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240126s2024 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.17138
|2 doi
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|a pubmed24n1274.xml
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|a (NLM)38273499
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|a DE-627
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|a eng
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1 |
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|a Liang, Chuanzhuang
|e verfasserin
|4 aut
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|a The strengthened impact of water availability at interannual and decadal time scales on vegetation GPP
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|c 2024
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 29.01.2024
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|a Date Revised 29.01.2024
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|a published: Print
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|a Citation Status MEDLINE
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|a © 2024 John Wiley & Sons Ltd.
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|a Water availability (WA) is a key factor influencing the carbon cycle of terrestrial ecosystems under climate warming, but its effects on gross primary production (EWA-GPP ) at multiple time scales are poorly understood. We used ensemble empirical mode decomposition (EEMD) and partial correlation analysis to assess the WA-GPP relationship (RWA-GPP ) at different time scales, and geographically weighted regression (GWR) to analyze their temporal dynamics from 1982 to 2018 with multiple GPP datasets, including near-infrared radiance of vegetation GPP, FLUXCOM GPP, and eddy covariance-light-use efficiency GPP. We found that the 3- and 7-year time scales dominated global WA variability (61.18% and 11.95%), followed by the 17- and 40-year time scales (7.28% and 8.23%). The long-term trend also influenced 10.83% of the regions, mainly in humid areas. We found consistent spatiotemporal patterns of the EWA-GPP and RWA-GPP with different source products: In high-latitude regions, RWA-GPP changed from negative to positive as the time scale increased, while the opposite occurred in mid-low latitudes. Forests had weak RWA-GPP at all time scales, shrublands showed negative RWA-GPP at long time scales, and grassland (GL) showed a positive RWA-GPP at short time scales. Globally, the EWA-GPP , whether positive or negative, enhanced significantly at 3-, 7-, and 17-year time scales. For arid and humid zones, the semi-arid and sub-humid zones experienced a faster increase in the positive EWA-GPP , whereas the humid zones experienced a faster increase in the negative EWA-GPP . At the ecosystem types, the positive EWA-GPP at a 3-year time scale increased faster in GL, deciduous broadleaf forest, and savanna (SA), whereas the negative EWA-GPP at other time scales increased faster in evergreen needleleaf forest, woody savannas, and SA. Our study reveals the complex and dynamic EWA-GPP at multiple time scales, which provides a new perspective for understanding the responses of terrestrial ecosystems to climate change
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|a Journal Article
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|a ensemble empirical mode decomposition
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|a geographically weighted regression
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|a global water availability
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|a gross primary productivity
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|a multiple time scale analysis
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|a Water
|2 NLM
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|a 059QF0KO0R
|2 NLM
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|a Zhang, Mingyang
|e verfasserin
|4 aut
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1 |
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|a Wang, Zheng
|e verfasserin
|4 aut
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700 |
1 |
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|a Xiang, Xueqiao
|e verfasserin
|4 aut
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1 |
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|a Gong, Haibo
|e verfasserin
|4 aut
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|a Wang, Kelin
|e verfasserin
|4 aut
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700 |
1 |
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|a Liu, Huiyu
|e verfasserin
|4 aut
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773 |
0 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 30(2024), 1 vom: 04. Jan., Seite e17138
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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|g volume:30
|g year:2024
|g number:1
|g day:04
|g month:01
|g pages:e17138
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|u http://dx.doi.org/10.1111/gcb.17138
|3 Volltext
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