125 years of change: linking long term observations and network topology to reveal shifts in a coastal food web

A coastal tidal zone at low tide showing exposed mudflats and shallow tidal pools covered in green algae, with a rocky shoreline, sparse vegetation on the hillside above, and calm waters in the background under clear blue sky.
Image Credit: Photo by Travis Leery on Unsplash (SourceLicense)

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Ecological Modelling·2026-03-14·Peer-reviewed·View original paper ↗·Follow this topic (RSS)
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  • ✔ Peer-reviewed source
  • ✔ Published in indexed journal
  • ✔ No retraction or integrity flags

Key findings from this study

  • The study found that altered predator composition and non-native species introductions drove structural changes in connectance and predator-prey interactions over 125 years.
  • The researchers demonstrate that trophic structure, energy transfer efficiency, and structural robustness persisted despite substantial shifts in species composition and network connectivity.
  • The authors report that the metaweb modelling framework successfully balances data availability constraints with methodological validity for reconstructing historical food web organization.

Overview

The study reconstructed 125 years of temporal change in a coastal food web of the northern Wadden Sea by integrating historical and recent species composition data into a metaweb framework. Network topological analysis revealed structural shifts in predator-prey interactions and connectance while trophic composition and energy transfer efficiency remained constant. The approach demonstrates how long-term observational data illuminate ecosystem dynamics across extended temporal scales.

Methods and approach

Species composition data spanning 125 years were translated into network dimensions using metaweb modelling followed by topological network analysis. This framework enabled semi-quantitative reconstruction of food web structure while balancing constraints of data availability, consistency, and methodological validity. The integration of historical and contemporary datasets facilitated systematic assessment of compositional and structural changes.

Results

Structural changes manifested primarily through altered predator-prey interactions and modified network connectance, attributable to shifts in predator composition and proliferation of introduced non-native species. The coastal food web exhibited increased species richness coupled with reduced complexity over the 125-year period. Despite these compositional transformations, trophic composition, energy transfer efficiency, and structural robustness remained stable throughout the observation interval, indicating the food web developed toward its current state while maintaining fundamental functional characteristics.

Implications

The metaweb framework with topological analysis techniques proves effective for semi-quantitative assessment of food webs across long temporal scales, addressing the persistent trade-off between data constraints and methodological rigor. Reconstructing historical food web configurations enhances understanding of current ecosystem states and provides empirical foundation for forecasting future trajectories. Long-term observational approaches linking species composition to network structure enable identification of underlying mechanisms driving ecosystem-level changes.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.

Disclosure

  • Research title: 125 years of change: linking long term observations and network topology to reveal shifts in a coastal food web
  • Authors: Joel Habedank, Sabine Horn, Harald Ahnelt, Christian Buschbaum, Annika Cornelius, Peter Lemke, Jasmin Renz, Andreas M. Waser, Karen Helen Wiltshire
  • Institutions: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Natural History Museum Vienna, Senckenberg am Meer, Trinity College Dublin, University of Vienna
  • Publication date: 2026-03-14
  • DOI: https://doi.org/10.1016/j.ecolmodel.2026.111545
  • OpenAlex record: View
  • Image credit: Photo by Travis Leery on Unsplash (SourceLicense)
  • Disclosure: This post was generated by Claude (Anthropic). The original authors did not write or review this post.

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