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Ma C, Gu G, Chen S, Shi X, Li Z, Li-Byarlay H, Bai L. Impact of chronic exposure to field level glyphosate on the food consumption, survival, gene expression, gut microbiota, and metabolomic profiles of honeybees. ENVIRONMENTAL RESEARCH 2024; 250:118509. [PMID: 38408628 DOI: 10.1016/j.envres.2024.118509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/25/2024] [Accepted: 02/15/2024] [Indexed: 02/28/2024]
Abstract
Glyphosate (GLY) is among the most widely used pesticides in the world. However, there are a lot of unknowns about chronic exposure to GLY's effects on Honeybee (HB) behavior and physiology. To address this, we carried out five experiments to study the impact of chronic exposure to 5 mg/kg GLY on sugar consumption, survival, gene expression, gut microbiota, and metabolites of HB workers. Our results find a significant decrease in sugar consumption and survival probability of HB after chronic exposure to GLY. Further, genes associated with immune response, energy metabolism, and longevity were conspicuously altered. In addition, a total of seven metabolites were found to be differentially expressed in the metabolomic profiles, mainly related the sucrose metabolism. There was no significant difference in the gut microbiota. Results suggest that chronic exposure to field-level GLY altered the health of HB and the intricate toxic mechanisms. Our data provided insights into the chronic effects of GLY on HB behavior in food intake and health, which represents the field conditions where HB are exposed to pesticides over extended periods.
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Affiliation(s)
- Changsheng Ma
- Longping Branch Graduate School, College of Biology, Hunan University, Changsha 410125, China; Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Gaoying Gu
- Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Science, Kunming, Yunnan Province 650223, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sihao Chen
- Department of Earth, Ocean and Ecological Sciences, School of Environmental Sciences, University of Liverpool, Liverpool L69 3BX, UK; Department of Health and Environmental Sciences, Xi'an-Jiaotong Liverpool University, Suzhou 215123, China
| | - Xiaoyu Shi
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zuren Li
- Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
| | - Hongmei Li-Byarlay
- Agricultural Research and Development Program, Central State University, Wilberforce, OH 45384, USA.
| | - Lianyang Bai
- Longping Branch Graduate School, College of Biology, Hunan University, Changsha 410125, China; Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
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2
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Ma C, Shi X, Chen S, Han J, Bai H, Li Z, Li-Byarlay H, Bai L. Combined pesticides in field doses weaken honey bee (Apis cerana F.) flight ability and analyses of transcriptomics and metabolomics. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2024; 201:105793. [PMID: 38685207 DOI: 10.1016/j.pestbp.2024.105793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/07/2024] [Accepted: 01/15/2024] [Indexed: 05/02/2024]
Abstract
Imidacloprid, chlorpyrifos, and glyphosate rank among the most extensively employed pesticides worldwide. The effects of these pesticides and their combined on the flight capability of Apis cerana, and the potential underlying mechanisms remain uncertain. To investigate these effects, we carried out flight mill, transcriptome, and metabolome experiments. Our findings reveal that individual acute oral treatments with pesticides, specifically 20 μL of 10 ng/g imidacloprid (0.2 ng per bee), 30 ng/g chlorpyrifos (0.6 ng per bee), and 60 ng/g glyphosate (1.2 ng per bee), did not impact the flight capability of the bees. However, when bees were exposed to a combination of two or three pesticides, a notable reduction in flight duration and distance was observed. In the transcriptomic and metabolomic analyses, we identified 307 transcripts and 17 metabolites that exhibited differential expression following exposure to combined pesticides, primarily associated with metabolic pathways involved in energy regulation. Our results illuminate the intricate effects and potential hazards posed by combined pesticide exposures on bee behavior. These findings offer valuable insights into the synergistic potential of pesticide combinations and their capacity to impair bee behavior. Understanding these complex interactions is essential for comprehending the broader consequences of pesticide formulations on honey bee populations.
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Affiliation(s)
- Changsheng Ma
- Longping Branch Graduate School, College of Biology, Hunan University, Changsha 410125, China; Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Xiaoyu Shi
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Sihao Chen
- University of Liverpool, Department of Earth, Ocean and Ecological Sciences, School of Environmental Sciences, Liverpool L69 3BX, UK; Department of Health and Environmental Sciences, Xi'an-Jiaotong Liverpool University, Suzhou 215123, China
| | - Jincai Han
- Longping Branch Graduate School, College of Biology, Hunan University, Changsha 410125, China; Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Haodong Bai
- Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Zuren Li
- Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
| | - Hongmei Li-Byarlay
- Agriculture Research and Development Program, Central State University, Wilberforce OH, 45384, USA.
| | - Lianyang Bai
- Longping Branch Graduate School, College of Biology, Hunan University, Changsha 410125, China; Key laboratory of Pesticide Assessment, Ministry of Agriculture and Rural Affairs, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
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3
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Farias RA, Nunes CN, Quináia SP. Bees reflect better on their ecosystem health than their products. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:79617-79626. [PMID: 37322397 DOI: 10.1007/s11356-023-28141-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 06/02/2023] [Indexed: 06/17/2023]
Abstract
Beehives constitute a source of environmental contaminants because forager bees explore their habitat and unintentionally accumulate them while foraging for food. Therefore, this review paper investigated different bee species and products from 55 countries to identify how they can help environmental biomonitoring by giving an overview of the past 11 years. Thereby is presented in this study the beehive's use as a bioindicator for metals, analytical techniques, data analysis, environmental compartments, common inorganic contaminants, reference thresholds for some metal concentrations in bees and honey, and other factors over more than 100 references. Most authors agree that the honey bee is a suitable bioindicator to assess toxic metal contamination, and among its products, propolis, pollen, and beeswax are more suited than honey. However, in some situations, when comparing bees with their products, bees are more efficient as potential environmental biomonitors. Some factors such as the colony location, floral sources, regional effects, and activities surrounding the apiary influence the bees, and the composition of their products is reflected by alterations in their chemical profile, making them suitable bioindicators.
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Affiliation(s)
- Renata Almeida Farias
- Universidade Estadual do Centro-Oeste, UNICENTRO, Alameda Elio Antônio Dalla Vecchia, 838, CEP 85040-167 - Vila Carli, Guarapuava, PR, Brazil.
| | - Chalder Nogueira Nunes
- Universidade Estadual do Centro-Oeste, UNICENTRO, Alameda Elio Antônio Dalla Vecchia, 838, CEP 85040-167 - Vila Carli, Guarapuava, PR, Brazil
| | - Sueli Pércio Quináia
- Universidade Estadual do Centro-Oeste, UNICENTRO, Alameda Elio Antônio Dalla Vecchia, 838, CEP 85040-167 - Vila Carli, Guarapuava, PR, Brazil
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4
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Shackleton K, Balfour NJ, Al Toufailia H, James E, Ratnieks FL. Honey bee waggle dances facilitate shorter foraging distances and increased foraging aggregation. Anim Behav 2023. [DOI: 10.1016/j.anbehav.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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5
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Prestby TJ, Robinson AC, McLaughlin D, Dudas PM, Grozinger CM. Characterizing user needs for Beescape: A spatial decision support tool focused on pollinator health. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116416. [PMID: 36244287 DOI: 10.1016/j.jenvman.2022.116416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/30/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
Interactive maps can serve as powerful environmental decision-support tools. However, designing an interactive map that meets the needs of diverse constituencies is a challenge. In this article, we evaluate and characterize user needs for an interactive map and spatial decision-support tool called Beescape. Beescape is designed to visualize resources and environmental risks to bees and other pollinators (such as availability of nutritional resources from flowering plants and exposure to pesticides) in order to help users make informed decisions about managing bee populations and associated landscapes. We conducted a needs assessment workshop with twenty stakeholders from four user groups including beekeepers, growers, conservationists, and pollinator scientists to elicit their knowledge to guide future Beescape development. The results of the workshop identify current analytical gaps with the existing Beescape prototype, including the need for predictive and historical tools, more actionable data layers, finer-grain spatial data, and better explanations on what data represent and how they were created. Our findings on user's analytical, informational, and interface needs can be utilized to guide the future development of spatial decision support tools like Beescape, and our methodological approach may apply to other environmental informatics tools where it is important to design for multiple constituent user groups.
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Affiliation(s)
- Timothy J Prestby
- The Pennsylvania State University, Department of Geography, Walker Building, 302 N Burrowes Street, University Park, PA, 16802, USA.
| | - Anthony C Robinson
- The Pennsylvania State University, Department of Geography, Walker Building, 302 N Burrowes Street, University Park, PA, 16802, USA.
| | - Dave McLaughlin
- The Pennsylvania State University, Center for Immersive Experiences, 401 Old Main, University Park, PA, 16802, USA.
| | - Patrick M Dudas
- The Pennsylvania State University, Center for Immersive Experiences, 401 Old Main, University Park, PA, 16802, USA.
| | - Christina M Grozinger
- The Pennsylvania State University, Department of Entomology, 501 ASI Building, University Park, PA, 16802, USA.
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6
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Biology, Genetic Diversity, and Conservation of Wild Bees in Tree Fruit Orchards. BIOLOGY 2022; 12:biology12010031. [PMID: 36671724 PMCID: PMC9854918 DOI: 10.3390/biology12010031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/30/2022] [Accepted: 12/08/2022] [Indexed: 12/29/2022]
Abstract
Different species of bees provide essential ecosystem services by pollinating various agricultural crops, including tree fruits. Many fruits and nuts depend on insect pollination, primarily by wild and managed bees. In different geographical regions where orchard crops are grown, fruit growers rely on wild bees in the farmscape and use orchard bees as alternative pollinators. Orchard crops such as apples, pears, plums, apricots, etc., are mass-flowering crops and attract many different bee species during their bloom period. Many bee species found in orchards emerge from overwintering as the fruit trees start flowering in spring, and the active duration of these bees aligns very closely with the blooming time of fruit trees. In addition, most of the bees in orchards are short-range foragers and tend to stay close to the fruit crops. However, the importance of orchard bee communities is not well understood, and many challenges in maintaining their populations remain. This comprehensive review paper summarizes the different types of bees commonly found in tree fruit orchards in the fruit-growing regions of the United States, their bio-ecology, and genetic diversity. Additionally, recommendations for the management of orchard bees, different strategies for protecting them from multiple stressors, and providing suitable on-farm nesting and floral resource habitats for propagation and conservation are discussed.
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7
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Steele TN, Schürch R, Ohlinger BD, Couvillon MJ. Apple orchards feed honey bees during, but even more so after, bloom. Ecosphere 2022. [DOI: 10.1002/ecs2.4228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
| | - Roger Schürch
- Department of Entomology Virginia Tech Blacksburg Virginia USA
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8
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Silliman MR, Schürch R, Malone S, Taylor SV, Couvillon MJ. Row crop fields provide mid‐summer forage for honey bees. Ecol Evol 2022; 12:e8979. [PMID: 35784068 PMCID: PMC9170536 DOI: 10.1002/ece3.8979] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/19/2022] [Indexed: 11/15/2022] Open
Abstract
Honey bees provide invaluable economic and ecological services while simultaneously facing stressors that may compromise their health. For example, agricultural landscapes, such as a row crop system, are necessary for our food production, but they may cause poor nutrition in bees from a lack of available nectar and pollen. Here, we investigated the foraging dynamics of honey bees in a row crop environment. We decoded, mapped, and analyzed 3459 waggle dances, which communicate the location of where bees collected food, for two full foraging seasons (April–October, 2018–2019). We found that bees recruited nestmates mostly locally (<2 km) throughout the season. The shortest communicated median distances (0.474 and 0.310 km), indicating abundant food availability, occurred in July in both years, which was when our row crops were in full bloom. We determined, by plotting and analyzing the communicated locations, that almost half of the mid‐summer recruitment was to row crops, with 37% (2018) and 50% (2019) of honey bee dances indicating these fields. Peanut was the most attractive in July, followed by corn and cotton but not soybean. Overall, row crop fields are indicated by a surprisingly large proportion of recruitment dances, suggesting that similar agricultural landscapes may also provide mid‐summer foraging opportunities for honey bees.
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Affiliation(s)
- Mary R. Silliman
- Department of Entomology (MC0319) Virginia Tech Blacksburg Virginia USA
| | - Roger Schürch
- Department of Entomology (MC0319) Virginia Tech Blacksburg Virginia USA
| | - Sean Malone
- Tidewater Agricultural Research and Extension Center Virginia Tech Suffolk Virginia USA
| | - Sally V. Taylor
- Tidewater Agricultural Research and Extension Center Virginia Tech Suffolk Virginia USA
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9
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Baden-Böhm F, Thiele J, Dauber J. Response of honeybee colony size to flower strips in agricultural landscapes depends on areal proportion, spatial distribution and plant composition. Basic Appl Ecol 2022. [DOI: 10.1016/j.baae.2022.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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Samuelson AE, Schürch R, Leadbeater E. Dancing bees evaluate central urban forage resources as superior to agricultural land. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.14011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ash E. Samuelson
- Department of Biological Sciences Royal Holloway University of London Egham UK
| | - Roger Schürch
- Department of Entomology Virginia Tech Blacksburg VA USA
| | - Ellouise Leadbeater
- Department of Biological Sciences Royal Holloway University of London Egham UK
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11
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Robinson AC, Peeler JL, Prestby T, Goslee SC, Anton K, Grozinger CM. Beescape: Characterizing user needs for environmental decision support in beekeeping. ECOL INFORM 2021. [DOI: 10.1016/j.ecoinf.2021.101366] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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12
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Mallinger R, Ternest JJ, Naranjo SM. Blueberry Yields Increase With Bee Visitation Rates, but Bee Visitation Rates are not Consistently Predicted by Colony Stocking Densities. JOURNAL OF ECONOMIC ENTOMOLOGY 2021; 114:1441-1451. [PMID: 34106276 DOI: 10.1093/jee/toab111] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Indexed: 06/12/2023]
Abstract
Pollinator-dependent crops rely on the activity of managed and wild pollinators. While farm management and surrounding landscape can influence wild pollinator contributions, managed pollinator contributions may be primarily driven by their stocking densities, though this is not well studied across crops. We selected 20 southern highbush blueberry farms along two independent gradients of honey bee Apis mellifera L. (Hymenoptera: Apidae) stocking density (~1-11 hives/acre) and bumble bee Bombus impatiens Cresson (Hymenoptera: Apidae) stocking density (0 - 3 colonies/acre) ensuring that stocking densities were not correlated with farm or landscape attributes. Across farms, we observed managed and wild bee visitation rates, and measured yield estimates. Farms with greater bumble bee stocking densities had higher bumble bee visitation rates and yield estimates, but farms with higher honey bee stocking densities only received higher honey bee visitation rates at the end of bloom and did not have higher yield estimates. The main wild pollinator, the southeastern blueberry bee Habropoda laboriosa (Fabricius) (Hymenoptera: Apidae), showed higher visitation rates on organic farms and in late bloom. In general, higher visitation rates by honey bees, bumble bees, and H. laboriosa were correlated with higher yields. Our results suggest that yields are limited by bee visitation rates, and that within the stocking density ranges studied, increasing managed bumble bees, but not honey bees, increases their visitation rates. While H. laboriosa had the greatest effect on yield estimates, its activity appears to be limited by both a phenological mismatch with crop bloom and farm management.
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Affiliation(s)
- Rachel Mallinger
- Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
| | - John J Ternest
- Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
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13
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Sheehan MJ, Miller SE. The promises and challenges of archiving insect behavior and natural history in a changing world. CURRENT OPINION IN INSECT SCIENCE 2021; 45:115-120. [PMID: 33857642 PMCID: PMC8316380 DOI: 10.1016/j.cois.2021.03.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 03/21/2021] [Accepted: 03/29/2021] [Indexed: 06/12/2023]
Abstract
Insect behavioral ecologists are not routinely archiving their behavioral media files and natural history observations. This is especially problematic because most behaviors are not preserved by the physical specimens stored in typical natural history collections. Improving the reporting and archiving of insect behavior and natural history data holds the promise of allowing scientists to track real-time responses of animals to global change and will preserve aspects of natural history that might otherwise be lost due to extinctions. Here we argue that behavioral ecologists should work to preserve and archive raw media files and field notes related to behavior and natural history of their study organisms. One major mechanism to incentivize archiving of such data would be for journals to develop policies for archiving of natural history data that is the focus of the paper or ancillary information collected about study subjects. Buy in from researchers, journals, and funding agencies will be needed to make substantial changes in data archiving.
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Affiliation(s)
- Michael J Sheehan
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, United States.
| | - Sara E Miller
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, United States
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14
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Kohl PL, Rutschmann B. Honey bees communicate distance via non-linear waggle duration functions. PeerJ 2021; 9:e11187. [PMID: 33868825 PMCID: PMC8029670 DOI: 10.7717/peerj.11187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/09/2021] [Indexed: 11/21/2022] Open
Abstract
Honey bees (genus Apis) can communicate the approximate location of a resource to their nestmates via the waggle dance. The distance to a goal is encoded by the duration of the waggle phase of the dance, but the precise shape of this distance-duration relationship is ambiguous: earlier studies (before the 1990s) proposed that it is non-linear, with the increase in waggle duration flattening with distance, while more recent studies suggested that it follows a simple linear function (i.e. a straight line). Strikingly, authors of earlier studies trained bees to much longer distances than authors of more recent studies, but unfortunately they usually measured the duration of dance circuits (waggle phase plus return phase of the dance), which is only a correlate of the bees’ distance signal. We trained honey bees (A. mellifera carnica) to visit sugar feeders over a relatively long array of distances between 0.1 and 1.7 km from the hive and measured the duration of both the waggle phase and the return phase of their dances from video recordings. The distance-related increase in waggle duration was better described by a non-linear model with a decreasing slope than by a simple linear model. The relationship was equally well captured by a model with two linear segments separated at a “break-point” at 1 km distance. In turn, the relationship between return phase duration and distance was sufficiently well described by a simple linear model. The data suggest that honey bees process flight distance differently before and beyond a certain threshold distance. While the physiological and evolutionary causes of this behavior remain to be explored, our results can be applied to improve the estimation of honey bee foraging distances based on the decoding of waggle dances.
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Affiliation(s)
- Patrick L Kohl
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
| | - Benjamin Rutschmann
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
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15
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Honey robbing causes coordinated changes in foraging and nest defence in the honey bee, Apis mellifera. Anim Behav 2021. [DOI: 10.1016/j.anbehav.2020.12.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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16
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Meeus I, Parmentier L, Pisman M, de Graaf DC, Smagghe G. Reduced nest development of reared Bombus terrestris within apiary dense human-modified landscapes. Sci Rep 2021; 11:3755. [PMID: 33580131 PMCID: PMC7881143 DOI: 10.1038/s41598-021-82540-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 01/05/2021] [Indexed: 11/24/2022] Open
Abstract
Wild bees are in decline on a local to global scale. The presence of managed honey bees can lead to competition for resources with wild bee species, which has not been investigated so far for human-modified landscapes. In this study we assess if managed honey bee hive density influence nest development (biomass) of bumble bees, an important trait affecting fitness. We hypothesize that domesticated honey bees can negatively affect Bombus terrestris nest development in human-modified landscapes. In Flanders, Belgium, where such landscapes are dominantly present, we selected 11 locations with landscape metrics ranging from urban to agricultural. The bee hive locations were mapped and each location contained one apiary dense (AD) and one apiary sparse (AS) study site (mean density of 7.6 ± 5.7 managed honey bee hives per km2 in AD sites). We assessed the effect of apiary density on the reproduction of reared B. terrestris nests. Reared B. terrestris nests had more biomass increase over 8 weeks in apiary sparse (AS) sites compared to nests located in apiary dense (AD) sites. This effect was mainly visible in urban locations, where nest in AS sites have 99.25 ± 60.99 g more biomass increase compared to nest in urban AD sites. Additionally, we found that managed bumble bee nests had higher biomass increase in urban locations. We conclude that the density of bee hives is a factor to consider in regard to interspecific competition between domesticated honey bees and bumble bees.
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Affiliation(s)
- Ivan Meeus
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
| | - Laurian Parmentier
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
| | - Matti Pisman
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium
| | - Dirk C de Graaf
- Laboratory of Molecular Entomology and Bee Pathology, Faculty of Sciences, Ghent University, Krijgslaan 281, S2, 9000, Ghent, Belgium
| | - Guy Smagghe
- Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000, Ghent, Belgium
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17
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Carr-Markell MK, Spivak M. External validation of the new calibration for mapping honey bee waggle dances. Anim Behav 2021. [DOI: 10.1016/j.anbehav.2020.12.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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18
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Jones L, Brennan GL, Lowe A, Creer S, Ford CR, de Vere N. Shifts in honeybee foraging reveal historical changes in floral resources. Commun Biol 2021; 4:37. [PMID: 33446796 PMCID: PMC7809426 DOI: 10.1038/s42003-020-01562-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 12/03/2020] [Indexed: 11/17/2022] Open
Abstract
Decreasing floral resources as a result of habitat loss is one of the key factors in the decline of pollinating insects worldwide. Understanding which plants pollinators use is vital to inform the provision of appropriate floral resources to help prevent pollinator loss. Using a globally important pollinator, the honeybee, we show how changes in agricultural intensification, crop use and the spread of invasive species, have altered the nectar and pollen sources available in the UK. Using DNA metabarcoding, we analysed 441 honey samples from 2017 and compared these to a nationwide survey of honey samples from 1952. We reveal that shifts in major plants foraged by honeybees are driven by changes in the availability of these plants within the landscape. Improved grasslands are the most widespread habitat type in the UK, and management changes within this habitat have the greatest potential to increase floral resource availability.
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Affiliation(s)
- Laura Jones
- National Botanic Garden of Wales, Llanarthne, SA32 8HG, UK
- MEFGL, School of Natural Sciences, Bangor University, Bangor, LL57 2UW, UK
| | - Georgina L Brennan
- Centre for Environmental and Climate Research / Aquatic Ecology, Lund University, 223 62, Lund, Sweden
| | - Abigail Lowe
- National Botanic Garden of Wales, Llanarthne, SA32 8HG, UK
- MEFGL, School of Natural Sciences, Bangor University, Bangor, LL57 2UW, UK
| | - Simon Creer
- MEFGL, School of Natural Sciences, Bangor University, Bangor, LL57 2UW, UK
| | - Col R Ford
- National Botanic Garden of Wales, Llanarthne, SA32 8HG, UK
| | - Natasha de Vere
- National Botanic Garden of Wales, Llanarthne, SA32 8HG, UK.
- IBERS, Aberystwyth University, Aberystwyth, SY23 3FL, UK.
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Zhang G, St. Clair AL, Dolezal AG, Toth AL, O’Neal ME. North American Prairie Is a Source of Pollen for Managed Honey Bees (Hymenoptera: Apidae). JOURNAL OF INSECT SCIENCE (ONLINE) 2021; 21:6147288. [PMID: 33620484 PMCID: PMC7901588 DOI: 10.1093/jisesa/ieab001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Indexed: 05/08/2023]
Abstract
Prairie was a dominant habitat within large portions of North America before European settlement. Conversion of prairies to farmland resulted in the loss of a large proportion of native floral resources, contributing to the decline of native pollinator populations. Efforts to reconstruct prairie could provide honey bees (Apis mellifera) a source of much-needed forage, especially in regions dominated by crop production. To what extent honey bees, which were introduced to North America by European settlers, use plants native to prairies is unclear. We placed colonies with pollen traps within reconstructed prairies in central Iowa to determine which and how much pollen is collected from prairie plants. Honey bee colonies collected more pollen from nonnative than native plants during June and July. During August and September, honey bee colonies collected more pollen from plants native to prairies. Our results suggest that honey bees' use of native prairie plants may depend upon the seasonality of both native and nonnative plants present in the landscape. This finding may be useful for addressing the nutritional health of honey bees, as colonies in this region frequently suffer from a dearth of forage contributing to colony declines during August and September when crops and weedy plants cease blooming. These results suggest that prairie can be a significant source of forage for honey bees in the later part of the growing season in the Midwestern United States; we discuss this insight in the context of honey bee health and biodiversity conservation.
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Affiliation(s)
- Ge Zhang
- Department of Entomology, Iowa State University, Ames, IA, USA
| | - Ashley L St. Clair
- Department of Entomology, Iowa State University, Ames, IA, USA
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Adam G Dolezal
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Amy L Toth
- Department of Entomology, Iowa State University, Ames, IA, USA
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Matthew E O’Neal
- Department of Entomology, Iowa State University, Ames, IA, USA
- Corresponding author,
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20
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Kobayashi N, Okada R, Sakura M. Orientation to polarized light in tethered flying honeybees. J Exp Biol 2020; 223:jeb228254. [PMID: 33106299 DOI: 10.1242/jeb.228254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 10/16/2020] [Indexed: 11/20/2022]
Abstract
Many insects exploit the partial plane polarization of skylight for visual compass orientation and/or navigation. In the present study, using a tethering system, we investigated how flying bees respond to polarized light stimuli. The behavioral responses of honeybees (Apis mellifera) to a zenithal polarized light stimulus were observed using a tethered animal in a flight simulator. Flight direction of the bee was recorded by monitoring the horizontal movement of its abdomen, which was strongly anti-correlated with its torque. When the e-vector orientation of the polarized light was rotated clockwise or counterclockwise, the bee responded with periodic right-and-left abdominal movements; however, the bee did not show any clear periodic movement under the static e-vector or depolarized stimulus. The steering frequency of the bee was well coordinated with the e-vector rotation frequency of the stimulus, indicating that the flying bee oriented itself to a certain e-vector orientation, i.e. exhibited polarotaxis. The percentage of bees exhibiting clear polarotaxis was much smaller under the fast stimulus (3.6 deg s-1) compared with that under a slow stimulus (0.9 or 1.8 deg s-1). Bees did not demonstrate any polarotactic behavior after the dorsal rim area of the eyes, which mediates insect polarization vision in general, was bilaterally covered with black paint. Preferred e-vector orientations under the clockwise stimulus varied among individuals and distributed throughout -90 to 90 deg. Some bees showed similar preferred e-vector orientations for clockwise and counterclockwise stimuli whereas others did not. Our results strongly suggest that flying honeybees utilize the e-vector information from the skylight to deduce their heading orientation for navigation.
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Affiliation(s)
- Norihiro Kobayashi
- Department of Biology, Graduate School of Science, Kobe University, Rokkodai 1-1, Nada-ku, Kobe, Hyogo 657-8501, Japan
| | - Ryuichi Okada
- Department of Biology, Graduate School of Science, Kobe University, Rokkodai 1-1, Nada-ku, Kobe, Hyogo 657-8501, Japan
- School of Human Science and Environment, University of Hyogo, 1-1-12 Shinzaike-Honcho, Himeji, Hyogo 670-0092, Japan
| | - Midori Sakura
- Department of Biology, Graduate School of Science, Kobe University, Rokkodai 1-1, Nada-ku, Kobe, Hyogo 657-8501, Japan
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21
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Richardson RT, Eaton TD, Lin CH, Cherry G, Johnson RM, Sponsler DB. Application of plant metabarcoding to identify diverse honeybee pollen forage along an urban-agricultural gradient. Mol Ecol 2020; 30:310-323. [PMID: 33098151 DOI: 10.1111/mec.15704] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 01/10/2023]
Abstract
Understanding animal foraging ecology requires large sample sizes spanning broad environmental and temporal gradients. For pollinators, this has been hampered by the laborious nature of morphologically identifying pollen. Identifying pollen from urban environments is particularly difficult due to the presence of diverse ornamental species associated with consumer horticulture. Metagenetic pollen analysis represents a potential solution to this issue. Building upon prior laboratory and bioinformatic methods, we applied quantitative multilocus metabarcoding to characterize the foraging ecology of honeybee colonies situated in urban, suburban, mixed suburban-agricultural and rural agricultural sites in central Ohio, USA. In cross-validating a subset of our metabarcoding results using microscopic palynology, we find strong concordance between the molecular and microscopic methods. Our results suggest that forage from the agricultural site exhibited decreased taxonomic diversity and temporal turnover relative to the urban and suburban sites, though the generalization of this observation will require replication across additional sites and cities. Our work demonstrates the power of honeybees as environmental samplers of floral community composition at large spatial scales, aiding in the distinction of taxa characteristically associated with urban or agricultural land use from those distributed ubiquitously across the sampled landscapes. Observed patterns of high forage diversity and compositional turnover in our more urban sites are likely reflective of the fine-grain heterogeneity and high beta diversity of urban floral landscapes at the scale of honeybee foraging. This provides guidance for future studies investigating how relationships between urbanization and measures of pollinator health are mediated by variation in floral resource dynamics across landscapes.
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Affiliation(s)
- Rodney T Richardson
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, USA
| | - Tyler D Eaton
- Department of Entomology, Ohio State University, Wooster, OH, USA
| | - Chia-Hua Lin
- Department of Entomology, Ohio State University, Wooster, OH, USA
| | - Garrett Cherry
- Department of Entomology, Ohio State University, Wooster, OH, USA
| | - Reed M Johnson
- Department of Entomology, Ohio State University, Wooster, OH, USA
| | - Douglas B Sponsler
- Department of Animal Ecology and Tropical Biology, University of Würzburg, Würzburg, Germany.,Department of Botany, The Academy of Natural Sciences of Drexel University, Philadelphia, PA, USA
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22
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Zhang G, St. Clair AL, Dolezal A, Toth AL, O’Neal M. Honey Bee (Hymenoptera: Apidea) Pollen Forage in a Highly Cultivated Agroecosystem: Limited Diet Diversity and Its Relationship to Virus Resistance. JOURNAL OF ECONOMIC ENTOMOLOGY 2020; 113:1062-1072. [PMID: 32274498 PMCID: PMC7362718 DOI: 10.1093/jee/toaa055] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Indexed: 05/24/2023]
Abstract
Intensified agriculture reduces natural and seminatural habitats and plant diversity, reducing forage available to honey bees (Apis mellifera L. [Hymenoptera: Apidea]). In agricultural landscapes of Iowa, United States, we studied the impact of extrinsic agricultural intensification on the availability of pollen for honey bees by placing colonies next to soybean fields surrounded by either a low or high level of cultivation. The abundance and diversity of pollen returned to a colony were estimated by placing pollen traps on bee colonies during the summer and fall of 2015 and 2016. We observed no difference in abundance and diversity of pollen collected by colonies in either landscape, but abundance varied over time with significantly less collected in September. We explored if the most commonly collected pollen from these landscapes had the capacity to support honey bee immune health by testing if diets consisting of these pollens improved bee resistance to a viral infection. Compared to bees denied pollen, a mixture of pollen from the two most common plant taxa (Trifolium spp. L. [Fabales: Fabaceae] and Chimaechrista fasciculata (Michx.) Greene [Fabales: Fabaceae]) significantly reduced honey bee mortality induced by viral infection. These data suggest that a community of a few common plants was favored by honey bees, and when available, could be valuable for reducing mortality from a viral infection. Our data suggest a late season shortage of pollen may be ameliorated by additions of fall flowering plants, like goldenrod (Solidago spp. L. [Asterales: Asteraceae]) and sunflower (Helianthus, Heliopsis, and Silphium spp. [Asterales: Asteraceae]), as options for enhancing pollen availability and quality for honey bees in agricultural landscapes.
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Affiliation(s)
- Ge Zhang
- Department of Entomology, Iowa State University, Ames, IA
| | - Ashley L St. Clair
- Department of Entomology, Iowa State University, Ames, IA
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA
| | - Adam Dolezal
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL
| | - Amy L Toth
- Department of Entomology, Iowa State University, Ames, IA
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA
| | - Matthew O’Neal
- Department of Entomology, Iowa State University, Ames, IA
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Samuelson AE, Gill RJ, Leadbeater E. Urbanisation is associated with reduced Nosema sp. infection, higher colony strength and higher richness of foraged pollen in honeybees. APIDOLOGIE 2020; 51:746-762. [PMID: 33122866 PMCID: PMC7584562 DOI: 10.1007/s13592-020-00758-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 02/12/2020] [Accepted: 02/26/2020] [Indexed: 05/31/2023]
Abstract
Bees are vital pollinators, but are faced with numerous threats that include loss of floral resources and emerging parasites amongst others. Urbanisation is a rapidly expanding driver of land-use change that may interact with these two major threats to bees. Here we investigated effects of urbanisation on food store quality and colony health in honeybees (Apis mellifera) by sampling 51 hives in four different land-use categories: urban, suburban, rural open and rural wooded during two seasons (spring and autumn). We found positive effects of urban land use on colony strength and richness of stored pollen morphotypes, alongside lower late-season Nosema sp. infection in urban and suburban colonies. Our results reveal that honeybees exhibit lower colony performance in strength in rural areas, adding to the growing evidence that modern agricultural landscapes can constitute poor habitat for insect pollinators.
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Affiliation(s)
- Ash E. Samuelson
- School of Biological Sciences, Royal Holloway University of London, Egham, UK
| | - Richard J. Gill
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
| | - Ellouise Leadbeater
- School of Biological Sciences, Royal Holloway University of London, Egham, UK
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24
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Feldhaar H, Otti O. Pollutants and Their Interaction with Diseases of Social Hymenoptera. INSECTS 2020; 11:insects11030153. [PMID: 32121502 PMCID: PMC7142568 DOI: 10.3390/insects11030153] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 02/18/2020] [Accepted: 02/24/2020] [Indexed: 12/07/2022]
Abstract
Many insect species, including social insects, are currently declining in abundance and diversity. Pollutants such as pesticides, heavy metals, or airborne fine particulate matter from agricultural and industrial sources are among the factors driving this decline. While these pollutants can have direct detrimental effects, they can also result in negative interactive effects when social insects are simultaneously exposed to multiple stressors. For example, sublethal effects of pollutants can increase the disease susceptibility of social insects, and thereby jeopardize their survival. Here we review how pesticides, heavy metals, or airborne fine particulate matter interact with social insect physiology and especially the insects’ immune system. We then give an overview of the current knowledge of the interactive effects of these pollutants with pathogens or parasites. While the effects of pesticide exposure on social insects and their interactions with pathogens have been relatively well studied, the effects of other pollutants, such as heavy metals in soil or fine particulate matter from combustion, vehicular transport, agriculture, and coal mining are still largely unknown. We therefore provide an overview of urgently needed knowledge in order to mitigate the decline of social insects.
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25
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Carr-Markell MK, Demler CM, Couvillon MJ, Schürch R, Spivak M. Do honey bee (Apis mellifera) foragers recruit their nestmates to native forbs in reconstructed prairie habitats? PLoS One 2020; 15:e0228169. [PMID: 32049993 PMCID: PMC7015315 DOI: 10.1371/journal.pone.0228169] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 01/08/2020] [Indexed: 02/02/2023] Open
Abstract
Honey bee (Apis mellifera) colonies are valued for the pollination services that they provide. However, colony mortality has increased to unsustainable levels in some countries, including the United States. Landscape conversion to monocrop agriculture likely plays a role in this increased mortality by decreasing the food sources available to honey bees. Many land owners and organizations in the Upper Midwest region of the United States would like to restore/reconstruct native prairie habitats. With increasing public awareness of high bee mortality, many landowners and beekeepers have wondered whether these restored prairies could significantly improve honey bee colony nutrition. Conveniently, honey bees have a unique communication signal called a waggle dance, which indicates the locations of the flower patches that foragers perceive as highly profitable food sources. We used these communication signals to answer two main questions: First, is there any part of the season in which the foraging force of a honey bee colony will devote a large proportion of its recruitment efforts (waggle dances) to flower patches within prairies? Second, will honey bee foragers advertise specific taxa of native prairie flowers as profitable pollen sources? We decoded 1528 waggle dances in colonies located near two large, reconstructed prairies. We also collected pollen loads from a subset of waggle-dancing bees, which we then analyzed to determine the flower taxon advertised. Most dances advertised flower patches outside of reconstructed prairies, but the proportion of dances advertising nectar sources within prairies increased significantly in the late summer/fall at one site. Honey bees advertised seven native prairie taxa as profitable pollen sources, although the three most commonly advertised pollen taxa were non-native. Our results suggest that including certain native prairie flower taxa in reconstructed prairies may increase the chances that colonies will use those prairies as major food sources during the period of greatest colony growth and honey production.
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Affiliation(s)
- Morgan K. Carr-Markell
- Department of Entomology, University of Minnesota, Falcon Heights, Minnesota, United States of America
- * E-mail:
| | - Cora M. Demler
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America
| | - Margaret J. Couvillon
- Department of Entomology, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Roger Schürch
- Department of Entomology, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Marla Spivak
- Department of Entomology, University of Minnesota, Falcon Heights, Minnesota, United States of America
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26
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Language Processing. Cognition 2019. [DOI: 10.1017/9781316271988.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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27
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Methods of Cognitive Psychology. Cognition 2019. [DOI: 10.1017/9781316271988.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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28
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Cognitive Psychologists’ Approach to Research. Cognition 2019. [DOI: 10.1017/9781316271988.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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29
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Visual Imagery. Cognition 2019. [DOI: 10.1017/9781316271988.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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30
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Index. Cognition 2019. [DOI: 10.1017/9781316271988.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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31
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Decision Making and Reasoning. Cognition 2019. [DOI: 10.1017/9781316271988.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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32
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Attention. Cognition 2019. [DOI: 10.1017/9781316271988.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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33
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Long-Term Memory Structure. Cognition 2019. [DOI: 10.1017/9781316271988.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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34
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Problem Solving. Cognition 2019. [DOI: 10.1017/9781316271988.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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35
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Preface. Cognition 2019. [DOI: 10.1017/9781316271988.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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36
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Sensory and Working Memory. Cognition 2019. [DOI: 10.1017/9781316271988.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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37
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Memory Retrieval. Cognition 2019. [DOI: 10.1017/9781316271988.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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38
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Visual Perception. Cognition 2019. [DOI: 10.1017/9781316271988.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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39
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References. Cognition 2019. [DOI: 10.1017/9781316271988.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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40
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Language Structure. Cognition 2019. [DOI: 10.1017/9781316271988.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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41
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Concepts and Categories. Cognition 2019. [DOI: 10.1017/9781316271988.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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42
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Long-Term Memory Processes. Cognition 2019. [DOI: 10.1017/9781316271988.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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43
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Glossary. Cognition 2019. [DOI: 10.1017/9781316271988.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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44
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Wintermantel D, Odoux J, Chadœuf J, Bretagnolle V. Organic farming positively affects honeybee colonies in a flower‐poor period in agricultural landscapes. J Appl Ecol 2019. [DOI: 10.1111/1365-2664.13447] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Dimitry Wintermantel
- INRA, UE 1255‐APIS Le Magneraud Surgères France
- Centre d’Etudes Biologiques de Chizé UMR 7372, CNRS & Université de La Rochelle Villiers‐en‐Bois France
| | | | | | - Vincent Bretagnolle
- Centre d’Etudes Biologiques de Chizé UMR 7372, CNRS & Université de La Rochelle Villiers‐en‐Bois France
- LTSER Zone Atelier Plaine & Val de Sèvre CNRS Villiers‐en‐Bois France
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45
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46
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Berg CJ, King HP, Delenstarr G, Kumar R, Rubio F, Glaze T. Glyphosate residue concentrations in honey attributed through geospatial analysis to proximity of large-scale agriculture and transfer off-site by bees. PLoS One 2018; 13:e0198876. [PMID: 29995880 PMCID: PMC6040695 DOI: 10.1371/journal.pone.0198876] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/25/2018] [Indexed: 12/31/2022] Open
Abstract
Honey taken directly from 59 bee hives on the Hawaiian island of Kaua'i was analyzed for glyphosate residue using ELISA techniques. Glyphosate residue was detected (> LOQ) in 27% of honey samples, at concentrations up to 342 ppb, with a mean = 118 ppb, S.E.M. 24 ppb. Of 15 honey samples store-purchased on Kaua'i, glyphosate was detected in 33%, with a mean concentration of 41 ppb, S.E.M. 14. Glyphosate residue was not detected in two samples from the island of Molokai but was in one of four samples from the island of Hawai'i. Presence and concentration of glyphosate residues were geospatially mapped with respect to Hawaiian land divisions. Mapping showed higher occurrence of glyphosate that was over LOQ (48%) and concentrations of glyphosate (mean = 125 ppb, S.E.M. 25 ppb; N = 15) in honey from the western, predominantly agricultural, half of Kaua'i versus the eastern half (4%, mean = 15 ppb; N = 1). Geographic Information System analysis of land use percentage was performed within a circular zone of 1 Km radius around each hive. Various land use types within each circular zone were transcribed into polygons and percent land use calculated. Only agriculture land use showed a strong positive correlation with glyphosate concentration. High glyphosate concentrations were also detected when extensive golf courses and/or highways were nearby. This suggests herbicide migration from the site of use into other areas by bees. Best management practices in use for curtailing pesticide migration are not effective and must be carefully re-assessed.
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Affiliation(s)
- Carl J. Berg
- Kauaʽi Chapter, Surfrider Foundation, Līhuʽe, Hawaii, United States of America
| | - H. Peter King
- DataWise Consulting, Kapaʽa, Hawaii, United States of America
| | | | - Ritikaa Kumar
- Southern Oregon University, Ashland, Oregon, United States of America
| | - Fernando Rubio
- Abraxis Inc., Warminster, Pennsylvania, United States of America
| | - Tom Glaze
- Abraxis Inc., Warminster, Pennsylvania, United States of America
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47
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Kamo T, Kusumoto Y, Tokuoka Y, Okubo S, Hayakawa H, Yoshiyama M, Kimura K, Konuma A. A DNA barcoding method for identifying and quantifying the composition of pollen species collected by European honeybees, Apis mellifera (Hymenoptera: Apidae). APPLIED ENTOMOLOGY AND ZOOLOGY 2018; 53:353-361. [PMID: 30100617 PMCID: PMC6060998 DOI: 10.1007/s13355-018-0565-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 04/25/2018] [Indexed: 05/25/2023]
Abstract
The European honeybee, Apis mellifera L. (Hymenoptera: Apidae), is the most important crop pollinator, and there is an urgent need for a sustained supply of honeybee colonies. Understanding the availability of pollen resources around apiaries throughout the brood-rearing season is crucial to increasing the number of colonies. However, detailed information on the floral resources used by honeybees is limited due to a scarcity of efficient methods for identifying pollen species composition. Therefore, we developed a DNA barcoding method for identifying the species of each pollen pellet and for quantifying the species composition by summing the weights of the pellets for each species. To establish the molecular biological protocol, we analyzed 1008 pellets collected between late July and early September 2016 from five hives placed in a forest/agricultural landscape of Hokkaido, northern Japan. Pollen was classified into 31 plant taxa, of which 29 were identified with satisfactory discrimination (25 species and 4 genera) using trnL-trnF and ITS2 as DNA barcoding regions together with available floral and phenological information. The remaining two taxa were classified to the species level using other DNA barcoding regions. Of the 1008 pollen pellets tested, 1005 (99.7%) were successfully identified. As an example of the use of this method, we demonstrated the change in species composition of pollen pellets collected each week for 9 weeks from the same hive.
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Affiliation(s)
- Tsunashi Kamo
- Ecosystem Services Assessment Unit, Division of Biodiversity, Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604 Japan
| | - Yoshinobu Kusumoto
- Ecosystem Services Assessment Unit, Division of Biodiversity, Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604 Japan
| | - Yoshinori Tokuoka
- Ecosystem Services Assessment Unit, Division of Biodiversity, Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604 Japan
| | - Satoru Okubo
- Ecosystem Services Assessment Unit, Division of Biodiversity, Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604 Japan
| | - Hiroshi Hayakawa
- Botanical Society of Tosa, 2452-1, Ananai, Aki, Kochi 784-0032 Japan
- Present Address: Museum of Natural and Environmental History, Shizuoka, 5762 Oya, Suruga-ku, Shizuoka, Shizuoka 422-8017 Japan
| | - Mikio Yoshiyama
- Animal Genetics Unit, Division of Animal Breeding and Reproduction Research, Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, 2 Ikenodai, Tsukuba, Ibaraki 305-0901 Japan
| | - Kiyoshi Kimura
- Animal Genetics Unit, Division of Animal Breeding and Reproduction Research, Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, 2 Ikenodai, Tsukuba, Ibaraki 305-0901 Japan
| | - Akihiro Konuma
- Ecosystem Services Assessment Unit, Division of Biodiversity, Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604 Japan
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48
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González-Varo JP, Geldmann J. Response-"Bee conservation: Key role of managed bees" and "Bee conservation: Inclusive solutions". Science 2018; 360:390. [PMID: 29700259 DOI: 10.1126/science.aat3746] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Juan P González-Varo
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK.
| | - Jonas Geldmann
- Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK.
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Stange E, Zulian G, Rusch G, Barton D, Nowell M. Ecosystem services mapping for municipal policy: ESTIMAP and zoning for urban beekeeping. ONE ECOSYSTEM 2017. [DOI: 10.3897/oneeco.2.e14014] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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50
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Nürnberger F, Steffan-Dewenter I, Härtel S. Combined effects of waggle dance communication and landscape heterogeneity on nectar and pollen uptake in honey bee colonies. PeerJ 2017; 5:e3441. [PMID: 28603677 PMCID: PMC5466000 DOI: 10.7717/peerj.3441] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 05/18/2017] [Indexed: 11/20/2022] Open
Abstract
The instructive component of waggle dance communication has been shown to increase resource uptake of Apis mellifera colonies in highly heterogeneous resource environments, but an assessment of its relevance in temperate landscapes with different levels of resource heterogeneity is currently lacking. We hypothesized that the advertisement of resource locations via dance communication would be most relevant in highly heterogeneous landscapes with large spatial variation of floral resources. To test our hypothesis, we placed 24 Apis mellifera colonies with either disrupted or unimpaired instructive component of dance communication in eight Central European agricultural landscapes that differed in heterogeneity and resource availability. We monitored colony weight change and pollen harvest as measure of foraging success. Dance disruption did not significantly alter colony weight change, but decreased pollen harvest compared to the communicating colonies by 40%. There was no general effect of resource availability on nectar or pollen foraging success, but the effect of landscape heterogeneity on nectar uptake was stronger when resource availability was high. In contrast to our hypothesis, the effects of disrupted bee communication on nectar and pollen foraging success were not stronger in landscapes with heterogeneous compared to homogenous resource environments. Our results indicate that in temperate regions intra-colonial communication of resource locations benefits pollen foraging more than nectar foraging, irrespective of landscape heterogeneity. We conclude that the so far largely unexplored role of dance communication in pollen foraging requires further consideration as pollen is a crucial resource for colony development and health.
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Affiliation(s)
- Fabian Nürnberger
- Department of Animal Ecology and Tropical Biology, Bayerische Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Ingolf Steffan-Dewenter
- Department of Animal Ecology and Tropical Biology, Bayerische Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Stephan Härtel
- Department of Animal Ecology and Tropical Biology, Bayerische Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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