Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Science of the Total Environment Year : 2023

Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments

Hervé Jactel
Céline Meredieu
Bo Yang
  • Function : Author

Abstract

Litter decomposition is a key ecosystem function in forests and varies in response to a range of climatic, edaphic, and local stand characteristics. Disentangling the relative contribution of these factors is challenging, especially along large environmental gradients. In particular, knowledge of the effect of management options, such as tree planting density and species composition, on litter decomposition would be highly valuable in forestry. In this study, we made use of 15 tree diversity experiments spread over eight countries and three continents within the global TreeDivNet network. We evaluated the effects of overstory composition (tree identity, species/mixture composition and species richness), plantation conditions (density and age), and climate (temperature and precipitation) on mass loss (after 3 months and 1 year) of two standardized litters: high-quality green tea and low-quality rooibos tea. Across continents, we found that early-stage decomposition of the low-quality rooibos tea was influenced locally by overstory tree identity. Mass loss of rooibos litter was higher under young gymnosperm overstories compared to angiosperm overstories, but this trend reversed with age of the experiment. Tree species richness did not influence decomposition and explained almost no variation in our multi-continent dataset. Hence, in the young plantations of our study, overstory composition effects on decomposition were mainly driven by tree species identity on decomposer communities and forest microclimates. After 12 months of incubation, mass loss of the high-quality green tea litter was mainly influenced by temperature whereas the low-quality rooibos tea litter decomposition showed stronger relationships with overstory composition and stand age. Our findings highlight that decomposition dynamics are not only affected by climate but also by management options, via litter quality of the identity of planted trees but also by overstory composition and structure.
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Dates and versions

hal-04111488 , version 1 (31-05-2023)

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Ellen Desie, Juan Zuo, Kris Verheyen, Ika Djukic, Koenraad van Meerbeek, et al.. Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments. Science of the Total Environment, 2023, 857 (Part 3), pp.159717. ⟨10.1016/j.scitotenv.2022.159717⟩. ⟨hal-04111488⟩
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