Spatial and Temporal Changes in Aphid (Homoptera: Aphididae) Species Assemblages Collected with Suction Traps in Idaho

Quinn, Mark; Halbert, Susan E.; Williams, Livy

doi:10.1093/jee/84.6.1710

Cited by 14 publications

(8 citation statements)

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“…Each unit represents one standard deviation, such that 100 standard units generally signifies a 50% change in species composition (Gauch 1985). For every time period, DCA axis 1 and 2 scores were tested for correlation with the presence of an adjacent refuge, use of insecticide and combination of refuge × insecticide to determine their importance in shaping the overall community (Quinn, Halbert & Williams 1991). DCA axis scores were correlated with refuge × insecticide combinations ranked in the order of what we a priori believed would be the least to most favourable habitat for carabids: −refuge/+insecticide, −refuge/−insecticide, +refuge/+insecticide and +refuge/−insecticide.…”

Section: Methodsmentioning

confidence: 99%

Refuge habitats modify impact of insecticide disturbance on carabid beetle communities

Lee

Menalled

Landis

2001

Journal of Applied Ecology

164

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Summary 1.Carabid beetles are polyphagous predators that can act as biological control agents of insect pests and weeds. While current agricultural practices often create a harsh environment, habitat management such as the establishment of within-field refuges has been proposed to enhance carabid beetle abundance and impact. We examined the joint effects of refuge habitats and insecticide application on carabid activity density ( parameter of population density and relative activity) and species composition in a cornfield. 2. Our 2-year study comprised four treatments: (i) -refuge/-insecticide; (ii) + refuge/ -insecticide; (iii) -refuge/+insecticide; (iv) + refuge/ + insecticide. Refuge strips consisted of grasses, legumes and perennial flowering plants. '-Refuge' strips were planted with corn and not treated with insecticide. 3. Before planting and insecticide application, carabid activity density in the crop areas was similar across all treatments. Insecticide application immediately reduced carabid activity density and altered community composition in the crop area. 4. Refuge strips had significantly higher activity density of beetles than -refuge strips before planting and during the summer. 5. During summer, as new carabids emerged and insecticide toxicity declined, the presence of refuge strips influenced carabids in the adjacent crop area. Carabid activity density within crop areas previously treated with insecticide was significantly higher when adjacent to refuge strips. Also, carabid communities within insecticide-treated crop areas were affected by the presence or absence of a refuge strip. 6. The presence of refuge strips did not consistently augment carabid numbers in crop areas where insecticide was not applied. One explanation may be that insecticides decreased the quality of crop habitat to carabids by depletion of prey and direct mortality. However, subsequent rebounds in prey density and the absence of competing predators may make these areas relatively more attractive than unperturbed crop habitats to carabid colonization from refuges. 7. This study demonstrates that refuges may buffer the negative consequences of insecticide application on carabids in adjacent fields. Diversifying agro-ecosystems with refuge habitats may be a viable strategy for maintaining carabid populations in disturbed agricultural landscapes to keep pests below outbreak levels.

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Section: Methodsmentioning

confidence: 99%

Refuge habitats modify impact of insecticide disturbance on carabid beetle communities

Lee

Menalled

Landis

2001

Journal of Applied Ecology

164

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“…Ecologists examine the spatial patterns of species to understand the mechanisms that control their distribution (Legendre & Legendre, 1998). Therefore, an understanding of the spatial distribution of insects has important implications for planning pest monitoring programmes (Taylor, 1986; Sharov et al ., 1996), for predicting population density at unsampled locations (Liebhold et al ., 1991), for improving pest management strategies and for understanding ecological relationships with different environmental factors (Quinn et al ., 1991; Harrington et al ., 1995).…”

Section: Introductionmentioning

confidence: 99%

Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance

Cocu

Harrington

Hullé

et al. 2005

Agri and Forest Entomology

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1 A spatial autocorrelation analysis was undertaken to investigate the spatial structure of annual abundance for the pest aphid Myzus persicae collected in suction traps distributed across north-west Europe. 2 The analysis was applied at two different scales. The Moran index was used to estimate the degree of spatial autocorrelation at all sites within the study area (global level). The contributions of each site to the global index were identified by the use of a local indicator of spatial autocorrelation (LISA). A hierarchical cluster analysis was undertaken to highlight differences between groups of resulting correlograms. 3 Similarity between traps was shown to occur over large geographical distances, suggesting an impact of phenomena such as climatic gradients or land use types. 4 The presence of outliers and zones of similarity (hot-spots) and of dissimilarity (cold-spots) were identified indicating a strong impact of local effects. 5 Several groups of traps characterized by similarities in their local spatial structure (correlograms, value of Moran's I i ) also had similar values for land use variables (the area occupied by agricultural zones, forest and sea). 6 It is concluded that trap data can provide information about Myzus persicae that is representative of large geographical areas. Thus, trap data can be used to estimate the aerial abundance of this species, even if the suction traps are not regularly and densely distributed.

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“…Since communities consist of many species and vary in nonlinear fashions, they are complex and difficult to analyze. There have been numerous accounts of statistical analyses on communities through conventional multivariate analyses (e.g., Bunn et al 1986;Legendre and Legendre 1987;Ludwig and Reynolds 1988;Quinn et al 1991). The researches have been usually directed to classification of communities to ordination of multivariate data through eigen analyses.…”

Section: Artificial Neural Network and Non-linear Datamentioning

confidence: 99%

Ecological Informatics

Recknagel¹

2006

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Spatial and Temporal Changes in Aphid (Homoptera: Aphididae) Species Assemblages Collected with Suction Traps in Idaho

Cited by 14 publications

References 0 publications

Refuge habitats modify impact of insecticide disturbance on carabid beetle communities

Refuge habitats modify impact of insecticide disturbance on carabid beetle communities

Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance

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