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      Influence of seasonal and climatic variables on coffee berry borer ( Hypothenemus hampei Ferrari) flight activity in Hawaii

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          Abstract

          Coffee berry borer (CBB, Hypothenemus hampei Ferrari) is the most serious insect pest of coffee worldwide, yet little is known about the effect that weather variables have on CBB flight activity. We sampled flying female CBB adults bi-weekly over a three-year period using red funnel traps baited with an alcohol lure at 14 commercial coffee farms on Hawaii Island to characterize seasonal phenology and the relationship between flight activity and five weather variables. We captured almost 5 million scolytid beetles during the sampling period, with 81–93% of the trap catch comprised of CBB. Of the captured non-target beetles, the majority were tropical nut borer, black twig borer and a species of Cryphalus. Two major flight events were consistent across all three years: an initial emergence from January-April that coincided with early fruit development and a second flight during the harvest season from September-December. A generalized additive mixed model (GAMM) revealed that mean daily air temperature had a highly significant positive correlation with CBB flight; most flight events occurred between 20–26°C. Mean daily solar radiation also had a significant positive relationship with flight. Flight was positively correlated with maximum daily relative humidity at values below ~94%, and cumulative rainfall up to 100 mm; flight was also positively correlated with maximum daily wind speeds up to ~2.5 m/s, after which activity declined. Our findings provide important insight into CBB flight patterns across a highly variable landscape and can serve as a starting point for the development of flight prediction models.

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          Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

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            Mass seasonal bioflows of high-flying insect migrants.

            Migrating animals have an impact on ecosystems directly via influxes of predators, prey, and competitors and indirectly by vectoring nutrients, energy, and pathogens. Although linkages between vertebrate movements and ecosystem processes have been established, the effects of mass insect "bioflows" have not been described. We quantified biomass flux over the southern United Kingdom for high-flying (>150 meters) insects and show that ~3.5 trillion insects (3200 tons of biomass) migrate above the region annually. These flows are not randomly directed in insects larger than 10 milligrams, which exploit seasonally beneficial tailwinds. Large seasonal differences in the southward versus northward transfer of biomass occur in some years, although flows were balanced over the 10-year period. Our long-term study reveals a major transport process with implications for ecosystem services, processes, and biogeochemistry.
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              Windborne long-distance migration of malaria mosquitoes in the Sahel

              Over the past two decades, control efforts have halved malaria cases globally, yet burdens remain high in much of Africa and elimination has not been achieved even where extreme reductions have been sustained, such as in South Africa 1 , 2 . Studies seeking to understand the paradoxical persistence of malaria in areas where surface water is absent for 3–8 months of the year, suggested that certain Anopheles mosquitoes employ long-distance migration 3 . Here, we confirmed this hypothesis by aerial sampling of mosquitoes 40–290 m above ground, providing the first evidence of windborne migration of African malaria vectors, and consequently the pathogens they transmit. Ten species, including the primary malaria vector Anopheles coluzzii, were identified among 235 anophelines captured during 617 nocturnal aerial collections in the Sahel of Mali. Importantly, females accounted for >80% of all mosquitoes collected. Of these, 90% had taken a blood meal before their migration, implying that pathogens will be transported long distances by migrating females. The likelihood of capturing Anopheles species increased with altitude and during the wet seasons, but variation between years and localities was minimal. Simulated trajectories of mosquito flights indicated mean nightly displacements of up to 300 km for 9-hour flight durations. Annually, the estimated numbers of mosquitoes at altitude crossing a 100-km line perpendicular to the winds included 81,000 An. gambiae s.s., 6 million An. coluzzii , and 44 million An. squamosus . These results provide compelling evidence that millions of previously blood-fed, malaria vectors frequently migrate over hundreds of kilometers, and thus almost certainly spread malaria over such distances. Malaria elimination success may, therefore, depend on whether sources of migrant vectors can be identified and controlled.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 December 2021
                2021
                : 16
                : 12
                : e0257861
                Affiliations
                [001] Daniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture–Agricultural Research Service, Hilo, Hawaii, United States of America
                US Department of Agriculture, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-1275-5374
                https://orcid.org/0000-0001-5062-7256
                Article
                PONE-D-21-29176
                10.1371/journal.pone.0257861
                8687535
                34928953
                3ef73458-c847-4e76-866f-941f516a5030

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 8 September 2021
                : 30 November 2021
                Page count
                Figures: 5, Tables: 2, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100007917, Agricultural Research Service;
                Award ID: 701-2040-505
                Award Recipient :
                Funding for this study was provided by the USDA-ARS Area-wide Pest Management Program (#701-2040-505) awarded to NCM. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Animal Flight
                Insect Flight
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Animal Flight
                Biology and Life Sciences
                Agriculture
                Farms
                Earth Sciences
                Atmospheric Science
                Meteorology
                Wind
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Fruits
                Berries
                Biology and Life Sciences
                Zoology
                Entomology
                Insects
                Beetles
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Insects
                Beetles
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Arthropoda
                Insects
                Beetles
                Physical Sciences
                Physics
                Electromagnetic Radiation
                Solar Radiation
                Earth Sciences
                Seasons
                Custom metadata
                All relevant data has been deposited in the Dryad digital repository, (DOI): 10.5061/dryad.66t1g1k3g.

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                Uncategorized

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