4.7 Article

A decreasing carbon allocation to belowground autotrophic respiration in global forest ecosystems

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 798, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.149273

关键词

Carbon allocation; Belowground autotrophic respiration; Random forest; Carbon cycling; Aboveground respiration; Gross primary production

资金

  1. National Science Foundation of China [31800365]
  2. Everest Scientific Research Program, Chengdu University of Technology [80000-2021ZF11410]
  3. Specialized Fund for the Post-Disaster Reconstruction and Heritage Protection in Sichuan Province [5132202019000128]
  4. Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK0307]
  5. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project [SKLGP2018Z004]
  6. key technologies ofMountain rail transit green construction in ecologically sensitive region based onMountain rail transit fromDujiangyan toMt. Siguniang anti-poverty project [2018-zl-08]
  7. Study on risk identification and countermeasures of Sichuan-Tibet Railway Major Projects [2019YFG0460]

向作者/读者索取更多资源

The study focused on belowground autotrophic respiration (RA(soil)) in global forest ecosystems from 1981 to 2017, using a Random Forest algorithm to predict spatio-temporal patterns and calculating carbon allocation to RA(soil) from photosynthesis. Results showed an increase in mean RA(soil) globally, while carbon allocation (CA(B)) decreased over time, reflecting uneven responses of forest ecosystems to environmental changes. The study provides insights into global carbon cycling and carbon flux partitioning under climate change.
Belowground autotrophic respiration (RA(soil)) depends on carbohydrates from photosynthesis flowing to roots and rhizospheres, and is one of the most important but least understood components in forest carbon cycling. Carbon allocation plays an important role in forest carbon cycling and reflects forest adaptation to changing en-vironmental conditions. However, carbon allocation to RA(soil) has not been fully examined at the global scale. To fill this knowledge gap, we first used a Random Forest algorithm to predict the spatio-temporal patterns of RA(soil) from 1981 to 2017 based on the most updated Global Soil Respiration Database (v5) with global environmental variables; calculated carbon allocation from photosynthesis to RA(soil) (CA(B)) as a fraction of gross primary produc-tion; and assessed its temporal and spatial patterns in global forest ecosystems. Globally, mean RA(soil) from forests was 8.9 +/- 0.08 Pg C yr(-1) (mean +/- standard deviation) from 1981 to 2017 and increased significantly at a rate of 0.006 Pg C yr(-2), paralleling broader soil respiration changes and suggesting increasing carbon respired by roots. Mean CA(B) was 0.243 +/- 0.016 and decreased over time. The temporal trend of CA(B) varied greatly in space, reflecting uneven responses of CAR to environmental changes. Combined with carbon use efficiency, our CA(B) results offer a completely independent approach to quantify global aboveground autotropic respiration spatially and temporally, and could provide crucial insights into carbon flux partitioning and global carbon cycling under climate change. (C) 2021 Elsevier B.V. All rights reserved.

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