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      Climate change and habitat fragmentation drive the occurrence of Borrelia burgdorferi, the agent of Lyme disease, at the northeastern limit of its distribution

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          Abstract

          Lyme borreliosis is rapidly emerging in Canada, and climate change is likely a key driver of the northern spread of the disease in North America. We used field and modeling approaches to predict the risk of occurrence of Borrelia burgdorferi, the bacteria causing Lyme disease in North America. We combined climatic and landscape variables to model the current and future (2050) potential distribution of the black-legged tick and the white-footed mouse at the northeastern range limit of Lyme disease and estimated a risk index for B. burgdorferi from these distributions. The risk index was mostly constrained by the distribution of the white-footed mouse, driven by winter climatic conditions. The next factor contributing to the risk index was the distribution of the black-legged tick, estimated from the temperature. Landscape variables such as forest habitat and connectivity contributed little to the risk index. We predict a further northern expansion of B. burgdorferi of approximately 250–500 km by 2050 – a rate of 3.5–11 km per year – and identify areas of rapid rise in the risk of occurrence of B. burgdorferi. Our results will improve understanding of the spread of Lyme disease and inform management strategies at the most northern limit of its distribution.

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          Uses and misuses of bioclimatic envelope modeling.

          Bioclimatic envelope models use associations between aspects of climate and species' occurrences to estimate the conditions that are suitable to maintain viable populations. Once bioclimatic envelopes are characterized, they can be applied to a variety of questions in ecology, evolution, and conservation. However, some have questioned the usefulness of these models, because they may be based on implausible assumptions or may be contradicted by empirical evidence. We review these areas of contention, and suggest that criticism has often been misplaced, resulting from confusion between what the models actually deliver and what users wish that they would express. Although improvements in data and methods will have some effect, the usefulness of these models is contingent on their appropriate use, and they will improve mainly via better awareness of their conceptual basis, strengths, and limitations.
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            Isolation by resistance.

            Brad McRae (2006)
            Despite growing interest in the effects of landscape heterogeneity on genetic structuring, few tools are available to incorporate data on landscape composition into population genetic studies. Analyses of isolation by distance have typically either assumed spatial homogeneity for convenience or applied theoretically unjustified distance metrics to compensate for heterogeneity. Here I propose the isolation-by-resistance (IBR) model as an alternative for predicting equilibrium genetic structuring in complex landscapes. The model predicts a positive relationship between genetic differentiation and the resistance distance, a distance metric that exploits precise relationships between random walk times and effective resistances in electronic networks. As a predictor of genetic differentiation, the resistance distance is both more theoretically justified and more robust to spatial heterogeneity than Euclidean or least cost path-based distance measures. Moreover, the metric can be applied with a wide range of data inputs, including coarse-scale range maps, simple maps of habitat and nonhabitat within a species' range, or complex spatial datasets with habitats and barriers of differing qualities. The IBR model thus provides a flexible and efficient tool to account for habitat heterogeneity in studies of isolation by distance, improve understanding of how landscape characteristics affect genetic structuring, and predict genetic and evolutionary consequences of landscape change.
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              Impact of climate change and other factors on emerging arbovirus diseases.

              While some skeptics remain unconvinced that global climate change is a reality, there is no doubt that during the past 50 years or so, patterns of emerging arbovirus diseases have changed significantly. Can this be attributed to climate change? Climate is a major factor in determining: (1) the geographic and temporal distribution of arthropods; (2) characteristics of arthropod life cycles; (3) dispersal patterns of associated arboviruses; (4) the evolution of arboviruses; and (5) the efficiency with which they are transmitted from arthropods to vertebrate hosts. Thus, under the influence of increasing temperatures and rainfall through warming of the oceans, and alteration of the natural cycles that stabilise climate, one is inevitably drawn to the conclusion that arboviruses will continue to emerge in new regions. For example, we cannot ignore the unexpected but successful establishment of chikungunya fever in northern Italy, the sudden appearance of West Nile virus in North America, the increasing frequency of Rift Valley fever epidemics in the Arabian Peninsula, and very recently, the emergence of Bluetongue virus in northern Europe. In this brief review we ask the question, are these diseases emerging because of climate change or do other factors play an equal or even more important role in their emergence?
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                Author and article information

                Journal
                Evol Appl
                Evol Appl
                eva
                Evolutionary Applications
                BlackWell Publishing Ltd (Oxford, UK )
                1752-4571
                1752-4571
                August 2014
                07 May 2014
                : 7
                : 7
                : 750-764
                Affiliations
                [1 ]Redpath Museum, McGill University Montreal, QC, Canada
                [2 ]Department of Biology, McGill University Montreal, QC, Canada
                [3 ]Ministère du Développement Durable, de l’Environnement, de la Faune et des Parcs du Québec City, QC, Canada
                [4 ]Département des Sciences Biologiques, Université de Montréal Montréal, QC, Canada
                [5 ]Zoonoses Division, Centre for Food-Borne, Environmental & Zoonotic Infectious Diseases, Public Health Agency of Canada Saint-Hyacinthe, QC, Canada
                [6 ]Groupe de recherche en épidémiologie des zoonoses et santé publique Faculté de Médecine Vétérinaire, Université de Montréal Saint-Hyacinthe, QC, Canada
                [7 ]Zoonoses & Special Pathogens Division, National Microbiology Laboratory, Public Health Agency of Canada Winnipeg, MB, Canada
                [8 ]Ouranos Consortium Montreal, QC, Canada
                [9 ]Institut National de Santé Publique du Québec Longueuil, QC, Canada
                Author notes
                Correspondence: Virginie Millien, Redpath Museum, McGill University, 859 Sherbrooke Street West, Montreal, QC H3A 0C4, Canada., Tel.: +1 514 398 4849;, fax: +1 514 398 5069; e-mail: virginie.millien@ 123456mcgill.ca
                Article
                10.1111/eva.12165
                4227856
                25469157
                9f0f3f86-6192-4425-8e3f-60668c468668
                © 2014 John Wiley & Sons Ltd

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 02 December 2013
                : 05 April 2014
                Categories
                Original Articles

                Evolutionary Biology
                climate change,emergence,habitat fragmentation,lyme disease,range shift,white-footed mouse

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