The strengthened impact of water availability at interannual and decadal time scales on vegetation GPP

© 2024 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 30(2024), 1 vom: 04. Jan., Seite e17138
1. Verfasser: Liang, Chuanzhuang (VerfasserIn)
Weitere Verfasser: Zhang, Mingyang, Wang, Zheng, Xiang, Xueqiao, Gong, Haibo, Wang, Kelin, Liu, Huiyu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article ensemble empirical mode decomposition geographically weighted regression global water availability gross primary productivity multiple time scale analysis Water 059QF0KO0R
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520 |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 
650 4 |a Journal Article 
650 4 |a ensemble empirical mode decomposition 
650 4 |a geographically weighted regression 
650 4 |a global water availability 
650 4 |a gross primary productivity 
650 4 |a multiple time scale analysis 
650 7 |a Water  |2 NLM 
650 7 |a 059QF0KO0R  |2 NLM 
700 1 |a Zhang, Mingyang  |e verfasserin  |4 aut 
700 1 |a Wang, Zheng  |e verfasserin  |4 aut 
700 1 |a Xiang, Xueqiao  |e verfasserin  |4 aut 
700 1 |a Gong, Haibo  |e verfasserin  |4 aut 
700 1 |a Wang, Kelin  |e verfasserin  |4 aut 
700 1 |a Liu, Huiyu  |e verfasserin  |4 aut 
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773 1 8 |g volume:30  |g year:2024  |g number:1  |g day:04  |g month:01  |g pages:e17138 
856 4 0 |u http://dx.doi.org/10.1111/gcb.17138  |3 Volltext 
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