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      Tree leaf and root traits mediate soil faunal contribution to litter decomposition across an elevational gradient

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          Abstract

          • Plant litter decomposition is key to carbon and nutrient cycling in terrestrial ecosystems. Soil fauna are important litter decomposers, but how their contribution to decomposition changes with alterations in plant composition and climate is not well established.

          • Here, we quantified how soil mesofauna affect decomposition rate interactively with climate and leaf and root traits. We conducted an in situ decomposition experiment using eight dominant tree species per forest site across four elevations (50, 400, 600 and 1,000 m a.s.l.) in northern Japan. We used litterbags with different mesh sizes to control litter accessibility to soil mesofauna.

          • We found stronger effects of plant litter quality on both decomposition rates and faunal contribution thereto, and perhaps of local variation in soil nutritional and moisture regimes, than climatic effects of elevation. This suggests that changing climate likely alters forest litter decomposition rates indirectly through shifts in tree community composition more than directly through changing abiotic regimes. Considering both leaves and roots as litter resources enlarged the overall contribution of variation in litter quality to decomposition rates and faunal effects thereupon, because litter quality and decomposition rate varied more between leaves and roots overall than among leaves within and across elevations.

          • The contribution of mesofauna to litter decomposition was larger in nutrient‐rich litter than in recalcitrant litter across the elevational gradient, suggesting amplification of the effect of litter traits on decomposition through preference of soil fauna for their food resources.

          • Our findings highlight the importance of considering synergistic influences of soil faunal activities with litter traits of both leaves and roots for better understanding biogeochemical processes across environmental gradients over space or time.

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          Colorimetric Method for Determination of Sugars and Related Substances

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            A general and simple method for obtainingR2from generalized linear mixed-effects models

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              Generalized linear mixed models: a practical guide for ecology and evolution.

              How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when random effects are present. The explosion of research on GLMMs in the last decade has generated considerable uncertainty for practitioners in ecology and evolution. Despite the availability of accurate techniques for estimating GLMM parameters in simple cases, complex GLMMs are challenging to fit and statistical inference such as hypothesis testing remains difficult. We review the use (and misuse) of GLMMs in ecology and evolution, discuss estimation and inference and summarize 'best-practice' data analysis procedures for scientists facing this challenge.
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                Author and article information

                Contributors
                Journal
                Functional Ecology
                Functional Ecology
                Wiley
                0269-8463
                1365-2435
                March 2018
                January 15 2018
                March 2018
                : 32
                : 3
                : 840-852
                Affiliations
                [1 ] Department of Environment and Natural Sciences Graduate School of Environment and Information Sciences Yokohama National University Yokohama Japan
                [2 ] Department of Ecological Science Faculty of Science Vrije Universiteit Amsterdam Amsterdam The Netherlands
                [3 ] Hakubi Center for Advanced Research / Field Science Education and Research Center Kyoto University Kyoto Japan
                [4 ] Conservation and Community Ecology Group Groningen Institute for Evolutionary Life Sciences Groningen University Groningen The Netherlands
                Article
                10.1111/1365-2435.13027
                26e73502-9b82-4b84-be91-ca90d9a59529
                © 2018

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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