity (the dendritic connectivity index; DCI) to measure changes in occupancy across all nodes and found the DCI predicted declines in occupancy as the number of barriers in the riverscape increased. Declines in occupancy were driven by threshold responses by fish to the occurrence of small fragments (≤3 nodes). Our simulations identified three important properties of stream fish dispersal that are likely relevant to natural systems: (i) species dispersal affinities determine response to fragmentation; (ii) fragments that are too “small” for organism persistence drive declines in riverscape occupancy; and (iii) measurements of structural (habitat) connectivity used to draw inference on functional (population) connectivity require knowledge of organism dispersal affinity and dispersal-mediated response to barrier positioning.

Suggested Citation

  • Perkin, Joshuah S. & Gido, Keith B. & Al-Ta’ani, Ola & Scoglio, Caterina, 2013. "Simulating fish dispersal in stream networks fragmented by multiple road crossings," Ecological Modelling, Elsevier, vol. 257(C), pages 44-56.
    • Handle: RePEc:eee:ecomod:v:257:y:2013:i:c:p:44-56
    DOI: 10.1016/j.ecolmodel.2013.02.021
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    References listed on IDEAS

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    1. Neeson, Thomas M. & Wiley, Michael J. & Adlerstein, Sara A. & Riolo, Rick L., 2011. "River network structure shapes interannual feedbacks between adult sea lamprey migration and larval habitation," Ecological Modelling, Elsevier, vol. 222(17), pages 3181-3192.
    2. Wai-Ki Ching & Michael K. Ng, 2006. "Markov Chains: Models, Algorithms and Applications," International Series in Operations Research and Management Science, Springer, number 978-0-387-29337-0, September.
    3. Padgham, Mark & Webb, J. Angus, 2010. "Multiple structural modifications to dendritic ecological networks produce simple responses," Ecological Modelling, Elsevier, vol. 221(21), pages 2537-2545.
    4. Neeson, Thomas M. & Wiley, Michael J. & Adlerstein, Sara A. & Riolo, Rick L., 2012. "How river network structure and habitat availability shape the spatial dynamics of larval sea lampreys," Ecological Modelling, Elsevier, vol. 226(C), pages 62-70.
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    2. Fitzpatrick, Kimberly B. & Neeson, Thomas M., 2018. "Aligning dam removals and road culvert upgrades boosts conservation return-on-investment," Ecological Modelling, Elsevier, vol. 368(C), pages 198-204.

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