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      Mycorrhizal association as a primary control of the CO₂ fertilization effect.

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          Abstract

          Plants buffer increasing atmospheric carbon dioxide (CO2) concentrations through enhanced growth, but the question whether nitrogen availability constrains the magnitude of this ecosystem service remains unresolved. Synthesizing experiments from around the world, we show that CO2 fertilization is best explained by a simple interaction between nitrogen availability and mycorrhizal association. Plant species that associate with ectomycorrhizal fungi show a strong biomass increase (30 ± 3%, P < 0.001) in response to elevated CO2 regardless of nitrogen availability, whereas low nitrogen availability limits CO2 fertilization (0 ± 5%, P = 0.946) in plants that associate with arbuscular mycorrhizal fungi. The incorporation of mycorrhizae in global carbon cycle models is feasible, and crucial if we are to accurately project ecosystem responses and feedbacks to climate change.

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          Improved tests for a random effects meta-regression with a single covariate.

          Guido Knapp, Joachim Hartung (2003)
          The explanation of heterogeneity plays an important role in meta-analysis. The random effects meta-regression model allows the inclusion of trial-specific covariates which may explain a part of the heterogeneity. We examine the commonly used tests on the parameters in the random effects meta-regression with one covariate and propose some new test statistics based on an improved estimator of the variance of the parameter estimates. The approximation of the distribution of the newly proposed tests is based on some theoretical considerations. Moreover, the newly proposed tests can easily be extended to the case of more than one covariate. In a simulation study, we compare the tests with regard to their actual significance level and we consider the log relative risk as the parameter of interest. Our simulation study reflects the meta-analysis of the efficacy of a vaccine for the prevention of tuberculosis originally discussed in Berkey et al. The simulation study shows that the newly proposed tests are superior to the commonly used test in holding the nominal significance level. Copyright 2003 John Wiley & Sons, Ltd.
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            Phylogenetic distribution and evolution of mycorrhizas in land plants.

            B. Wang, Y.-L. Qiu (2006)
            A survey of 659 papers mostly published since 1987 was conducted to compile a checklist of mycorrhizal occurrence among 3,617 species (263 families) of land plants. A plant phylogeny was then used to map the mycorrhizal information to examine evolutionary patterns. Several findings from this survey enhance our understanding of the roles of mycorrhizas in the origin and subsequent diversification of land plants. First, 80 and 92% of surveyed land plant species and families are mycorrhizal. Second, arbuscular mycorrhiza (AM) is the predominant and ancestral type of mycorrhiza in land plants. Its occurrence in a vast majority of land plants and early-diverging lineages of liverworts suggests that the origin of AM probably coincided with the origin of land plants. Third, ectomycorrhiza (ECM) and its derived types independently evolved from AM many times through parallel evolution. Coevolution between plant and fungal partners in ECM and its derived types has probably contributed to diversification of both plant hosts and fungal symbionts. Fourth, mycoheterotrophy and loss of the mycorrhizal condition also evolved many times independently in land plants through parallel evolution.
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              The mycorrhizal-associated nutrient economy: a new framework for predicting carbon-nutrient couplings in temperate forests.

              Richard P Phillips, Edward Brzostek, Meghan G Midgley (2013)
              Understanding the context dependence of ecosystem responses to global changes requires the development of new conceptual frameworks. Here we propose a framework for considering how tree species and their mycorrhizal associates differentially couple carbon (C) and nutrient cycles in temperate forests. Given that tree species predominantly associate with a single type of mycorrhizal fungi (arbuscular mycorrhizal (AM) fungi or ectomycorrhizal (ECM) fungi), and that the two types of fungi differ in their modes of nutrient acquisition, we hypothesize that the abundance of AM and ECM trees in a plot, stand, or region may provide an integrated index of biogeochemical transformations relevant to C cycling and nutrient retention. First, we describe how forest plots dominated by AM tree species have nutrient economies that differ in their C-nutrient couplings from those in plots dominated by ECM trees. Secondly, we demonstrate how the relative abundance of AM and ECM trees can be used to estimate nutrient dynamics across the landscape. Finally, we describe how our framework can be used to generate testable hypotheses about forest responses to global change factors, and how these dynamics can be used to develop better representations of plant-soil feedbacks and nutrient constraints on productivity in ecosystem and earth system models. © 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.
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                Author and article information

                Journal
                Journal ID (iso-abbrev): Science
                Title: Science (New York, N.Y.)
                Publisher: American Association for the Advancement of Science (AAAS)
                ISSN (Electronic): 1095-9203
                ISSN (Print): 0036-8075
                Publication date (Electronic): Jul 01 2016
                Volume: 353
                Issue: 6294
                Affiliations
                [1 ] AXA Chair Programme in Biosphere and Climate Impacts, Department of Life Sciences, Silwood Park Campus, Ascot, Imperial College London, UK. c.terrer@imperial.ac.uk.
                [2 ] Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, 2610 Wilrijk, Belgium.
                [3 ] Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA. Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA.
                [4 ] Department of Biology, Indiana University, Bloomington, IN 47405, USA.
                [5 ] AXA Chair Programme in Biosphere and Climate Impacts, Department of Life Sciences, Silwood Park Campus, Ascot, Imperial College London, UK. Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.
                Article
                Publisher Item ID: 353/6294/72
                DOI: 10.1126/science.aaf4610
                PubMed ID: 27365447
                SO-VID: 13fbd12c-3f2c-4bfa-9083-5583e894169f
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