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20 results for “flower resources”
Data from: Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes
<p>Data underlying the publication "Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes". Site coordinates are excluded from this dataset for data protection.</p>
Floral resource availability and honeybee flower visitations in Oslo, Norway
<p>Urban green infrastructure can provide important habitats for pollinators and support urban ecosystem services. Therefore, these areas must be managed to maximize biodiversity and density of pollinating insects. We used DNA metabarcoding to study honeybee pollen resource use over time and space in the city of Oslo, Norway, and to assess the role of green infrastructure as a resource for pollinators and the services they generate. Urban honeybees used diverse pollen resources throughout their active season. There was considerable seasonal turnover in pollen resource use that reflected flowering phenology. Non-native plants (including invasive species) were an important resource early in the season but were replaced by native plants later in the season. Hive location was not strongly correlated with resource use, likely indicating effective long-distance foraging in the fragmented urban landscape. However, flower visitation rates and floral resource density in public urban green spaces were coupled with pollen use. Honeybees collected pollen from a small number of preferred species but also visited other species, likely for nectar. To preserve pollinator services, urban planning should consider flower resource management, with particular focus on planting native species that can act as early season resources for bees. Public campaigns and other incentive mechanisms to promote the cultivation of native plants that are resources for pollinators and the protection of urban semi-natural habitats have the potential to enhance the value of green infrastructure to support urban pollinators and pollination services.</p>
Resource-related variables drive individual variation in flowering phenology and mediate population-level flowering responses to climate in an asynchronously reproducing palm
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Data from: Industry needs matter – incorporating stakeholder interests in the selection of flower resources to support pollinators
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Floral resource availability and honeybee flower visitations in Oslo, Norway
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Data from: Plant traits associated with nesting resources and flower availability determine bee’s functional trait diversity in a highly diverse tropical Amazon Forest
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Data from: Crop pollination services: complementary resource use by social vs solitary bees facing crops with contrasting flower supply
<p>1. Many farmers are facing high economic risks if pollinator declines continue or temporal and spatial variation in wild bee communities cause reduced pollination services. Co-flowering crops might compete for pollinators, while they also might facilitate the delivery of pollination services. This rarely studied topic is of particular interest with respect to the foraging decisions of bees from different functional groups and when more sparsely and mass-flowering crops are in bloom at the same time.</p> <p>2. The abundance of honey bees, bumble bees and solitary bees in strawberry fields was quantified with transect walks along a gradient of oilseed rape (OSR) availability (product of OSR land cover and temporally changing OSR flower cover). We established a pollination experiment with pollination treatments (open-, wind- and self-pollination) to study the effects of insect pollination on strawberry fruit weight and quality.</p> <p>3. Changes in OSR availability exhibited contrasting effects on social versus solitary bees in strawberry fields. Bumble bees and honey bees were less abundant in strawberry fields when OSR availability was high, whereas solitary bees were facilitated. With more strawberry flowers we found more bees in general.</p> <p>4. When flowers were open-pollinated they resulted in heavier fruits with better commercial grades compared to wind-and self-pollinated flowers. A higher bee abundance enhanced the strawberry fruit weight and quality but depended on flower order and variety.</p> <p>5.<i> Synthesis and applications</i>. Sparsely flowering crops may compete with mass-flowering crops for social bee pollinators while solitary pollinators in the field might be even facilitated. To ensure best fruit weight and quality it can be beneficial to support bee abundance in the field. While some social and solitary bee species can be managed for pollination services, wild bees, in particular solitary species, should be conserved and promoted for stable crop pollination services in dynamic agricultural landscapes.</p>
Data from: Exotic flower visitors exploit large floral trait spaces resulting in asymmetric resource partitioning with native visitors
1.Exotic species often cause severe alterations in native communities due to their ability to rapidly and efficiently utilize a broad spectrum of resources. In flower-visitor interactions, the breadth of resource use by native and exotic animals as well as the partitioning of resources among them is often estimated based on the number of (shared) plant species used as resources. However, whether a flower visitor is able to exploit plant resources has been shown to be delimited by functional floral traits such as morphological barriers or attractive or repellent chemical cues. Each of the ecologically relevant traits can be viewed as a dimension of a Hutchinsonian n-dimensional hypervolume, which characterizes the range of phenotypes exploitable by a species. 2.In this study, we quantified the sizes and overlaps of n-dimensional hypervolumes defined by floral traits that are exploitable by native and exotic flower visitors (afterwards referred to as exploited space, ES). In the heavily invaded Hawai'i Volcanoes National Park, USA, we phenotyped 40 native and exotic plant species and recorded flower-visitor interactions. To quantify the size and overlap of ES, we applied dynamic range boxes (dynRB). 3.On average, exotic flower visitors were more generalized in resource use (larger ES) than natives ones, which is additionally indicated by the absence of native flower visitors on exotic flowering plant species. In particular, ES based on floral scent emission was larger for exotic flower visitors compared to native ones. The unevenly expanded ES of native and exotic animals led to an asymmetric overlap of floral ES where the exotic flower visitors shared only a small proportion of their ES with natives but occupied a large proportion of the ES of natives. 4.The asymmetry in resource use of native and exotic flower visitors suggests a potential advantage in resource exploitation of the latter, potentially explaining their success in Hawaiian ecosystems. Predicted range expansion of exotic plant and animal species may further increase the competition for and reduce the availability of resources for native animals. This may lead to further declines of native species and increasing threats for Hawaiian ecosystems.
Data from: Flower resource and land management drives hoverfly communities and bee abundance in semi-natural and agricultural grasslands
1. Pollination is a key ecosystem service, and appropriate management, particularly in agricultural systems, is essential to maintain a diversity of pollinator guilds. However, management recommendations frequently focus on maintaining plant communities, with the assumption that associated invertebrate populations will be sustained. 2. We tested whether plant community, flower resources and soil moisture would influence hoverfly (Syrphidae) abundance and species richness in floristically-rich semi-natural and floristically-impoverished agricultural grassland communities in Wales (U.K.), and compared these to two Hymenoptera genera, Bombus and Lasioglossum. Interactions between environmental variables were tested using generalised linear modelling, and hoverfly community composition examined using canonical correspondence analysis. 3. There was no difference in hoverfly abundance, species richness, or bee abundance, between grassland types. There was a positive association between hoverfly abundance, species richness and flower abundance in unimproved grasslands. However, this was not evident in agriculturally improved grassland, possibly reflecting intrinsically low flower resource in these habitats, or the presence of plant species with low or relatively inaccessible nectar resources. There was no association between soil moisture content and hoverfly abundance or species richness. 4. Hoverfly community composition was influenced by agricultural improvement and the amount of flower resource. Hoverfly species with semi-aquatic larvae were associated with both semi-natural and agricultural wet grasslands, possibly because of localised larval habitat. Despite the absence of differences in hoverfly abundance and species-richness, distinct hoverfly communities are associated with marshy grasslands, agriculturally improved marshy grasslands and unimproved dry grasslands, but not with improved dry grasslands. 5. Grassland plant community cannot be used as a proxy for pollinator community. Management of grasslands should aim to maximise the pollinator feeding resource, as well as maintain plant communities. Retaining waterlogged ground may enhance the number of hoverflies with semi-aquatic larvae.
Exploitative competition for floral resources reduces sugar intake but differently impacts the foraging behaviour of two non-bee flower visitors
<p>Identifying which behavioural strategies maximize individual fitness is a key objective in ecology. Organisms are known to adapt their foraging behaviour to their environment in response to abiotic and biotic constraints, such as the distribution of resources or the presence of competitors. For instance, bees are known to avoid recently visited flowers and thus focus their foraging on more rewarding patches. Whether other flower-visiting insects adapt their foraging behaviour in response to exploitative competition for floral resources remains unknown. Here, we asked if a predatory hoverfly (<em>Episyrphus balteatus</em>) and a parasitoid (<em>Aphidius colemani</em>) 1) are physiologically impacted by flower resource limitation following exploitation of flowers by a competitor (either the bumblebee <em>Bombus terrestris</em> or <em>E. balteatus</em>); 2) have the ability to discriminate flowers that were previously exploited by a competitor; and 3) modify their foraging behaviour accordingly. <em>Episyrphus balteatus </em>and <em>A. colemani</em> individuals foraging on previously exploited flowers were found to be less concentrated in sugar compounds, especially in fructose and glucose, suggesting that previously exploited flowers contained less available sugars. Nevertheless, individuals did not avoid previously exploited patches in the choice experiment. On the contrary, <em>E. balteatus </em>females preferentially landed on inflorescences that had previously been exploited by conspecifics (but not by <em>B. terrestris</em>), while <em>A. colemani </em>did not show preferences between inflorescences. However, female hoverflies spent more time feeding on unexploited patches, suggesting that exploited patches were resource limited. To our knowledge, this study provides the first evidence of the use of social cues among <em>E. balteatus </em>individuals in food foraging strategies. It also shows that even insects with tiny nectar requirements, such as parasitoids, can suffer from heavy exploitative competition. Such results may have applied consequences for the understanding of natural enemy conservation, in particular in agroecosystems where competition with honeybees may be important.</p>
Data from: Intersexual flower differences in an andromonoecious species: small pollen‐rich staminate flowers under resource limitation
<p>Data archived here were used for analyses in Murakami et al. "Intersexual flower differences in an andromonoecious species: small pollen‐rich staminate flowers under resource limitation." Data is in three worksheets.</p>
Aphid conservation biological control in arable crops via flower strips: the predominant role of plant resources over diversity effects
<p>Dataset and R code</p>
Crop rotation and agri-environment schemes determine bumblebee communities via flower resources
<p>The biodiversity (flower cover and bumblebees) and environmental data used in the analyses.</p>
Data from: Flower resource and land management drives hoverfly communities and bee abundance in semi-natural and agricultural grasslands
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Data from: Exotic flower visitors exploit large floral trait spaces resulting in asymmetric resource partitioning with native visitors
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Exploitative competition for floral resources reduces sugar intake but differently impacts the foraging behaviour of two non-bee flower visitors
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Why do flowers wilt? Flower wilting enables plants to salvage resources from flowers and re-use these resources for subsequent reproduction
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Data from: Crop pollination services: complementary resource use by social vs solitary bees facing crops with contrasting flower supply
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Flower flies and bee lice (myspecies): Resource (147) DwCA
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Transcriptome mapping of unfertilized flowers under high temperature unveils the regulatory network of genes during pollen/flower development and provides genomics resource in pea
GEO Series GSE286400. Lathyrus oleraceus. 4 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.