2013
DOI: 10.1111/gcb.12255
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Predicting shifts in parasite distribution with climate change: a multitrophic level approach

Abstract: Climate change likely will lead to increasingly favourable environmental conditions for many parasites. However, predictions regarding parasitism's impacts often fail to account for the likely variability in host distribution and how this may alter parasite occurrence. Here, we investigate potential distributional shifts in the meningeal worm, Parelaphostrongylosis tenuis, a protostrongylid nematode commonly found in white-tailed deer in North America, whose life cycle also involves a free-living stage and a g… Show more

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Cited by 62 publications
(66 citation statements)
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“…Anthropogenic climate change is likely to increase the rate at which novel infectious diseases enter the human population. This is because as the climate warms, the vector organisms that transmit many dangerous human infections will increase their range [59, 60]. This already is being proposed as a causal factor in the spread of the Zika virus [61].…”
Section: Resultsmentioning
confidence: 99%
“…Anthropogenic climate change is likely to increase the rate at which novel infectious diseases enter the human population. This is because as the climate warms, the vector organisms that transmit many dangerous human infections will increase their range [59, 60]. This already is being proposed as a causal factor in the spread of the Zika virus [61].…”
Section: Resultsmentioning
confidence: 99%
“…Very recently the use of transcriptomics to integrate eco-toxicogenomics into marine health evaluation has been assessed [107] via contamination-associated gene expression markers. Parasites themselves have been shown to be useful markers of ecosystem status and its response to change [108,109], including response to climate change [110]. The employment of eDNA methods for such studies can be very effective if appropriate sampling and molecular strategies are chosen (Boxes 1 and 2), both reducing sampling effort and maximizing sampling coverage.…”
Section: Potential For Development Of Edna Methods In Parasitologymentioning
confidence: 99%
“…MaxEnt assumes that sampling of presence locations is unbiased; biased sampling promotes model inaccuracy (Phillips et al, 2006). The bias grid is used to down-weigh the importance of presence records from areas with more intense sampling (i.e., areas with a high density of presence records, Elith et al, 2010), and has been used previously in large-scale distribution modeling (Peers et al, 2012;Pickles et al, 2013). Use of harvest records adds additional spatial bias owing to jurisdictional differences in spatial extent of traplines and therefore location uncertainty.…”
Section: Model Developmentmentioning
confidence: 99%