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      Soil organic matter contents modulate the effects of bacterial diversity on the carbon cycling processes

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          Ecological Diversity and Its Measurement

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            EFFECTS OF BIODIVERSITY ON ECOSYSTEM FUNCTIONING: A CONSENSUS OF CURRENT KNOWLEDGE

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              Soil biodiversity and soil community composition determine ecosystem multifunctionality.

              Biodiversity loss has become a global concern as evidence accumulates that it will negatively affect ecosystem services on which society depends. So far, most studies have focused on the ecological consequences of above-ground biodiversity loss; yet a large part of Earth's biodiversity is literally hidden below ground. Whether reductions of biodiversity in soil communities below ground have consequences for the overall performance of an ecosystem remains unresolved. It is important to investigate this in view of recent observations that soil biodiversity is declining and that soil communities are changing upon land use intensification. We established soil communities differing in composition and diversity and tested their impact on eight ecosystem functions in model grassland communities. We show that soil biodiversity loss and simplification of soil community composition impair multiple ecosystem functions, including plant diversity, decomposition, nutrient retention, and nutrient cycling. The average response of all measured ecosystem functions (ecosystem multifunctionality) exhibited a strong positive linear relationship to indicators of soil biodiversity, suggesting that soil community composition is a key factor in regulating ecosystem functioning. Our results indicate that changes in soil communities and the loss of soil biodiversity threaten ecosystem multifunctionality and sustainability.
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                Author and article information

                Journal
                Journal of Soils and Sediments
                J Soils Sediments
                Springer Science and Business Media LLC
                1439-0108
                1614-7480
                February 2023
                September 24 2022
                February 2023
                : 23
                : 2
                : 911-922
                Article
                10.1007/s11368-022-03336-3
                38f1a0ca-0f76-44b6-9245-6b1b556cbb17
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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