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      Projected impacts of climate change on functional diversity of frugivorous birds along a tropical elevational gradient

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          Abstract

          Climate change forces many species to move their ranges to higher latitudes or elevations. Resulting immigration or emigration of species might lead to functional changes, e. g., in the trait distribution and composition of ecological assemblages. Here, we combined approaches from biogeography (species distribution models; SDMs) and community ecology (functional diversity) to investigate potential effects of climate-driven range changes on frugivorous bird assemblages along a 3000 m elevational gradient in the tropical Andes. We used SDMs to model current and projected future occurrence probabilities of frugivorous bird species from the lowlands to the tree line. SDM-derived probabilities of occurrence were combined with traits relevant for seed dispersal of fleshy-fruited plants to calculate functional dispersion (FDis; a measure of functional diversity) for current and future bird assemblages. Comparisons of FDis between current and projected future assemblages showed consistent results across four dispersal scenarios, five climate models and two representative concentration pathways. Projections indicated a decrease of FDis in the lowlands, an increase of FDis at lower mid-elevations and little changes at high elevations. This suggests that functional dispersion responds differently to global warming at different elevational levels, likely modifying avian seed dispersal functions and plant regeneration in forest ecosystems along tropical mountains.

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          Ecological and Evolutionary Responses to Recent Climate Change

          Ecological changes in the phenology and distribution of plants and animals are occurring in all well-studied marine, freshwater, and terrestrial groups. These observed changes are heavily biased in the directions predicted from global warming and have been linked to local or regional climate change through correlations between climate and biological variation, field and laboratory experiments, and physiological research. Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change. Tropical coral reefs and amphibians have been most negatively affected. Predator-prey and plant-insect interactions have been disrupted when interacting species have responded differently to warming. Evolutionary adaptations to warmer conditions have occurred in the interiors of species' ranges, and resource use and dispersal have evolved rapidly at expanding range margins. Observed genetic shifts modulate local effects of climate change, but there is little evidence that they will mitigate negative effects at the species level.
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            New multidimensional functional diversity indices for a multifaceted framework in functional ecology.

            Functional diversity is increasingly identified as an important driver of ecosystem functioning. Various indices have been proposed to measure the functional diversity of a community, but there is still no consensus on which are most suitable. Indeed, none of the existing indices meets all the criteria required for general use. The main criteria are that they must be designed to deal with several traits, take into account abundances, and measure all the facets of functional diversity. Here we propose three indices to quantify each facet of functional diversity for a community with species distributed in a multidimensional functional space: functional richness (volume of the functional space occupied by the community), functional evenness (regularity of the distribution of abundance in this volume), and functional divergence (divergence in the distribution of abundance in this volume). Functional richness is estimated using the existing convex hull volume index. The new functional evenness index is based on the minimum spanning tree which links all the species in the multidimensional functional space. Then this new index quantifies the regularity with which species abundances are distributed along the spanning tree. Functional divergence is measured using a novel index which quantifies how species diverge in their distances (weighted by their abundance) from the center of gravity in the functional space. We show that none of the indices meets all the criteria required for a functional diversity index, but instead we show that the set of three complementary indices meets these criteria. Through simulations of artificial data sets, we demonstrate that functional divergence and functional evenness are independent of species richness and that the three functional diversity indices are independent of each other. Overall, our study suggests that decomposition of functional diversity into its three primary components provides a meaningful framework for its quantification and for the classification of existing functional diversity indices. This decomposition has the potential to shed light on the role of biodiversity on ecosystem functioning and on the influence of biotic and abiotic filters on the structure of species communities. Finally, we propose a general framework for applying these three functional diversity indices.
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              Selecting pseudo-absences for species distribution models: how, where and how many?

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                Author and article information

                Contributors
                bender.ima@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 November 2019
                27 November 2019
                2019
                : 9
                : 17708
                Affiliations
                [1 ]GRID grid.421064.5, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, ; 04103 Leipzig, Germany
                [2 ]ISNI 0000 0001 0679 2801, GRID grid.9018.0, Institute of Biology, Geobotany and Botanical Garden, , Martin Luther University Halle-Wittenberg, ; 06108 Halle, Germany
                [3 ]Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
                [4 ]ISNI 0000000084992262, GRID grid.7177.6, Institute for Biodiversity and Ecosystem Dynamics (IBED), , University of Amsterdam, ; P.O. Box 94240, 1090 GE Amsterdam, the Netherlands
                [5 ]ISNI 0000 0004 1936 9721, GRID grid.7839.5, Goethe University Frankfurt, Institute for Ecology, Evolution & Diversity, Biologicum, ; 60439 Frankfurt am Main, Germany
                [6 ]ISNI 0000 0004 0492 3830, GRID grid.7492.8, Helmholtz Centre for Environmental Research - UFZ, Department Community Ecology, ; 06120 Halle, Germany
                [7 ]ISNI 0000 0001 2216 5875, GRID grid.452935.c, Zoological Research Museum Alexander Koenig, Section Ornithology, ; 53113 Bonn, Germany
                [8 ]ISNI 0000 0004 0492 3830, GRID grid.7492.8, Helmholtz Centre for Environmental Research - UFZ, Department Ecological Modelling, ; 04318 Leipzig, Germany
                [9 ]ISNI 0000 0001 2179 1970, GRID grid.21006.35, Centre for Integrative Ecology, School of Biological Sciences, , University of Canterbury, Private Bag 4800, ; Christchurch, 8140 New Zealand
                Author information
                http://orcid.org/0000-0003-2477-6789
                http://orcid.org/0000-0002-7274-6755
                http://orcid.org/0000-0001-9426-045X
                Article
                53409
                10.1038/s41598-019-53409-6
                6881284
                31776351
                870d5c60-2576-478f-9f8e-a66f72475fda
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 May 2018
                : 26 October 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001827, Universiteit van Amsterdam (University of Amsterdam);
                Award ID: Starting grant
                Award Recipient :
                Funded by: Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz’ of Hesse’s Ministry of Higher Education, Research, and the Arts
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                biodiversity,biogeography,climate-change ecology,ecological modelling,ecological networks

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