Cited by 28Freshwater macroinvertebrate diversity and ecologyFish Ecology and Management StudiesHydrology and Watershed Management Studies

Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment

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Larsen, Stefano, Majone, Bruno, Zulian, Patrick, Stella, Elisa, Bellin, Alberto, Bruno, Maria Cristina, Zolezzi, Guido·2021·Water Resources Research

Published version of a preprint

Abstract

Flow regimes profoundly influence river organisms and ecosystem functions, but regulatory approaches often lack the scientific basis to support sustainable water allocation. In part, this reflects the challenge of understanding the ecological effects of flow variability over different temporal and spatial domains. Here, we use a process‐based distributed hydrological model to simulate 23 years of natural flow regime in 100 bioassessment sites across the Adige River network (NE Italy), and to identify typical nivo‐glacial, nivo‐pluvial, and pluvial reaches. We then applied spatial stream‐network models (SSN) to investigate the relationships between hydrologic and macroinvertebrate metrics while accounting for network spatial autocorrelation and local habitat conditions. Macroinvertebrate metrics correlated most strongly with summer, winter, and temporal variation in streamflow, but effects varied across flow regime types. For example (i) taxon richness appeared limited by high summer flows and high winter flows in nivo‐glacial and pluvial streams, respectively; (ii) invertebrate grazers increased proportionally with the annual coefficient of flow variation in nivo‐glacial streams but tended to decline with flow variation in pluvial streams. Although local land‐use and water quality also affected benthic communities, most variation in macroinvertebrate metrics was associated with spatial autocorrelation. These findings highlight the importance of developing environmental flow management policies in ways that reflect specific hydro‐ecological and land use contexts. Our analyses also illustrate the importance of spatially‐explicit approaches that account for auto‐correlation when quantifying flow‐ecology relationships.

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Authors
Larsen, S., Majone, B., Zulian, P., Stella, E., Bellin, A., Bruno, M. C., & Zolezzi, G.
Affiliations
  • Fondazione Edmund Mach (IT)
  • University of Trento (IT)
  • National Research Council (IT)
Corresponding author
Larsen, Stefano
Venue
Water Resources Research
Published
2021-04
Volume
57
Issue
4
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W3081392650
Cited by
28
References
96
Citations by year
2026: 5 · 2025: 6 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 5
FWCI
2.30
Type
journal article
Language
en
Open access
Locations
  • Water Resources Research (publishedVersion, cc-by)
  • Iris (University of Trento) (submittedVersion, cc-by)
  • CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • H2020 Marie Skłodowska-Curie Actions (748969)
  • Ministero dell’Istruzione, dell’Università e della Ricerca (L.232/2016)
  • Horizon 2020 Framework Programme (824158)
Topics
  • Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
  • Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
Keywords
flow regimes, flow-ecology relationships, environmental flows, macroinvertebrates, benthic communities, alpine catchments, Adige River, spatial autocorrelation, water allocation, distributed hydrological model, land use effects

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