Laboratory of ecohydrology ECHO

The focus of the laboratory ECHO (short for ECoHydrOlogy) is the understanding and modelling of the function of river networks as ecological corridors for the migration of species and diseases. ECHO’s research blends laboratory and field work with theoretical modelling to develop an integrated ecohydrological framework to understand for instance the spatial ecology of species, biodiversity in river basins, population dynamics, biological invasions along waterways, and the spread of waterborne and water related diseases.

Andrea Rinaldo. © 2020 EPFL

A model for keeping the pandemic in check in Italy

Research

A team of researchers has been modeling the potential spread of the coronavirus pandemic in Italy. Using their model, they can calculate the number of exposed and highly infectious individuals and the daily isolation efforts required to bring down the epidemic curve.

© 2020 Ecopotential / Antonello Provenzale

The health of ecosystems based on the ground beetle

EPFL

EPFL scientists just published an open tool for predicting the dynamics of ground beetle populations – important bioindicators for sustainable park management and for monitoring ecosystems – in Italy’s Gran Paradiso National Park. The tool incorporates satellite and other remote sensing data.

Parliament Square in Bern, Switzerland, 4 April 2020 © iStock

Switzerland's lockdown has sharply reduced the cases of COVID-19

Research

EPFL researchers have modeled the effects of measures taken in the country to slow the spread of coronavirus. According to their estimates, the contamination rate has fallen by between 53% and 92%, depending on the canton, and people’s movements have been reduced by 30% to 80%.

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Journal papers

Spatially Explicit Linkages Between Redox Potential Cycles and Soil Moisture Fluctuations

F. Miele; P. Benettin; S. Wang; I. Retti; M. Asadollahi et al. 

Water Resources Research. 2023-02-16. Vol. 59, num. 3, p. 1-23. DOI : 10.1029/2022WR032328.

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Ignacio Rodríguez-Iturbe (1942–2022): A review of a pathbreaking academic career combining chance and self-organization

A. Rinaldo; S. A. Levin 

Proceedings of the US National Academy of Sciences. 2022-11-30. Vol. 119, num. 49. DOI : 10.1073/pnas.2217606119.

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Transit Time Estimation in Catchments: Recent Developments and Future Directions

P. Benettin; N. B. Rodriguez; M. Sprenger; M. Kim; J. Klaus et al. 

Water Resources Research. 2022-11-01. Vol. 58, num. 11, p. e2022WR033096. DOI : 10.1029/2022WR033096.

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Seeing the forest for the trees through metabolic scaling

I. Volkov; A. Tovo; T. Anfodillo; A. Rinaldo; A. Maritan et al. 

PNAS Nexus. 2022-07-13. Vol. 1, num. 1, p. 1-8. DOI : 10.1093/pnasnexus/pgac008.

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Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study

A. Rinaldo; J. C. Lemaitre; D. Pasetto; M. Zanon; E. Bertuzzo et al. 

PLOS Computational Biology. 2022-07-08. DOI : 10.1371/journal.pcbi.1010237.

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The intrusion of ecology into hydrology and morphodynamics

R. Bassi; A. Rinaldo; G. Seminara 

Rendiconti Lincei-Scienze Fisiche E Naturali. 2022-05-10. DOI : 10.1007/s12210-022-01072-x.

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Ecohydrology 2.0

A. Rinaldo; I. Rodriguez-Iturbe 

Rendiconti Lincei-Scienze Fisiche E Naturali. 2022-05-04. DOI : 10.1007/s12210-022-01071-y.

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Phloem water isotopically different to xylem water: Potential causes and implications for ecohydrological tracing

M. F. Nehemy; P. Benettin; S. T. Allen; K. Steppe; A. Rinaldo et al. 

Ecohydrology. 2022-03-25.  p. e2417. DOI : 10.1002/eco.2417.

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Epidemicity of cholera spread and the fate of infection control measures

C. Trevisin; J. C. Lemaitre; L. Mari; D. Pasetto; M. Gatto et al. 

Journal of The Royal Society Interface. 2022-03-09. Vol. 19, num. 188. DOI : 10.1098/rsif.2021.0844.

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Persistence of amphibian metapopulation occupancy in dynamic wetlandscapes

L. E. Bertassello; J. W. Jawitz; E. Bertuzzo; G. Botter; A. Rinaldo et al. 

Landscape Ecology. 2022-01-19. Vol. 37, p. 695–711. DOI : 10.1007/s10980-022-01400-4.

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