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Parasite biodiversity faces extinction and redistribution in a changing climate

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TLDR
The most comprehensive spatially explicit data set available for parasites, projected range shifts in a changing climate, and estimated extinction rates for eight major parasite clades is compiled, finding that ectoparasites (especially ticks) fare disproportionately worse than endopar asites.
Abstract
Climate change is a well-documented driver of both wildlife extinction and disease emergence, but the negative impacts of climate change on parasite diversity are undocumented. We compiled the most comprehensive spatially explicit data set available for parasites, projected range shifts in a changing climate, and estimated extinction rates for eight major parasite clades. On the basis of 53,133 occurrences capturing the geographic ranges of 457 parasite species, conservative model projections suggest that 5 to 10% of these species are committed to extinction by 2070 from climate-driven habitat loss alone. We find no evidence that parasites with zoonotic potential have a significantly higher potential to gain range in a changing climate, but we do find that ectoparasites (especially ticks) fare disproportionately worse than endoparasites. Accounting for host-driven coextinctions, models predict that up to 30% of parasitic worms are committed to extinction, driven by a combination of direct and indirect pressures. Despite high local extinction rates, parasite richness could still increase by an order of magnitude in some places, because species successfully tracking climate change invade temperate ecosystems and replace native species with unpredictable ecological consequences.

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References
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Journal ArticleDOI

Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria.

TL;DR: It is demonstrated that models that are inappropriately complex or inappropriately simple show reduced ability to infer habitat quality, reduced able to infer the relative importance of variables in constraining species' distributions, and reduced transferability to other time periods.
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Accelerating extinction risk from climate change

TL;DR: Estimating a global mean extinction rate was synthesized in order to determine which factors contribute the greatest uncertainty to climate change–induced extinction risks and suggest that extinction risks will accelerate with future global temperatures.
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Validation of species-climate impact models under climate change

TL;DR: In this article, the authors provided a first independent validation of four envelope modelling techniques under climate change. And they showed good to fair predictive performance on independent validation, although rules used to assess model performance are difficult to interpret in decision-planning context.
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Rethinking receiver operating characteristic analysis applications in ecological niche modeling

TL;DR: It is shown that, comparing two ROCs, using the AUC systematically undervalues models that do not provide predictions across the entire spectrum of proportional areas in the study area.
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ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models

TL;DR: ENMeval as mentioned in this paper is an R package that creates data sets for k-fold cross-validation using one of several methods for partitioning occurrence data (including options for spatially independent partitions), builds a series of candidate models using Maxent with a variety of user-defined settings and provides multiple evaluation metrics to aid in selecting optimal model settings.
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Trending Questions (1)
How do climate change and global warming affect the worm population?

The paper does not specifically mention the impact of climate change and global warming on the worm population. The paper focuses on the overall impact of climate change on parasite biodiversity, including parasitic worms.