Publications by category
Journal articles
Horn J, Becher MA, Johst K, Kennedy PJ, Osborne JL, Radchuk V, Grimm V (2021). Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.
Ecol Appl,
31(1).
Abstract:
Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.
Forage availability has been suggested as one driver of the observed decline in honey bees. However, little is known about the effects of its spatiotemporal variation on colony success. We present a modeling framework for assessing honey bee colony viability in cropping systems. Based on two real farmland structures, we developed a landscape generator to design cropping systems varying in crop species identity, diversity, and relative abundance. The landscape scenarios generated were evaluated using the existing honey bee colony model BEEHAVE, which links foraging to in-hive dynamics. We thereby explored how different cropping systems determine spatiotemporal forage availability and, in turn, honey bee colony viability (e.g. time to extinction, TTE) and resilience (indicated by, e.g. brood mortality). To assess overall colony viability, we developed metrics, PH and PP, which quantified how much nectar and pollen provided by a cropping system per year was converted into a colony's adult worker population. Both crop species identity and diversity determined the temporal continuity in nectar and pollen supply and thus colony viability. Overall farmland structure and relative crop abundance were less important, but details mattered. For monocultures and for four-crop species systems composed of cereals, oilseed rape, maize, and sunflower, PH and PP were below the viability threshold. Such cropping systems showed frequent, badly timed, and prolonged forage gaps leading to detrimental cascading effects on life stages and in-hive work force, which critically reduced colony resilience. Four-crop systems composed of rye-grass-dandelion pasture, trefoil-grass pasture, sunflower, and phacelia ensured continuous nectar and pollen supply resulting in TTE > 5 yr, and PH (269.5 kg) and PP (108 kg) being above viability thresholds for 5 yr. Overall, trefoil-grass pasture, oilseed rape, buckwheat, and phacelia improved the temporal continuity in forage supply and colony's viability. Our results are hypothetical as they are obtained from simplified landscape settings, but they nevertheless match empirical observations, in particular the viability threshold. Our framework can be used to assess the effects of cropping systems on honey bee viability and to develop land-use strategies that help maintain pollination services by avoiding prolonged and badly timed forage gaps.
Abstract.
Author URL.
González-Cabrera J, Bumann H, Rodríguez-Vargas S, Kennedy PJ, Krieger K, Altreuther G, Hertel A, Hertlein G, Nauen R, Williamson MS, et al (2018). A single mutation is driving resistance to pyrethroids in European populations of the parasitic mite, Varroa destructor.
Journal of Pest Science,
91(3), 1137-1144.
Abstract:
A single mutation is driving resistance to pyrethroids in European populations of the parasitic mite, Varroa destructor
Varroa destructor is one of the major contributors to the significant losses of Western honey bee colonies worldwide. The synthetic pyrethroids tau-fluvalinate and flumethrin were very popular among beekeepers to control levels of parasitism until reports of therapeutic failures increased during the early 1990s. Three different mutations at position 925 of the V. destructor voltage-gated sodium channel have been associated with the resistance to these compounds. Resistant mites collected in the UK and in the Czech Republic showed only a substitution of leucine to valine (L925V), while those collected in the USA carried alternative mutations to isoleucine (L925I) or methionine (L925M). Here, we have used high-throughput genotyping assays to investigate the distribution of resistance mutations across Europe. Our data show that the mutation L925V is present in most of the European countries tested, albeit with an uneven distribution. We also show new evidence for the significant correlation of the mutation with resistance and conclude that it is likely that resistant mites have a reduced fitness. The implications for integrated management of the parasite are discussed.
Abstract.
Kennedy PJ, Ford SM, Poidatz J, Thiery D, Osborne JL (2018). Searching for nests of the invasive Asian hornet (Vespa velutina) using radio-telemetry.
Communications Biology,
1Abstract:
Searching for nests of the invasive Asian hornet (Vespa velutina) using radio-telemetry
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.
Full text:. http://www.nature.com/articles/s42003-018-0092-9
Abstract.
Henry M, Becher MA, Osborne JL, Kennedy PJ, Aupinel P, Bretagnolle V, Brun F, Grimm V, Horn J, Requier F, et al (2016). Predictive systems models can help elucidate bee declines driven by multiple combined stressors. Apidologie, 48(3), 328-339.
Horn J, Becher MA, Kennedy PJ, Osborne JL, Grimm V (2015). Multiple stressors: using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. Oikos, 125(7), 1001-1016.
Rumkee JCO, Becher MA, Thorbek P, Kennedy PJ, Osborne JL (2015). Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides.
Environ Sci Technol,
49(21), 12879-12887.
Abstract:
Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides.
To simulate effects of pesticides on different honeybee (Apis mellifera L.) life stages, we used the BEEHAVE model to explore how increased mortalities of larvae, in-hive workers, and foragers, as well as reduced egg-laying rate, could impact colony dynamics over multiple years. Stresses were applied for 30 days, both as multiples of the modeled control mortality and as set percentage daily mortalities to assess the sensitivity of the modeled colony both to small fluctuations in mortality and periods of low to very high daily mortality. These stresses simulate stylized exposure of the different life stages to nectar and pollen contaminated with pesticide for 30 days. Increasing adult bee mortality had a much greater impact on colony survival than mortality of bee larvae or reduction in egg laying rate. Importantly, the seasonal timing of the imposed mortality affected the magnitude of the impact at colony level. In line with the LD50, we propose a new index of "lethal imposed stress": the LIS50 which indicates the level of stress on individuals that results in 50% colony mortality. This (or any LISx) is a comparative index for exploring the effects of different stressors at colony level in model simulations. While colony failure is not an acceptable protection goal, this index could be used to inform the setting of future regulatory protection goals.
Abstract.
Author URL.
Becher MA, Grimm V, Thorbek P, Horn J, Kennedy PJ, Osborne JL (2014). BEEHAVE: a systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure. Journal of Applied Ecology
González-Cabrera J, Davies TGE, Field LM, Kennedy PJ, Williamson MS (2013). An amino acid substitution (L925V) associated with resistance to pyrethroids in Varroa destructor.
PLoS ONE,
8(12).
Abstract:
An amino acid substitution (L925V) associated with resistance to pyrethroids in Varroa destructor
The Varroa mite, Varroa destructor, is an important pest of honeybees and has played a prominent role in the decline in bee colony numbers over recent years. Although pyrethroids such as tau-fluvalinate and flumethrin can be highly effective in removing the mites from hives, their intensive use has led to many reports of resistance. To investigate the mechanism of resistance in UK Varroa samples, the transmembrane domain regions of the V. destructor voltage-gated sodium channel (the main target site for pyrethroids) were PCR amplified and sequenced from pyrethroid treated/untreated mites collected at several locations in Central/Southern England. A novel amino acid substitution, L925V, was identified that maps to a known hot spot for resistance within the domain IIS5 helix of the channel protein; a region that has also been proposed to form part of the pyrethroid binding site. Using a high throughput diagnostic assay capable of detecting the mutation in individual mites, the L925V substitution was found to correlate well with resistance, being present in all mites that had survived tau-fluvalinate treatment but in only 8% of control, untreated samples. The potential for using this assay to detect and manage resistance in Varroa-infected hives is discussed. © 2013 González-Cabrera et al.
Abstract.
Becher MA, Osborne JL, Thorbek P, Kennedy PJ, Grimm V (2013). Towards a systems approach for understanding honeybee decline: a stocktaking and synthesis of existing models. Journal of Applied Ecology
Chapters
Grimm V, Becher MA, Kennedy P, Thorbek P, Osborne J (2014). Ecological Modeling for Pesticide Risk Assessment for Honey Bees and Other Pollinators. In (Ed)
Pesticide Risk Assessment for Pollinators, 149-162.
Abstract:
Ecological Modeling for Pesticide Risk Assessment for Honey Bees and Other Pollinators
Abstract.
Publications by year
2022
Poidatz J, Chiron G, Kennedy P, Osborne J, Requier F (2022). Density of predating Asian hornets at hives disturbs the 3D flight performance of honey bees and decreases predation success.
2021
Horn J, Becher MA, Johst K, Kennedy PJ, Osborne JL, Radchuk V, Grimm V (2021). Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.
Ecol Appl,
31(1).
Abstract:
Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework.
Forage availability has been suggested as one driver of the observed decline in honey bees. However, little is known about the effects of its spatiotemporal variation on colony success. We present a modeling framework for assessing honey bee colony viability in cropping systems. Based on two real farmland structures, we developed a landscape generator to design cropping systems varying in crop species identity, diversity, and relative abundance. The landscape scenarios generated were evaluated using the existing honey bee colony model BEEHAVE, which links foraging to in-hive dynamics. We thereby explored how different cropping systems determine spatiotemporal forage availability and, in turn, honey bee colony viability (e.g. time to extinction, TTE) and resilience (indicated by, e.g. brood mortality). To assess overall colony viability, we developed metrics, PH and PP, which quantified how much nectar and pollen provided by a cropping system per year was converted into a colony's adult worker population. Both crop species identity and diversity determined the temporal continuity in nectar and pollen supply and thus colony viability. Overall farmland structure and relative crop abundance were less important, but details mattered. For monocultures and for four-crop species systems composed of cereals, oilseed rape, maize, and sunflower, PH and PP were below the viability threshold. Such cropping systems showed frequent, badly timed, and prolonged forage gaps leading to detrimental cascading effects on life stages and in-hive work force, which critically reduced colony resilience. Four-crop systems composed of rye-grass-dandelion pasture, trefoil-grass pasture, sunflower, and phacelia ensured continuous nectar and pollen supply resulting in TTE > 5 yr, and PH (269.5 kg) and PP (108 kg) being above viability thresholds for 5 yr. Overall, trefoil-grass pasture, oilseed rape, buckwheat, and phacelia improved the temporal continuity in forage supply and colony's viability. Our results are hypothetical as they are obtained from simplified landscape settings, but they nevertheless match empirical observations, in particular the viability threshold. Our framework can be used to assess the effects of cropping systems on honey bee viability and to develop land-use strategies that help maintain pollination services by avoiding prolonged and badly timed forage gaps.
Abstract.
Author URL.
2019
Horn J, Becher MA, Johst K, Kennedy PJ, Osborne JL, Radchuk V, Grimm V (2019). Honeybee colony performance affected by crop diversity and farmland structure: a modelling framework.
2018
González-Cabrera J, Bumann H, Rodríguez-Vargas S, Kennedy PJ, Krieger K, Altreuther G, Hertel A, Hertlein G, Nauen R, Williamson MS, et al (2018). A single mutation is driving resistance to pyrethroids in European populations of the parasitic mite, Varroa destructor.
Journal of Pest Science,
91(3), 1137-1144.
Abstract:
A single mutation is driving resistance to pyrethroids in European populations of the parasitic mite, Varroa destructor
Varroa destructor is one of the major contributors to the significant losses of Western honey bee colonies worldwide. The synthetic pyrethroids tau-fluvalinate and flumethrin were very popular among beekeepers to control levels of parasitism until reports of therapeutic failures increased during the early 1990s. Three different mutations at position 925 of the V. destructor voltage-gated sodium channel have been associated with the resistance to these compounds. Resistant mites collected in the UK and in the Czech Republic showed only a substitution of leucine to valine (L925V), while those collected in the USA carried alternative mutations to isoleucine (L925I) or methionine (L925M). Here, we have used high-throughput genotyping assays to investigate the distribution of resistance mutations across Europe. Our data show that the mutation L925V is present in most of the European countries tested, albeit with an uneven distribution. We also show new evidence for the significant correlation of the mutation with resistance and conclude that it is likely that resistant mites have a reduced fitness. The implications for integrated management of the parasite are discussed.
Abstract.
Kennedy PJ, Ford SM, Poidatz J, Thiery D, Osborne JL (2018). Searching for nests of the invasive Asian hornet (Vespa velutina) using radio-telemetry.
Communications Biology,
1Abstract:
Searching for nests of the invasive Asian hornet (Vespa velutina) using radio-telemetry
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.
Full text:. http://www.nature.com/articles/s42003-018-0092-9
Abstract.
2016
Henry M, Becher MA, Osborne JL, Kennedy PJ, Aupinel P, Bretagnolle V, Brun F, Grimm V, Horn J, Requier F, et al (2016). Predictive systems models can help elucidate bee declines driven by multiple combined stressors. Apidologie, 48(3), 328-339.
2015
Horn J, Becher MA, Kennedy PJ, Osborne JL, Grimm V (2015). Multiple stressors: using the honeybee model BEEHAVE to explore how spatial and temporal forage stress affects colony resilience. Oikos, 125(7), 1001-1016.
Rumkee JCO, Becher MA, Thorbek P, Kennedy PJ, Osborne JL (2015). Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides.
Environ Sci Technol,
49(21), 12879-12887.
Abstract:
Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides.
To simulate effects of pesticides on different honeybee (Apis mellifera L.) life stages, we used the BEEHAVE model to explore how increased mortalities of larvae, in-hive workers, and foragers, as well as reduced egg-laying rate, could impact colony dynamics over multiple years. Stresses were applied for 30 days, both as multiples of the modeled control mortality and as set percentage daily mortalities to assess the sensitivity of the modeled colony both to small fluctuations in mortality and periods of low to very high daily mortality. These stresses simulate stylized exposure of the different life stages to nectar and pollen contaminated with pesticide for 30 days. Increasing adult bee mortality had a much greater impact on colony survival than mortality of bee larvae or reduction in egg laying rate. Importantly, the seasonal timing of the imposed mortality affected the magnitude of the impact at colony level. In line with the LD50, we propose a new index of "lethal imposed stress": the LIS50 which indicates the level of stress on individuals that results in 50% colony mortality. This (or any LISx) is a comparative index for exploring the effects of different stressors at colony level in model simulations. While colony failure is not an acceptable protection goal, this index could be used to inform the setting of future regulatory protection goals.
Abstract.
Author URL.
2014
Becher MA, Grimm V, Thorbek P, Horn J, Kennedy PJ, Osborne JL (2014). BEEHAVE: a systems model of honeybee colony dynamics and foraging to explore multifactorial causes of colony failure. Journal of Applied Ecology
Grimm V, Becher MA, Kennedy P, Thorbek P, Osborne J (2014). Ecological Modeling for Pesticide Risk Assessment for Honey Bees and Other Pollinators. In (Ed)
Pesticide Risk Assessment for Pollinators, 149-162.
Abstract:
Ecological Modeling for Pesticide Risk Assessment for Honey Bees and Other Pollinators
Abstract.
2013
González-Cabrera J, Davies TGE, Field LM, Kennedy PJ, Williamson MS (2013). An amino acid substitution (L925V) associated with resistance to pyrethroids in Varroa destructor.
PLoS ONE,
8(12).
Abstract:
An amino acid substitution (L925V) associated with resistance to pyrethroids in Varroa destructor
The Varroa mite, Varroa destructor, is an important pest of honeybees and has played a prominent role in the decline in bee colony numbers over recent years. Although pyrethroids such as tau-fluvalinate and flumethrin can be highly effective in removing the mites from hives, their intensive use has led to many reports of resistance. To investigate the mechanism of resistance in UK Varroa samples, the transmembrane domain regions of the V. destructor voltage-gated sodium channel (the main target site for pyrethroids) were PCR amplified and sequenced from pyrethroid treated/untreated mites collected at several locations in Central/Southern England. A novel amino acid substitution, L925V, was identified that maps to a known hot spot for resistance within the domain IIS5 helix of the channel protein; a region that has also been proposed to form part of the pyrethroid binding site. Using a high throughput diagnostic assay capable of detecting the mutation in individual mites, the L925V substitution was found to correlate well with resistance, being present in all mites that had survived tau-fluvalinate treatment but in only 8% of control, untreated samples. The potential for using this assay to detect and manage resistance in Varroa-infected hives is discussed. © 2013 González-Cabrera et al.
Abstract.
Becher MA, Osborne JL, Thorbek P, Kennedy PJ, Grimm V (2013). Towards a systems approach for understanding honeybee decline: a stocktaking and synthesis of existing models. Journal of Applied Ecology