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      Habitat properties are key drivers of Borrelia burgdorferi ( s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments

      research-article
      1 , , 2 , 1 , 3 , 4 , 5 , 6 , 7 , 8 , 2 , 9 , 2 , 10 , 7 , 3 , 11 , 12 , 10 , 7 , 5 , 13 , 14 , 15 , 15 , 7 , 2 , 13 , 14
      Parasites & Vectors
      BioMed Central
      Climate gradient, Dilution habitat, Disease ecology, Ecosystem disservice, Functional ecology, Landscape epidemiology, Land-use change, Lyme disease risk, Multi-scale analysis, smallFOREST

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          Abstract

          Background

          The tick Ixodes ricinus has considerable impact on the health of humans and other terrestrial animals because it transmits several tick-borne pathogens (TBPs) such as B. burgdorferi ( sensu lato), which causes Lyme borreliosis (LB). Small forest patches of agricultural landscapes provide many ecosystem services and also the disservice of LB risk. Biotic interactions and environmental filtering shape tick host communities distinctively between specific regions of Europe, which makes evaluating the dilution effect hypothesis and its influence across various scales challenging. Latitude, macroclimate, landscape and habitat properties drive both hosts and ticks and are comparable metrics across Europe. Therefore, we instead assess these environmental drivers as indicators and determine their respective roles for the prevalence of B. burgdorferi in I. ricinus.

          Methods

          We sampled I. ricinus and measured environmental properties of macroclimate, landscape and habitat quality of forest patches in agricultural landscapes along a European macroclimatic gradient. We used linear mixed models to determine significant drivers and their relative importance for nymphal and adult B. burgdorferi prevalence. We suggest a new prevalence index, which is pool-size independent.

          Results

          During summer months, our prevalence index varied between 0 and 0.4 per forest patch, indicating a low to moderate disservice. Habitat properties exerted a fourfold larger influence on B. burgdorferi prevalence than macroclimate and landscape properties combined. Increasingly available ecotone habitat of focal forest patches diluted and edge density at landscape scale amplified B. burgdorferi prevalence. Indicators of habitat attractiveness for tick hosts (food resources and shelter) were the most important predictors within habitat patches. More diverse and abundant macro- and microhabitat had a diluting effect, as it presumably diversifies the niches for tick-hosts and decreases the probability of contact between ticks and their hosts and hence the transmission likelihood.

          Conclusions

          Diluting effects of more diverse habitat patches would pose another reason to maintain or restore high biodiversity in forest patches of rural landscapes. We suggest classifying habitat patches by their regulating services as dilution and amplification habitat, which predominantly either decrease or increase B. burgdorferi prevalence at local and landscape scale and hence LB risk. Particular emphasis on promoting LB-diluting properties should be put on the management of those habitats that are frequently used by humans. In the light of these findings, climate change may be of little concern for LB risk at local scales, but this should be evaluated further.

          Electronic supplementary material

          The online version of this article (10.1186/s13071-017-2590-x) contains supplementary material, which is available to authorized users.

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          Most cited references78

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          Rebuilding community ecology from functional traits.

          There is considerable debate about whether community ecology will ever produce general principles. We suggest here that this can be achieved but that community ecology has lost its way by focusing on pairwise species interactions independent of the environment. We assert that community ecology should return to an emphasis on four themes that are tied together by a two-step process: how the fundamental niche is governed by functional traits within the context of abiotic environmental gradients; and how the interaction between traits and fundamental niches maps onto the realized niche in the context of a biotic interaction milieu. We suggest this approach can create a more quantitative and predictive science that can more readily address issues of global change.
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            Plant species traits are the predominant control on litter decomposition rates within biomes worldwide.

            Worldwide decomposition rates depend both on climate and the legacy of plant functional traits as litter quality. To quantify the degree to which functional differentiation among species affects their litter decomposition rates, we brought together leaf trait and litter mass loss data for 818 species from 66 decomposition experiments on six continents. We show that: (i) the magnitude of species-driven differences is much larger than previously thought and greater than climate-driven variation; (ii) the decomposability of a species' litter is consistently correlated with that species' ecological strategy within different ecosystems globally, representing a new connection between whole plant carbon strategy and biogeochemical cycling. This connection between plant strategies and decomposability is crucial for both understanding vegetation-soil feedbacks, and for improving forecasts of the global carbon cycle.
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              Functional landscape heterogeneity and animal biodiversity in agricultural landscapes.

              Biodiversity in agricultural landscapes can be increased with conversion of some production lands into 'more-natural'- unmanaged or extensively managed - lands. However, it remains unknown to what extent biodiversity can be enhanced by altering landscape pattern without reducing agricultural production. We propose a framework for this problem, considering separately compositional heterogeneity (the number and proportions of different cover types) and configurational heterogeneity (the spatial arrangement of cover types). Cover type classification and mapping is based on species requirements, such as feeding and nesting, resulting in measures of 'functional landscape heterogeneity'. We then identify three important questions: does biodiversity increase with (1) increasing heterogeneity of the more-natural areas, (2) increasing compositional heterogeneity of production cover types and (3) increasing configurational heterogeneity of production cover types? We discuss approaches for addressing these questions. Such studies should have high priority because biodiversity protection globally depends increasingly on maintaining biodiversity in human-dominated landscapes. © 2010 Blackwell Publishing Ltd/CNRS.
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                Author and article information

                Contributors
                steffen.ehrmann@biologie.uni-freiburg.de , steffen.science@funroll-loops.de
                sanne.ruyts@ugent.be
                michael.scherer@biologie.uni-freiburg.de
                juergen.bauhus@waldbau.uni-freiburg.de
                jorg.brunet@slu.se
                sara.cousins@natgeo.su.se
                marc.deconchat@toulouse.inra.fr
                guillaume.decocq@u-picardie.fr
                pieter.defrenne@ugent.be
                pallieter.desmedt@ugent.be
                mdiekman@uni-bremen.de
                emilie.moron@u-picardie.fr
                stefanie.gaertner@nlp.bwl.de
                karin.hansen@ivl.se
                akolb@uni-bremen.de
                jonathan.lenoir@u-picardie.fr
                jessica.lindgren@natgeo.su.se
                naaf@zalf.de
                taavi.paal@ut.ee
                marcus.panning@uniklinik-freiburg.de
                maren-prinz@gmx.de
                aliciavaldes1501@gmail.com
                kris.verheyen@ugent.be
                mwulf@zalf.de
                jaan.liira@ut.ee
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                8 January 2018
                8 January 2018
                2018
                : 11
                : 23
                Affiliations
                [1 ]GRID grid.5963.9, Geobotany, Faculty of Biology, , University of Freiburg, ; Schänzlestr. 1, 79104 Freiburg, Germany
                [2 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Forest & Nature Lab, , Ghent University, ; Geraardsbergsesteenweg 267, B-9090 Melle-Gontrode, Belgium
                [3 ]GRID grid.5963.9, Faculty of Environment and Natural Resources, , University of Freiburg, ; Tennenbacherstr. 4, 79106 Freiburg, Germany
                [4 ]ISNI 0000 0000 8578 2742, GRID grid.6341.0, Southern Swedish Forest Research Centre, , Swedish University of Agricultural Sciences, ; Box 49, SE-230 53 Alnarp, Sweden
                [5 ]ISNI 0000 0004 1936 9377, GRID grid.10548.38, Landscape Ecology, Department of Geography and Quaternary Geology, , Stockholm University, ; SE-106 91 Stockholm, Sweden
                [6 ]DYNAFOR, Université de Toulouse, INRA, INPT, Chemin de Borde Rouge, CS 52627, F-31326 Castanet, France
                [7 ]ISNI 0000 0001 0789 1385, GRID grid.11162.35, UR “Ecologie et Dynamique des Systèmes Anthropisés” (EDYSAN, FRE 3498 CNRS-UPJV), , Jules Verne University of Picardie, ; 1 rue des Louvels, F-80037 Amiens Cedex 1, France
                [8 ]UF PRiMAX, Clinical Pharmacology Department, CHU Amiens-Picardie, Amiens, France
                [9 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Department of Plant Production, , Ghent University, ; Proefhoevestraat 22, BE-9090 Melle, Belgium
                [10 ]ISNI 0000 0001 2297 4381, GRID grid.7704.4, Faculty of Biology/Chemistry (FB 02), Institute of Ecology, Vegetation Ecology and Conservation Biology, , University of Bremen, ; Leobener Str. 5, 28359 Bremen, Germany
                [11 ]Black Forest National Park, Kniebisstraße 67, 77740 Bad Peterstal-Griesbach, Germany
                [12 ]ISNI 0000 0000 9987 7806, GRID grid.5809.4, Natural Resources & Environmental Effects, IVL Swedish Environmental Research Institute, ; Box 210 60, SE-100 31 Stockholm, Sweden
                [13 ]GRID grid.433014.1, Institute of Land Use Systems, Leibniz-ZALF (e.V.), ; Eberswalder Str. 84, 15374 Müncheberg, Germany
                [14 ]ISNI 0000 0001 0943 7661, GRID grid.10939.32, Institute of Ecology and Earth Sciences, , University of Tartu, ; Lai 40, EE-51005 Tartu, Estonia
                [15 ]ISNI 0000 0000 9428 7911, GRID grid.7708.8, Institute of Virology, , University Medical Center Freiburg, ; Hermann-Herder-Strasse 11, 79104 Freiburg, Germany
                Author information
                http://orcid.org/0000-0002-2958-0796
                Article
                2590
                10.1186/s13071-017-2590-x
                5759830
                29310722
                75bda04d-a7fb-4305-a4c0-681df711dd4a
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 April 2017
                : 13 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001862, Svenska Forskningsrådet Formas;
                Funded by: FundRef http://dx.doi.org/10.13039/501100002301, Eesti Teadusagentuur;
                Funded by: Deutsche Forschungsgemeinschaft (DE)
                Funded by: Federaal Wetenschapsbeleid (BE)
                Funded by: EcolChange Center of Excellence
                Funded by: Agence Nationale de la Recherche (FR)
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Parasitology
                climate gradient,dilution habitat,disease ecology,ecosystem disservice,functional ecology,landscape epidemiology,land-use change,lyme disease risk,multi-scale analysis,smallforest

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