Nationwide survey of arthropods and molluscs on cut flowers in New Zealand

Dymock, J. J.; Holder, Peter

doi:10.1080/01140671.1996.9513959

Cited by 12 publications

(7 citation statements)

References 3 publications

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“…0) is the overall probability of detection, and p is the probability that the species will be present in any single observation unit (McArdle 1990). This formulation has had practical application in the design of detection surveys for forest (Carter 1989, Bulman et al 1999) and crop pests (Dymock and Holder 1996) and has been expanded to more complex, stratified sampling designs to detect rare species (McArdle 1990, Peterson andBayley 2004). If p is represented as the size of an infestation (a) relative to the total search area (A) (i.e., p ¼ a/A), then .1000 samples may be needed to detect an infestation as large as 800 ha from within a total search area of 8000 ha (Fig.…”

Section: Application To Surveillance For Pest Speciesmentioning

confidence: 99%

Using Habitat Suitability Index and Particle Dispersion Models for Early Detection of Marine Invaders

Inglis

Hurren

Oldman

et al. 2006

Ecological Applications

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Eradication and control of invasive species are often possible only if populations are detected when they are small and localized. To be efficient, detection surveys should be targeted at locations where there is the greatest risk of incursions. We examine the utility of habitat suitability index (HSI) and particle dispersion models for targeting sampling for marine pests. Habitat suitability index models are a simple way to identify suitable habitat when species distribution data are lacking. We compared the performance of HSI models with statistical models derived from independent data from New Zealand on the distribution of two nonindigenous bivalves: Theora lubrica and Musculista senhousia. Logistic regression models developed using the HSI scores as predictors of the presence/absence of Theora and Musculista explained 26.7% and 6.2% of the deviance in the data, respectively. Odds ratios for the HSI scores were greater than unity, indicating that they were genuine predictors of the presence/ absence of each species. The fit and predictive accuracy of each logistic model were improved when simulated patterns of dispersion from the nearest port were added as a predictor variable. Nevertheless, the combined model explained, at best, 46.5% of the deviance in the distribution of Theora and correctly predicted 56% of true presences and 50% of all cases. Omission errors were between 6% and 16%. Although statistical distribution models built directly from environmental predictors always outperformed the equivalent HSI models, the gain in model fit and accuracy was modest. High residual deviance in both types of model suggests that the distributions realized by Theora and Musculista in the field data were influenced by factors not explicitly modeled as explanatory variables and by error in the environmental data used to project suitable habitat for the species. Our results highlight the difficulty of accurately predicting the distribution of invasive marine species that exhibit low habitat occupancy and patchy distributions in time and space. Although the HSI and statistical models had utility as predictors of the likely distribution of nonindigenous marine species, the level of spatial accuracy achieved with them may be well below expectations for sensitive surveillance programs.

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Section: Application To Surveillance For Pest Speciesmentioning

confidence: 99%

Using Habitat Suitability Index and Particle Dispersion Models for Early Detection of Marine Invaders

Inglis

Hurren

Oldman

et al. 2006

Ecological Applications

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“…of sites sampled, p i ¼ probability of the species occurring in a single site, and p j ¼ probability of the species being sampled if it is present at the location (i.e. 'sampling efficiency') (Dymock and Holder 1996). Based on travel times between sites, we estimated that in the time available we could sample around 150 sites if a 1 h deployment was used, 100 sites if a 3 h deployment was used, and 50 sites if the traps were left deployed overnight.…”

Section: Numbermentioning

confidence: 99%

Adaptive Multi-scale Sampling to Determine an Invasive Crab’s Habitat Usage and Range in New Zealand

Gust¹,

Inglis²

2006

Biol Invasions

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Patterns of local abundance and geographical distribution are often prime correlates of invasive species' impacts on native ecosystems. Here we adaptively increased the spatial scale of delimitation surveys to determine the local abundance, range and habitat associations of the introduced portunid Charybdis japonica (Milne-Edwards, 1861) in New Zealand. The crab was first discovered in Auckland's Waitemata Harbour in September 2000, and by April 2002 trapping surveys revealed the invader had spread widely throughout the Harbour. Experiments using three deployment times (1, 3 and 24 h) optimized detection rates prior to larger scale geographic surveys that defined the range of the introduced population. We surveyed >300 sites in coastal waters within the predicted range of larval dispersal and then 14 major shipping ports throughout New Zealand. C. japonica was abundant in the Waitemata Harbour and present in two nearby estuaries, but there was no evidence of spread to other shipping ports nationwide. Subtidal habitat associations were explored in the main area of infestation which indicated that the invader occupied a range of substrata from fine, silty muds to coarse, shelly sands. Although its distribution overlaps with the native portunid crab Ovalipes catharus, the invader was more abundant throughout Waitemata Harbour and occurred in muddy sediments where native portunids are rare. It is not yet clear whether the C. japonica population in New Zealand is self-sustaining, however if it persists and continues to spread, it is likely to have significant impacts on native estuarine benthic assemblages.

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“…Although its common name is oleander scale, it exhibits extreme polyphagy, having been recorded from 107 families of plants (Ben-Dov 2009a). A. nerii is a pest of citrus (Anonymous 2004), kiwifruit Curkovic 1994, Edwards et al 2008), olives (Argyriou 1990), and a variety of other fruits and ornamentals (Dymock and Holder 1996, Berlinger et al 1999, Germain and Matile-Ferrero 2005. It has long been apparent that A. nerii comprises a complex of cryptic lineages, because both sexual and parthenogenetic lineages are known (Gerson and Hazan 1979), a phenomenon observed in Ͼ20 other species of armored scale insects (Brown 1965, Nur 1990, Normark 2003.…”

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confidence: 99%

Cryptic Diversity in the Aspidiotus nerii Complex in Australia

Andersen

Gruwell

Morse

et al. 2010

Annals of the Entomological Society of America

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Aspidiotus nerii Bouché (Hemiptera: Diaspididae), oleander scale, is a cosmopolitan pest that feeds on >100 families of plants. A previous study of mitochondrial DNA variation in A. nerii suggested a possible Australian origin for the species. Here, we expand upon that study to include four gene regions and multiple Australian samples. We sequenced fragments of three nuclear genes (CAD, elongation factor 1α, and 28S rDNA) and one mitochondrial region (spanning parts of cytochrome oxidase I and II), for a total aligned sequence length of 2448 bp, from 22 individuals identified as A. nerii. We infer an allele genealogy for each gene region, and we interpret branches that are congruent across gene regions as indicative of species boundaries. Using this criterion, we recognize three species within our sample of A. nerii. One of these corresponds to the cosmopolitan pest species and the other two are found only in Australia. The two putative Australian species have overlapping ranges and both are found on multiple hosts. Contrary to previous suggestions, the cosmopolitan sexual and parthenogenetic lineages of A. nerii are not recognized as distinct species by both of our methods of phylogenetic reconstruction. Cryptic diversity within what seem to be single cosmopolitan armored scale insect species is a potential serious problem for plant quarantine.

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Nationwide survey of arthropods and molluscs on cut flowers in New Zealand

Cited by 12 publications

References 3 publications

Using Habitat Suitability Index and Particle Dispersion Models for Early Detection of Marine Invaders

Using Habitat Suitability Index and Particle Dispersion Models for Early Detection of Marine Invaders

Adaptive Multi-scale Sampling to Determine an Invasive Crab’s Habitat Usage and Range in New Zealand

Cryptic Diversity in the Aspidiotus nerii Complex in Australia

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