Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides

Rumkee, Jack Charles Oliver; Becher, Melissa; Thorbek, Pernille; Osborne, Juliet L.

doi:10.1021/acs.est.5b03593

Cited by 44 publications

(57 citation statements)

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“…infectious agents, climatic and habitat changes, resources, etc.) Feedback mechanisms in honeybee colonies make it challenging to extrapolate effects measured at the individual level mostly under laboratory conditions to potential adverse effects on colony processes and population dynamics observed under field conditions (Rumkee et al, 2015). There is still a lack of good knowledge of the potential interactions and effects of these multiple stressors at the colony level and in field conditions.…”

Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

“…stressors, some of which contributed to honeybee colony losses in many parts of the world (van Engelsdorp and Meixner, 2010;Potts et al, 2010;Laurent et al, 2015). In addition, determining the colony level impact of an individual effect is difficult because stressors can affect individuals in a number of ways (Rumkee et al, 2015). It is therefore difficult to predict how the stressors change colony dynamics separately and in combination (Thompson, 2012;ANSES, 2015).…”

Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

“…They include holistic approaches such as ecological modelling combined with the results of mechanistic studies, and semi-field and field studies were identified as useful approaches (EFSA, 2013c(EFSA, , 2015bRumkee et al, 2015;SEP, 2015b;Volani et al, 2015). colony strength and survival, quantity of hive products).…”

Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

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Advancing environmental risk assessment of regulated products under EFSA's remit

Devos

Gaugitsch

Gray

et al. 2016

EFS2

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The pre-market environmental risk assessment (ERA) of regulated products such as genetically modified organisms, plant protection products and feed additives is an important process to safeguard the desired level of protection of the environment and biodiversity. ERA evaluates the potential adverse effects on the environment of certain actions, and is an important analytical scientific tool to support regulatory decision-making. Significant advances have been made in the field in recent years. Potential avenues to the further advancement of ERA of regulated products under EFSA's remit were discussed during the breakout session 'Advancing environmental risk assessment' held at the EFSA 2nd Scientific Conference 'Shaping the Future of Food Safety, Together' (Milan, Italy, 14-16 October 2015). The value of ERA and its relevance to decision-making can be increased by: (1) using the ecosystem services approach to make protection goals operational; (2) relying on problem formulation to enhance the relevance of ERA studies; (3) complying with quality standards to warrant the reliability of ERA studies; (4) making ERA more contextual by accounting for multiple stressors and environmental benefits; and (5) acknowledging the strengths and limitations of post-market environmental monitoring as a tool to resolve scientific uncertainties.

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Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

Section: Moving Towards Integrated Eras To Account For Multiple Stresmentioning

confidence: 99%

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Advancing environmental risk assessment of regulated products under EFSA's remit

Devos

Gaugitsch

Gray

et al. 2016

EFS2

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“…Rumkee et al [31] used BEEHAVE to simulate effects on queen egg-laying rate and mortality of different life stages and found that the colony was most sensitive to loss of workers, so in the present study we focus on sublethal effects on workers. Rumkee et al [31] used BEEHAVE to simulate effects on queen egg-laying rate and mortality of different life stages and found that the colony was most sensitive to loss of workers, so in the present study we focus on sublethal effects on workers.…”

Section: Introductionmentioning

confidence: 99%

Colony impact of pesticide‐induced sublethal effects on honeybee workers: A simulation study using BEEHAVE

Thorbek

Campbell

Thompson

2016

Enviro Toxic and Chemistry

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Research on neonicotinoids and honeybees have changed focus from direct mortality to sublethal effects. In the present study, a published honeybee model, BEEHAVE, is used to compare induced colony level impact of pesticides including direct mortality, poor brood care, disorientation, and increased handling time in oilseed rape and sunflower crops. Actual effects on individual bees will depend on exposure concentrations, but in the present study large effects were enforced. In oilseed rape, poor brood care had the largest colony impact, because it created a bottleneck for spring build-up of the workforce, and colony impact for all effect types peaked 1 mo after exposure ceased. In sunflower, the later exposure changed the response so colony impact peaked during exposure, and the bottleneck was honey store build-up. In all scenarios, good forage mitigated effects substantially. It is concluded that field studies should continue at least 1 mo after exposure to ensure detection of ecologically relevant sublethal effects. The results indicated that even if a sublethal effect is difficult to detect in the field, subsequent ecologically relevant colony level impacts would be clear if studies are continued for 1 mo after exposure. Guidance for regulatory studies recommends extended observation periods, and published field studies already use extended observation periods, so it is concluded that current methods are adequate for detecting ecologically relevant sublethal effects. Although published laboratory and semifield studies conducted under controlled exposure conditions suggest that sublethal effects may occur, published field studies with neonicotinoid seed treatments, naturally foraging bees, and extended observation periods do not report colony-level effects, suggesting that in these studies no ecologically relevant sublethal effects occurred. Environ Toxicol Chem 2017;36:831-840. © 2016 SETAC.

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“…10 To understand the role that each of the factors pesticides, parasites and lack of floral resources, 11 may play in honeybee colony failure, multi-stress models are needed that deal with hive 12 dynamics, parasitic infections as well as contaminants . The BEEHAVE 13 model is an example of such a model ; Rumkee et al 2015) that can be 14 exploited to disentangle the multi-stress interactions. nearby, most foraging will take place within a few kilometres.…”

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Supplemental Information 1: Supplemental Figures Baveco Et Al

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Estimating the exposure of honeybees to pesticides on a landscape scale requires models of their spatial foraging behaviour. For this purpose, we developed a mechanistic, energetics-based model for a single day of nectar foraging in complex landscape mosaics.The hive population was assumed to select the resource patch with highest net energetic efficiency in perfect knowledge of its environment. During the day the optimal patch could change, due to resource depletion or related to the characteristics of the resource (i.e., the period flowers were open and provided nectar). By quantifying foraging costs and yield in terms of energy, we accounted for the impact of field distance and size, the occurrence of resource depletion and the characteristics of the resource type (crops and wild flowers), like seasonal and diurnal patterns in availability.From the model we derived simple rules for resource patch selection, e.g., for landscapes with mass-flowering crops, the net energetic efficiency would be proportional to the ratio of the energetic content of the nectar of the crop divided by distance of crop field to the hive. Also, we determined maximum distances at which resources like oilseed rape and clover could still be energetically attractive.We used the model to assess the potential for pesticide exposure dilution in landscapes of different composition and complexity. Dilution implied a lower average concentration in nectar arriving at the hive, resulting from foraging effort being diverted away from treated fields. Applying the model for all possible hive locations in a landscape, landscape-specific distributions of dilution values were obtained.For a case study area for which detailed spatial data were available, we tested three scenarios that were expected to lead to exposure dilution: the presence of i) equally attractive crop fields in the neighbourhood of a treated field, ii) highly attractive flowers strips of different widths at the edges of treated fields (off-crop in-field resources), and iii) highly attractive resources on off-field (semi-natural) habitats. The results indicated significant dilution at landscape scale only from flowers strips of more than 5 m wide and off-field habitats. On an area-base, flowers strips were approximately 10 times as effective as off-field habitats, the main reason being that the flowers strips had an optimal location, always at the edges of treated fields. There is serious concern about the widespread decline of honeybees and wild pollinators in the 3 agricultural landscape Vanbergen et al. 2013). Combined stress from 4 pesticides, parasites and lack of floral resources, is probably the main cause of the observed 5 decline (Goulson et al. 2015). Honeybees, by exploiting mass-flowering crops, operating over 6 long distances, and by being carefully managed by beekeepers, may be relatively insensitive to 7 the disappearance and deterioration of semi-natural elements providing food and nesting Honeybee foraging models may thus be used to predict potential exposure on a l...

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Predicting Honeybee Colony Failure: Using the BEEHAVE Model to Simulate Colony Responses to Pesticides

Cited by 44 publications

References 40 publications

Advancing environmental risk assessment of regulated products under EFSA's remit

Advancing environmental risk assessment of regulated products under EFSA's remit

Colony impact of pesticide‐induced sublethal effects on honeybee workers: A simulation study using BEEHAVE

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