Emergence of the physiological effects of elevated CO2 on land-atmosphere exchange of carbon and water

© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 28(2022), 24 vom: 13. Dez., Seite 7313-7326
1. Verfasser: Zhan, Chunhui (VerfasserIn)
Weitere Verfasser: Orth, René, Migliavacca, Mirco, Zaehle, Sönke, Reichstein, Markus, Engel, Jan, Rammig, Anja, Winkler, Alexander J
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article CO2 fertilization carbon cycle hyrdological cycle land-atmosphere interactions signal detection terrestrial biosphere and Earth system model terrestrial ecosystems Carbon Dioxide 142M471B3J mehr... Carbon 7440-44-0 Water 059QF0KO0R
LEADER 01000naa a22002652 4500
001 NLM346147409
003 DE-627
005 20231226030728.0
007 cr uuu---uuuuu
008 231226s2022 xx |||||o 00| ||eng c
024 7 |a 10.1111/gcb.16397  |2 doi 
028 5 2 |a pubmed24n1153.xml 
035 |a (DE-627)NLM346147409 
035 |a (NLM)36097831 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Zhan, Chunhui  |e verfasserin  |4 aut 
245 1 0 |a Emergence of the physiological effects of elevated CO2 on land-atmosphere exchange of carbon and water 
264 1 |c 2022 
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 15.11.2022 
500 |a Date Revised 26.11.2022 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd. 
520 |a Elevated atmospheric CO2 (eCO2 ) influences the carbon assimilation rate and stomatal conductance of plants, thereby affecting the global cycles of carbon and water. Yet, the detection of these physiological effects of eCO2 in observational data remains challenging, because natural variations and confounding factors (e.g., warming) can overshadow the eCO2 effects in observational data of real-world ecosystems. In this study, we aim at developing a method to detect the emergence of the physiological CO2 effects on various variables related to carbon and water fluxes. We mimic the observational setting in ecosystems using a comprehensive process-based land surface model QUINCY to simulate the leaf-level effects of increasing atmospheric CO2 concentrations and their century-long propagation through the terrestrial carbon and water cycles across different climate regimes and biomes. We then develop a statistical method based on the signal-to-noise ratio to detect the emergence of the eCO2 effects. The eCO2 effect on gross primary productivity (GPP) emerges at relatively low CO2 increase (∆[CO2 ] ~ 20 ppm) where the leaf area index is relatively high. Compared to GPP, the eCO2 effect causing reduced transpiration water flux (normalized to leaf area) emerges only at relatively high CO2 increase (∆[CO2 ] >> 40 ppm), due to the high sensitivity to climate variability and thus lower signal-to-noise ratio. In general, the response to eCO2 is detectable earlier for variables related to the carbon cycle than the water cycle, when plant productivity is not limited by climatic constraints, and stronger in forest-dominated rather than in grass-dominated ecosystems. Our results provide a step toward when and where we expect to detect physiological CO2 effects in in-situ flux measurements, how to detect them and encourage future efforts to improve the understanding and quantification of these effects in observations of terrestrial carbon and water dynamics 
650 4 |a Journal Article 
650 4 |a CO2 fertilization 
650 4 |a carbon cycle 
650 4 |a hyrdological cycle 
650 4 |a land-atmosphere interactions 
650 4 |a signal detection 
650 4 |a terrestrial biosphere and Earth system model 
650 4 |a terrestrial ecosystems 
650 7 |a Carbon Dioxide  |2 NLM 
650 7 |a 142M471B3J  |2 NLM 
650 7 |a Carbon  |2 NLM 
650 7 |a 7440-44-0  |2 NLM 
650 7 |a Water  |2 NLM 
650 7 |a 059QF0KO0R  |2 NLM 
700 1 |a Orth, René  |e verfasserin  |4 aut 
700 1 |a Migliavacca, Mirco  |e verfasserin  |4 aut 
700 1 |a Zaehle, Sönke  |e verfasserin  |4 aut 
700 1 |a Reichstein, Markus  |e verfasserin  |4 aut 
700 1 |a Engel, Jan  |e verfasserin  |4 aut 
700 1 |a Rammig, Anja  |e verfasserin  |4 aut 
700 1 |a Winkler, Alexander J  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 28(2022), 24 vom: 13. Dez., Seite 7313-7326  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnns 
773 1 8 |g volume:28  |g year:2022  |g number:24  |g day:13  |g month:12  |g pages:7313-7326 
856 4 0 |u http://dx.doi.org/10.1111/gcb.16397  |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 28  |j 2022  |e 24  |b 13  |c 12  |h 7313-7326