Abstract:Summary1. The removal of pollen by flower-visiting insects is costly to plants, not only in terms of production, but also via lost reproductive potential. Modern angiosperms have evolved various reward strategies to limit these costs, yet many plant species still offer pollen as a sole or major reward for pollinating insects. 2. The benefits plants gain by offering pollen as a reward for pollinating are defined by the behaviour of their pollinators, some of which feed on the pollen at the flower, while others … Show more
“…However, bees foraged much more vigorously within flowers for pollen than for nectar (A. Russell, personal observation), likely explaining differences in dispersal. Thus, additional to the cost of offering their gametes (pollen) as a reward (Hargreaves et al 2009, Nicholls andHempel de Ibarra 2016), our results suggest that flowering plants offering mainly pollen to pollinators may typically ❖ www.esajournals.org contend with more (or more diverse) epiphytic microbes than plants that offer mainly nectar. Consistent with this, for several dioecious species, male flowers had more (or more diverse) microbes than female flowers (which have no pollen to offer to pollinators; Tsuji andFukami 2018, Wei andAshman 2018).…”
Dispersal is central to the ecology and evolution of spatially structured communities. While flower microbial communities are spatially structured among floral organs, how dispersal vectors distribute microbes among floral organs is unknown. Pollinators are recognized as key microbial vectors, but effects of their different foraging behaviors on transfer dynamics among flowers or different floral organs are not known. We asked how foraging behaviors of a model pollinator (Bombus impatiens) affect acquisition and dispersal of microbes among flower organs. We used monkeyflowers (Mimulus guttatus) to examine dispersal within a natural context and artificial flowers to test how common bee foraging behaviors (nectaring, buzzing, or scrabbling) shaped dispersal of a green fluorescent protein‐labeled bacteria, Pseudomonas fluorescens. Bees acquired 1% of a flower's microbes and dispersed 31% of acquired microbes to the next flower. All bees acquired microbes, and 85% and 76% of bees dispersed microbes to live and artificial flowers, respectively. Microbes acquired from the corolla were mainly deposited on the corolla, followed by the stamens, and least on the nectary/pistil. Bee foraging behavior affected acquisition, with scrabbling for pollen resulting in 23% more microbes acquired than nectaring, and with buzzing for pollen resulting in a 79% slower rate of microbial acquisition relative to scrabbling. Bee foraging behavior also affected deposition but depended on the floral organ: Scrabbling and buzzing for pollen led to greater deposition than nectaring for corolla and stamen but not nectary. Our results have implications for transmission of beneficial and pathogenic microbes among plants and pollinators, and thus the ecology and evolution of floral microbial communities.
“…However, bees foraged much more vigorously within flowers for pollen than for nectar (A. Russell, personal observation), likely explaining differences in dispersal. Thus, additional to the cost of offering their gametes (pollen) as a reward (Hargreaves et al 2009, Nicholls andHempel de Ibarra 2016), our results suggest that flowering plants offering mainly pollen to pollinators may typically ❖ www.esajournals.org contend with more (or more diverse) epiphytic microbes than plants that offer mainly nectar. Consistent with this, for several dioecious species, male flowers had more (or more diverse) microbes than female flowers (which have no pollen to offer to pollinators; Tsuji andFukami 2018, Wei andAshman 2018).…”
Dispersal is central to the ecology and evolution of spatially structured communities. While flower microbial communities are spatially structured among floral organs, how dispersal vectors distribute microbes among floral organs is unknown. Pollinators are recognized as key microbial vectors, but effects of their different foraging behaviors on transfer dynamics among flowers or different floral organs are not known. We asked how foraging behaviors of a model pollinator (Bombus impatiens) affect acquisition and dispersal of microbes among flower organs. We used monkeyflowers (Mimulus guttatus) to examine dispersal within a natural context and artificial flowers to test how common bee foraging behaviors (nectaring, buzzing, or scrabbling) shaped dispersal of a green fluorescent protein‐labeled bacteria, Pseudomonas fluorescens. Bees acquired 1% of a flower's microbes and dispersed 31% of acquired microbes to the next flower. All bees acquired microbes, and 85% and 76% of bees dispersed microbes to live and artificial flowers, respectively. Microbes acquired from the corolla were mainly deposited on the corolla, followed by the stamens, and least on the nectary/pistil. Bee foraging behavior affected acquisition, with scrabbling for pollen resulting in 23% more microbes acquired than nectaring, and with buzzing for pollen resulting in a 79% slower rate of microbial acquisition relative to scrabbling. Bee foraging behavior also affected deposition but depended on the floral organ: Scrabbling and buzzing for pollen led to greater deposition than nectaring for corolla and stamen but not nectary. Our results have implications for transmission of beneficial and pathogenic microbes among plants and pollinators, and thus the ecology and evolution of floral microbial communities.
“…Bees probably also use appetitive learning in response to pollen guides, analogous to the role of learning in nectar guide use (Leonard and Papaj 2011), as well as other floral features such as color, pattern and scent. However, studies on instrumental and appetitive learning in pollen foraging are rare, compared to studies of these processes in nectar foraging (Muth et al 2015;Muth et al 2016;Nicholls and Hempel de Ibarra 2016;Russell, Golden, et al 2016;.…”
Bees foraging for floral rewards are one of our most thoroughly studied examples of generalist foraging ecology. Generalist bees rely considerably on instrumental (associative) learning to acquire routines that allow them to collect nectar efficiently from diverse plant species. Although such bees must also collect pollen from diverse species, few studies have examined if and how high efficiency is achieved. We characterized how generalist bumble bees (Bombus impatiens) foraged effectively for pollen from diverse floral resources, by manipulating the presence of pollen and anther cues, in a series of experiments using pollen-bearing live flowers, flowers of a sterile pollenless horticultural hybrid, and artificial flowers. We show that generalist bumble bees exhibit flexible and effective pollen collection by switching between 2 routines: "scrabbling" when pollen is abundant and "sonicating" when pollen is scarce. Efficient switching between these behaviors is regulated by the interplay of 2 ubiquitous floral cues: chemical anther cues stimulating pollen collection behavior and mechanical pollen cues suppressing sonication (and eliciting scrabbling). Flexible pollen collection behavior is functional: When pollen on anthers was scarce, bees collected it at a greater rate by sonicating than scrabbling. This mechanism of behavioral flexibility likely allows generalist bees to handle diverse anther morphologies efficiently and may have facilitated the recurrent evolution of plant species that conceal pollen rewards via pored floral morphology. Whereas effective nectar foraging relies heavily on associative learning of unique routines for each flower type, a weighing of 2 types of cues regulates the flexible pollen collection mechanism we describe.
“…Or, which is roughly the same, explicit decisionists argue that X is adequately, correctly, or profitably understood and represented using decision/choice concepts; these concepts apply to X . For example, a decisionist tells you how bees “decide which patches of flowers to visit” and “decide whether to dance,” whereas an explicit decisionist tells you why there's nothing wrong with speaking of bees' decisions (Nicholls & de Ibarra, , p. 82; Zhang, Si, & Pahl, , p. 1). A decisionist about morality talks about trolley problems in her presentations, books, and blog posts; an explicit moral decisionist argues that trolley problems are key devices and get to the core of ethics .…”
Decisionists use decision/choice concepts to understand and represent X: bees, Deep Blue, and Ron Carter make decisions. Explicit decisionists argue that X should be understood and represented using decision/choice concepts: it's correct to speak of bees', computers', and jazz improvisers' decision‐making. Explicit anti‐decisionists disagree: bees, computers, jazz improvisers, algorithms, and drug addicts aren't correctly understood and represented as decision‐makers. Sociologists look at decisionism and explicit decisionism as social phenomena, which show up in discourses, practices, technologies, and organizations. I make a contribution to the sociology of decisionism and the sociology of morality by examining three kinds of explicit moral anti‐decisionism: Murdochian, sociological/structural, and Confucian/Daoist. I show why these discontents are discontent, what theories and evidence they draw on, what assumptions they make, and how they conceive of morality without decision/choice concepts. Then, I consider how moral anti‐decisionism might matter, how the sociology of decisionism might matter, and where to go from here (if anywhere).
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