Anna Dornhaus

Ecology: a prerequisite for malaria elimination and eradication

Gerry Killeen and colleagues argue that malaria eradication efforts will not be successful until a better understanding of the ecology and evolution of the mosquito vectors is gained.

Speed versus accuracy in collective decision making

We demonstrate a speed versus accuracy trade–off in collective decision making. House–hunting ant colonies choose a new nest more quickly in harsh conditions than in benign ones and are less discriminating. The errors that occur in a harsh environment are errors of judgement not errors of omission because the colonies have discovered all of the alternative nests before they initiate an emigration. Leptothorax albipennis ants use quorum sensing in their house hunting. They only accept a nest, and begin rapidly recruiting members of their colony, when they find within it a sufficient number of their nest–mates. Here we show that these ants can lower their quorum thresholds between benign and harsh conditions to adjust their speed–accuracy trade–off. Indeed, in harsh conditions these ants rely much more on individual decision making than collective decision making. Our findings show that these ants actively choose to take their time over judgements and employ collective decision making in benign conditions when accuracy is more important than speed.

Behavioural syndromes and social insects: personality at multiple levels.

Animal personalities or behavioural syndromes are consistent and/or correlated behaviours across two or more situations within a population. Social insect biologists have measured consistent individual variation in behaviour within and across colonies for decades. The goal of this review is to illustrate the ways in which both the study of social insects and of behavioural syndromes has overlapped, and to highlight ways in which both fields can move forward through the synergy of knowledge from each. Here we, (i) review work to date on behavioural syndromes (though not always referred to as such) in social insects, and discuss mechanisms and fitness effects of maintaining individual behavioural variation within and between colonies; (ii) summarise approaches and principles from studies of behavioural syndromes, such as trade‐offs, feedback, and statistical methods developed specifically to study behavioural consistencies and correlations, and discuss how they might be applied specifically to the study of social insects; (iii) discuss how the study of social insects can enhance our understanding of behavioural syndromes—research in behavioural syndromes is beginning to explore the role of sociality in maintaining or developing behavioural types, and work on social insects can provide new insights in this area; and (iv) suggest future directions for study, with an emphasis on examining behavioural types at multiple levels of organisation (genes, individuals, colonies, or groups of individuals).

Bees trade off foraging speed for accuracy

Bees have an impressive cognitive capacity, but the strategies used by individuals in solving foraging tasks have been largely unexplored. Here we test bumblebees (Bombus terrestris) in a colour-discrimination task on a virtual flower meadow and find that some bees consistently make rapid choices but with low precision, whereas other bees are slower but highly accurate. Moreover, each bee will sacrifice speed in favour of accuracy when errors are penalized instead of just being unrewarded. To our knowledge, bees are the first example of an insect to show between-individual and within-individual speed– accuracy trade-offs.

Why do honey bees dance

The honey bee dance language, used to recruit nestmates to food sources, is regarded by many as one of the most intriguing communication systems in animals. What were the ecological circumstances that favoured its evolution? We examined this question by creating experimental phenotypes in which the location information of the dances was obscured. Surprisingly, in two temperate habitats, these colonies performed only insignificantly worse than colonies which were able to communicate normally. However, foraging efficiency was substantially impaired in an Asian tropical forest following this manipulation. This indicates that dance language communication about food source locations may be important in some habitats, but not in others. Combining published data and our own, we assessed the clustering of bee forage sites in a variety of habitats by evaluating the bees’ dances. We found that the indicated sites are more clustered in tropical than in temperate habitats. This supports the hypothesis that in the context of foraging, the dance language is an adaptation to the particular habitats in which the honey bees evolved. We discuss our findings in relation to spatial aggregation patterns of floral food in temperate and tropical habitats.

On optimal decision-making in brains and social insect colonies

The problem of how to compromise between speed and accuracy in decision-making faces organisms at many levels of biological complexity. Striking parallels are evident between decision-making in primate brains and collective decision-making in social insect colonies: in both systems, separate populations accumulate evidence for alternative choices; when one population reaches a threshold, a decision is made for the corresponding alternative, and this threshold may be varied to compromise between the speed and the accuracy of decision-making. In primate decision-making, simple models of these processes have been shown, under certain parametrizations, to implement the statistically optimal procedure that minimizes decision time for any given error rate. In this paper, we adapt these same analysis techniques and apply them to new models of collective decision-making in social insect colonies. We show that social insect colonies may also be able to achieve statistically optimal collective decision-making in a very similar way to primate brains, via direct competition between evidence-accumulating populations. This optimality result makes testable predictions for how collective decision-making in social insects should be organized. Our approach also represents the first attempt to identify a common theoretical framework for the study of decision-making in diverse biological systems.

Evolutionary origins of bee dances

Although bumble-bees are highly social insects, their foraging has been considered to be managed as an individual initiative, in which each bumble-bee visits flowers not only to collect food, but also to gather information about other potential food sources. Here we show that bumble-bees instead use a primitive, but surprisingly efficient, recruitment system: by performing extended excitatory runs in the nest, a single successful forager can alert the entire foraging force of a bumble-bee colony. But in contrast to what happens in other social bees, such as honeybees, the recruits are not informed about the location of the food. Instead, the successful forager brings home the odour of the newly discovered food source, conveying to the recruits information about the species of flower. These findings about bumble-bee communication shed new light on the early evolutionary origins of the elaborate dance language of the honeybee.

Multimodal signals enhance decision making in foraging bumble-bees

Multimodal signals are common in nature and have recently attracted considerable attention. Despite this interest, their function is not well understood. We test the hypothesis that multimodal signals improve decision making in receivers by influencing the speed and the accuracy of their decisions. We trained bumble-bees (Bombus impatiens) to discriminate between artificial flowers that differed either in one modality, visual (specifically, shape) or olfactory, or in two modalities, visual plus olfactory. Bees trained on multimodal flowers learned the rewarding flowers faster than those trained on flowers that differed only in the visual modality and, in extinction trials, visited the previously rewarded flowers at a higher rate than bees trained on unimodal flowers. Overall, bees showed a speed–accuracy trade-off; bees that made slower decisions achieved higher accuracy levels. Foraging on multimodal flowers did not affect the slope of the speed–accuracy relationship, but resulted in a higher intercept, indicating that multimodal signals were associated with consistently higher accuracy across range of decision speeds. Our results suggest that bees make more effective decisions when flowers signal in more than one modality, and confirm the importance of studying signal components together rather than separately.

Specialization Does Not Predict Individual Efficiency in an Ant

The ecological success of social insects is often attributed to an increase in efficiency achieved through division of labor between workers in a colony. Much research has therefore focused on the mechanism by which a division of labor is implemented, i.e., on how tasks are allocated to workers. However, the important assumption that specialists are indeed more efficient at their work than generalist individuals—the “Jack-of-all-trades is master of none” hypothesis—has rarely been tested. Here, I quantify worker efficiency, measured as work completed per time, in four different tasks in the ant Temnothorax albipennis: honey and protein foraging, collection of nest-building material, and brood transports in a colony emigration. I show that individual efficiency is not predicted by how specialized workers were on the respective task. Worker efficiency is also not consistently predicted by that workers overall activity or delay to begin the task. Even when only the workers rank relative to nestmates in the same colony was used, specialization did not predict efficiency in three out of the four tasks, and more specialized workers actually performed worse than others in the fourth task (collection of sand grains). I also show that the above relationships, as well as median individual efficiency, do not change with colony size. My results demonstrate that in an ant species without morphologically differentiated worker castes, workers may nevertheless differ in their ability to perform different tasks. Surprisingly, this variation is not utilized by the colony—worker allocation to tasks is unrelated to their ability to perform them. What, then, are the adaptive benefits of behavioral specialization, and why do workers choose tasks without regard for whether they can perform them well? We are still far from an understanding of the adaptive benefits of division of labor in social insects.

Adaptation, Genetic Drift, Pleiotropy, and History in the Evolution of Bee Foraging Behavior

Publisher Summary This chapter focuses on the following traits: flower constancy, floral color preference, learning behavior, traplining, and communication about food sources. Aristotle observed, ‘‘During each flight the bee does not settle on flowers of different kinds, but flies, as it were, from violet to violet, and touches no other till it returns to the hive’’. This phenomenon, now termed “flower constancy”, is defined as “An individual insect is flower constant if it visits only a restricted number of flower species, even if other species are available and equally rewarding, and if the insect has no innate or imprinted predisposition to visit only flowers of a restricted plant taxon, which must be confirmed by the observation that other individuals of the same insect species visit other plant species within the same array.” Comparisons between species can be more rewarding when we compare many closely related species of known phylogeny. Comparisons between populations of the same species are attractive because they reveal the patterns of adaptation among very closely related individuals operating under divergent ecological conditions. A rarely used but potentially powerful method of testing the adaptiveness of a (foraging) behavior is by testing an animals (foraging) performance under natural conditions in its native habitat and then transplanting this animal into a second animals native environment and re-testing its performance. One possible approach to studying the adaptive significance of a foraging strategy is to manipulate the environment in such a way that the foraging strategy cannot be used. In behavioral ecology, two types of models have traditionally been used to study adaptation. The chapter illustrates the value of a number of approaches taken from the toolbox of the modern evolutionary biologist, which can be used to study the adaptive nature of foraging behavior.