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      Biodiversity mediates top-down control in eelgrass ecosystems: a global comparative-experimental approach.

      1 , 2 , 1 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 6 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 1 , 11 , 17 , 18 , 6 , 1 , 19 , 20 , 10 , 21 , 21
      Ecology letters
      Biodiversity-ecosystem functioning, bottom-up control, coordinated experiments, food webs, metabolic ecology, structural equation modelling, top-down control

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          Abstract

          Nutrient pollution and reduced grazing each can stimulate algal blooms as shown by numerous experiments. But because experiments rarely incorporate natural variation in environmental factors and biodiversity, conditions determining the relative strength of bottom-up and top-down forcing remain unresolved. We factorially added nutrients and reduced grazing at 15 sites across the range of the marine foundation species eelgrass (Zostera marina) to quantify how top-down and bottom-up control interact with natural gradients in biodiversity and environmental forcing. Experiments confirmed modest top-down control of algae, whereas fertilisation had no general effect. Unexpectedly, grazer and algal biomass were better predicted by cross-site variation in grazer and eelgrass diversity than by global environmental gradients. Moreover, these large-scale patterns corresponded strikingly with prior small-scale experiments. Our results link global and local evidence that biodiversity and top-down control strongly influence functioning of threatened seagrass ecosystems, and suggest that biodiversity is comparably important to global change stressors.

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          Most cited references32

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          Structural Equation Modeling and Natural Systems

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            Our evolving conceptual model of the coastal eutrophication problem

            JE Cloern (2001)
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              Plant species richness and ecosystem multifunctionality in global drylands.

              Experiments suggest that biodiversity enhances the ability of ecosystems to maintain multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools (multifunctionality). However, the relationship between biodiversity and multifunctionality has never been assessed globally in natural ecosystems. We report here on a global empirical study relating plant species richness and abiotic factors to multifunctionality in drylands, which collectively cover 41% of Earth's land surface and support over 38% of the human population. Multifunctionality was positively and significantly related to species richness. The best-fitting models accounted for over 55% of the variation in multifunctionality and always included species richness as a predictor variable. Our results suggest that the preservation of plant biodiversity is crucial to buffer negative effects of climate change and desertification in drylands.
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                Author and article information

                Journal
                Ecol. Lett.
                Ecology letters
                1461-0248
                1461-023X
                Jul 2015
                : 18
                : 7
                Affiliations
                [1 ] Virginia Institute of Marine Science, Gloucester Point, VA, 23062-1346, USA.
                [2 ] Tennenbaum Marine Observatories Network, Smithsonian Institution, Washington, D.C., 20013-7012, USA.
                [3 ] Department of Biosciences, Environmental and Marine Biology, Åbo Akademi University, 20520, Åbo, Finland.
                [4 ] Shoals Marine Laboratory, Cornell University, Portsmouth, NH, 03801, USA.
                [5 ] Département des sciences fondamentales & Québec-Océan, Université du Québec à Chicoutimi, Chicoutimi, QC, G7H 2B1, Canada.
                [6 ] Centre for Ecological and Evolutionary Studies, University of Groningen, 9747 AG, Groningen, The Netherlands.
                [7 ] Florida Gulf Coast University, Fort Myers, FL, 33965, USA.
                [8 ] Department of Ecology, Environment and Plant Sciences, Stockholm University, 106 91, Stockholm, Sweden.
                [9 ] Centro de Ciências do Mar do Algarve (CCMAR), University of Algarve, 8005 139, Faro, Portugal.
                [10 ] Department of Biosciences, University of Oslo, 0316, Oslo, Norway.
                [11 ] Department of Biological and Environmental Sciences, University of Gothenburg, SE-405 30, Göteborg, Sweden.
                [12 ] Tvärminne Zoological Station, University of Helsinki, 10900, Hanko, Finland.
                [13 ] Faculty of Biosciences and Aquaculture, University of Nordland, 8049, Bodø, Norway.
                [14 ] Fisheries Research Agency, 739-0452, Hiroshima, Japan.
                [15 ] Department of Biology, San Diego State University, San Diego, CA, 92182, USA.
                [16 ] School of Fisheries and Ocean Sciences, University of Alaska Fairbanks, AK, 99775, USA.
                [17 ] Akkeshi Marine Station, Field Science Center for Northern Biosphere, Hokkaido University, Aikappu, Akkeshi, Hokkaido, 088-1113, Japan.
                [18 ] Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
                [19 ] Department of Biology, University of Washington, Seattle, WA, 98195, USA.
                [20 ] Grice Marine Laboratory, College of Charleston, Charleston, SC, 29412, USA.
                [21 ] Department of Evolution and Ecology, University of California, Davis, CA, 95616, USA.
                Article
                10.1111/ele.12448
                25983129
                11795ca0-f92d-4a54-aaeb-d6d538e88d95
                © 2015 John Wiley & Sons Ltd/CNRS.
                History

                Biodiversity-ecosystem functioning,bottom-up control,coordinated experiments,food webs,metabolic ecology,structural equation modelling,top-down control

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