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      Legacy of pre‐eruption vegetation affects ground‐dwelling arthropod communities after different types of volcanic disturbance

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          Abstract

          Volcanic eruptions are one of the largest natural disturbances and are followed by the establishment of novel plant and animal communities in terrestrial ecosystems. However, the role of pre‐eruption vegetation in the establishment of arthropod communities after volcanic disturbances is currently unknown. Here, we asked whether the legacy of pre‐eruption vegetation mediates the community structure of ground‐dwelling arthropods after volcanic disturbances. The 2015 eruption in Kuchinoerabu‐jima Island, southwest Japan, caused two types of disturbances [a pyroclastic flow and a lahar (i.e., mudflow)] in three types of forests (broad‐leaved, black pine, and cedar). We hypothesized that pre‐eruption vegetation would influence the community structure of ground‐dwelling arthropods after the disturbance, and we expected that these effects from vegetation would be more prevalent for the less severe disturbances. The total abundance of ground‐dwelling arthropods decreased more in the lahar than the pyroclastic flow, and arthropod species composition showed a greater change after the lahar. These findings suggest that the lahar disturbance was more severe than the pyroclastic disturbance. Contrary to expectations, the difference in the arthropod species composition among the vegetation types was greatest after the lahar. After the pyroclastic flow, leaf litter remained to some degree with all the vegetation types. After the lahar disturbance, however, although the litter in the cedar forests remained, the litter disappeared completely from broad‐leaved and black pine forests. The disappearance of litter from these two forest types after the lahar may be responsible for the greater difference in arthropod species composition among the vegetation types. This study shows that the legacy effects of pre‐eruption vegetation on terrestrial arthropod communities after volcanic disturbance were different depending on the type of disturbance. Focusing on the role of pre‐eruption biotic factors would contribute to a better understanding of the recovery processes of terrestrial ecosystems after large natural disturbances.

          Abstract

          Our paper found that the legacy of pre‐eruption vegetation influenced the community structure of ground‐dwelling arthropods after volcanic disturbances. Moreover, counterintuitively, these legacy effects of vegetation were more evident for the more severe disturbances. This figure shows how biological legacy of forests remains after receiving the volcanic disturbances.

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            Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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              Ecologically meaningful transformations for ordination of species data

              This paper examines how to obtain species biplots in unconstrained or constrained ordination without resorting to the Euclidean distance [used in principal-component analysis (PCA) and redundancy analysis (RDA)] or the chi-square distance [preserved in correspondence analysis (CA) and canonical correspondence analysis (CCA)] which are not always appropriate for the analysis of community composition data. To achieve this goal, transformations are proposed for species data tables. They allow ecologists to use ordination methods such as PCA and RDA, which are Euclidean-based, for the analysis of community data, while circumventing the problems associated with the Euclidean distance, and avoiding CA and CCA which present problems of their own in some cases. This allows the use of the original (transformed) species data in RDA carried out to test for relationships with explanatory variables (i.e. environmental variables, or factors of a multifactorial analysis-of-variance model); ecologists can then draw biplots displaying the relationships of the species to the explanatory variables. Another application allows the use of species data in other methods of multivariate data analysis which optimize a least-squares loss function; an example is K-means partitioning.
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                Author and article information

                Contributors
                atrophaneura4@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                04 June 2021
                July 2021
                : 11
                : 13 ( doiID: 10.1002/ece3.v11.13 )
                : 9110-9122
                Affiliations
                [ 1 ] Graduate School of Agriculture Kindai University Nara Japan
                [ 2 ] Kyushu Branch Regional Environmental Planning Inc. Fukuoka Japan
                [ 3 ] Faculty of Agriculture Kindai University Nara Japan
                [ 4 ] Graduate School of Life and Environmental Science University of Tsukuba Tsukuba Japan
                [ 5 ] The United Graduate School of Agricultural Sciences Kagoshima University Korimoto Japan
                [ 6 ] Faculty of Architecture and Civil Engineering Kyushu Sangyo University Fukuoka Japan
                [ 7 ] National Institute for Environmental Studies (NIES) Tsukuba Japan
                Author notes
                [*] [* ] Correspondence

                National Institute for Environmental Studies (NIES), Onogawa 16‐2, Tsukuba, Ibaraki 305‐8506, Japan.

                Email: atrophaneura4@ 123456gmail.com

                Author information
                https://orcid.org/0000-0003-3510-1453
                Article
                ECE37755
                10.1002/ece3.7755
                8258224
                34257947
                813adff9-2632-4417-8d29-a22122fdc557
                © 2021 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
                : 11 May 2021
                : 21 October 2020
                : 14 May 2021
                Page count
                Figures: 4, Tables: 1, Pages: 13, Words: 9767
                Funding
                Funded by: Japan Society for the Promotion of Science , open-funder-registry 10.13039/501100001691;
                Award ID: 19H03003
                Funded by: Yakushima Environmental Culture Foundation
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                July 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.4 mode:remove_FC converted:06.07.2021

                Evolutionary Biology
                community resilience,disturbance ecology,ecological succession,large natural disturbance,legacy effects,volcanic island

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