bioRxiv Science⌕ Search

Biology subjects

Liechti, F.

Publications and source records attributed to Liechti, F..

5 recordsLinked to original sources

A hidden biomass flow - 10,000 tons of insects fly over Switzerland

Flying insects are the most diverse and abundant group of animals using the airspace to travel and spread across regions. Through movements that can span multiple life stages and generations, aerial insect migrations shape the ecosystems where they emerge but also connect ecosystems across sometimes vast distances. Yet even basic data on the abundance of aerial insects is still scarce. Their small sizes and often high-altitude movements make it challenging to describe flyways or measure this transport of biomass within or between regions. We used a remote-sensing approach with vertical looking radars to quantify insect migration across Switzerland. Switzerland harbours complex terrain, with the Alps, Jura mountains, and pre-Alpine lowlands featuring starkly contrasting topography. At three locations within these three main habitats, we recorded a total of 6.6 million medium- to large-sized individual insects during the 8-month study period. Extrapolating this to the whole of Switzerland results in an estimated number of 21 billion insects. Adding the presumed additional proportion of small insects, this translates to a rough estimate of 10,000 tons of insect biomass across Switzerland per year. Our results show that insect migration remains substantial even in topographically complex landscapes and seems strikingly synchronized over a relatively wide area. Mountain passes in particular act as key conduits for insects traversing the Alps, with many crossings occurring at high altitudes and with air temperatures below 10 {degrees}C. Nevertheless, our study is only a first step unraveling insect movements across space and time and their large-scale synchronicity. Significance StatementInsect abundance is of great importance for most terrestrial food chains, including human agriculture. While ground-based studies have elucidated many relationships within trophic systems, very little is known about the effects of their large-scale movements through the airspace. We show how insect movements, dispersal and migration, are spatially and temporarily correlated across a wide area of complex terrain and provide a rough estimate of the insect biomass involved. Temperature is a crucial factor in the extent of activity; however, our results show that low temperatures (<10{degrees}C) do not prevent massive insect migrations when crossing mountain ranges. Our results demonstrate the large, coordinated flow of insect biomass across the landscape, which needs to be studied in much more detail to better understand the spread of pests and beneficial insects, their impact on local communities, and the transmission of diseases.

ecology↗

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

O_LILight-level geolocators have revolutionised the study of animal behaviour. However, lacking precision, they cannot be used to infer behaviour beyond large-scale movements. Recent technological developments have allowed the integration of barometers, magnetometers, accelerometers and thermometers into geolocator tags, offering new insights into the behaviour of species which were previously impossible to tag. C_LIO_LIHere, we introduce an R toolbox for identifying behavioural patterns from multisensor geolocator tags, with functions specifically designed for data visualisation, calibration, classification and error estimation. Some functions are also tailored for identifying specific behavioural patterns in birds (most common geolocators-tagged species), but are flexible for other applications. C_LIO_LIFinally, we highlight opportunities for applying this toolbox to other species beyond birds, the behaviours they might identify and their potential applications beyond behavioural analyses. C_LI Data archivingCurrently, the package is on github and will be submitted to CRAN after review. The supporting code (package manual) for this paper is also on https://kiranlda.github.io/PAMLrManual/index.html, but will later be hosted by the Swiss Ornithological Institute. Summarypamlr: a toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic and light data in R

animal behavior and cognition↗

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

Recent and archived data from weather radar networks are extensively used for quantification of continent-wide bird migration pattern. While discriminating birds from weather signals is well established, insect contamination is still a problem. We present a simple method combining two doppler radar products within a single Gaussian-mixture model to estimate the proportions of birds and insects within a single measurement, as well as the density and speed of birds and insects. The method can be applied to any existing archives of vertical bird profiles, such as the ENRAM repository (enram.eu) with no need to recalculate the huge amount of original polar volume data, which often are not available.

ecology↗

Modelling the flow of nocturnal bird migration with year-round European weather radar network

The movements of migratory birds constitute huge biomass flows that influence ecosystems and human economy, agriculture and health through the transport of energy, nutrients, seeds, and parasites. To better understand the influence on ecosystems and the corresponding services and disservices, we need to characterize and quantify the migratory movements at various spatial and temporal scales. Representing the flow of birds in the air as a fluid, we applied a flow model to interpolated maps of bird density and velocity retrieved from the European weather radar network, covering almost a full year. Using this model, we quantified how many birds take-off, fly, and land across Western Europe, (1) to track waves of bird migration between nights, (2) cumulate the number of bird on the ground and (3) quantify the seasonal flow into and out of the study area through several regional transects. Our results show that up to 188 million (M) birds take-off over a single night. Exemplarily, we tracked a migration wave in spring, in which birds crossed the study area in 4 days with nocturnal flights of approximately 300 km. Over the course of a season, we estimated that 494 million (M) birds entered through the southern transects and, at the same time, 251 M left in the northern transects, creating a surplus of 243 M birds within the study area. Similarly, in autumn, 544 M more birds departed than arrived: 314 M birds entered through the northern transects while 858 M left through the southern transects. Our study show-cases the potential of combining interdisciplinary data and methods to elucidate the dynamics of avian migration from nightly to seasonal and yearly time-scales and from regional to continental spatial scales.

ecology↗

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

O_LIQuantifying nocturnal bird migration at high resolution is essential for (1) understanding the phenology of migration and its drivers, (2) identifying critical spatio-temporal protection zones for migratory birds, and (3) assessing the risk of collision with man-made structures.\nC_LIO_LIWe propose a tailored geostatistical model to interpolate migration intensity monitored by a network of weather radars. The model is applied to data collected in autumn 2016 from 69 European weather radars. To cross-validate the model, we compared our results with independent measurements of two bird radars.\nC_LIO_LIOur model estimated bird densities at high resolution (0.2{degrees}latitude-longitude, 15min) and assessed the associated uncertainty. Within the area covered by the radar network, we estimated that around 120 million birds were simultaneously in flight [10-90 quantiles: 107-134]. Local estimations can be easily visualized and retrieved from a dedicated interactive website: birdmigrationmap.vogelwarte.ch.\nC_LIO_LIThis proof-of-concept study demonstrates that a network of weather radar is able to quantify bird migration at high resolution and accuracy. The model presented has the ability to monitor population of migratory birds at scales ranging from regional to continental in space and daily to yearly in time. Near-real-time estimation should soon be possible with an update of the infrastructure and processing software.\nC_LI

ecology↗