Cross‐correlation patterns of air and soil temperatures, rainfall and <i>Diaprepes abbreviatus</i> root weevil in citrus

Futch, Stephen H.; Syvertsen, James P.

doi:10.1002/ps.1431

Cited by 13 publications

(3 citation statements)

References 33 publications

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“…This would be also true if soil surface temperatures are important for cuckoo wasps, since they often walk on the ground after landing close to a host nest. It is known that diel air and soil temperature curves are very similar (e.g., Li et al 2007), so that we can at least suggest a possible role of soil temperature.…”

Section: Discussionmentioning

confidence: 97%

Do digger wasps time their provisioning activity to avoid cuckoo wasps (Hymenoptera: Crabronidae and Chrysididae)?

2010

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Strategies adopted by parasitoids and kleptoparasites co-evolve with the defensive adaptations of their hosts, and vice-versa. Hedychrum rutilans and Hedychrum nobile are brood parasites of, respectively, Philanthus triangulum and Cerceris arenaria, two digger wasps that share most aspects of their nesting biology (solitary females dig aggregated nests in the ground and mass-provision the brood with paralyzed insects). We tested the hypothesis that similarity in the hosts' nesting habits corresponds to similar defensive strategies against these cuckoo wasps. Peak provisioning activity by P. triangulum occurred in late afternoon (and early morning in 1 year) while peak H. rutilans activity was in early afternoon. In contrast, peak provisioning by C. arenaria and peak H. nobile activity occurred in early afternoon. Thus, P. triangulum (as previously found in other populations) appears to have timed its provisioning to avoid its brood parasite whereas C. arenaria did not, rejecting our hypothesis. The daily activity of both chrysidid wasps was positively correlated to air temperature. Host nest density positively affected only H. rutilans activity, in agreement with previous reports for other populations of this species, whereas the daily pattern of activity of the host was the key correlate with the activity of H. nobile. Mortality due to cuckoo wasps was low for both digger wasps, although it was somewhat higher at sites with many nests of P. triangulum. We suggest that perhaps the degree to which digger wasps time their activity to avoid cuckoo wasps is related to the degree of specialization in host choice by their brood parasite. H. rutilans is more highly dependent on P. triangulum, which may have had a greater effect on the timing of provision by its host.

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Section: Discussionmentioning

confidence: 97%

Do digger wasps time their provisioning activity to avoid cuckoo wasps (Hymenoptera: Crabronidae and Chrysididae)?

2010

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“…In the lower quantiles, the correlation is very similar in rain gauge and radar data [2]. As another example, the analysis of autocorrelation and cross-correlation between time series of air temperature, soil temperature, rainfall, relative humidity, and Diaprepes root weevil across a period of 30 month in Florida suggested an association of temperature and precipitation with time distribution of Diaprepes root weevil [3]. Analysis of changes in precipitation temperature time series with plant cover (products and forest) during 1988-2005 in the area of Oreto watershed (Italy) indicated a relationship between plant cover, precipitation and temperature together with time lag value which varies from 4 to 8 months lag [4].…”

Section: Introductionmentioning

confidence: 88%

Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory

Nasrabadi¹,

Masoodian²,

Asakereh³

2013

ACS

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The V1003R1 version of the monthly, seasonal and annual precipitation time series of the Middle East APHRODITE database and Asfazari database within Iranian territory in the time interval 1961 and 2004 were compared with each other. The monthly, seasonal and annual time series of the both databases in most cases show a random behavior and the time series follow a similar pattern with a significant autocorrelation of both databases. Studying cross-correlation between the time series of the two bases indicate that the zero lag significance in the monthly, seasonal and annual time series statistically confirm the coincidence of the peak and fall in the time series of both bases. Wilcoxon Test with 95% confidence confirms significance of the mean difference of the two series. However, there is not enough evidence to confirm the null hypothesis suggesting lack of difference between means of the two series. The statistical-objective analysis of the two bases' time series indicates that although the series follow a similar course, the estimated precipitation quantity in monthly, seasonal and annual time series of APHRODITE base, except in several monthly time series and in trivial quantities, has been less than the estimated precipitation of Asfazari bases, but the amount of the difference was not constant and did not follow a regular pattern, although this difference has been narrowed in recent years.

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“…To estimate the leading or lagging relationships between wastewater viral concentrations by three concentration methods (VIRADEL, PEG, and filtration) and total COVID-19 cases, TLCC (44,(54)(55)(56). TLCC is an effective approach to estimate the dynamic relationships between two time series and demonstrate how they shift over time (44).…”

Section: Time Lagged Cross Correlation and Peak Synchronymentioning

confidence: 99%

Targeting a free viral fraction enhances the early alert potential of wastewater surveillance for SARS-CoV-2: a methods comparison spanning the transition between delta and omicron variants in a large urban center

Zhao

Geng

Corchis-Scott

et al. 2023

Front. Public Health

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IntroductionWastewater surveillance has proven to be a valuable approach to monitoring the spread of SARS-CoV-2, the virus that causes Coronavirus disease 2019 (COVID-19). Recognizing the benefits of wastewater surveillance as a tool to support public health in tracking SARS-CoV-2 and other respiratory pathogens, numerous wastewater virus sampling and concentration methods have been tested for appropriate applications as well as their significance for actionability by public health practices.MethodsHere, we present a 34-week long wastewater surveillance study that covers nearly 4 million residents of the Detroit (MI, United States) metropolitan area. Three primary concentration methods were compared with respect to recovery of SARS-CoV-2 from wastewater: Virus Adsorption-Elution (VIRADEL), polyethylene glycol precipitation (PEG), and polysulfone (PES) filtration. Wastewater viral concentrations were normalized using various parameters (flow rate, population, total suspended solids) to account for variations in flow. Three analytical approaches were implemented to compare wastewater viral concentrations across the three primary concentration methods to COVID-19 clinical data for both normalized and non-normalized data: Pearson and Spearman correlations, Dynamic Time Warping (DTW), and Time Lagged Cross Correlation (TLCC) and peak synchrony.ResultsIt was found that VIRADEL, which captures free and suspended virus from supernatant wastewater, was a leading indicator of COVID-19 cases within the region, whereas PEG and PES filtration, which target particle-associated virus, each lagged behind the early alert potential of VIRADEL. PEG and PES methods may potentially capture previously shed and accumulated SARS-CoV-2 resuspended from sediments in the interceptors.DiscussionThese results indicate that the VIRADEL method can be used to enhance the early-warning potential of wastewater surveillance applications although drawbacks include the need to process large volumes of wastewater to concentrate sufficiently free and suspended virus for detection. While lagging the VIRADEL method for early-alert potential, both PEG and PES filtration can be used for routine COVID-19 wastewater monitoring since they allow a large number of samples to be processed concurrently while being more cost-effective and with rapid turn-around yielding results same day as collection.

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Cross‐correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus

Cited by 13 publications

References 33 publications

Do digger wasps time their provisioning activity to avoid cuckoo wasps (Hymenoptera: Crabronidae and Chrysididae)?

Do digger wasps time their provisioning activity to avoid cuckoo wasps (Hymenoptera: Crabronidae and Chrysididae)?

Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory

Targeting a free viral fraction enhances the early alert potential of wastewater surveillance for SARS-CoV-2: a methods comparison spanning the transition between delta and omicron variants in a large urban center

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