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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.16422
|2 doi
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|e rakwb
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|a eng
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1 |
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|a Wang, Zhen
|e verfasserin
|4 aut
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|a Regressions underestimate the direct effect of soil moisture on land carbon sink variability
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 15.11.2022
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|a Date Revised 26.11.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2022 John Wiley & Sons Ltd.
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|a Multiple linear regression (MLR) is widely used to attribute causes of the interannual variability (IAV) of land carbon uptake, yet, parameter estimation in MLR can be problematic if the predictors are strongly inter-correlated. Recently, Humphrey et al., (2021) used MLR method to conclude that the indirect effect of soil moisture (SM) via land-atmosphere coupling, rather than direct effect of SM on photosynthesis and respiration, controls the IAV of NBP. Here we assess the validity of MLR and find that the direct effect of SM on NBP-IAV is greatly underestimated by MLR, which may undermine their main conclusion
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|a Letter
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|a Carbon Dioxide
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|2 NLM
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|a Carbon
|2 NLM
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|a 7440-44-0
|2 NLM
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| 700 |
1 |
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|a Zhu, Dan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Xuhui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Yao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Peng, Shushi
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 28(2022), 24 vom: 29. Dez., Seite 7161-7163
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnas
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| 773 |
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|g volume:28
|g year:2022
|g number:24
|g day:29
|g month:12
|g pages:7161-7163
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|u http://dx.doi.org/10.1111/gcb.16422
|3 Volltext
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