A meta-analysis on decomposition quantifies afterlife effects of plant diversity as a global change driver

Akira S. Mori, J. Hans C. Cornelissen, Saori Fujii, Kei ichi Okada, Forest Isbell

Research output: Contribution to journalArticlepeer-review

Abstract

Biodiversity loss can alter ecosystem functioning; however, it remains unclear how it alters decomposition—a critical component of biogeochemical cycles in the biosphere. Here, we provide a global-scale meta-analysis to quantify how changes in the diversity of organic matter derived from plants (i.e. litter) affect rates of decomposition. We find that the after-life effects of diversity were significant, and of substantial magnitude, in forests, grasslands, and wetlands. Changes in plant diversity could alter decomposition rates by as much as climate change is projected to alter them. Specifically, diversifying plant litter from mono- to mixed-species increases decomposition rate by 34.7% in forests worldwide, which is comparable in magnitude to the 13.6–26.4% increase in decomposition rates that is projected to occur over the next 50 years in response to climate warming. Thus, biodiversity changes cannot be solely viewed as a response to human influence, such as climate change, but could also be a non-negligible driver of future changes in biogeochemical cycles and climate feedbacks on Earth.

Original languageEnglish (US)
Article number4547
JournalNature communications
Volume11
Issue number1
DOIs
StatePublished - Dec 1 2020

Bibliographical note

Funding Information:
We acknowledge those who contributed to original publications. A.S.M. and K.O. were supported by the Environment Research and Technology Development Fund (S-14; JPMEERF15S11405) of the Ministry of the Environment, Japan, and the Ichimura Foundation for New Technology. We thank Yuta Kobayashi, Yasuko Yamada, Shota Masumoto, Tomoki Takatori, Shuntaro Kondo, Kureha Suzuki, Ryo Kitagawa, Miho Takatsu, and Risa Inoue for their help with the data synthesis.

Publisher Copyright:
© 2020, The Author(s).

PubMed: MeSH publication types

  • Journal Article
  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

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