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Background

Use of Tags in Studying Bird Behavior

Pine Siskin with tag
Pine Siskin with tag — Ben Vernasco

Tags have long been used for studies of animal behavior; however, the past decade has seen a “golden age” for tagging of smaller birds with the emergence of tags with a variety of sensors. Sensors include light used for geolocation Bridge et al. 2013, Fudickar et al. 2012, accelerometers and barometers Liechti et al. 2018, Shipley et al. 2018, temperature McCafferty et al. 2015, and even GPS Lotek n.d..

For small birds, such as the pine siskin illustrated to the right, the tags are attached to subject animals with a lightweight harness made from elastic thread. The tag rides under the bird’s feathers on its back and the harness loops under the bird’s legs. Naef-Daenzer et al. 2005 Rappole & Tipton 1991

Many of the early studies utilizing sensing tags focused upon data from accelerometers which can be used to determine when animals are active and, to a degree, the type of their activity (e.g. flight). Bäckman et al. 2017, Brown et al. 2013, Collins et al. 2015. Accelerometers have led to some notable discoveries the extended aerial life of swifts. Hedenström et al. 2016, Liechti et al. 2013

Pressure sensors have been shown to have great utility in understanding the behavior of birds during migration. For example, Dhanjal-Adams et al. 2018 demonstrated that by comparing pressure measurements over time it is feasible to determine which animals from a given site migrate together, Liechti et al. 2018 demonstrated that one can reliably use pressure measurements to determine when animals are migrating, and Sjöberg et al. 2021 determined that small animals may fly above 5000 meters during migration.

The Problem

Kays et al. 2015

Tag mass is limited by the species being studied. The adjacent figure illustrates the distribution of mass for bird species. Kays et al. 2015 The data for this figure were drawn from sources such as Blackburn & Gaston 1994 and Dunning 2007. Among North American birds, 12% of species are \(20-30g\) and 27% of species are \(10-20g\).

While there are no fixed limits on allowable tag mass, previous studies have limited them to 3-5% of body mass (e.g. Kenward 2001) with 3-4% becoming a common restriction. With these tighter limits, animals in the range \(10-30g\) can only be studied with tags in the ranges of \(0.3-0.9g\) to \(0.4-1.2g\), respectively. There have been a number of studies that attempt to assess the impact of tag mass on animal survival and breeding (for example, Atema et al. 2016, Bell et al. 2017)

A large fraction of tag weight is dedicated to energy storage and a large portion of the design effort for a tag is dedicated to energy efficiency. The tags described in this website utilize rechargeable lithium manganese batteries. Three such batteries are presented in Table 1. Notice that the capacity of all three (at \(2.5V\)) is roughly \(225J/g\). This is similar to other rechargeable battery chemistries.

Table 1: Seiko MS Series Batteries Seiko Instruments 2021
Type Size (DxH) mm Mass (\(g\)) Capacity (\(mAh\)) Capacity (\(J\))
MS518SE 5.8x1.8 0.13 3.4 30.6
MS621FE 6.8x2.1 0.23 5.5 49.5
MS920SE 9.5x2.1 0.47 11 99

The BitTags described in this site range from \(0.45-0.85g\) with the three different batteries shown in Table 1.

At the scale of the tags we describe, energy harvesting is not currently practical. The additional weight of the energy harvesting components and energy conversion electronics would be significant.

This Project

We present an activity monitor, BitTag, that can continuously collect data for 4-12 months at \(0.5-0.8g\), depending upon battery choice, and which has been used to collect more than 200,000 hours of data in a variety of experiments.

The BitTag architecture provides a general platform to support the development and deployment of custom sub-\(g\) tags. This platform consists of a flexible tag architecture, software for both tags and host computers, and hardware to provide the host/tag interface necessary for preparing tags for “flight” and for accessing data “post-flight”.

We present designs for custom tags with a variety of sensors and a process for developing them that utilizes a purpose-built development platform with off-the-shelf sensor evaluation boards to enable both accurate energy and power measurements as well as supporting software development. The host/tag software architecture, built using Google protocol buffers, makes it straightforward to extend host and tag software to support new tags with backward compatibility.

The host hardware – to program, configure, and charge tags – is designed to support a variety of batteries and to enable new tags, with different physical outlines, to be supported simply by creating a new 3d-printed adapter.

Acknowledgement

This material is based upon work supported by the National Science Foundation Grant Number 1644717. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

References

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Bell, El Harouchi, Hewson & Burgess (2017). No short- or long-term effects of geolocator attachment detected in Pied Flycatchers Ficedula hypoleuca. Ibis, 159(4), 734-743. https://doi.org/10.1111/ibi.12493

Blackburn & Gaston (1994). The Distribution of Body Sizes of the World’s Bird Species. Oikos, 70(1), 127-127. https://doi.org/10.2307/3545707

Bridge, Kelly., Contina, MacCurdy, B et al. (2013). Advances in tracking small migratory birds: a technical review of light-level geolocation. Journal of Field Ornithology, 84(2), 121-137. https://doi.org/10.1111/jofo.12011

Brown, Kays, Wikelski, Wilson & Klimley (2013). Observing the unwatchable through acceleration logging of animal behavior. Animal Biotelemetry, 1(1), 20-20. https://doi.org/10.1186/2050-3385-1-20

Bäckman, Andersson, Alerstam, Pedersen, Sjöberg et al. (2017). Activity and migratory flights of individual free-flying songbirds throughout the annual cycle: method and first case study. Journal of Avian Biology, 48(2), 309-319. https://doi.org/10.1111/jav.01068

Collins, Green, Warwick-Evans, Dodd, Shaw et al. (2015). Interpreting behaviors from accelerometry: A method combining simplicity and objectivity. Ecology and Evolution, 5(20), 4642-4654. https://doi.org/10.1002/ece3.1660

Dhanjal-Adams, Bauer, Emmenegger, Hahn, Lisovski et al. (2018). Spatiotemporal Group Dynamics in a Long-Distance Migratory Bird. Current Biology, 28(17), 2824-2830.e3. https://doi.org/10.1016/j.cub.2018.06.054

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Hedenström, Norevik, Warfvinge, Andersson, Bäckman et al. (2016). Annual 10-Month Aerial Life Phase in the Common Swift Apus apus. Current Biology, 26(22), 3066-3070. https://doi.org/10.1016/j.cub.2016.09.014

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Liechti, Witvliet, Weber & Bächler (2013). First evidence of a 200-day non-stop flight in a bird. Nature Communications, 4(1), 2554-2554. https://doi.org/10.1038/ncomms3554

Liechti, Bauer, Dhanjal-Adams, Emmenegger, Zehtindjiev et al. (2018). Miniaturized multi-sensor loggers provide new insight into year-round flight behaviour of small trans-Sahara avian migrants. Movement Ecology, 6(1), 19-19. https://doi.org/10.1186/s40462-018-0137-1

Lotek (n.d.). PinPoint-GPS-store-on-board-loggers-Spec-Sheet.pdf. https://www.lotek.com/wp-content/uploads/2017/10/PinPoint-GPS-store-on-board-loggers-Spec-Sheet.pdf

McCafferty, Gallon & Nord (2015). Challenges of measuring body temperatures of free-ranging birds and mammals. Animal Biotelemetry, 3(1), 33-33. https://doi.org/10.1186/s40317-015-0075-2

Naef-Daenzer, Früh, Stalder, Wetli & Weise (2005). Miniaturization (0.2 g) and evaluation of attachment techniques of telemetry transmitters. Journal of Experimental Biology, 208(21), 4063-4068. https://doi.org/10.1242/jeb.01870

Rappole & Tipton (1991). New harness design for attachment of radio transmitters to small passerines. Journal of field ornithology, 62(3), 335-337.

Seiko Instruments (2021). Seiko Instruments Inc. Micro Energy Division. Seiko Instruments Inc. Micro Energy Division. http://www.sii.co.jp/en/

Shipley, Kapoor, Winkler & W (2018). An open-source sensor-logger for recording vertical movement in free-living organisms. Methods in Ecology and Evolution, 9(3), 465-471. https://doi.org/10.1111/2041-210X.12893

Sjöberg, Malmiga, Nord, Andersson, Bäckman et al. (2021). Extreme altitudes during diurnal flights in a nocturnal songbird migrant. Science, 372(6542), 646-648. https://doi.org/10.1126/science.abe7291