| Literature DB >> 33675118 |
Kevin Van Sundert1, Mohammed A S Arfin Khan2,3, Siddharth Bharath4, Yvonne M Buckley5, Maria C Caldeira6, Ian Donohue5, Maren Dubbert7,8, Anne Ebeling9, Nico Eisenhauer10,11, Anu Eskelinen12,13,14, Alain Finn5, Tobias Gebauer15, Sylvia Haider16,17, Amandine Hansart18, Anke Jentsch3, Angelika Kübert7, Ivan Nijs1, Charles A Nock15,19, Carla Nogueira6, Anita J Porath-Krause4, Dajana Radujković1, Xavier Raynaud20, Anita C Risch21, Christiane Roscher12,13, Michael Scherer-Lorenzen15, Max A Schuchardt3, Martin Schütz21, Julia Siebert10,11, Judith Sitters22, Marie Spohn23, Risto Virtanen24, Christiane Werner7, Peter Wilfahrt3,4, Sara Vicca1.
Abstract
Droughts can strongly affect grassland productivity and biodiversity, but responses differ widely. Nutrient availability may be a critical factor explaining this variation, but is often ignored in analyses of drought responses. Here, we used a standardized nutrient addition experiment covering 10 European grasslands to test if full-factorial nitrogen, phosphorus, and potassium addition affected plant community responses to inter-annual variation in drought stress and to the extreme summer drought of 2018 in Europe. We found that nutrient addition amplified detrimental drought effects on community aboveground biomass production. Drought effects also differed between functional groups, with a negative effect on graminoid but not forb biomass production. Our results imply that eutrophication in grasslands, which promotes dominance of drought-sensitive graminoids over forbs, amplifies detrimental drought effects. In terms of climate change adaptation, agricultural management would benefit from taking into account differential drought impacts on fertilized versus unfertilized grasslands, which differ in ecosystem services they provide to society.Entities:
Keywords: Nutrient Network (NutNet); drought; ecosystem; functional group; grassland; nutrient
Year: 2021 PMID: 33675118 DOI: 10.1111/gcb.15583
Source DB: PubMed Journal: Glob Chang Biol ISSN: 1354-1013 Impact factor: 10.863