Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success

Automated 3D image-based tracking systems are new and promising devices to investigate the foraging behavior of flying animals with great accuracy and precision. 3D analyses can provide accurate assessments of flight performance in regard to speed, curvature, and hovering. However, there have been few applications of this technology in ecology, particularly for insects. We used this technology to analyze the behavioral interactions between the Western honey bee Apis mellifera and its invasive predator the Asian hornet, Vespa velutina nigrithorax. We investigated whether predation success could be affected by flight speed, flight curvature, and hovering of the Asian hornet and honey bees in front of one beehive. We recorded a total of 603,259 flight trajectories and 5175 predator–prey flight interactions leading to 126 successful predation events, representing 2.4% predation success. Flight speeds of hornets in front of hive entrances were much lower than that of their bee prey; in contrast to hovering capacity, while curvature range overlapped between the two species. There were large differences in speed, curvature, and hovering between the exit and entrance flights of honey bees. Interestingly, we found hornet density affected flight performance of both honey bees and hornets. Higher hornet density led to a decrease in the speed of honey bees leaving the hive, and an increase in the speed of honey bees entering the hive, together with more curved flight trajectories. These effects suggest some predator avoidance behavior by the bees. Higher honey bee flight curvature resulted in lower hornet predation success. Results showed an increase in predation success when hornet number increased up to 8 individuals, above which predation success decreased, likely due to competition among predators. Although based on a single colony, this study reveals interesting outcomes derived from the use of automated 3D tracking to derive accurate measures of individual behavior and behavioral interactions among flying species.

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Bibliographic Details
Main Authors: Poidatz, Juliette, Chiron, Guillaume, Kennedy, Peter J., Osborne, Juliet L., Requier, Fabrice
Format: article biblioteca
Language:eng
Subjects:L72 - Organismes nuisibles des animaux, Apis mellifera, Vespa, Vespa velutina, écologie animale, prédateur, courbure, interactions biologiques, espèce envahissante, conduite de la ruche, relation prédateur proie, compétition animale, écologie marine, performance animale, ruche, adaptation, http://aims.fao.org/aos/agrovoc/c_534, http://aims.fao.org/aos/agrovoc/c_8201, http://aims.fao.org/aos/agrovoc/c_13d98552, http://aims.fao.org/aos/agrovoc/c_427, http://aims.fao.org/aos/agrovoc/c_6163, http://aims.fao.org/aos/agrovoc/c_498bfab7, http://aims.fao.org/aos/agrovoc/c_49896, http://aims.fao.org/aos/agrovoc/c_49865, http://aims.fao.org/aos/agrovoc/c_3639, http://aims.fao.org/aos/agrovoc/c_29396, http://aims.fao.org/aos/agrovoc/c_35268, http://aims.fao.org/aos/agrovoc/c_4609, http://aims.fao.org/aos/agrovoc/c_5698, http://aims.fao.org/aos/agrovoc/c_3640, http://aims.fao.org/aos/agrovoc/c_117,
Online Access:http://agritrop.cirad.fr/608240/
http://agritrop.cirad.fr/608240/1/Ecology%20and%20Evolution%20-%202023%20-%20Poidatz%20-%20Density%20of%20predating%20Asian%20hornets%20at%20hives%20disturbs%20the%203D%20flight%20performance%20of.pdf
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id dig-cirad-fr-608240
record_format koha
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic L72 - Organismes nuisibles des animaux
Apis mellifera
Vespa
Vespa velutina
écologie animale
prédateur
courbure
interactions biologiques
espèce envahissante
conduite de la ruche
relation prédateur proie
compétition animale
écologie marine
performance animale
ruche
adaptation
http://aims.fao.org/aos/agrovoc/c_534
http://aims.fao.org/aos/agrovoc/c_8201
http://aims.fao.org/aos/agrovoc/c_13d98552
http://aims.fao.org/aos/agrovoc/c_427
http://aims.fao.org/aos/agrovoc/c_6163
http://aims.fao.org/aos/agrovoc/c_498bfab7
http://aims.fao.org/aos/agrovoc/c_49896
http://aims.fao.org/aos/agrovoc/c_49865
http://aims.fao.org/aos/agrovoc/c_3639
http://aims.fao.org/aos/agrovoc/c_29396
http://aims.fao.org/aos/agrovoc/c_35268
http://aims.fao.org/aos/agrovoc/c_4609
http://aims.fao.org/aos/agrovoc/c_5698
http://aims.fao.org/aos/agrovoc/c_3640
http://aims.fao.org/aos/agrovoc/c_117
L72 - Organismes nuisibles des animaux
Apis mellifera
Vespa
Vespa velutina
écologie animale
prédateur
courbure
interactions biologiques
espèce envahissante
conduite de la ruche
relation prédateur proie
compétition animale
écologie marine
performance animale
ruche
adaptation
http://aims.fao.org/aos/agrovoc/c_534
http://aims.fao.org/aos/agrovoc/c_8201
http://aims.fao.org/aos/agrovoc/c_13d98552
http://aims.fao.org/aos/agrovoc/c_427
http://aims.fao.org/aos/agrovoc/c_6163
http://aims.fao.org/aos/agrovoc/c_498bfab7
http://aims.fao.org/aos/agrovoc/c_49896
http://aims.fao.org/aos/agrovoc/c_49865
http://aims.fao.org/aos/agrovoc/c_3639
http://aims.fao.org/aos/agrovoc/c_29396
http://aims.fao.org/aos/agrovoc/c_35268
http://aims.fao.org/aos/agrovoc/c_4609
http://aims.fao.org/aos/agrovoc/c_5698
http://aims.fao.org/aos/agrovoc/c_3640
http://aims.fao.org/aos/agrovoc/c_117
spellingShingle L72 - Organismes nuisibles des animaux
Apis mellifera
Vespa
Vespa velutina
écologie animale
prédateur
courbure
interactions biologiques
espèce envahissante
conduite de la ruche
relation prédateur proie
compétition animale
écologie marine
performance animale
ruche
adaptation
http://aims.fao.org/aos/agrovoc/c_534
http://aims.fao.org/aos/agrovoc/c_8201
http://aims.fao.org/aos/agrovoc/c_13d98552
http://aims.fao.org/aos/agrovoc/c_427
http://aims.fao.org/aos/agrovoc/c_6163
http://aims.fao.org/aos/agrovoc/c_498bfab7
http://aims.fao.org/aos/agrovoc/c_49896
http://aims.fao.org/aos/agrovoc/c_49865
http://aims.fao.org/aos/agrovoc/c_3639
http://aims.fao.org/aos/agrovoc/c_29396
http://aims.fao.org/aos/agrovoc/c_35268
http://aims.fao.org/aos/agrovoc/c_4609
http://aims.fao.org/aos/agrovoc/c_5698
http://aims.fao.org/aos/agrovoc/c_3640
http://aims.fao.org/aos/agrovoc/c_117
L72 - Organismes nuisibles des animaux
Apis mellifera
Vespa
Vespa velutina
écologie animale
prédateur
courbure
interactions biologiques
espèce envahissante
conduite de la ruche
relation prédateur proie
compétition animale
écologie marine
performance animale
ruche
adaptation
http://aims.fao.org/aos/agrovoc/c_534
http://aims.fao.org/aos/agrovoc/c_8201
http://aims.fao.org/aos/agrovoc/c_13d98552
http://aims.fao.org/aos/agrovoc/c_427
http://aims.fao.org/aos/agrovoc/c_6163
http://aims.fao.org/aos/agrovoc/c_498bfab7
http://aims.fao.org/aos/agrovoc/c_49896
http://aims.fao.org/aos/agrovoc/c_49865
http://aims.fao.org/aos/agrovoc/c_3639
http://aims.fao.org/aos/agrovoc/c_29396
http://aims.fao.org/aos/agrovoc/c_35268
http://aims.fao.org/aos/agrovoc/c_4609
http://aims.fao.org/aos/agrovoc/c_5698
http://aims.fao.org/aos/agrovoc/c_3640
http://aims.fao.org/aos/agrovoc/c_117
Poidatz, Juliette
Chiron, Guillaume
Kennedy, Peter J.
Osborne, Juliet L.
Requier, Fabrice
Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
description Automated 3D image-based tracking systems are new and promising devices to investigate the foraging behavior of flying animals with great accuracy and precision. 3D analyses can provide accurate assessments of flight performance in regard to speed, curvature, and hovering. However, there have been few applications of this technology in ecology, particularly for insects. We used this technology to analyze the behavioral interactions between the Western honey bee Apis mellifera and its invasive predator the Asian hornet, Vespa velutina nigrithorax. We investigated whether predation success could be affected by flight speed, flight curvature, and hovering of the Asian hornet and honey bees in front of one beehive. We recorded a total of 603,259 flight trajectories and 5175 predator–prey flight interactions leading to 126 successful predation events, representing 2.4% predation success. Flight speeds of hornets in front of hive entrances were much lower than that of their bee prey; in contrast to hovering capacity, while curvature range overlapped between the two species. There were large differences in speed, curvature, and hovering between the exit and entrance flights of honey bees. Interestingly, we found hornet density affected flight performance of both honey bees and hornets. Higher hornet density led to a decrease in the speed of honey bees leaving the hive, and an increase in the speed of honey bees entering the hive, together with more curved flight trajectories. These effects suggest some predator avoidance behavior by the bees. Higher honey bee flight curvature resulted in lower hornet predation success. Results showed an increase in predation success when hornet number increased up to 8 individuals, above which predation success decreased, likely due to competition among predators. Although based on a single colony, this study reveals interesting outcomes derived from the use of automated 3D tracking to derive accurate measures of individual behavior and behavioral interactions among flying species.
format article
topic_facet L72 - Organismes nuisibles des animaux
Apis mellifera
Vespa
Vespa velutina
écologie animale
prédateur
courbure
interactions biologiques
espèce envahissante
conduite de la ruche
relation prédateur proie
compétition animale
écologie marine
performance animale
ruche
adaptation
http://aims.fao.org/aos/agrovoc/c_534
http://aims.fao.org/aos/agrovoc/c_8201
http://aims.fao.org/aos/agrovoc/c_13d98552
http://aims.fao.org/aos/agrovoc/c_427
http://aims.fao.org/aos/agrovoc/c_6163
http://aims.fao.org/aos/agrovoc/c_498bfab7
http://aims.fao.org/aos/agrovoc/c_49896
http://aims.fao.org/aos/agrovoc/c_49865
http://aims.fao.org/aos/agrovoc/c_3639
http://aims.fao.org/aos/agrovoc/c_29396
http://aims.fao.org/aos/agrovoc/c_35268
http://aims.fao.org/aos/agrovoc/c_4609
http://aims.fao.org/aos/agrovoc/c_5698
http://aims.fao.org/aos/agrovoc/c_3640
http://aims.fao.org/aos/agrovoc/c_117
author Poidatz, Juliette
Chiron, Guillaume
Kennedy, Peter J.
Osborne, Juliet L.
Requier, Fabrice
author_facet Poidatz, Juliette
Chiron, Guillaume
Kennedy, Peter J.
Osborne, Juliet L.
Requier, Fabrice
author_sort Poidatz, Juliette
title Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
title_short Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
title_full Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
title_fullStr Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
title_full_unstemmed Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success
title_sort density of predating asian hornets at hives disturbs the 3d flight performance of honey bees and decreases predation success
url http://agritrop.cirad.fr/608240/
http://agritrop.cirad.fr/608240/1/Ecology%20and%20Evolution%20-%202023%20-%20Poidatz%20-%20Density%20of%20predating%20Asian%20hornets%20at%20hives%20disturbs%20the%203D%20flight%20performance%20of.pdf
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AT kennedypeterj densityofpredatingasianhornetsathivesdisturbsthe3dflightperformanceofhoneybeesanddecreasespredationsuccess
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spelling dig-cirad-fr-6082402024-02-10T08:55:50Z http://agritrop.cirad.fr/608240/ http://agritrop.cirad.fr/608240/ Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success. Poidatz Juliette, Chiron Guillaume, Kennedy Peter J., Osborne Juliet L., Requier Fabrice. 2023. Ecology and Evolution, 13 (3):e9902, 11 p.https://doi.org/10.1002/ece3.9902 <https://doi.org/10.1002/ece3.9902> Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success Poidatz, Juliette Chiron, Guillaume Kennedy, Peter J. Osborne, Juliet L. Requier, Fabrice eng 2023 Ecology and Evolution L72 - Organismes nuisibles des animaux Apis mellifera Vespa Vespa velutina écologie animale prédateur courbure interactions biologiques espèce envahissante conduite de la ruche relation prédateur proie compétition animale écologie marine performance animale ruche adaptation http://aims.fao.org/aos/agrovoc/c_534 http://aims.fao.org/aos/agrovoc/c_8201 http://aims.fao.org/aos/agrovoc/c_13d98552 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_6163 http://aims.fao.org/aos/agrovoc/c_498bfab7 http://aims.fao.org/aos/agrovoc/c_49896 http://aims.fao.org/aos/agrovoc/c_49865 http://aims.fao.org/aos/agrovoc/c_3639 http://aims.fao.org/aos/agrovoc/c_29396 http://aims.fao.org/aos/agrovoc/c_35268 http://aims.fao.org/aos/agrovoc/c_4609 http://aims.fao.org/aos/agrovoc/c_5698 http://aims.fao.org/aos/agrovoc/c_3640 http://aims.fao.org/aos/agrovoc/c_117 Automated 3D image-based tracking systems are new and promising devices to investigate the foraging behavior of flying animals with great accuracy and precision. 3D analyses can provide accurate assessments of flight performance in regard to speed, curvature, and hovering. However, there have been few applications of this technology in ecology, particularly for insects. We used this technology to analyze the behavioral interactions between the Western honey bee Apis mellifera and its invasive predator the Asian hornet, Vespa velutina nigrithorax. We investigated whether predation success could be affected by flight speed, flight curvature, and hovering of the Asian hornet and honey bees in front of one beehive. We recorded a total of 603,259 flight trajectories and 5175 predator–prey flight interactions leading to 126 successful predation events, representing 2.4% predation success. Flight speeds of hornets in front of hive entrances were much lower than that of their bee prey; in contrast to hovering capacity, while curvature range overlapped between the two species. There were large differences in speed, curvature, and hovering between the exit and entrance flights of honey bees. Interestingly, we found hornet density affected flight performance of both honey bees and hornets. Higher hornet density led to a decrease in the speed of honey bees leaving the hive, and an increase in the speed of honey bees entering the hive, together with more curved flight trajectories. These effects suggest some predator avoidance behavior by the bees. Higher honey bee flight curvature resulted in lower hornet predation success. Results showed an increase in predation success when hornet number increased up to 8 individuals, above which predation success decreased, likely due to competition among predators. Although based on a single colony, this study reveals interesting outcomes derived from the use of automated 3D tracking to derive accurate measures of individual behavior and behavioral interactions among flying species. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/608240/1/Ecology%20and%20Evolution%20-%202023%20-%20Poidatz%20-%20Density%20of%20predating%20Asian%20hornets%20at%20hives%20disturbs%20the%203D%20flight%20performance%20of.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1002/ece3.9902 10.1002/ece3.9902 info:eu-repo/semantics/altIdentifier/doi/10.1002/ece3.9902 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1002/ece3.9902 info:eu-repo/semantics/dataset/purl/https://doi.org/10.6084/m9.figshare.22233067.v1 info:eu-repo/grantAgreement/EC/H2020/862665//(EU) ICT technologies for sustainable food systems/ICT-AGRI-FOOD info:eu-repo/grantAgreement/EC/H2020/ANR-21-ICAF-0001//(FRA) Understanding and anticipating mechanisms of honeybee colony mortality with connected beehives/BeeConnected