Ecology LettersEcologyPeer-reviewed journal article
Macro-environment strongly interacts with warming in a global analysis of decomposition
Sarah SchwiegeriD, Ellen DorrepaaliD, Matteo Petit BoniD, Vigdis VandvikiD, Elizabeth le RouxiD, Maria StrackiD, Yan Feng YangiD, Susanna VenniD, Johan van den HoogeniD, Fernando Valiño, Haydn J. D. ThomasiD, Mariska te BeestiD, Satoshi SuzukiiD, Alessandro PetragliaiD, Isla H. Myers‐SmithiD, Tariq Muhammad MuniriD, Anders MichelseniD, Jørn Olav LøkkeniD, Qi LiiD, Takayoshi KoikeiD, Kari KlanderudiD, Ellen Haakonsen Karr, Ingibjörg S. JónsdóttiriD, Robert D. HollisteriD, Annika HofgaardiD, , Judith M. SarneeliD
Abstract
Empirical studies worldwide show substantial variability in plant litter decomposition responses to warming, leaving the overall impact of climate change on this process uncertain. We conducted a meta-analysis of 109 experimental warming studies across seven continents, utilizing natural and standardized plant material, to assess the overarching effect of warming on decomposition and identify potential moderating factors. Warming influences decomposition differently across macro-environmental gradients of moisture and temperature. Negative warming effects on decomposition in warmer, low-moisture areas were counterbalanced by the positive, though not significant, warming effects in colder areas, resulting in an overall non-significant effect. We determine that at least 5.2 degrees of warming is required for a significant increase in decomposition. This is particularly relevant given the past decades global warmth in higher latitudes, holding a significant proportion of terrestrial carbon. Low-quality plant litter was more sensitive to warming. Therefore, future vegetation changes toward low-quality, temperature-sensitive plants could increase carbon release and reduce the net supply of stored organic matter in the soil by increasing the decomposition of low-quality litter with warming. Our findings emphasize the connection between warming responses, macro-environment, and litter characteristics, refining predictions of climate changes consequences on key ecosystem processes and its contextual dependencies.
- Citations
- 31
- FWCI
- 0.81
- Field percentile
- top 36%
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