|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM374985170 |
| 003 |
DE-627 |
| 005 |
20240716233801.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
240716s2024 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1111/gcb.17423
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1472.xml
|
| 035 |
|
|
|a (DE-627)NLM374985170
|
| 035 |
|
|
|a (NLM)39010751
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Fan, Lei
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery
|
| 264 |
|
1 |
|c 2024
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 16.07.2024
|
| 500 |
|
|
|a Date Revised 16.07.2024
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a © 2024 John Wiley & Sons Ltd.
|
| 520 |
|
|
|a 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
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a El Niño
|
| 650 |
|
4 |
|a aboveground carbon
|
| 650 |
|
4 |
|a non‐forest woody vegetation
|
| 650 |
|
4 |
|a recovery
|
| 650 |
|
4 |
|a remote sensing
|
| 650 |
|
4 |
|a tropics
|
| 650 |
|
7 |
|a Carbon
|2 NLM
|
| 650 |
|
7 |
|a 7440-44-0
|2 NLM
|
| 700 |
1 |
|
|a Cui, Tianxiang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wigneron, Jean-Pierre
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ciais, Philippe
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Sitch, Stephen
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Brandt, Martin
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Li, Xin
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Niu, Shuli
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Xiao, Xiangming
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Chave, Jérome
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wu, Chaoyang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Li, Wei
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Yuan, Wenping
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Xing, Zanpin
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Li, Xiaojun
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wang, Mengjia
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Liu, Xiangzhuo
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Chen, Xiuzhi
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Qin, Yuanwei
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Yang, Hui
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Tang, Qiang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Li, Yuechen
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ma, Mingguo
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Fensholt, Rasmus
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 30(2024), 7 vom: 16. Juli, Seite e17423
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
|
| 773 |
1 |
8 |
|g volume:30
|g year:2024
|g number:7
|g day:16
|g month:07
|g pages:e17423
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1111/gcb.17423
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 30
|j 2024
|e 7
|b 16
|c 07
|h e17423
|