Research Article |
Corresponding author: Shasta Claire Henry ( sc.henry@utas.edu.au ) Academic editor: Philippe Jeanneret
© 2018 Shasta Claire Henry, Peter B. McQuillan, James B. Kirkpatrick.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Henry SC, McQuillan PB, Kirkpatrick JB (2018) An Alpine Malaise trap. Alpine Entomology 2: 51-58. https://doi.org/10.3897/alpento.2.24800
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The Southernmost region of Australia, the island of Tasmania, is also the most mountainous, with large areas of rugged alpine environments. This entomological frontier offers a distinct suite of insects for study including many endemic taxa. However, harsh weather, remote locations and rough terrain represent an environment too extreme for many existing insect trap designs. We report here on the design and efficacy of a new Alpine Malaise Trap (AMT), which can be readily hybridised with several other common insect trapping techniques. Advantages of the design include its light weight and portability, low cost, robustness, rapid deployment and long autonomous sampling period. The AMT was field tested in the Tasmanian highlands (AUST) in 2017. A total of 16 orders were collected. As expected, samples are dominated by Diptera. However, the trap also collected a range of flightless taxa including endemic and apterous species, Apteropanorpa tasmanica – closest relative of the boreal, snow scorpionflies (Boreidae). Combined and compared with other trap types the Alpine Malaise Traps captured less specimens but of a greater diversity than passive sticky traps, while drop traps captured less specimens but a greater diversity than AMT. The statistical potential of the catch is discussed.
Long term, flight intercept, sampling, invertebrate, Tasmania, Apteropanorpa
Most work on insect biodiversity ultimately relies on sampling populations in nature. The nature of the Tasmanian alpine environments is harsh. The Southernmost region of Australia, the island of Tasmania, is also the most mountainous with large areas of rugged alpine environments (Fig.
Tasmania, Australia. Elevation Above Sea Level by https://maps.thelist.tas.gov.au/
A century ago René
With such large collection faces, the collection chambers fill quickly. Rather than long term autonomous deployment, traps usually have to be emptied daily (
Ethanol is a widely available and relatively harmless preservative now favoured for Malaise traps. However, evaporation puts a limitation on deployment time and any liquid component adds up to an intolerable weight when replication of samples is desired from a remote location (
Combining trapping methods expands sampling parameters and improves catch (
Intercept devices for sampling airborne insects in alpine habitats need to be: light weight, for on foot transportation to remote sites; robust against extremes of weather, especially high winds, ice and strong UV-B radiation; have long term capture capacity, while maintaining specimen quality at 'identification' standard; and collect effectively enough to generate at least semi-quantitative data useful for comparative purposes across a range of invertebrate orders. In the present paper, we assess the effectiveness in the alpine environment of a novel intercept trap that has these attributes, the Alpine Malaise Trap (AMT). We compare the catch of the AMT to those of both sticky traps and drop traps.
The Alpine Malaise Trap design (Fig.
A hinged, rubber plastic Compact Disk (CD) case, with one inner face coated with Tanglefoot (after Bar-Ness 2012), mounted on the bamboo stake of the AMT acts as a passive flight intercept trap (Fig.
A second catchment array can be utilised as a drop trap (DT, Fig.
Alpine Malaise Traps with sticky CD traps (n=35) were trialled from March–December 2017 on Tarn Shelf in Mount Field National Park, Tasmania, 42.6692°S 146.5603°E (1225 m a.s.l.). Alpine Malaise Traps with drop traps (n=4) were trialled from May–December 2017 on the summit of kunanyi/Mount Wellington (Cabinent 2013), Tasmania, 42.8967°S 147.2348°E (1255m a.s.l.). Samples were collected and traps refreshed six weekly.
At the end of the trial, sampled specimens were left in situ on sticky surfaces, identified to the lowest taxonomic resolution possible and counted by trap. Insect orders were classified by size, for example: Hemiptera, psyllids and thrips – small, Lygaeidae and cicadas – large; Coleoptera, Cantharidae and Mordellidae – small, Chrysomelidae Paropsis and ScarabaeidaeMelolonthinae – large; Diptera, Simuliidae – small, Tachinidae – large.
t-Test (two sample assuming equal variances) were performed in Microsoft Excel to compare the total catch of each trap type. Mann-Whitney U tests were performed in R (
Our traps were demonstrably robust to the weather conditions prevailing in the Tasmanian highlands. Wind speeds on kunanyi/Mount Wellington (no wind data for Mount Field) during the sampling period could exceed 100 kph and minimum temperatures were below 0 °C for extended periods (
Smaller collecting faces meant that the traps filled up slowly. After 6 weeks deployment in summer there remained space on the sample sheets and freshly caught insects were observed at the time of collection, indicating that the traps were still active and had not reached capacity. Despite undergoing long exposure, sometimes including repeated freeze-thaw cycles, the specimens were predominantly in identifiable condition (Fig.
At Mt Field 16 orders of invertebrates were sampled, 15 by AMT and 16 by CD (Table
Catch statistics, Mean (Total), of hybrid Alpine Malaise and Sticky CD Traps, n=35, deployed for 6 weeks, March-April, on Tarn Shelf, Mount Field National Park, Tasmania.
CD | AMT | p | |||
Orders | 7.16 | (16) | 8.18 | (15) | 0.03 |
Specimens | 239 | (7155) | 179 | (5716) | 0.008** |
Araneae | 0.56 | (17) | 0.59 | (19) | 0.95 |
Blattodea | 0.7 | (21) | 1.18 | (38) | 0.13 |
Coleoptera | 2.76 | (83) | 2.09 | (67) | 0.09 |
Collembola | 0.33 | (10) | 0.84 | (27) | 0.02* |
Diptera | 212 | (6380) | 138 | (4444) | 0.002** |
Ephemeroptera | 0.1 | (3) | 0 | (0) | 0.14 |
Hemiptera | 1.2 | (36) | 1.9 | (61) | 0.03* |
Hymenoptera | 14.9 | (449) | 12.4 | (398) | 0.44 |
Lepidoptera | 2 | (60) | 7.7 | (247) | <0.001*** |
Mecoptera | 0.23 | (7) | 1.09 | (35) | 0.008** |
Neuroptera | 0.03 | (1) | 0.03 | (1) | 1 |
Orthoptera | 0.36 | (11) | 2.59 | (83) | <0.001*** |
Plecoptera | 0.03 | (1) | 0.12 | (4) | 0.23 |
Psocoptera | 0.16 | (5) | 0.06 | (2) | 0.29 |
Thysanoptera | 2.1 | (63) | 8.8 | (282) | 0.04* |
Trichoptera | 0.26 | (8) | 0.25 | (8) | 0.82 |
At kunanyi/Mount Wellington 11 orders of invertebrates were sampled. Orders per trap ranged from 8–9 in AMT and 8–11 in DT (Table
Catch statistics, Mean (Total), of hybrid Alpine Malaise and Drop Traps (n=4) deployed for 6 weeks (Oct-Dec) on kunanyi/Mount Wellington, Tasmania. * indicate significant p values, <0.05, of t-Test and Wilcoxon rank-sum test. Right hand columns indicate the percent of total catch in the large body size category.
ORDER | AMT | DT | p | %Large | |||
AMT | DT | ||||||
Orders | 8.5 | (9) | 9 | (11) | 0.53 | ||
Specimens | 567 | (2268) | 323 | (1999) | 0.05* | 8.08 | 91.9 |
Araneae | 5 | (20) | 3.5 | (14) | 0.58 | 0 | 7.1 |
Blattodea | 0.25 | (1) | 0.5 | (2) | 1 | 0 | 0 |
Coleoptera | 9 | (36) | 10.25 | (41) | 0.58 | 8.3 | 51.2 |
Collembola | 0.5 | (2) | 1.5 | (6) | 0.02* | 0 | 0 |
Diptera | 452 | (1809) | 215 | (862) | 0.12 | 0.1 | 4 |
Formicidae | 0.25 | (1) | 2.25 | (9) | 0.18 | 0 | 0 |
Hemiptera | 81 | (324) | 66 | (267) | 0.62 | 0 | 2.6 |
Hymenoptera | 4.5 | (18) | 5.75 | (23) | 0.62 | 0 | 34.7 |
Lepidoptera | 5 | (23) | 3.5 | (14) | 0.26 | 8.7 | 50 |
Myriapoda | 0 | (0) | 0.25 | (1) | 1 | 0 | 100 |
Orthoptera | 2 | (8) | 8 | (32) | 0.25 | 0 | 34.3 |
Psocoptera | 6.5 | (26) | 5.25 | (21) | 0.87 | 0 | 0 |
Apart from the usual profile of expected alate species, various flightless taxa were present in the samples including spiders, immature psocids, ants, immature grasshoppers, apterous microhymenoptera, brachypterous moths and flightless scorpionflies, Apteropanorpidae (
The AMT offers a number of advantages over existing designs, especially in relation to sampling in extreme habitats. Its lightness, inexpensiveness and the lack of a need to clear the trap on a daily or weekly basis, make it particularly suited to remote sampling sites (Table
Comparison of Alpine Malaise Trap with comparable products ^as priced by Australian Entomological Supplies.com or ^^
Type | Size (m) | Mass (kg) | $ AUS | Sample window | Visibility | Preservative |
AMT – Alpine Malaise Trap | 1 x 0.22 x 0.22 | 1 kg | $50 diy | 6 weeks | Low | adhesive |
Malaise Trap^ | 1.5 x 1.8 | 3 kg | $480–540 | 1–14 days | V High | ethanol |
Composite Insect Trap^^ | 1.5 x 0.9 | 4.5 kg | $100 diy | 1 day | High | ethanol |
Sea Land Air Malaise Trap^ | 1 m 3 | 3 kg | $400-600 | 1–14 days | High | ethanol |
Flies and wasps are attracted to white or yellow colours (classical Malaise traps are usually white). The transparency of our trap should partly eliminate this bias making for more representative samples. The use of transparent surfaces also allows our trap, when fitted with a drop capture array, to function like a classic window trap, capturing fliers strong enough to become unconscious upon impact with the panes (
Our catch is largely congruent with that of
The most notable captures of flightless taxa were the apterous alpine scorpionfly, genus Apteropanorpa, an endemic family of four species similar in appearance to Northern Hemisphere snow scorpionflies (Boreidae). It was first identified by Carpenter in 1940 and formerly presumed rare. Recent reviews identified the new species A. evansi, A. warra and A. hartzi; highlighting the potential for more discoveries (
Despite being considerably shorter than classic malaise traps, 30 cm high intercept faces fit precisely within the 'boundary layer – allowing independent insect flight' as hypothesised and tested by
Combining trapping methods is a proven way to counter the limitations of particular trap types and improve sample yield (e.g.
As the sticky CD traps alone would constitute a robust, cheaper and lighter alpine sampling technique, we were interested to compare the sampling strengths of each. While CD traps captured significantly more specimens overall this is obviously tied to the capture of nearly 2,000 more Diptera. Otherwise the traps are either comparably effective or the AMT captured significantly more specimens of a given order. The AMT did not catch as many taxa or specimen as CD traps, however it does deliver a more taxonomically balanced sample. The CD trap catches were dominated by Diptera and Hymenoptera. While still the top two orders sampled by AMT, dominance of Diptera and Hymenoptera was balanced by higher counts of other taxa. Similarly, samples from the small drop trap trial were both dominated by Diptera followed by Hemiptera. While drop traps captured significantly less specimens overall, a greater diversity of orders contributed to the total catch. As predicted by the literature, the drop capture array significantly increased the capture of beetles (
The success of the Alpine Malaise Trap is illustrated by our ability to deploy 34 replicates in rough terrain, 1.5 hours hike from vehicle access, with three people in 9 hours. The traps were able to operate continuously and autonomously for 6 weeks in summer, collecting 8,029 readily identifiable invertebrates (Basic AMT) and a further 7,155 from the hybrid CD attachment and 1,229 from hybrid drop capture array. Further, the traps were robust to extremes of wind, rain, snow and UVB. The invertebrate profile of samples is an intermediate of classic malaise and pitfall traps. The environmental sensitivity this conveys over standard malaise traps is being investigated further.
We thank Larissa Giddings, Julie Gryphon and Emalisa White for outstanding assistance in the field, the Tasmanian Parks and Wildlife Service for permit FA17335 to conduct research in Tasmanian Reserves and the cooperation of the Mount Field National Park staff.
Figure S1
Figure S2