Spatiotemporal Associations in Beetle and Virus Count Data

Korie, Sam; Perry, J. N.; Mugglestone, M. A.; Clark, S. J.; Thomas, C. F. G.; Roff, M. N. Mohamad

doi:10.2307/1400532

Cited by 32 publications

(17 citation statements)

References 16 publications

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“…Spatial patterns in W1 were not investigated because these flies were not abundant (n=80) and were found on a few fruit only. Under these conditions type II error rates may be high (Korie et al 2000).…”

Section: Analysesmentioning

confidence: 99%

Body size patterns in Drosophila inhabiting a mesocosm: interactive effects of spatial variation in temperature and abundance

et al. 2006

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Body size is a major component of fitness. However, the relative contributions of different factors to optimal size, and the determinants of spatial and temporal variation in size, have not been fully established empirically. Here, we use a mesocosm of a Drosophilidae assemblage inhabiting decaying nectarines to investigate the influence of spatial variation in temperature on adult body size in Drosophila simulans Sturtevant. Two treatments were established; one in the sun where developing larvae were exposed to high temperatures and the other in the shade where temperature conditions were milder. The simple developmental effects of temperature differences (i.e. larger flies are likely to emerge from cooler environments), or the simple effects of stressful temperatures (i.e. high temperatures yield wing abnormalities and smaller flies), were overridden by interactive effects between temperature and larval density. Emergences were lower in the sun than shade, probably as a result of temperature-induced mortality. However, flies attained the same final sizes in the shade and sun. In addition, abnormally winged flies were clustered in the shaded treatments. In the shade treatments, where emergences were higher than in the sun, stressful conditions as a result of high larval density likely resulted in wing abnormalities and small size. Consequently, there was little spatial variation in size across the mesocosm, but substantial spatial variation in abundance. Under natural conditions both mortality and non-lethal effects of temperature and/or crowding are likely to play a role in the evolution of body size.

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Section: Analysesmentioning

confidence: 99%

Body size patterns in Drosophila inhabiting a mesocosm: interactive effects of spatial variation in temperature and abundance

et al. 2006

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“…Alternatively, the SADIE generates overall indices as well as local distance indices, with their associated probabilities, for the spatial patterns of a single population and the spatial associations of two populations (Perry et al, 1999;Perry and Dixon, 2002). SADIE allows for improved interpretation of spatial data within a given sampling area (Korie et al, 2000) because it was designed for data that are distributed in discrete aggregations with relatively well-defined boundaries over an area. Furthermore, SADIE is more concerned with the extent of clustering and subsequent testing of spatial patterns in relation to every other sample point (Korie et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

“…SADIE allows for improved interpretation of spatial data within a given sampling area (Korie et al, 2000) because it was designed for data that are distributed in discrete aggregations with relatively well-defined boundaries over an area. Furthermore, SADIE is more concerned with the extent of clustering and subsequent testing of spatial patterns in relation to every other sample point (Korie et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Analysis of spatial and temporal associations of adult and immature Frankliniella occidentalis Pergande (Thysanoptera: Thripidae) in cucumber greenhouses

Park

Lee

Shin

et al. 2009

Appl. Entomol. Zool.

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“…Backoulou et al (5-7) used spatial pattern analysis to distinguish distributional patterns of an insect pest based on spatial variation in plant stress detected in multispectral imagery caused by the insect's inherent patchy spatial distribution in the field. Insects have species-specific spatial distributions within a particular ecological habitat (132), and their outbreaks in crops are frequently spatially aggregated (64,99,121,146). In addition, Russian wheat aphid showed patchy spatial distributions in wheat fields (5,6).…”

Section: Spatial-based Classification Methodsmentioning

confidence: 99%

Remote Sensing and Reflectance Profiling in Entomology

Nansen

Elliott

2016

Annu. Rev. Entomol.

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Remote sensing describes the characterization of the status of objects and/or the classification of their identity based on a combination of spectral features extracted from reflectance or transmission profiles of radiometric energy. Remote sensing can be benchtop based, and therefore acquired at a high spatial resolution, or airborne at lower spatial resolution to cover large areas. Despite important challenges, airborne remote sensing technologies will undoubtedly be of major importance in optimized management of agricultural systems in the twenty-first century. Benchtop remote sensing applications are becoming important in insect systematics and in phenomics studies of insect behavior and physiology. This review highlights how remote sensing influences entomological research by enabling scientists to nondestructively monitor how individual insects respond to treatments and ambient conditions. Furthermore, novel remote sensing technologies are creating intriguing interdisciplinary bridges between entomology and disciplines such as informatics and electrical engineering.

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Spatiotemporal Associations in Beetle and Virus Count Data

Cited by 32 publications

References 16 publications

Body size patterns in Drosophila inhabiting a mesocosm: interactive effects of spatial variation in temperature and abundance

Body size patterns in Drosophila inhabiting a mesocosm: interactive effects of spatial variation in temperature and abundance

Analysis of spatial and temporal associations of adult and immature Frankliniella occidentalis Pergande (Thysanoptera: Thripidae) in cucumber greenhouses

Remote Sensing and Reflectance Profiling in Entomology

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