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

Ellen Desie, Juan Zuo, Kris Verheyen (UGent) , Ika Djukic, Koenraad Van Meerbeek, Harald Auge, Nadia Barsoum, Christel Baum, Helge Bruelheide, Nico Eisenhauer, et al.
(2023) SCIENCE OF THE TOTAL ENVIRONMENT. 857(part 3).
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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), plan-tation 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 man-agement options, via litter quality of the identity of planted trees but also by overstory composition and structure.
Keywords
Biodiversity, Biogeochemical cycle, Carbon turnover, Decomposition, Forest, Mass loss, Tea bag initiative, Tree communities, Tree species richness, TreeDivNet, SPECIES-DIVERSITY, SOIL INTERACTIONS, PLANT DIVERSITY, BIODIVERSITY, IDENTITY, RATES, COMMUNITIES, TEMPERATE, DYNAMICS, CLIMATE

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MLA
Desie, Ellen, et al. “Disentangling Drivers of Litter Decomposition in a Multi-Continent Network of Tree Diversity Experiments.” SCIENCE OF THE TOTAL ENVIRONMENT, vol. 857, no. part 3, 2023, doi:10.1016/j.scitotenv.2022.159717.
APA
Desie, E., Zuo, J., Verheyen, K., Djukic, I., Van Meerbeek, K., Auge, H., … Muys, B. (2023). Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments. SCIENCE OF THE TOTAL ENVIRONMENT, 857(part 3). https://doi.org/10.1016/j.scitotenv.2022.159717
Chicago author-date
Desie, Ellen, Juan Zuo, Kris Verheyen, Ika Djukic, Koenraad Van Meerbeek, Harald Auge, Nadia Barsoum, et al. 2023. “Disentangling Drivers of Litter Decomposition in a Multi-Continent Network of Tree Diversity Experiments.” SCIENCE OF THE TOTAL ENVIRONMENT 857 (part 3). https://doi.org/10.1016/j.scitotenv.2022.159717.
Chicago author-date (all authors)
Desie, Ellen, Juan Zuo, Kris Verheyen, Ika Djukic, Koenraad Van Meerbeek, Harald Auge, Nadia Barsoum, Christel Baum, Helge Bruelheide, Nico Eisenhauer, Heike Feldhaar, Olga Ferlian, Dominique Gravel, Hervé Jactel, Inger Kappel Schmidt, Sebastian Kepfer-Rojas, Céline Meredieu, Simone Mereu, Christian Messier, Lourdes Morillas, Charles Nock, Alain Paquette, Quentin Ponette, Peter B. Reich, Javier Roales, Michael Scherer-Lorenzen, Steffen Seitz, Anja Schmidt, Artur Stefanski, Stefan Trogisch, Inge van Halder, Martin Weih, Laura J. Williams, Bo Yang, and Bart Muys. 2023. “Disentangling Drivers of Litter Decomposition in a Multi-Continent Network of Tree Diversity Experiments.” SCIENCE OF THE TOTAL ENVIRONMENT 857 (part 3). doi:10.1016/j.scitotenv.2022.159717.
Vancouver
1.
Desie E, Zuo J, Verheyen K, Djukic I, Van Meerbeek K, Auge H, 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).
IEEE
[1]
E. Desie et al., “Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments,” SCIENCE OF THE TOTAL ENVIRONMENT, vol. 857, no. part 3, 2023.
@article{01GQFKQ79TXWZQE547N594XWVR,
  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), plan-tation 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 man-agement options, via litter quality of the identity of planted trees but also by overstory composition and structure.}},
  articleno    = {{159717}},
  author       = {{Desie, Ellen and Zuo, Juan and Verheyen, Kris and Djukic, Ika and Van Meerbeek, Koenraad and Auge, Harald and Barsoum, Nadia and Baum, Christel and Bruelheide, Helge and Eisenhauer, Nico and Feldhaar, Heike and Ferlian, Olga and Gravel, Dominique and Jactel, Hervé and Schmidt, Inger Kappel and Kepfer-Rojas, Sebastian and Meredieu, Céline and Mereu, Simone and Messier, Christian and Morillas, Lourdes and Nock, Charles and Paquette, Alain and Ponette, Quentin and Reich, Peter B. and Roales, Javier and Scherer-Lorenzen, Michael and Seitz, Steffen and Schmidt, Anja and Stefanski, Artur and Trogisch, Stefan and Halder, Inge van and Weih, Martin and Williams, Laura J. and Yang, Bo and Muys, Bart}},
  issn         = {{0048-9697}},
  journal      = {{SCIENCE OF THE TOTAL ENVIRONMENT}},
  keywords     = {{Biodiversity,Biogeochemical cycle,Carbon turnover,Decomposition,Forest,Mass loss,Tea bag initiative,Tree communities,Tree species richness,TreeDivNet,SPECIES-DIVERSITY,SOIL INTERACTIONS,PLANT DIVERSITY,BIODIVERSITY,IDENTITY,RATES,COMMUNITIES,TEMPERATE,DYNAMICS,CLIMATE}},
  language     = {{eng}},
  number       = {{part 3}},
  pages        = {{11}},
  title        = {{Disentangling drivers of litter decomposition in a multi-continent network of tree diversity experiments}},
  url          = {{http://doi.org/10.1016/j.scitotenv.2022.159717}},
  volume       = {{857}},
  year         = {{2023}},
}
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