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      Parasite biodiversity faces extinction and redistribution in a changing climate

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          Abstract

          Parasites face range loss and shifts under climate change, with likely parasite extinction rates of up to one in three species.

          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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          Making better Maxentmodels of species distributions: complexity, overfitting and evaluation

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            Making mistakes when predicting shifts in species range in response to global warming.

            Many attempts to predict the biotic responses to climate change rely on the 'climate envelope' approach, in which the current distribution of a species is mapped in climate-space and then, if the position of that climate-space changes, the distribution of the species is predicted to shift accordingly. The flaw in this approach is that distributions of species also reflect the influence of interactions with other species, so predictions based on climate envelopes may be very misleading if the interactions between species are altered by climate change. An additional problem is that current distributions may be the result of sources and sinks, in which species appear to thrive in places where they really persist only because individuals disperse into them from elsewhere. Here we use microcosm experiments on simple but realistic assemblages to show how misleading the climate envelope approach can be. We show that dispersal and interactions, which are important elements of population dynamics, must be included in predictions of biotic responses to climate change.
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              The ability of climate envelope models to predict the effect of climate change on species distributions

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                September 2017
                06 September 2017
                : 3
                : 9
                : e1602422
                Affiliations
                [1 ]Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA 94720, USA.
                [2 ]Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06268, USA.
                [3 ]Department of Invertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA.
                [4 ]Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
                [5 ]Environmental Science and Policy, University of California, Davis, Davis, CA 95616, USA.
                [6 ]ARC Centre of Excellence in Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia.
                [7 ]Department of Evolutionary Ecology, Estación Biológica de Doñana (CSIC), Americo Vespucio s/n, E-41092 Sevilla, Spain.
                [8 ]Ecology and Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI 48109, USA.
                [9 ]Zoological Institute, Russian Academy of Sciences, Universitetskaya Embankment 1, Saint Petersburg 199034, Russia.
                [10 ]Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
                [11 ]School of Mathematical Sciences, University of KwaZulu-Natal, Durban, South Africa.
                Author notes
                [* ]Corresponding author. Email: cjcarlson@ 123456berkeley.edu
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-6960-8434
                http://orcid.org/0000-0002-8375-2501
                Article
                1602422
                10.1126/sciadv.1602422
                5587099
                28913417
                7d68d03e-d5f5-415e-9700-7bff3d5ee8b9
                Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 05 October 2016
                : 08 August 2017
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: award344168
                Award ID: Discovery Grant
                Funded by: Ramon y Cajal research contract;
                Award ID: award344169
                Award ID: RYC-2009-03967
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Life Sciences
                Applied Ecology
                Custom metadata
                Justin Noriel

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