Cross-correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus.
Identifieur interne : 000B15 ( PubMed/Checkpoint ); précédent : 000B14; suivant : 000B16Cross-correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus.
Auteurs : Hong Li [Canada] ; Stephen H. Futch ; James P. SyvertsenSource :
- Pest management science [ 1526-498X ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- chemical : Soil.
- growth & development : Weevils.
- physiology : Weevils.
- Animals, Citrus sinensis, Humidity, Pest Control, Population Density, Population Dynamics, Rain, Regression Analysis, Temperature, Time Factors.
Abstract
Time series cross-correlation analysis is appropriate when measuring relationships between two different time series. Using this approach, the authors quantified the relationship between the time series air temperature (AT), soil temperature (ST), rainfall, relative humidity (RH) and Diaprepes abbreviatus (L.) (Coleoptera: Curculionidae) root weevil across a period of 30 months, and examined how closely the distribution of Diaprepes root weevil was related to AT, ST, rainfall and RH within this period of time. The study was conducted on a poorly drained Spodosol in a citrus [Citrus sinensis (L.) Osb.] grove in DeSoto County, south-west Florida, from April 2001 to September 2003. Adult weevil populations were monitored using 100 Tedders traps in a 30 x 15 m grid. Weather data (0.6 m AT, 0.1 m ST, 2 m rainfall and 2 m RH) were monitored by Florida Automated Weather Networks. The monthly mean and standard deviation were 22.3 +/- 4.0 degrees C for AT, 24.7 +/- 4.2 degrees C for ST, 146.0 +/- 122.7 mm for rainfall, 78.2 +/- 4.7% for RH and 0.74 +/- 0.59 adults trap(-1) for the root weevil. Weevil density was positively correlated with AT (r = 0.45, P < 0.0133), ST (r = 0.49, P < 0.0067) and rainfall (r = 0.38, P < 0.0450). The environmental variables AT, ST, rainfall and RH were correlated with each other (0.42 < r < 0.99, 0.0246 < P < 0.0001). All weather and Diaprepes variables were autocorrelated with each other within a time of 3 months. The cross-correlation coefficients varied between - 0.59 and 0.65 for the pair-variable between Diaprepes, AT, ST and rainfall, and these pair-variables were correlated across a time period of 4 months. The present results suggested that warm, wet conditions contributed to the root weevil outbreaks, and environmental temperature and rainfall were the variables most closely related to Diaprepes root weevil distribution in time.
DOI: 10.1002/ps.1431
PubMed: 17674428
Affiliations:
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<author><name sortKey="Li, Hong" sort="Li, Hong" uniqKey="Li H" first="Hong" last="Li">Hong Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Nova Scotia Agricultural College, Department of Plant and Animal Sciences, Truro, Nova Scotia, Canada. hli@nsac.ca</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Nova Scotia Agricultural College, Department of Plant and Animal Sciences, Truro, Nova Scotia</wicri:regionArea>
<wicri:noRegion>Nova Scotia</wicri:noRegion>
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<author><name sortKey="Futch, Stephen H" sort="Futch, Stephen H" uniqKey="Futch S" first="Stephen H" last="Futch">Stephen H. Futch</name>
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<author><name sortKey="Syvertsen, James P" sort="Syvertsen, James P" uniqKey="Syvertsen J" first="James P" last="Syvertsen">James P. Syvertsen</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Cross-correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus.</title>
<author><name sortKey="Li, Hong" sort="Li, Hong" uniqKey="Li H" first="Hong" last="Li">Hong Li</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
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<term>Pest Control</term>
<term>Population Density</term>
<term>Population Dynamics</term>
<term>Rain</term>
<term>Regression Analysis</term>
<term>Soil</term>
<term>Temperature</term>
<term>Time Factors</term>
<term>Weevils (growth & development)</term>
<term>Weevils (physiology)</term>
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<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Soil</term>
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<term>Citrus sinensis</term>
<term>Humidity</term>
<term>Pest Control</term>
<term>Population Density</term>
<term>Population Dynamics</term>
<term>Rain</term>
<term>Regression Analysis</term>
<term>Temperature</term>
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<front><div type="abstract" xml:lang="en">Time series cross-correlation analysis is appropriate when measuring relationships between two different time series. Using this approach, the authors quantified the relationship between the time series air temperature (AT), soil temperature (ST), rainfall, relative humidity (RH) and Diaprepes abbreviatus (L.) (Coleoptera: Curculionidae) root weevil across a period of 30 months, and examined how closely the distribution of Diaprepes root weevil was related to AT, ST, rainfall and RH within this period of time. The study was conducted on a poorly drained Spodosol in a citrus [Citrus sinensis (L.) Osb.] grove in DeSoto County, south-west Florida, from April 2001 to September 2003. Adult weevil populations were monitored using 100 Tedders traps in a 30 x 15 m grid. Weather data (0.6 m AT, 0.1 m ST, 2 m rainfall and 2 m RH) were monitored by Florida Automated Weather Networks. The monthly mean and standard deviation were 22.3 +/- 4.0 degrees C for AT, 24.7 +/- 4.2 degrees C for ST, 146.0 +/- 122.7 mm for rainfall, 78.2 +/- 4.7% for RH and 0.74 +/- 0.59 adults trap(-1) for the root weevil. Weevil density was positively correlated with AT (r = 0.45, P < 0.0133), ST (r = 0.49, P < 0.0067) and rainfall (r = 0.38, P < 0.0450). The environmental variables AT, ST, rainfall and RH were correlated with each other (0.42 < r < 0.99, 0.0246 < P < 0.0001). All weather and Diaprepes variables were autocorrelated with each other within a time of 3 months. The cross-correlation coefficients varied between - 0.59 and 0.65 for the pair-variable between Diaprepes, AT, ST and rainfall, and these pair-variables were correlated across a time period of 4 months. The present results suggested that warm, wet conditions contributed to the root weevil outbreaks, and environmental temperature and rainfall were the variables most closely related to Diaprepes root weevil distribution in time.</div>
</front>
</TEI>
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<JournalIssue CitedMedium="Print"><Volume>63</Volume>
<Issue>11</Issue>
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<Month>Nov</Month>
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<Title>Pest management science</Title>
<ISOAbbreviation>Pest Manag. Sci.</ISOAbbreviation>
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<ArticleTitle>Cross-correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus.</ArticleTitle>
<Pagination><MedlinePgn>1116-23</MedlinePgn>
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<Abstract><AbstractText>Time series cross-correlation analysis is appropriate when measuring relationships between two different time series. Using this approach, the authors quantified the relationship between the time series air temperature (AT), soil temperature (ST), rainfall, relative humidity (RH) and Diaprepes abbreviatus (L.) (Coleoptera: Curculionidae) root weevil across a period of 30 months, and examined how closely the distribution of Diaprepes root weevil was related to AT, ST, rainfall and RH within this period of time. The study was conducted on a poorly drained Spodosol in a citrus [Citrus sinensis (L.) Osb.] grove in DeSoto County, south-west Florida, from April 2001 to September 2003. Adult weevil populations were monitored using 100 Tedders traps in a 30 x 15 m grid. Weather data (0.6 m AT, 0.1 m ST, 2 m rainfall and 2 m RH) were monitored by Florida Automated Weather Networks. The monthly mean and standard deviation were 22.3 +/- 4.0 degrees C for AT, 24.7 +/- 4.2 degrees C for ST, 146.0 +/- 122.7 mm for rainfall, 78.2 +/- 4.7% for RH and 0.74 +/- 0.59 adults trap(-1) for the root weevil. Weevil density was positively correlated with AT (r = 0.45, P < 0.0133), ST (r = 0.49, P < 0.0067) and rainfall (r = 0.38, P < 0.0450). The environmental variables AT, ST, rainfall and RH were correlated with each other (0.42 < r < 0.99, 0.0246 < P < 0.0001). All weather and Diaprepes variables were autocorrelated with each other within a time of 3 months. The cross-correlation coefficients varied between - 0.59 and 0.65 for the pair-variable between Diaprepes, AT, ST and rainfall, and these pair-variables were correlated across a time period of 4 months. The present results suggested that warm, wet conditions contributed to the root weevil outbreaks, and environmental temperature and rainfall were the variables most closely related to Diaprepes root weevil distribution in time.</AbstractText>
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