| Literature DB >> 35351892 |
Haibo Lu1, Zhangcai Qin1, Shangrong Lin1, Xiuzhi Chen1, Baozhang Chen2,3, Bin He4, Jing Wei1, Wenping Yuan5.
Abstract
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Year: 2022 PMID: 35351892 PMCID: PMC8964671 DOI: 10.1038/s41467-022-29009-w
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Fig. 1Effects of soil moisture (SM) and vapor pressure deficit (VPD) on photosynthetically active radiation (PAR) and fraction of photosynthetically active radiation absorbed by plants (fPAR) globally.
a, b Indicate the spatial distribution of the changes in PAR caused by high VPD (ΔPAR(VPD|SM)) and low soil moisture (SM) (ΔPAR(SM|VPD)), and c shows the probability density function of ΔPAR. d–f Indicate the corresponding changes of fPAR. For better comparability in space, the PAR and fPAR data time series were normalized by the average exceeding 90th percentile per pixel. The units refer to the fractions relative to average PAR and fPAR exceeding the 90th percentile in each grid cell. Regions with sparse vegetation and regions without valid data are masked in white.
Fig. 2The comparison on impacts of soil moisture (SM) and vapor pressure deficit (VPD) on ecosystem light use efficiency (LUE) based on measurements of eddy covariance sites and global model data.
a Differences between ΔLUE(SM|VPD) and ΔLUE(VPD|SM) at 40 eddy covariance sites. b Differences between ΔLUE(SM|VPD) and ΔLUE(VPD|SM) based on FLUXCOM dataset. The positive values indicate larger impacts of VPD relative to SM in a, b. Note, where ΔLUE(SM|VPD)>0, the difference equals to ΔLUE(VPD|SM) in a, b; where ΔLUE(VPD|SM)>0, the difference is ΔLUE(SM|VPD); and where both are positive, the difference is not shown. For better comparability in space, the LUE data time series was normalized by the average LUE exceeding 90th percentile. The units refer to the fractions relative to average LUE exceeding the 90th percentile for each eddy covariance site and each grid cell.