期刊
NATURE ECOLOGY & EVOLUTION
卷 5, 期 8, 页码 1110-+出版社
NATURE PORTFOLIO
DOI: 10.1038/s41559-021-01485-1
关键词
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资金
- ETH Zurich Postdoctoral Fellowship programme
- China Scholarship Council
- DOB Ecology
- Swiss National Science Foundation [PCEFP2_181115]
- Lawrence Fellow award through the Lawrence Livermore National Laboratory
- US Department of Energy [DE-AC52-07NA27344]
- Lawrence Livermore National Laboratory LDRD (Laboratory Directed Research & Development) Program [20-ERD-055]
- Swiss National Science Foundation (SNF) [PCEFP2_181115] Funding Source: Swiss National Science Foundation (SNF)
The study reveals significant gradients in root-mass fractions among different vegetation types, largely influenced by resource availability. High RMFs are found in cold and dry ecosystems, while low RMFs dominate in warm and wet regions.
A poor understanding of the fraction of global plant biomass occurring belowground as roots limits our understanding of present and future ecosystem function and carbon pools. Here we create a database of root-mass fractions (RMFs), an index of plant below- versus aboveground biomass distributions, and generate quantitative, spatially explicit global maps of RMFs in trees, shrubs and grasses. Our analyses reveal large gradients in RMFs both across and within vegetation types that can be attributed to resource availability. High RMFs occur in cold and dry ecosystems, while low RMFs dominate in warm and wet regions. Across all vegetation types, the directional effect of temperature on RMFs depends on water availability, suggesting feedbacks between heat, water and nutrient supply. By integrating our RMF maps with existing aboveground plant biomass information, we estimate that in forests, shrublands and grasslands, respectively, 22%, 47% and 67% of plant biomass exists belowground, with a total global belowground fraction of 24% (20-28%), that is, 113 (90-135) Gt carbon. By documenting the environmental correlates of root biomass allocation, our results can inform model projections of global vegetation dynamics under current and future climate scenarios. The fraction of plant biomass in aboveground versus root tissues has implications for carbon storage and dynamics. Here the authors collate a dataset on root-mass fractions and use these data to explore large scale patterns of belowground plant biomass.
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