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      Altered precipitation and root herbivory affect the productivity and composition of a mesic grassland

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          Abstract

          Background

          Climate change models predict changes in the amount, frequency and seasonality of precipitation events, all of which have the potential to affect the structure and function of grassland ecosystems. While previous studies have examined plant or herbivore responses to these perturbations, few have examined their interactions; even fewer have included belowground herbivores. Given the ecological, economic and biodiversity value of grasslands, and their importance globally for carbon storage and agriculture, this is an important knowledge gap. To address this, we conducted a precipitation manipulation experiment in a former mesic pasture grassland comprising a mixture of C 4 grasses and C 3 grasses and forbs, in southeast Australia. Rainfall treatments included a control [ambient], reduced amount [50% ambient] and reduced frequency [ambient rainfall withheld for three weeks, then applied as a single deluge event] manipulations, to simulate predicted changes in both the size and frequency of future rainfall events. In addition, half of all experimental plots were inoculated with adult root herbivores (Scarabaeidae beetles).

          Results

          We found strong seasonal dependence in plant community responses to both rainfall and root herbivore treatments. The largest effects were seen in the cool season with lower productivity, cover and diversity in rainfall-manipulated plots, while root herbivore inoculation increased the relative abundance of C 3, compared to C 4, plants.

          Conclusions

          This study highlights the importance of considering not only the seasonality of plant responses to altered rainfall, but also the important role of interactions between abiotic and biotic drivers of vegetation change when evaluating ecosystem-level responses to future shifts in climatic conditions.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12862-021-01871-0.

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          Most cited references82

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Simultaneous inference in general parametric models.

            Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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              Updated world map of the Köppen-Geiger climate classification

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                Author and article information

                Contributors
                barnett.kirk@gmail.com
                Journal
                BMC Ecol Evol
                BMC Ecol Evol
                BMC Ecology and Evolution
                BioMed Central (London )
                2730-7182
                15 July 2021
                15 July 2021
                2021
                : 21
                : 145
                Affiliations
                [1 ]GRID grid.1029.a, ISNI 0000 0000 9939 5719, Hawkesbury Institute for the Environment, Western Sydney University, ; Locked Bag 1797, Penrith, NSW 2751 Australia
                [2 ]GRID grid.7759.c, ISNI 0000000103580096, Department of Biology, , University of Cádiz, ; Avenida República Árabe Saharaui, 11510 Puerto Real, Cádiz, Spain
                Author information
                http://orcid.org/0000-0002-3370-8676
                Article
                1871
                10.1186/s12862-021-01871-0
                8283849
                34266378
                30489b1f-7d23-45a5-9f2b-e53325d6b144
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 8 March 2021
                : 23 June 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                c3:c4 ratios,climate change,community ecology,rainfall regime,root herbivores

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