Influence of seasonal and climatic variables on coffee berry borer (Hypothenemus hampei Ferrari) flight activity in Hawaii
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 wit...
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description | 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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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0257861</identifier><identifier>PMID: 34928953</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural research ; Air temperature ; Animals ; Auroral kilometric radiation ; Beetles ; Biology and Life Sciences ; Borers ; Climate change ; Coffee ; Coleoptera ; Coleoptera - physiology ; Correlation ; Costs ; Daily temperatures ; Earth Sciences ; Farms ; Female ; Females ; Flight activity ; Flight, Animal - physiology ; Fruits ; Hawaii ; Humidity ; Hypothenemus hampei ; Inouye, Daniel K ; Insects ; Islands ; Male ; Management ; Models, Biological ; Pesticides ; Phenology ; Physical Sciences ; Prediction models ; Radiation ; Rain ; Rainfall ; Relative humidity ; Seasons ; Sensors ; Solar radiation ; Variables ; Weather ; Weather effects ; Wind speed</subject><ispartof>PloS one, 2021-12, Vol.16 (12), p.e0257861-e0257861</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>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. 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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.</description><subject>Agricultural research</subject><subject>Air temperature</subject><subject>Animals</subject><subject>Auroral kilometric radiation</subject><subject>Beetles</subject><subject>Biology and Life Sciences</subject><subject>Borers</subject><subject>Climate change</subject><subject>Coffee</subject><subject>Coleoptera</subject><subject>Coleoptera - physiology</subject><subject>Correlation</subject><subject>Costs</subject><subject>Daily temperatures</subject><subject>Earth Sciences</subject><subject>Farms</subject><subject>Female</subject><subject>Females</subject><subject>Flight activity</subject><subject>Flight, Animal - physiology</subject><subject>Fruits</subject><subject>Hawaii</subject><subject>Humidity</subject><subject>Hypothenemus hampei</subject><subject>Inouye, Daniel 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of seasonal and climatic variables on coffee berry borer (Hypothenemus hampei Ferrari) flight activity in Hawaii</title><author>Johnson, Melissa A ; Manoukis, Nicholas C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-ee3fa1ff2fc63f42fb29d66b4595278809971fff8bb762ac344dc19d42931d063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural research</topic><topic>Air temperature</topic><topic>Animals</topic><topic>Auroral kilometric radiation</topic><topic>Beetles</topic><topic>Biology and Life Sciences</topic><topic>Borers</topic><topic>Climate change</topic><topic>Coffee</topic><topic>Coleoptera</topic><topic>Coleoptera - physiology</topic><topic>Correlation</topic><topic>Costs</topic><topic>Daily temperatures</topic><topic>Earth Sciences</topic><topic>Farms</topic><topic>Female</topic><topic>Females</topic><topic>Flight activity</topic><topic>Flight, Animal - physiology</topic><topic>Fruits</topic><topic>Hawaii</topic><topic>Humidity</topic><topic>Hypothenemus hampei</topic><topic>Inouye, Daniel K</topic><topic>Insects</topic><topic>Islands</topic><topic>Male</topic><topic>Management</topic><topic>Models, Biological</topic><topic>Pesticides</topic><topic>Phenology</topic><topic>Physical Sciences</topic><topic>Prediction models</topic><topic>Radiation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Relative humidity</topic><topic>Seasons</topic><topic>Sensors</topic><topic>Solar radiation</topic><topic>Variables</topic><topic>Weather</topic><topic>Weather effects</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, Melissa A</creatorcontrib><creatorcontrib>Manoukis, Nicholas C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE 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One</addtitle><date>2021-12-20</date><risdate>2021</risdate><volume>16</volume><issue>12</issue><spage>e0257861</spage><epage>e0257861</epage><pages>e0257861-e0257861</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34928953</pmid><doi>10.1371/journal.pone.0257861</doi><orcidid>https://orcid.org/0000-0003-1275-5374</orcidid><orcidid>https://orcid.org/0000-0001-5062-7256</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural research Air temperature Animals Auroral kilometric radiation Beetles Biology and Life Sciences Borers Climate change Coffee Coleoptera Coleoptera - physiology Correlation Costs Daily temperatures Earth Sciences Farms Female Females Flight activity Flight, Animal - physiology Fruits Hawaii Humidity Hypothenemus hampei Inouye, Daniel K Insects Islands Male Management Models, Biological Pesticides Phenology Physical Sciences Prediction models Radiation Rain Rainfall Relative humidity Seasons Sensors Solar radiation Variables Weather Weather effects Wind speed |
title | Influence of seasonal and climatic variables on coffee berry borer (Hypothenemus hampei Ferrari) flight activity in Hawaii |
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