Increasing importance of precipitation in spring phenology with decreasing latitudes in subtropical forest area in China
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Climate warming has significantly advanced plant spring phenology in temperate and boreal biomes in the northern hemisphere. However, the response of subtropical forest phenology to climate change remains largely unclear. This study aimed to determine the spatiotemporal patterns of spring photosynthetic phenology in subtropical forests in China over the period 2002-2017 and explore its underlying mechanism in response to the changes of different climate variables. We applied four methods to extract the start of the photosynthetic period (SOP) from a solar–induced chlorophyll fluorescence (SIF) data set during the period 2002 to 2017, and determined correlations between SOP and environmental factors using partial correlation analyses. Overall, the SOP was advanced by 6.8 days. Furthermore, we found that the SIF-based SOP is highly correlated with the flux data–based photosynthetic onset dates, demonstrating that SIF can be a useful index in characterizing the photosynthetic phenology in subtropical forests. Interestingly, based on partial correlation analysation temperature dominated the SOP in the northern subtropical forest, but the importance of precipitation increased with decreasing latitudes, and the primary climatic control of SOP in southern monsoon evergreen forests is precipitation. These results suggested that the predicted increase in temperature and shift in precipitation regimes under ongoing climate change might potentially largely affect the photosynthetic phenology, and thus affect the carbon and water cycles in subtropical forests.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 108427 |
| Tidsskrift | Agricultural and Forest Meteorology |
| Vol/bind | 304-305 |
| Antal sider | 9 |
| ISSN | 0168-1923 |
| DOI | |
| Status | Udgivet - 2021 |
Bibliografisk note
Funding Information:
This study was supported by the National Funds for Distinguished Young youths (Grant No. 42025101 ), the National Key Research and Development Program of China (Grant No. 2017YFA06036001 ), the National Natural Science Foundation of China (Grant No. 31770516 ), the 111 Project (Grant No. B18006 ). The authors would like to thank the Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire for providing ‘OCO–2’ SIF dataset, Cold and Arid Regions Science Data Center at Lanzhou for providing China Meteorological Forcing Datasets, the Vegetation Index and Phenology (VIP) Lab from the Biosystems Engineering department at the University of Arizona for providing the EVI dataset downloading, and the ChinaFLUX for providing Flux datasets. We thank Robert McKenzie for editing the English text of a draft of this manuscript.
Funding Information:
This study was supported by the National Funds for Distinguished Young youths (Grant No. 42025101), the National Key Research and Development Program of China (Grant No.2017YFA06036001), the National Natural Science Foundation of China (Grant No. 31770516), the 111 Project (Grant No. B18006). The authors would like to thank the Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire for providing ?OCO?2? SIF dataset, Cold and Arid Regions Science Data Center at Lanzhou for providing China Meteorological Forcing Datasets, the Vegetation Index and Phenology (VIP) Lab from the Biosystems Engineering department at the University of Arizona for providing the EVI dataset downloading, and the ChinaFLUX for providing Flux datasets. We thank Robert McKenzie for editing the English text of a draft of this manuscript.
Publisher Copyright:
© 2021 Elsevier B.V.
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