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27 results for “pollinator management.”
GPH01 Grazing management effects on pollinator communities and habitat at Konza Prairie, 2024-2025
For all data files, data were collected in Konza Prairie LTER sites: N1A, N1B, C1A, K1B, and 1D during May, July, and August in both 2024 and 2025. The goal was to investigate variation in pollinator foraging and nesting habitat and in foraging and nesting pollinator communities across grazing regimes. Details for each file follow: 1. Plant-pollinator interactions (file = pollinatorNetworks); 2. Bees collected from ground nests (file = nestingBees); 3. Floral resources observed along transects (file = floralResources); 4. Bare ground cover and vegetation height measured along transects (file = otherHabitat); 5. Soil characteristics (file = soils)
Landscape structure and farming management interacts to modulate pollination supply and crop production in blueberries
<p><span>Pollination services are affected by landscape context, farming management, and pollinator community structure, all of which impact flower visitation rates, pollen deposition and final production. We studied these processes in Argentina for Highbush Blueberry crops which depend on pollinators to produce marketable yields. </span></p> <p><span>We studied how land cover and honeybee stocking influence the abundance of wild and managed pollinators in blueberry crops, using structural equation modeling to disentangle the cascading effects through which pollinators contribute to blueberry fruit number, size, nutritional content and overall yield. </span></p> <p><span>All pollinator functional groups responded to landscape changes at a spatial scale under 1000 m, and the significance or direction of the effects were modulated by the field-level deployment of honeybee hives. </span></p> <p><span>Fruit diameter increased with pollen deposited, but decreased with honeybee abundance, which, had indirect effects on fruit acidity and sugar content. Honeybees had a positive effect on the number of fruit produced by the plants and also benefited the overall yield (kg plant</span><sup><span>-1</span></sup><span>) through independent effects on both the quality and quantity components of fruit production.</span></p> <p><span><em>Synthesis and applications:</em> </span></p> <p><span>Deployment of beehives in blueberry fields can buffer, but not compensate for the negative effects on honeybee abundance produced by surrounding large scale none-flowering crops. Such compensation would require high-quality beehives by monitoring their health and strength.</span> <span>The </span><span>contribution of honeybees to crop production is not equal across production metrics. That is, higher abundance of honeybees increases the number of berries produced, but at the cost of smaller and more acidic fruits, potentially reducing market value. Growers must consider this trade-off between fruit quantity and quality when actively managing honeybee abundance. </span></p>
Effects of different types of low-intensity management on plant-pollinator interactions in Estonian grasslands
<p>In the face of global pollinator decline, extensively-managed grasslands play an important role in supporting stable pollinator communities. However, different types of extensive management may promote particular plant species and thus particular functional traits. As the functional traits of flowering plant species (e.g. flower size and shape) in a habitat determine the identity and frequency of pollinator visitors, they can also influence the structures of plant-pollinator interaction networks. The aim of this study was to examine how the type of low-intensity traditional management influences plant and pollinator composition, the structure of plant-pollinator interactions, and their mediation by floral and insect functional traits. Specifically, we compared mown wooded meadows to grazed alvar pastures in western Estonia. We found that both management types fostered equal diversity of plants and pollinators, and overlapping, though still distinct, plant and pollinator compositions. Wooded meadows had significantly higher connectance and specialisation, while alvar pastures achieved higher Shannon diversity at a standardised sampling of interactions. Pollinators with small body sizes and short proboscis lengths were more specialised in their preference for particular plant species and the specialisation of individual pollinators was higher in alvar pastures than in wooded meadows. All in all, the two management types promoted diverse plant and pollinator communities, which enabled the development of equally even and nested pollination networks. The same generalist plants and pollinators were important for the pollination networks of both wooded meadows and alvar pastures; however, they were complemented by management-specific species, which accounted for differences in network structure. Therefore, the implementation of both management types in the same landscape helps to maintain high species and interaction diversity.</p>
Linked collectors and determiners for: Pollinating insects of restored, managed freshwater marshes in central New York, USA..
Natural history specimen data linked to collectors and determiners held within, "Pollinating insects of restored, managed freshwater marshes in central New York, USA.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2319d633-3078-45ae-99e0-b58777b12f86">https://bionomia.net/dataset/2319d633-3078-45ae-99e0-b58777b12f86</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2319d633-3078-45ae-99e0-b58777b12f86">https://gbif.org/dataset/2319d633-3078-45ae-99e0-b58777b12f86</a>. Formatted as a Frictionless Data package.
Landscape structure and farming management interacts to modulate pollination supply and crop production in blueberries
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Effects of different types of low-intensity management on plant-pollinator interactions in Estonian grasslands
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Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop
<p>Flowering crops are heavily managed during bloom to both promote pollination and prevent disease. Disease management practices can alter the floral microbiome, including pathogens and non-target microbes. However, whether agrochemical presence or altered microbiome composition affect pollinator foraging and pollination services is unclear.</p> <p>We assessed the effects of orchard management tactics and landscape context on the flower microbiome in almond, <em>Prunus dulcis</em>. Fourteen orchards (5 conventional, 4 organic, 5 conventional with habitat augmentation) were sampled at early and peak bloom to characterize bacterial and fungal communities associated with floral tissues. The surveys were complemented by an artificial flower experiment to assess the effects of fungicides and microbes on honey bee foraging. Finally, a field trial was conducted to test the effects of fungicides and microbes on pollination. </p> <p>As bloom progressed, bacterial and fungal abundance and diversity increased across all floral tissue types and management strategies. The magnitude by which microbial abundance and diversity were affected varied, with proximity to apiaries and orchard management having notable effects on bacteria and fungi, respectively.</p> <p>Experiments revealed that fungicides reduced nectar removal by honey bees; however, neither fungicide nor microbe treatments affected pollination, as measured through pollen tube initiation and growth. </p> <p><strong>Synthesis and applications</strong>: Our results reveal that microbiota associated with flowers of a pollinator-dependent crop are temporally dynamic and sensitive to management practices. However, pollination services in almonds may be resilient to both agrochemical disturbance and microbial augmentation of flowers, the latter of which may become more prominent as microbial solutions to disease management are embraced in agroecosystems.</p>
Data from: Landscape management can foster pollinator richness in fragmented high-value habitats
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Data from: Parasitism of urban bumble bees influenced by pollinator taxonomic richness, local garden management, and surrounding impervious cover
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Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop
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Data from: Identifying native plants for coordinated habitat management of arthropod pollinators, herbivores and natural enemies
1. Providing non-crop flowering resources in agricultural landscapes is widely promoted as a strategy to support arthropods that deliver pollination and pest control services. However, management options have largely been developed separately for pollinators and natural enemies, whereas possible effects on insect herbivores, such as crop pests, have often been overlooked. A first critical step for design and implementation of multifunctional plantings that promote beneficial arthropods while controlling insect pests is to identify suitable plant species to use. 2. We aimed to identify California native plants and, more generally, plant traits suitable for the coordinated management of pollinators (wild bees and honey bees), insect herbivores and arthropod natural enemies (predators and parasitic wasps). We established 43 plant species in a common garden experiment and sampled arthropods by weekly netting (wild bees), observations (honey bees) or vacuum sampling (insect herbivores, arthropod predators and parasitic wasps) during peak bloom of each plant species over two years. 3. Plant species differed in attractiveness for each arthropod functional group. Floral area of the focal plant species positively affected honey bee, predator and parasitic wasp attractiveness. Later bloom period was associated with lower numbers of parasitic wasps. Flower type (actinomorphic, composite or zygomorphic) predicted attractiveness for honey bees, which preferred actinomorphic over composite flowers and for parasitic wasps, which preferred composite flowers over actinomorphic flowers. 4. Across plant species, herbivore, predator and parasitic wasp abundances were positively correlated, and honey bee abundance correlated negatively to herbivore abundance. 5. Synthesis and applications. We use data from our common garden experiment to inform evidence-based selection of plants that support pollinators and natural enemies without enhancing potential pests. We recommend selecting plant species with a high floral area per ground area unit, as this metric predicts the abundances of several groups of beneficial arthropods. Multiple correlations between functionally important arthropod groups across plant species stress the importance of a multifunctional approach to arthropod habitat management.
Citizen science improves our understanding of the impact of soil management on wild pollinator abundance in agroecosystems
<p><span><span><span><span><span><span><span><span><span><span><span>Native bees provide essential pollination services in both natural and managed ecosystems. However, declines in native bee species highlight the need for increased understanding of land management methods that can promote healthy, persistent populations and diverse communities. This can be challenging and costly using traditional scientific methods, but citizen science can overcome many limitations. In this study, we examined the distribution and abundance of an agriculturally important wild bee species, the squash bee (<i>Eucera </i>(<i>Peponapis</i>) <i>pruinosa</i>, Hymenoptera: Apidae). They are ground nesting, specialist bees that depend on cultivated varieties of <i>Cucurbita </i>(squash, pumpkins, gourds). The intimate relationship between squash bees and their host plants suggests that they are likely sensitive to farm management practices, particularly those that disturb the soil. In this study, citizen scientists across Michigan used a smartphone application to submit field management and bee observation data. Survey results indicated that squash bees occupy a wide geographic range and are more abundant in farms with reduced soil disturbance. Citizen science provided a cheap, effective method for examining impacts of farm management practices on squash bees and could be a valuable tool for monitoring and conserving other native pollinators. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Habitat restoration promotes pollinator persistence and colonization in intensively managed agriculture
Widespread evidence of pollinator declines has led to policies supporting habitat restoration including in agricultural landscapes. Yet, little is yet known about the effectiveness of these restoration techniques for promoting stable populations and communities of pollinators, especially in intensively managed agricultural landscapes. Introducing floral resources, such as flowering hedgerows, to enhance intensively cultivated agricultural landscapes is known to increase the abundances of native insect pollinators in and around restored areas. Whether this is a result of local short-term concentration at flowers or indicative of true increases in the persistence and species richness of these communities remains unclear. It is also unknown whether this practice supports species of conservation concern (e.g., those with more specialized dietary requirements). Analyzing occupancies of native bees and syrphid flies from 330 surveys across 15 sites over eight years, we found that hedgerow restoration promotes rates of between-season persistence and colonization as compared with unrestored field edges. Enhanced persistence and colonization, in turn, led to the formation of more species-rich communities. We also find that hedgerows benefit floral resource specialists more than generalists, emphasizing the value of this restoration technique for conservation in agricultural landscapes.
Pesticide risk during commercial apple pollination is greater for honeybees than other managed and wild bees
<p>Data and code relating to the manuscript “Pesticide risk during commercial apple pollination is greater for honeybees than other managed and wild bees”</p> <p>Files are organized as follows</p> <p><strong>input</strong> - contains the main data files.</p> <ul> <li> <p>all_pesticide2019.csv – contains the pesticide residue data for all samples</p> </li> <li> <p>LD50.csv – contains pesticide LD50s in PPB</p> </li> <li> <p>ld50_per_bee.csv – contains pesticide LD50s in ug / honeybee</p> </li> <li> <p>nesting_type.csv – lists nesting types of the different bee samples</p> </li> <li> <p>pesticide_type.csv – lists pesticides by their type</p> </li> <li> <p>short_name.csv – lists short bee names</p> <p><strong>folder “gis”</strong></p> <ul> <li>hive_distance_matrix.csv – distances from each orchard to other sites</li> <li>sitelocation.csv – contains coordinates of sites</li> </ul> </li> </ul> <p><strong>code</strong> - contains the scripts to analyze the input files</p> <ul> <li>pesticide_analysis.R – is the main anaylsis for the paper</li> <li>unadjusted_pesticide_analysis.R – is a copy of most of the code above but without LD50 weight adjustements</li> </ul> <p><strong>ld50 adjust</strong> - contains the inputs and code for the ld50 adjustments I ran</p> <ul> <li>ld50_adjust.R – is the code to calculate our the adjustements</li> <li>2020_BeeTox_database_acute_contact_publication_final_R1.csv – is the data file taken from pamminger publication</li> </ul>
Effectiveness of agri-environmental management on pollinators is moderated more by ecological contrast than by landscape structure or land-use intensity
<p>Study dataset</p>
Data from: Habitat restoration promotes pollinator persistence and colonization in intensively managed agriculture
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Data from: Organic management in apple orchards: higher impacts on biological control than on pollination
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Citizen science improves our understanding of the impact of soil management on wild pollinator abundance in agroecosystems
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Data from: Managing trap-nesting bees as crop pollinators: spatiotemporal effects of floral resources and antagonists
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Data for: Effects of short-term managed honey bee deployment in a native ecosystem on wild bee foraging and plant-pollinator networks
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