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      A complete time-calibrated multi-gene phylogeny of the European butterflies

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          Abstract

          With the aim of supporting ecological analyses in butterflies, the third most species-rich superfamily of Lepidoptera , this paper presents the first time-calibrated phylogeny of all 496 extant butterfly species in Europe, including 18 very localised endemics for which no public DNA sequences had been available previously. It is based on a concatenated alignment of the mitochondrial gene COI and up to eleven nuclear gene fragments, using Bayesian inferences of phylogeny. To avoid analytical biases that could result from our region-focussed sampling, our European tree was grafted upon a global genus-level backbone butterfly phylogeny for analyses. In addition to a consensus tree, the posterior distribution of trees and the fully concatenated alignment are provided for future analyses. Altogether a complete phylogenetic framework of European butterflies for use by the ecological and evolutionary communities is presented.

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          How to make more out of community data? A conceptual framework and its implementation as models and software.

          Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities (HMSC) as a general, flexible framework for modern analysis of community data. While non-manipulative data allow for only correlative and not causal inference, this framework facilitates the formulation of data-driven hypotheses regarding the processes that structure communities. We model environmental filtering by variation and covariation in the responses of individual species to the characteristics of their environment, with potential contingencies on species traits and phylogenetic relationships. We capture biotic assembly rules by species-to-species association matrices, which may be estimated at multiple spatial or temporal scales. We operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and implement it as R- and Matlab-packages which enable computationally efficient analyses of large data sets. Armed with this tool, community ecologists can make sense of many types of data, including spatially explicit data and time-series data. We illustrate the use of this framework through a series of diverse ecological examples.
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            Consequences of climate change on the tree of life in Europe.

            Many species are projected to become vulnerable to twenty-first-century climate changes, with consequent effects on the tree of life. If losses were not randomly distributed across the tree of life, climate change could lead to a disproportionate loss of evolutionary history. Here we estimate the consequences of climate change on the phylogenetic diversities of plant, bird and mammal assemblages across Europe. Using a consensus across ensembles of forecasts for 2020, 2050 and 2080 and high-resolution phylogenetic trees, we show that species vulnerability to climate change clusters weakly across phylogenies. Such phylogenetic signal in species vulnerabilities does not lead to higher loss of evolutionary history than expected with a model of random extinctions. This is because vulnerable species have neither fewer nor closer relatives than the remaining clades. Reductions in phylogenetic diversity will be greater in southern Europe, and gains are expected in regions of high latitude or altitude. However, losses will not be offset by gains and the tree of life faces a trend towards homogenization across the continent.
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              Ecophylogenetics: advances and perspectives.

              Ecophylogenetics can be viewed as an emerging fusion of ecology, biogeography and macroevolution. This new and fast-growing field is promoting the incorporation of evolution and historical contingencies into the ecological research agenda through the widespread use of phylogenetic data. Including phylogeny into ecological thinking represents an opportunity for biologists from different fields to collaborate and has provided promising avenues of research in both theoretical and empirical ecology, towards a better understanding of the assembly of communities, the functioning of ecosystems and their responses to environmental changes. The time is ripe to assess critically the extent to which the integration of phylogeny into these different fields of ecology has delivered on its promise. Here we review how phylogenetic information has been used to identify better the key components of species interactions with their biotic and abiotic environments, to determine the relationships between diversity and ecosystem functioning and ultimately to establish good management practices to protect overall biodiversity in the face of global change. We evaluate the relevance of information provided by phylogenies to ecologists, highlighting current potential weaknesses and needs for future developments. We suggest that despite the strong progress that has been made, a consistent unified framework is still missing to link local ecological dynamics to macroevolution. This is a necessary step in order to interpret observed phylogenetic patterns in a wider ecological context. Beyond the fundamental question of how evolutionary history contributes to shape communities, ecophylogenetics will help ecology to become a better integrative and predictive science. © 2012 CNRS. Biological Reviews © 2012 Cambridge Philosophical Society.
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                Author and article information

                Contributors
                Journal
                Zookeys
                Zookeys
                2
                urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E
                urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A
                ZooKeys
                Pensoft Publishers
                1313-2989
                1313-2970
                2020
                04 June 2020
                : 938
                : 97-124
                Affiliations
                [1 ] Senckenberg Deutsches Entomologisches Institut, Eberswalder Straße 90, 15374, Müncheberg, Germany UFZ – Helmholtz Centre for Environmental Research Halle Germany
                [2 ] UFZ – Helmholtz Centre for Environmental Research, Department of Community Ecology, Theodor-Lieser-Str. 4, 06120, Halle, Germany Senckenberg Deutsches Entomologisches Institut Müncheberg Germany
                [3 ] Department of Biology, Lund University, 22362, Lund, Sweden Lund University Lund Sweden
                [4 ] Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30, Gothenburg, Sweden University of Gothenburg Gothenburg Sweden
                [5 ] Gothenburg Global Biodiversity Centre, Box 461, 405 30, Gothenburg, Sweden Gothenburg Global Biodiversity Centre Gothenburg Sweden
                [6 ] Department of Zoology, Stockholm University, 10691, Stockholm, Sweden Stockholm University Stockholm Sweden
                Author notes
                Corresponding author: Martin Wiemers ( martin.wiemers@ 123456senckenberg.de )

                Academic editor: R. Rougerie

                Author information
                https://orcid.org/0000-0001-5272-3903
                https://orcid.org/0000-0002-1259-3363
                Article
                50878
                10.3897/zookeys.938.50878
                7289901
                32550787
                26f7b645-fbe6-402a-8289-c99afe8cdd3c
                Martin Wiemers, Nicolas Chazot, Christopher Wheat, Oliver Schweiger, Niklas Wahlberg

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 06 February 2020
                : 03 April 2020
                Funding
                Department of Biology, Lund University BECC (Biodiversity and Ecosystem services in a Changing Climate) iDiv through the sDiv working group sECURE (https://www.idiv.de/secure)
                Categories
                Data Paper
                Papilionoidea
                Molecular Systematics
                Phylogeny
                Neogene
                Europe

                Animal science & Zoology
                butterflies of europe,divergence times,macroecology,phylogeny,time tree
                Animal science & Zoology
                butterflies of europe, divergence times, macroecology, phylogeny, time tree

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