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      Searching for nests of the invasive Asian hornet ( Vespa velutina) using radio-telemetry

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          Abstract

          Asian hornets ( Vespa velutina) are voracious predators of bees, and are the latest emerging threat to managed and wild pollinator populations in Europe. To prevent establishment or reduce the rate of spread of V. velutina, early detection and destruction of nests is considered the only option. Detection is difficult as their nests are well hidden and flying hornets are difficult to follow over long distances. We address this challenge by tracking individual V. velutina workers flying back to their nests using radio telemetry for the first time, finding five previously undiscovered nests, up to 1.33 km from hornet release points. Hornets can fly with 0.28 g tags if the tag:hornet ratio is less than 0.8. This method offers a step-change in options to tackle the spread of this invader, providing an efficient means of finding V. velutina nests in complex environments to manage this emerging threat to pollinators.

          Abstract

          Peter Kennedy et al. report on the successful tracking of Asian hornets, an invasive species in Europe that threatens bee populations. Their method enabled them to track individual hornets over long distances and follow them to locate five previously undiscovered nests in France and the Channel Islands.

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          Most cited references28

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          Biotelemetry: a mechanistic approach to ecology.

          Remote measurement of the physiology, behaviour and energetic status of free-living animals is made possible by a variety of techniques that we refer to collectively as 'biotelemetry'. This set of tools ranges from transmitters that send their signals to receivers up to a few kilometers away to those that send data to orbiting satellites and, more frequently, to devices that log data. They enable researchers to document, for long uninterrupted periods, how undisturbed organisms interact with each other and their environment in real time. In spite of advances enabling the monitoring of many physiological and behavioural variables across a range of taxa of various sizes, these devices have yet to be embraced widely by the ecological community. Our review suggests that this technology has immense potential for research in basic and applied animal ecology. Efforts to incorporate biotelemetry into broader ecological research programs should yield novel information that has been challenging to collect historically from free-ranging animals in their natural environments. Examples of research that would benefit from biotelemetry include the assessment of animal responses to different anthropogenic perturbations and the development of life-time energy budgets.
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            A landscape-scale study of bumble bee foraging range and constancy, using harmonic radar

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              Simple rules guide dragonfly migration.

              Every year billions of butterflies, dragonflies, moths and other insects migrate across continents, and considerable progress has been made in understanding population-level migratory phenomena. However, little is known about destinations and strategies of individual insects. We attached miniaturized radio transmitters (ca 300 mg) to the thoraxes of 14 individual dragonflies (common green darners, Anax junius) and followed them during their autumn migration for up to 12 days, using receiver-equipped Cessna airplanes and ground teams. Green darners exhibited distinct stopover and migration days. On average, they migrated every 2.9+/-0.3 days, and their average net advance was 58+/-11 km in 6.1+/-0.9 days (11.9+/-2.8 km d-1) in a generally southward direction (186+/-52 degrees). They migrated exclusively during the daytime, when wind speeds were less than 25 km h-1, regardless of wind direction, but only after two nights of successively lower temperatures (decrease of 2.1+/-0.6 degrees C in minimum temperature). The migratory patterns and apparent decision rules of green darners are strikingly similar to those proposed for songbirds, and may represent a general migration strategy for long-distance migration of organisms with high self-propelled flight speeds.
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                Author and article information

                Contributors
                p.kennedy@exeter.ac.uk
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                4 July 2018
                4 July 2018
                2018
                : 1
                : 88
                Affiliations
                [1 ]ISNI 0000 0004 1936 8024, GRID grid.8391.3, Environment and Sustainability Institute, , University of Exeter, ; Penryn Campus, Penryn, Cornwall TR10 9FE UK
                [2 ]ISNI 0000 0004 0446 0776, GRID grid.464128.d, INRA, , UMR 1065 Santé et Agroécologie du Vignoble, ; 71 avenue Edouard Bourlaux, 33882 Villenave d’Ornon Cedex, France
                Author information
                http://orcid.org/0000-0002-2999-7823
                http://orcid.org/0000-0002-9937-172X
                Article
                92
                10.1038/s42003-018-0092-9
                6123801
                30271969
                5ae886bb-f6b8-4e5a-919c-2565aa9ebc25
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 March 2018
                : 8 June 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000277, Department for Environment, Food and Rural Affairs (Defra);
                Award ID: PH0532
                Award ID: PH0532
                Award Recipient :
                Funded by: States of Jersey Department of Environment, S Hill, St Helier, Jersey, JE2 4US.
                Funded by: States of Jersey Department of Environment, S Hill, St Helier, Jersey JE2 4US
                Categories
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                © The Author(s) 2018

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