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      Higher species richness enhances yield stability in intensively managed grasslands with experimental disturbance

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          Abstract

          Climate models predict increased frequency and severity of drought events. At an Irish and Swiss site, experimental summer droughts were applied over two successive years to grassland plots sown with one, two or four grassland species with contrasting functional traits. Mean yield and plot-to-plot variance of yield were measured across harvests during drought and after a subsequent post-drought recovery period. At both sites, there was a positive relationship between species richness and yield. Under rainfed control conditions, mean yields of four-species communities were 32% (Wexford, Ireland) and 51% (Zürich, Switzerland) higher than in monocultures. This positive relationship was also evident under drought, despite significant average yield reductions (−27% at Wexford; −21% at Zürich). Four-species communities had lower plot-to-plot variance of yield compared to monoculture or two-species communities under both rainfed and drought conditions, which demonstrates higher yield stability in four-species communities. At the Swiss but not the Irish site, a high degree of species asynchrony could be identified as a mechanism underlying increased temporal stability in four-species communities. These results indicate the high potential of multi-species grasslands as an adaptation strategy against drought events and help achieve sustainable intensification under both unperturbed and perturbed environmental conditions.

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          Most cited references28

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          Plant Diversity and Productivity Experiments in European Grasslands

          A. Hector (1999)
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            Species synchrony and its drivers: neutral and nonneutral community dynamics in fluctuating environments.

            Independent species fluctuations are commonly used as a null hypothesis to test the role of competition and niche differences between species in community stability. This hypothesis, however, is unrealistic because it ignores the forces that contribute to synchronization of population dynamics. Here we present a mechanistic neutral model that describes the dynamics of a community of equivalent species under the joint influence of density dependence, environmental forcing, and demographic stochasticity. We also introduce a new standardized measure of species synchrony in multispecies communities. We show that the per capita population growth rates of equivalent species are strongly synchronized, especially when endogenous population dynamics are cyclic or chaotic, while their long-term fluctuations in population sizes are desynchronized by ecological drift. We then generalize our model to nonneutral dynamics by incorporating temporal and nontemporal forms of niche differentiation. Niche differentiation consistently decreases the synchrony of species per capita population growth rates, while its effects on the synchrony of population sizes are more complex. Comparing the observed synchrony of species per capita population growth rates with that predicted by the neutral model potentially provides a simple test of deterministic asynchrony in a community.
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              General stabilizing effects of plant diversity on grassland productivity through population asynchrony and overyielding.

              Insurance effects of biodiversity can stabilize the functioning of multispecies ecosystems against environmental variability when differential species' responses lead to asynchronous population dynamics. When responses are not perfectly positively correlated, declines in some populations are compensated by increases in others, smoothing variability in ecosystem productivity. This variance reduction effect of biodiversity is analogous to the risk-spreading benefits of diverse investment portfolios in financial markets. We use data from the BIODEPTH network of grassland biodiversity experiments to perform a general test for stabilizing effects of plant diversity on the temporal variability of individual species, functional groups, and aggregate communities. We tested three potential mechanisms: reduction of temporal variability through population asynchrony; enhancement of long-term average performance through positive selection effects; and increases in the temporal mean due to overyielding. Our results support a stabilizing effect of diversity on the temporal variability of grassland aboveground annual net primary production through two mechanisms. Two-species communities with greater population asynchrony were more stable in their average production over time due to compensatory fluctuations. Overyielding also stabilized productivity by increasing levels of average biomass production relative to temporal variability. However, there was no evidence for a performance-enhancing effect on the temporal mean through positive selection effects. In combination with previous work, our results suggest that stabilizing effects of diversity on community productivity through population asynchrony and overyielding appear to be general in grassland ecosystems.
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                Author and article information

                Contributors
                John.Finn@teagasc.ie
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 October 2018
                9 October 2018
                2018
                : 8
                : 15047
                Affiliations
                [1 ]Teagasc, Environment Research Centre, Johnstown Castle, Wexford, Ireland
                [2 ]ISNI 0000 0004 4681 910X, GRID grid.417771.3, Agroscope, Forage Production and Grassland Systems, ; Reckenholzstrasse 191, CH-8046 Zürich, Switzerland
                [3 ]ISNI 0000 0001 0768 2743, GRID grid.7886.1, School of Biology & Environmental Science, , Earth Institute, O’ Brien Centre for Science, University College Dublin, ; Belfield, Dublin 4 Ireland
                [4 ]ISNI 0000 0001 2156 2780, GRID grid.5801.c, ETH Zürich, Institute of Agricultural Sciences, Universitätstrasse 2, ; CH-8092 Zürich, Switzerland
                [5 ]ISNI 0000 0004 0397 0010, GRID grid.425326.4, Present Address: Louis Bolk Institute, ; Kosterijland 3-5, 3981AJ Bunnik, The Netherlands
                [6 ]ISNI 0000 0004 1936 9705, GRID grid.8217.c, Present Address: Botany Department, , School of Natural Sciences, Trinity College Dublin, ; Dublin, Ireland
                Author information
                http://orcid.org/0000-0003-3616-5563
                Article
                33262
                10.1038/s41598-018-33262-9
                6177466
                30301905
                c33e0693-e5c1-4283-8a04-d42826c27ffe
                © The Author(s) 2018

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 April 2018
                : 18 September 2018
                Funding
                Funded by: EC Seventh Framework Grant agreement 266018
                Funded by: FundRef https://doi.org/10.13039/501100004963, EC | Seventh Framework Programme (European Union Seventh Framework Programme);
                Award ID: 266018
                Award ID: 266018
                Award ID: Marie Curie Action
                Award ID: 266018
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001604, Teagasc;
                Award ID: n/a
                Award Recipient :
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