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Candau, J.-N.

Publications and source records attributed to Candau, J.-N..

2 recordsLinked to original sources

Characterizing Eastern spruce budworm's large-scale dispersal events through flight behavior and stable isotope analyses

Eastern spruce budworm moth (Choristoneura fumiferana (Clem.)) mass outbreaks have widespread economic and ecological consequences. A key explanation for the large-scale spread and synchronization of these outbreaks is the long-distance dispersal (up to 450km) of moths from hotspots (high-density populations) to lower-density areas. These events have proved difficult to monitor because dispersal flights occur only a few times a year, have no consistent routes, and commonly used tracking methods (e.g., population genetics, mark-recapture, radio telemetry) are inadequate for this system. Distinguishing between local and immigrant individuals is a crucial step in identifying the physical and ecological drivers of moth dispersal. Here we test whether isotopes of hydrogen (i.e., delta notation:{delta} 2H) and strontium (i.e., strontium isotope ratios: 87Sr/86Sr), known to independently vary in space in a predictable manner, can be used to distinguish between local and immigrant adult spruce budworm moths. We used an automated pheromone trap system to collect individuals at six different sites in eastern Canada within and outside the current outbreak area of budworm moths. We first use moth flight behaviour and time of capture, currently the best available tool, to determine putative local vs. immigrant status, and then evaluate whether individual 87Sr/86Sr and{delta} 2H differ between putative classes. At all sites, we detect immigrant individuals that differ significantly from putative locals. Saliently, sites where putative locals were sampled before the occurrence of potential immigration events (~10 days) showed the strongest differences between immigrant individuals and the locals 87Sr/86Sr and{delta} 2H values. Sites where the collection of putative locals was close in time (hours) or following an immigration event had a less-clear distinction between putative immigrants and locals, and showed signs of mixing between these two groups. We speculate that recent immigration could have led to the misclassification of immigrants as putative locals. 87Sr/86Sr and{delta} 2H data generally support the adequacy of current approaches using capture-time to detect immigration events, and provide enhanced resolution to distinguish between local and immigrant individuals. We discuss the broader implication of adding isotopes to the toolkit to monitor spruce budworm dispersal and suggest next steps in implementing these tools.

ecology↗

Predicting the temperature-driven development of stage-structured insect populations with a Bayesian hierarchical model

The management of forest pests relies on an accurate understanding of the species phenology. Thermal performance curves (TPCs) have traditionally been used to model insect phenology; many such models have been proposed and fitted to data from both wild and laboratory-reared populations, most of which have used maximum likelihood estimation (MLE). Analyses typically present point estimates of parameters with confidence intervals, but estimates of the correlations among TPC parameters are rarely provided. Neglecting aspects of model uncertainty such as correlation among parameters may lead to incorrect confidence intervals of predictions. This paper implements a Bayesian hierarchical model of insect phenology incorporating individual variation, quadratic variation in development rates across insects larval stages, and non-parametric adjustment terms that allow for deviations from a parametric TPC. We use Hamiltonian Monte Carlo (HMC) for estimation; the model is fitted to a laboratory-reared spruce budworm population as a case study. We assessed the accuracy of the model using stratified, 10-fold cross-validation. Using the posterior samples, we found prediction intervals for spruce budworm development for a given year.

ecology↗