How regulation based on a common stomach leads to economic optimization of honeybee foraging

Schmickl, Thomas; Karsai, István

doi:10.1016/j.jtbi.2015.10.036

Cited by 26 publications

(24 citation statements)

References 50 publications

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“…Pollinator dependent crops, such as açaí, can also be compromised by climate variability due to direct effects on the pollinator community . Abiotic environmental factors such as rainfall therefore jointly affect the yield and availability of pollen and nectar, and thus influence the success of pollination . Therefore, low yield values during these months could be related to stages of inflorescence and flowering since, during February and March the high rainfall could have made insect visits to flowers difficult, which consequently would impact fertilization of the flowers.…”

Section: Resultsmentioning

confidence: 99%

Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon

et al. 2019

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BACKGROUND: The increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the 'stepwise forward' method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P + I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘ C. RESULTS:The most important meteorological variables were T, SR, and VPD for IRRS, and for RAINF water stress had the greatest effect. The accuracy of the agrometeorological models, using maximum values for mean absolute percent error (MAPE), was 0.01 in the IRRS and 1.12 in the RAINF. CONCLUSION: Using these models yield was predicted approximately 6 to 9 months before the harvest,

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Section: Resultsmentioning

confidence: 99%

Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon

et al. 2019

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“…The common stomach as a regulatory mechanism for task partitioning and work allocation has been shown in wasps [15,17,27,32,3], ants [33] and bees [34]. These agent-based or system dynamic models are based on empirical functions and observations and provide numerically calculated predictions for comparison with empirical data and other models.…”

Section: Discussionmentioning

confidence: 99%

Task Allocation of Wasps Governed by Common Stomach: A Model Based on Electric Circuits

Hilbun

Karsai

2016

PLoS ONE

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Simple regulatory mechanisms based on the idea of the saturable ‘common stomach’ can control the regulation of construction behavior and colony-level responses to environmental perturbations in Metapolybia wasp societies. We mapped the different task groups to mutual inductance electrical circuits and used Kirchoff’s basic voltage laws to build a model that uses master equations from physics, yet is able to provide strong predictions for this complex biological phenomenon. Similar to real colonies, independently of the initial conditions, the system shortly sets into an equilibrium, which provides optimal task allocation for a steady construction, depending on the influx of accessible water. The system is very flexible and in the case of perturbations, it reallocates its workforce and adapts to the new situation with different equilibrium levels. Similar to the finding of field studies, decreasing any task groups caused decrease of construction; increasing or decreasing water inflow stimulated or reduced the work of other task groups while triggering compensatory behavior in water foragers. We also showed that only well connected circuits are able to produce adequate construction and this agrees with the finding that this type of task partitioning only exists in larger colonies. Studying the buffer properties of the common stomach and its effect on the foragers revealed that it provides stronger negative feedback to the water foragers, while the connection between the pulp foragers and the common stomach has a strong fixed-point attractor, as evidenced by the dissipative trajectory.

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“…Longer distances will be flown for higher quality resources and during times of higher demand (van der Steen et al 2012). Accordingly, unloading times are also linked to demand, foraging time, and distance (Schmickl and Karsai 2016).…”

Section: Nectar Collection and Provisioning Of The Colonymentioning

confidence: 99%

Dietary requirements of individual nectar foragers, and colony-level pollen and nectar consumption: a review to support pesticide exposure assessment for honey bees

Rodney

Purdy²

2020

Apidologie

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Exposure to pesticides is a potential concern for pollinators that may forage on plants containing residues. A key element of estimating dietary risk to pollinators is to determine the nature and amount of food consumed by individuals. Recent efforts have focused on honey bees (Apis mellifera), of which nectar foragers are thought to be at greatest risk of dietary exposure due to their foraging behavior and high energy requirements for the flight-foraging activities. At upper tiers of pesticide risk assessment for honey bees, field studies with whole colonies are carried out to gauge effects of expected exposures; however, without knowing how much nectar and pollen is being consumed by colonies and the potential variability in these parameters, it is difficult to accurately assess risk under other untested exposure scenarios. The objective of this review was to collate available data from the literature regarding (1) the quantity of nectar required by nectar foragers and (2) the quantities of nectar, pollen, and supplements that are consumed by colonies; the purposes being to develop a database that can be used to improve exposure and risk assessments, and to identify data gaps for further research. A number of studies investigating honey bee energetics have been identified that can be used to estimate sugar requirements for foragers under different conditions (e.g., resting, flying). A few more recent studies have been able to quantify the amount of time foragers spend outside the hive. Factors requiring further investigation include levels of energy expenditure while outside the hive, and the sugar content of available nectars, which may also affect foraging behavior. At the colony level, data on food consumption are sparse and primarily anecdotal. Colony size, management, and location seem to be major factors contributing to differences in nectar foraging and honey production. Further research is needed to better quantify and predict colony use and storage of food resources.

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How regulation based on a common stomach leads to economic optimization of honeybee foraging

Cited by 26 publications

References 50 publications

Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon

Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon

Task Allocation of Wasps Governed by Common Stomach: A Model Based on Electric Circuits

Dietary requirements of individual nectar foragers, and colony-level pollen and nectar consumption: a review to support pesticide exposure assessment for honey bees

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