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      Climatic and vegetational drivers of insect beta diversity at the continental scale

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          Abstract

          Aim

          We construct a framework for mapping pattern and drivers of insect diversity at the continental scale and use it to test whether and which environmental gradients drive insect beta diversity.

          Location

          Global; North and Central America; Western Europe.

          Time period

          21st century.

          Major taxa studied

          Insects.

          Methods

          An informatics system was developed to integrate terrestrial data on insects with environmental parameters. We mined repositories of data for distribution, climatic data were retrieved (WorldClim), and vegetation parameters inferred from remote sensing analysis (MODIS Vegetation Continuous Fields). Beta diversity between sites was calculated and then modeled with two methods, Mantel test with multiple regression and generalized dissimilarity modeling.

          Results

          Geographic distance was the main driver of insect beta diversity. Independent of geographic distance, bioclimate variables explained more variance in dissimilarity than vegetation variables, although the particular variables found to be significant were more consistent in the latter, particularly, tree cover. Tree cover gradients drove compositional dissimilarity at denser coverages, in both continental case studies. For climate, gradients in temperature parameters were significant in driving beta diversity more so than gradients in precipitation parameters.

          Main conclusions

          Although environmental gradients drive insect beta diversity independently of geography, the relative contribution of different climatic and vegetational parameters is not expected to be consistent in different study systems. With further incorporation of additional temporal information and variables, this approach will enable the development of a predictive framework for conserving insect biodiversity at the global scale.

          Abstract

          An informatics system was developed to integrate terrestrial data on insects with environmental parameters and to infer biogeographic maps. Beta diversity was driven by geographic, climatic, and vegetation gradients.

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          Most cited references47

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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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            Measuring beta diversity for presence-absence data

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              Functional diversity (FD), species richness and community composition

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                Author and article information

                Contributors
                kpchun@hkbu.edu.hk
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                11 December 2019
                December 2019
                : 9
                : 24 ( doiID: 10.1002/ece3.v9.24 )
                : 13764-13775
                Affiliations
                [ 1 ] Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
                [ 2 ] Forest Inventory and Remote Sensing Faculty of Forest Sciences and Forest Ecology Göttingen University Göttingen Germany
                [ 3 ] Northwest German Forest Research Institute Göttingen Germany
                [ 4 ] Department of Integrative Biology & Biodiversity Institute of Ontario University of Guelph Guelph ON Canada
                [ 5 ] Department of Geography Hong Kong Baptist University Kowloon Tong Hong Kong S. A. R. China
                [ 6 ] University of Chinese Academy of Sciences Beijing China
                Author notes
                [*] [* ] Correspondence

                Kwok‐Pan Chun, Department of Geography, Hong Kong Baptist University, Baptist University Road, Kowloon Tong, Hong Kong S. A. R., China.

                Email: kpchun@ 123456hkbu.edu.hk

                Author information
                https://orcid.org/0000-0001-7352-5770
                Article
                ECE35795
                10.1002/ece3.5795
                6953656
                31938480
                fc4c935e-d235-4570-89f1-c6c7d20ad825
                © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 August 2019
                : 29 September 2019
                : 05 October 2019
                Page count
                Figures: 6, Tables: 1, Pages: 12, Words: 7711
                Funding
                Funded by: Strategic Priority Research Program of the Chinese Academy of Sciences
                Award ID: XDB310304
                Funded by: National Science Fund for Distinguished Young Scholars
                Award ID: 31625024
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 31772495
                Award ID: 31850410464
                Funded by: CAS President's International Fellowship Initiative
                Award ID: 2015VBC058
                Award ID: 2018PB0003
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                December 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.4 mode:remove_FC converted:10.01.2020

                Evolutionary Biology
                beta diversity,climate,insects,remote sensing
                Evolutionary Biology
                beta diversity, climate, insects, remote sensing

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