MURAL - Maynooth University Research Archive Library



    Evenness drives consistent diversity effects in intensive grassland systems across 28 European sites


    Kirwan, Laura and Luscher, Andreas and Sebastia, M.-Teresa and Finn, John Anthony and Collins, R.P. and Porqueddu, Claudio and Helgadottir, Aslaug and Baadshaug, Ole and Brophy, Caroline and Coran, C. and Dalmansdottir, S. and Delgado, Ignacio and Elgersma, Anjo and Fothergill, Michael and Frankow-Lindberg, Bodil E. and Golinski, Piotr and Grieu, Philippe and Gustavsson, Anne-Maj and Hoglind, Mats and Huguenin-Elie, Olivier and Iliadis, C, and Kadziuliene, Zydre and Karyotis, T. and Lunnan, Tor and Malengier, M. and Maltoni, S. and Meyer, Vera and Nyfeler, D. and Nykanen-Kurki, Paivi and Parente, J. and Smit, H.J. and Thumm, Ulrich and Connolly, John (2007) Evenness drives consistent diversity effects in intensive grassland systems across 28 European sites. Journal of Ecology, 95 (3). pp. 530-539. ISSN 0022-0477

    [img]
    Preview
    Download (171kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    1. Ecological and agronomic research suggests that increased crop diversity in speciespoor intensive systems may improve their provision of ecosystem services. Such general predictions can have critical importance for worldwide food production and agricultural practice but are largely untested at higher levels of diversity. 2. We propose new methodology for the design and analysis of experiments to quantify diversity-function relationships. Our methodology can quantify the relative strength of inter-specific interactions that contribute to a functional response, and can disentangle the separate contributions of species richness and relative abundance. 3. Applying our methodology to data from a common experiment at 28 European sites, we show that the above-ground biomass of four-species mixtures (two legumes and two grasses) in intensive grassland systems was consistently greater than that expected from monoculture performance, even at high productivity levels. The magnitude of this effect generally resulted in transgressive overyielding. 4. A combined analysis of first-year results across sites showed that the additional performance of mixtures was driven by the number and strength of pairwise inter-specific interactions and the evenness of the community. In general, all pairwise interactions contributed equally to the additional performance of mixtures; the grass-grass and legume-legume interactions were as strong as those between grasses and legumes. 5. The combined analysis across geographical and temporal scales in our study provides a generality of interpretation of our results that would not have been possible from individual site analyses or experimentation at a single site. 6. Our four-species agricultural grassland communities have proved a simple yet relevant model system for experimentation and development of methodology in diversity-function research. Our study establishes that principles derived from biodiversity research in extensive, semi-natural grassland systems are applicable in intensively managed grasslands with agricultural plant species.

    Item Type: Article
    Keywords: agricultural grassland; ecosystem functioning; evenness; intensive grasslands; inter-specific interactions; multi-site experiment; relative abundance; simplex design; species identity; transgressive overyielding;
    Academic Unit: Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 10132
    Identification Number: https://doi.org/10.1111/j.1365-2745.2007.01225.x
    Depositing User: Dr. Caroline Brophy
    Date Deposited: 22 Oct 2018 14:46
    Journal or Publication Title: Journal of Ecology
    Publisher: British Ecological Society
    Refereed: Yes
    Funders: EU Commission COST Action 852, Environmental Protection Agency, Ireland (EPA)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year