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      Soil fauna drives vertical redistribution of soil organic carbon in a long‐term irrigated dry pine forest

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          Abstract

          Summer droughts strongly affect soil organic carbon (SOC) cycling, but net effects on SOC storage are unclear as drought affects both C inputs and outputs from soils. Here, we explored the overlooked role of soil fauna on SOC storage in forests, hypothesizing that soil faunal activity is particularly drought‐sensitive, thereby reducing litter incorporation into the mineral soil and, eventually, long‐term SOC storage.

          In a drought‐prone pine forest (Switzerland), we performed a large‐scale irrigation experiment for 17 years and assessed its impact on vertical SOC distribution and composition. We also examined litter mass loss of dominant tree species using different mesh‐size litterbags and determined soil fauna abundance and community composition.

          The 17‐year‐long irrigation resulted in a C loss in the organic layers (−1.0 kg C m −2) and a comparable C gain in the mineral soil (+0.8 kg C m −2) and thus did not affect total SOC stocks. Irrigation increased the mass loss of Quercus pubescens and Viburnum lantana leaf litter, with greater effect sizes when meso‐ and macrofauna were included (+215%) than when excluded (+44%). The enhanced faunal‐mediated litter mass loss was paralleled by a many‐fold increase in the abundance of meso‐ and macrofauna during irrigation. Moreover, Acari and Collembola community composition shifted, with a higher presence of drought‐sensitive species in irrigated soils. In comparison, microbial SOC mineralization was less sensitive to soil moisture. Our results suggest that the vertical redistribution of SOC with irrigation was mainly driven by faunal‐mediated litter incorporation, together with increased root C inputs.

          Our study shows that soil fauna is highly sensitive to natural drought, which leads to a reduced C transfer from organic layers to the mineral soil. In the longer term, this potentially affects SOC storage and, therefore, soil fauna plays a key but so far largely overlooked role in shaping SOC responses to drought.

          Abstract

          Although essential for C incorporation into the soil, the role of soil fauna in SOC cycling of dry forests has largely been overlooked. Here, we show that 17‐year‐long irrigation in a naturally dry pine forest led to C losses from organic layers and comparable C gains in uppermost mineral soils. The vertical SOC redistribution was mainly driven by accelerated faunal‐mediated litter incorporation. Our findings reveal that soil fauna is highly sensitive to natural drought, which affects the C transfer into the mineral soil. In the longer term, this will lead to potential cascading effects on SOC storage and stability.

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          phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

          Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data. Results Here we describe a software project, phyloseq, dedicated to the object-oriented representation and analysis of microbiome census data in R. It supports importing data from a variety of common formats, as well as many analysis techniques. These include calibration, filtering, subsetting, agglomeration, multi-table comparisons, diversity analysis, parallelized Fast UniFrac, ordination methods, and production of publication-quality graphics; all in a manner that is easy to document, share, and modify. We show how to apply functions from other R packages to phyloseq-represented data, illustrating the availability of a large number of open source analysis techniques. We discuss the use of phyloseq with tools for reproducible research, a practice common in other fields but still rare in the analysis of highly parallel microbiome census data. We have made available all of the materials necessary to completely reproduce the analysis and figures included in this article, an example of best practices for reproducible research. Conclusions The phyloseq project for R is a new open-source software package, freely available on the web from both GitHub and Bioconductor.
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            Mixed effects models and extensions in ecology with R

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              SIMR: an R package for power analysis of generalized linear mixed models by simulation

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                Author and article information

                Contributors
                claudia.guidi@wsl.ch
                frank.hagedorn@wsl.ch
                Journal
                Glob Chang Biol
                Glob Chang Biol
                10.1111/(ISSN)1365-2486
                GCB
                Global Change Biology
                John Wiley and Sons Inc. (Hoboken )
                1354-1013
                1365-2486
                21 February 2022
                May 2022
                : 28
                : 9 ( doiID: 10.1111/gcb.v28.9 )
                : 3145-3160
                Affiliations
                [ 1 ] Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland
                [ 2 ] Faculty of Forestry and Wood Technology Poznań University of Life Sciences Poznań Poland
                [ 3 ] Faculty of Natural Sciences University of Silesia in Katowice Katowice Poland
                [ 4 ] Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh
                [ 5 ] Institute of Terrestrial Ecosystems ETH Zurich Zürich Switzerland
                [ 6 ]Present address: School of Geography and Remote Sensing Guangzhou University Guangzhou China
                Author notes
                [*] [* ] Correspondence

                Claudia Guidi and Frank Hagedorn, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.

                Emails: claudia.guidi@ 123456wsl.ch , frank.hagedorn@ 123456wsl.ch

                Author information
                https://orcid.org/0000-0003-3947-808X
                https://orcid.org/0000-0003-3436-995X
                https://orcid.org/0000-0003-4623-6249
                https://orcid.org/0000-0002-0064-2316
                https://orcid.org/0000-0002-9209-0167
                https://orcid.org/0000-0001-8581-1651
                https://orcid.org/0000-0002-0158-8892
                https://orcid.org/0000-0003-1944-4042
                https://orcid.org/0000-0001-5218-7776
                Article
                GCB16122
                10.1111/gcb.16122
                9306871
                35124879
                728f9b5c-4a7c-4948-aae8-8e64232bb47a
                © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 21 January 2022
                : 19 October 2021
                : 24 January 2022
                Page count
                Figures: 8, Tables: 1, Pages: 16, Words: 13011
                Funding
                Funded by: Marie Sklodowska‐Curie grant
                Award ID: 846134
                Funded by: ETH‐Bereich Forschungsanstalten
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:22.07.2022

                carbon cycling,carbon storage,climate change,drought,forest,litter decomposition,mesofauna communities,soil biota

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