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Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery.

Lei FanTianxiang CuiJean-Pierre WigneronPhilippe CiaisStephen SitchMartin BrandtXin LiShuli NiuXiangming XiaoJerome ChaveChaoyang WuWei LiWenping YuanZanpin XingXiaojun LiMengjia WangXiangzhuo LiuXiuzhi ChenYuanwei QinHui YangQiang TangYuechen LiMingguo MaRasmus Fensholt
Published in: Global change biology (2024)
The extreme dry and hot 2015/16 El Niño episode caused large losses in tropical live aboveground carbon (AGC) stocks. Followed by climatic conditions conducive to high vegetation productivity since 2016, tropical AGC are expected to recover from large losses during the El Niño episode; however, the recovery rate and its spatial distribution remain unknown. Here, we used low-frequency microwave satellite data to track AGC changes, and showed that tropical AGC stocks returned to pre-El Niño levels by the end of 2020, resulting in an AGC sink of 0.18 0.14 0.26 $$ {0.18}_{0.14}^{0.26} $$ Pg C year -1 during 2014-2020. This sink was dominated by strong AGC increases ( 0.61 0.49 0.84 $$ {0.61}_{0.49}^{0.84} $$ Pg C year -1 ) in non-forest woody vegetation during 2016-2020, compensating the forest AGC losses attributed to the El Niño event, forest loss, and degradation. Our findings highlight that non-forest woody vegetation is an increasingly important contributor to interannual to decadal variability in the global carbon cycle.
Keyphrases
  • climate change
  • metal organic framework
  • transition metal
  • machine learning