Gone with the wind: effects of wind on honey bee visit rate and foraging behaviour

Hennessy, Georgia; Harris, Ciaran; Eaton, C. B.; Wright, Philip L.; Jackson, Emily; Goulson, Dave; Ratnieks, F. L. W.

doi:10.1016/j.anbehav.2019.12.018

Cited by 59 publications

(46 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…automatically closing the beehive gates or changing inside temperature. Henessy et al proved (Hennessy et al, 2020) that wind has direct and indirect effects on foraging of worker bees (Apis mellifera). The former indicates that foraging rate lowers with increase of wind speed, while latter introduces hesitation of taking off from flowers after nectar gathering.…”

Section: Data Fusion Approach Applications In Precision Beekeepingmentioning

confidence: 99%

Data fusion challenges in precision beekeeping: a review

Bumanis

2020

Research for Rural Development

View full text Add to dashboard Cite

The objective of precision beekeeping is to minimize resource consumption and maximize productivity of bees. This is achieved by detecting and predicting beehive states by monitoring apiary and beehive related parameters like temperature, weight, humidity, noise, vibrations, air pollution, wind, precipitation, etc. These parameters are collected as a raw input data by use of multiple different sensory devices, and are often imperfect and require creation of correlation between time data series. Currently, most researches focus on monitoring and processing each parameter separately, whereas combination of multiple parameters produces information that is more sophisticated. Raw input data sets that complement one another could be pre-processed by applying data fusion methods to achieve understanding about global research subject. There are multiple data fusion methods and classification models, distinguished by raw input data type or device usage, whereas sensor related data fusion is called sensor fusion. This paper analyses existing data fusion methods and process in order to identify data fusion challenges and correlate them with precision beekeeping objectives. The research was conducted over a period of 5 months, starting from October, 2019 and was based on analysis and synthesis of scientific literature. The conclusion was made that requirement of data fusion appliance in precision beekeeping is determined by a global research objective, whereas input data introduces main challenges of data and sensor fusion, as its attributes correlate with potential result.

show abstract

Section: Data Fusion Approach Applications In Precision Beekeepingmentioning

confidence: 99%

Data fusion challenges in precision beekeeping: a review

Bumanis

2020

Research for Rural Development

View full text Add to dashboard Cite

show abstract

“…Traffic‐generated turbulence at the road edge (gusts of wind equivalent to an average wind speed of approximately 16 km/hr; Bani‐Hani et al., 2018) might disturb pollinators and is likely to make foraging more difficult (Hennessy et al., 2020). One study has considered this.…”

Section: Introductionmentioning

confidence: 99%

Impacts of multiple pollutants on pollinator activity in road verges

Phillips

Bullock

Gaston

et al. 2021

Journal of Applied Ecology

View full text Add to dashboard Cite

To tackle pollinator declines, there is a major need to increase the quantity of flower‐rich habitats. Road verges offer one such opportunity but are exposed to diverse forms of pollution from roads and road traffic. We carried out a broad initial assessment to establish if and how pollution affects the quality of road verges as pollinator foraging environments. We assessed the spatial distribution of pollution, flowers and pollinators in road verges, then used field experiments to simulate and measure the impacts of four ubiquitous and little studied forms of road pollution (noise, turbulence, dust and metals) on pollinator densities and foraging behaviour. We found that pollinators in road verges were exposed to noise, turbulence, dust and metal pollution, which decreased with distance from the road edge but, with the exception of turbulence, extended more than 8 m into road verges. Pollinator densities were lower closer to the road edge—particularly within first 2 m (55% lower than at 7–9 m)—where pollution is greatest. This was despite a similar density and species richness of flowers. Simulated turbulence deterred pollinators by causing intermittent disturbance (reducing visit duration by up to 54%), and some pollinator taxa preferentially avoided concentrations of metals that were more frequently found in flowers within 2 m of roads (resulting in up to 75% fewer visits), while noise and dust had no apparent effect. Synthesis and applications. Pollinators in road verges are exposed to many forms of pollution, and we found impacts of roadside‐realistic levels of turbulence and metals on pollinator densities and foraging behaviour. Although the findings suggest that road verges are largely suitable for pollinator conservation, management enhancements should prioritise areas more than 2 m from the road edge, and verges along roads with relatively lower traffic densities.

show abstract

“…Visual detection of a predator depends on the spectral sensitivity of the prey’s eye (the ability of the eye to respond to specific wavelengths of the light spectrum; Cronin et al, (2014)), spatial acuity (the capacity to discriminate shape and pattern details; Caves et al, (2018)) and temporal resolution (time taken to process visual information; Cronin et al, (2014)). Furthermore, abiotic factors such as wind or obstacles can add to the visual clutter in a habitat (Burnett et al, 2020; Hennessy et al, 2020) and consequently hinder predator detection.…”

Section: Introductionmentioning

confidence: 99%

Avoiding attack: How dune wasps leverage colour and motion to detect their cryptic spider predators

Rodríguez-Morales

Tapia-McClung

et al. 2021

Preprint

View full text Add to dashboard Cite

Ambush predators depend on cryptic body colouration, stillness and a suitable hunting location to optimise the probability of prey capture. Detection of cryptic predators, such as crab spiders, by flower seeking wasps may also be hindered by wind induced movement of the flowers themselves. In a beach dune habitat, as Microbembex nigrifrons wasps approach flowerheads of the Palafoxia lindenii plant, they need to evaluate the flowers and avoid landing on crab spider occupied flowers. Wasps may detect spiders through colour and movement cues. We tracked the flight trajectories of dune wasps as they approached occupied and unoccupied flowers under two movement conditions; when the flowers were still or moving. We simulated the appearance of the spider and the flower using psychophysical visual modelling techniques and related it to the decisions made by the wasp to land or avoid the flower. Wasps could discriminate spiders only at a very close range, and this was reflected in the shape of their trajectories. Wasps were more prone to making errors in threat assessment when the flowers are moving. Our results suggest that dune wasp predation risk is augmented by abiotic conditions such as wind and compromises their early detection capabilities.

show abstract

Gone with the wind: effects of wind on honey bee visit rate and foraging behaviour

Cited by 59 publications

References 51 publications

Data fusion challenges in precision beekeeping: a review

Data fusion challenges in precision beekeeping: a review

Impacts of multiple pollutants on pollinator activity in road verges

Avoiding attack: How dune wasps leverage colour and motion to detect their cryptic spider predators

Contact Info

Product

Resources

About