Author

F. Liechti

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1 Research Focus:software / tool· 1

Frequent Co-Authors

B. Schmid· 3 shared R. Nussbaumer· 3 shared S. Bauer· 3 shared G. Mariethoz· 2 shared L. Benoit· 2 shared A. Willener· 1 shared K. L. Dhanjal-Adams· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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3 shared papersEcology

B. Schmid

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4 papers

Recent·Most cited

pamlr: a toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic and light data in R

K. L. Dhanjal-Adams, A. Willener, F. Liechti

The paper introduces an R toolbox called pamlr for analyzing animal behavior using multisensor geolocator data and provides resources for its use.

bioRxiv · Aug 2, 2021Animal Behavior & Cognition

A simple method to separate birds and insects in single-pol weather radar data

R. Nussbaumer, B. Schmid, S. Bauer, F. Liechti

The paper introduces a method to separate bird and insect signals in weather radar data using a Gaussian-mixture model, enabling analysis of bird density and speed from existing radar archives.

bioRxiv · Mar 8, 2021Ecology

Quantifying year-round nocturnal bird migration with a fluid dynamics model

R. Nussbaumer, S. Bauer, L. Benoit, G. Mariethoz, F. Liechti, B. Schmid

This study quantifies nocturnal bird migration across Western Europe using a fluid dynamics model applied to radar data, revealing seasonal bird flow patterns and large-scale movement dynamics.

bioRxiv · Oct 13, 2020Ecology

A geostatistical approach to estimate high resolution nocturnal bird migration densities from a weather radar network.

R. Nussbaumer, L. Benoit, G. Mariethoz, F. Liechti, S. Bauer, B. Schmid

This paper estimates high-resolution nocturnal bird migration densities using a geostatistical model applied to weather radar data, finding 120 million birds in flight during autumn 2016.

bioRxiv · Jul 2, 2019Ecology