Radiotelemetry unravels movements of a walking insect species in heterogeneous environments

Vinatier, Fabrice; Chailleux, Anaïs; Duyck, Pierre François; Salmon, Frédéric; Lescourret, Françoise; Tixier, Philippe

doi:10.1016/j.anbehav.2010.04.022

Cited by 54 publications

(54 citation statements)

References 58 publications

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“…those that are usually sampled with pitfall traps, is known to be 30-40 m [32]. Meanwhile, typical dispersal distances for walking insects are estimated to be 1 m or less per day [33], which obviously corresponds to a diffusivity of the order of 1 m 2 day −1 . Over 1 week of trap exposure, that results in a diffusion length of √ 7 ≈ 2.6 m, which is about one order of magnitude less than the spatial scale of inherent variation.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of peak functions on ultra-coarse grids

Petrovskaya

Embleton

2013

Proc. R. Soc. A.

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Integration of sampled data arises in many practical applications, where the integrand function is available from experimental measurements only. One extensive field of research is the problem of pest monitoring and control where an accurate evaluation of the population size from the spatial density distribution is required for a given pest species. High aggregation population density distributions (peak functions) are an important class of data that often appear in this problem. The main difficulty associated with the integration of such functions is that the function values are usually only available at a few locations; therefore, new techniques are required to evaluate the accuracy of integration as the standard approach based on convergence analysis does not work when the data are sparse. Thus, in this paper, we introduce the new concept of ultra-coarse grids for high aggregation density distributions. Integration of the density function on ultra-coarse grids cannot provide the prescribed accuracy because of insufficient information (uncertainty) about the integrand function. Instead, the results of the integration should be treated probabilistically by considering the integration error as a random variable, and we show how the corresponding probabilities can be calculated. Handling the integration error as a random variable allows us to evaluate the accuracy of integration on very coarse grids where asymptotic error estimates cannot be applied.

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Section: Discussionmentioning

confidence: 99%

Evaluation of peak functions on ultra-coarse grids

Petrovskaya

Embleton

2013

Proc. R. Soc. A.

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“…The harmonic radar technique has been applied successfully to study both dispersal and foraging behaviour of ground-living carabid beetles (Wallin and Ekbom 1988), as well as real-time analysis of foraging and mating behaviours in flying insects, such as bees (Capaldi et al 2000), bumblebees (Osborne et al 1999), butterflies (Ovaskainen et al 2008), and moths (Svensson et al 2001). In addition, radio telemetry has been used to track movements of beetles, both ground-living and flying species (Rieken and Raths 1996;Beaudoin-Ollivier et al 2003;Rink and Sinsch 2007;Vinatier et al 2010;Hedin et al 2008), as well as foraging bees (Pasquet et al 2008), and the further miniaturisation of radio transmitters (Naef-Daenzer et al 2005) will allow for studies of even smaller insects in the future.…”

Section: Introductionmentioning

confidence: 99%

Should I stay or should I go? Modelling dispersal strategies in saproxylic insects based on pheromone capture and radio telemetry: a case study on the threatened hermit beetle Osmoderma eremita

et al. 2011

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To predict how organisms cope with habitat fragmentation we must understand their dispersal biology, which can be notoriously difficult. We used a novel, multi-pronged approach to study dispersal strategies in the endangered saproxylic hermit beetle Osmoderma eremita, exploiting its pheromone system to intercept high numbers of dispersing individuals, which is not possible with other methods. Mark-release-recapture, using unbaited pitfall traps inside oak hollows and pheromone-baited funnel traps suspended from tree branches, was combined with radio telemetry (in females only) to record displacements. Dispersal, modelled as a probability distribution of net displacement, did not differ significantly between sexes (males versus females recaptured), observation methods (females recaptured versus radio-tracked), or sites of first capture (pitfall trap in tree versus pheromone trap -distance from original dispersal point unknown). A model including all observed individuals yielded a mean displacement of 82 m with 1% dispersing [ 1 km. Differences in body length were small between individuals captured in pitfall versus pheromone traps, indicating that dispersal is rarely a condition-dependent response in O. eremita. Individuals captured in pheromone traps were consistently lighter, indicating that most dispersal events occur relatively late in life, which agrees with trap catch data. In addition, most (79%) females captured in pheromone traps were mated, showing that females typically mate before leaving their natal tree. Our data show that integrating odour attractants into insect conservation biology provides a means to target dispersing individuals and could greatly improve our knowledge of dispersal biology in threatened species.

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“…However, the information obtained in this way is local in the sense that it only reflects the pest abundance in a certain vicinity of the trap. Indeed, typical dispersal distances for walking insects are estimated to be on the order of 1 meter or less per day [172], which obviously corresponds to the diffusion coefficient D ∼ 1 m 2 day −1 . Assume that counts are collected daily.…”

Section: Single Field Problem: Multiple Trapsmentioning

confidence: 99%

Multiscale approach to pest insect monitoring: Random walks, pattern formation, synchronization, and networks

Petrovskii

Petrovskaya

Bearup

2014

Physics of Life Reviews

104

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Pest insects pose a significant threat to food production worldwide resulting in annual losses worth hundreds of billions of dollars. Pest control attempts to prevent pest outbreaks that could otherwise destroy a sward. It is good practice in integrated pest management to recommend control actions (usually pesticides application) only when the pest density exceeds a certain threshold. Accurate estimation of pest population density in ecosystems, especially in agro-ecosystems, is therefore very important, and this is the overall goal of the pest insect monitoring. However, this is a complex and challenging task; providing accurate information about pest abundance is hardly possible without taking into account the complexity of ecosystems' dynamics, in particular, the existence of multiple scales. In the case of pest insects, monitoring has three different spatial scales, each of them having their own scale-specific goal and their own approaches to data collection and interpretation. In this paper, we review recent progress in mathematical models and methods applied at each of these scales and show how it helps to improve the accuracy and robustness of pest population density estimation.

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Radiotelemetry unravels movements of a walking insect species in heterogeneous environments

Cited by 54 publications

References 58 publications

Evaluation of peak functions on ultra-coarse grids

Evaluation of peak functions on ultra-coarse grids

Should I stay or should I go? Modelling dispersal strategies in saproxylic insects based on pheromone capture and radio telemetry: a case study on the threatened hermit beetle Osmoderma eremita

Multiscale approach to pest insect monitoring: Random walks, pattern formation, synchronization, and networks

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