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Global Ecology and Biogeography
Article . 2022 . Peer-reviewed
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Temperature legacies predict microbial metabolic quotient across forest biomes

Authors: Shengen Liu; Zhaolin Sun; Peng Tian; Xuechao Zhao; Guiyao Zhou; Peter Dietrich; Qingkui Wang; +1 Authors

Temperature legacies predict microbial metabolic quotient across forest biomes

Abstract

AbstractAimPalaeoclimate legacies have been reported to influence microbial communities and carbon (C) stocks even after thousands of years. However, the direct and indirect influences of climate legacies on microbial C processes remain poorly understood and thus limit our capacity to predict how climate legacies regulate C cycling. Here, we conducted microbial, soil and vegetation surveys along a continental latitudinal transect of 4200 km covering a wide range of forest biomes. With these data, we evaluated the potential capacity of climate legacies to predict direct and indirect variations in microbial metabolic quotient (MMQ) across and within three main forest biomes: tropical, subtropical and temperate forests.LocationNorth–south transect (4200 km), China.Time period2019.Major taxa studiedSoil microbes.MethodsWe used molecular ecology technology to determine microbial biomass and diversity, in addition to a soil incubation experiment to measure MMQ.ResultsPalaeoclimate explained a unique portion of the variation in the continental distribution of MMQ, which showed a hump‐shaped pattern with latitude. Locations with increased isothermality (an index of temperature) over the last 20,000 years also showed the highest MMQ in the present day. Moreover, we found multiple indirect effects of climate legacies on MMQ caused either by changes in key soil properties, such as soil organic carbon and ammonium (NH4+), in lower latitudinal regions or by plant traits in higher latitudinal regions. Furthermore, MMQ was positively related to bacterial richness but negatively to fungal richness across forest biomes.Main conclusionsClimate legacies associated with continuous changes in temperature over the last 20,000 years influenced MMQ across forest biomes. Our findings demonstrate that including climate legacies in climate carbon models is essential for better prediction of the microbe‐driven ecosystem processes under global environmental change.

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Keywords

Carbon cycling, Forest ecosystems, Microbial metabolic quotient, Microbial diversity, Climate legacy, Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss, XXXXXX - Unknown, http://metadata.un.org/sdg/15, Plant attribute

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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